Copyright | (c) 2013-2023 Brendan Hay |
---|---|
License | Mozilla Public License, v. 2.0. |
Maintainer | Brendan Hay |
Stability | auto-generated |
Portability | non-portable (GHC extensions) |
Safe Haskell | Safe-Inferred |
Language | Haskell2010 |
- Operations
- AddAssociation
- AddTags
- AssociateTrialComponent
- BatchDescribeModelPackage
- CreateAction
- CreateAlgorithm
- CreateApp
- CreateAppImageConfig
- CreateArtifact
- CreateAutoMLJob
- CreateCodeRepository
- CreateCompilationJob
- CreateContext
- CreateDataQualityJobDefinition
- CreateDeviceFleet
- CreateDomain
- CreateEdgeDeploymentPlan
- CreateEdgeDeploymentStage
- CreateEdgePackagingJob
- CreateEndpoint
- CreateEndpointConfig
- CreateExperiment
- CreateFeatureGroup
- CreateFlowDefinition
- CreateHub
- CreateHumanTaskUi
- CreateHyperParameterTuningJob
- CreateImage
- CreateImageVersion
- CreateInferenceExperiment
- CreateInferenceRecommendationsJob
- CreateLabelingJob
- CreateModel
- CreateModelBiasJobDefinition
- CreateModelCard
- CreateModelCardExportJob
- CreateModelExplainabilityJobDefinition
- CreateModelPackage
- CreateModelPackageGroup
- CreateModelQualityJobDefinition
- CreateMonitoringSchedule
- CreateNotebookInstance
- CreateNotebookInstanceLifecycleConfig
- CreatePipeline
- CreatePresignedDomainUrl
- CreatePresignedNotebookInstanceUrl
- CreateProcessingJob
- CreateProject
- CreateSpace
- CreateStudioLifecycleConfig
- CreateTrainingJob
- CreateTransformJob
- CreateTrial
- CreateTrialComponent
- CreateUserProfile
- CreateWorkforce
- CreateWorkteam
- DeleteAction
- DeleteAlgorithm
- DeleteApp
- DeleteAppImageConfig
- DeleteArtifact
- DeleteAssociation
- DeleteCodeRepository
- DeleteContext
- DeleteDataQualityJobDefinition
- DeleteDeviceFleet
- DeleteDomain
- DeleteEdgeDeploymentPlan
- DeleteEdgeDeploymentStage
- DeleteEndpoint
- DeleteEndpointConfig
- DeleteExperiment
- DeleteFeatureGroup
- DeleteFlowDefinition
- DeleteHub
- DeleteHubContent
- DeleteHumanTaskUi
- DeleteImage
- DeleteImageVersion
- DeleteInferenceExperiment
- DeleteModel
- DeleteModelBiasJobDefinition
- DeleteModelCard
- DeleteModelExplainabilityJobDefinition
- DeleteModelPackage
- DeleteModelPackageGroup
- DeleteModelPackageGroupPolicy
- DeleteModelQualityJobDefinition
- DeleteMonitoringSchedule
- DeleteNotebookInstance
- DeleteNotebookInstanceLifecycleConfig
- DeletePipeline
- DeleteProject
- DeleteSpace
- DeleteStudioLifecycleConfig
- DeleteTags
- DeleteTrial
- DeleteTrialComponent
- DeleteUserProfile
- DeleteWorkforce
- DeleteWorkteam
- DeregisterDevices
- DescribeAction
- DescribeAlgorithm
- DescribeApp
- DescribeAppImageConfig
- DescribeArtifact
- DescribeAutoMLJob
- DescribeCodeRepository
- DescribeCompilationJob
- DescribeContext
- DescribeDataQualityJobDefinition
- DescribeDevice
- DescribeDeviceFleet
- DescribeDomain
- DescribeEdgeDeploymentPlan
- DescribeEdgePackagingJob
- DescribeEndpoint
- DescribeEndpointConfig
- DescribeExperiment
- DescribeFeatureGroup
- DescribeFeatureMetadata
- DescribeFlowDefinition
- DescribeHub
- DescribeHubContent
- DescribeHumanTaskUi
- DescribeHyperParameterTuningJob
- DescribeImage
- DescribeImageVersion
- DescribeInferenceExperiment
- DescribeInferenceRecommendationsJob
- DescribeLabelingJob
- DescribeLineageGroup
- DescribeModel
- DescribeModelBiasJobDefinition
- DescribeModelCard
- DescribeModelCardExportJob
- DescribeModelExplainabilityJobDefinition
- DescribeModelPackage
- DescribeModelPackageGroup
- DescribeModelQualityJobDefinition
- DescribeMonitoringSchedule
- DescribeNotebookInstance
- DescribeNotebookInstanceLifecycleConfig
- DescribePipeline
- DescribePipelineDefinitionForExecution
- DescribePipelineExecution
- DescribeProcessingJob
- DescribeProject
- DescribeSpace
- DescribeStudioLifecycleConfig
- DescribeSubscribedWorkteam
- DescribeTrainingJob
- DescribeTransformJob
- DescribeTrial
- DescribeTrialComponent
- DescribeUserProfile
- DescribeWorkforce
- DescribeWorkteam
- DisableSagemakerServicecatalogPortfolio
- DisassociateTrialComponent
- EnableSagemakerServicecatalogPortfolio
- GetDeviceFleetReport
- GetLineageGroupPolicy
- GetModelPackageGroupPolicy
- GetSagemakerServicecatalogPortfolioStatus
- GetSearchSuggestions
- ImportHubContent
- ListActions
- ListAlgorithms
- ListAliases
- ListAppImageConfigs
- ListApps
- ListArtifacts
- ListAssociations
- ListAutoMLJobs
- ListCandidatesForAutoMLJob
- ListCodeRepositories
- ListCompilationJobs
- ListContexts
- ListDataQualityJobDefinitions
- ListDeviceFleets
- ListDevices
- ListDomains
- ListEdgeDeploymentPlans
- ListEdgePackagingJobs
- ListEndpointConfigs
- ListEndpoints
- ListExperiments
- ListFeatureGroups
- ListFlowDefinitions
- ListHubContentVersions
- ListHubContents
- ListHubs
- ListHumanTaskUis
- ListHyperParameterTuningJobs
- ListImageVersions
- ListImages
- ListInferenceExperiments
- ListInferenceRecommendationsJobSteps
- ListInferenceRecommendationsJobs
- ListLabelingJobs
- ListLabelingJobsForWorkteam
- ListLineageGroups
- ListModelBiasJobDefinitions
- ListModelCardExportJobs
- ListModelCardVersions
- ListModelCards
- ListModelExplainabilityJobDefinitions
- ListModelMetadata
- ListModelPackageGroups
- ListModelPackages
- ListModelQualityJobDefinitions
- ListModels
- ListMonitoringAlertHistory
- ListMonitoringAlerts
- ListMonitoringExecutions
- ListMonitoringSchedules
- ListNotebookInstanceLifecycleConfigs
- ListNotebookInstances
- ListPipelineExecutionSteps
- ListPipelineExecutions
- ListPipelineParametersForExecution
- ListPipelines
- ListProcessingJobs
- ListProjects
- ListSpaces
- ListStageDevices
- ListStudioLifecycleConfigs
- ListSubscribedWorkteams
- ListTags
- ListTrainingJobs
- ListTrainingJobsForHyperParameterTuningJob
- ListTransformJobs
- ListTrialComponents
- ListTrials
- ListUserProfiles
- ListWorkforces
- ListWorkteams
- PutModelPackageGroupPolicy
- QueryLineage
- RegisterDevices
- RenderUiTemplate
- RetryPipelineExecution
- Search
- SendPipelineExecutionStepFailure
- SendPipelineExecutionStepSuccess
- StartEdgeDeploymentStage
- StartInferenceExperiment
- StartMonitoringSchedule
- StartNotebookInstance
- StartPipelineExecution
- StopAutoMLJob
- StopCompilationJob
- StopEdgeDeploymentStage
- StopEdgePackagingJob
- StopHyperParameterTuningJob
- StopInferenceExperiment
- StopInferenceRecommendationsJob
- StopLabelingJob
- StopMonitoringSchedule
- StopNotebookInstance
- StopPipelineExecution
- StopProcessingJob
- StopTrainingJob
- StopTransformJob
- UpdateAction
- UpdateAppImageConfig
- UpdateArtifact
- UpdateCodeRepository
- UpdateContext
- UpdateDeviceFleet
- UpdateDevices
- UpdateDomain
- UpdateEndpoint
- UpdateEndpointWeightsAndCapacities
- UpdateExperiment
- UpdateFeatureGroup
- UpdateFeatureMetadata
- UpdateHub
- UpdateImage
- UpdateImageVersion
- UpdateInferenceExperiment
- UpdateModelCard
- UpdateModelPackage
- UpdateMonitoringAlert
- UpdateMonitoringSchedule
- UpdateNotebookInstance
- UpdateNotebookInstanceLifecycleConfig
- UpdatePipeline
- UpdatePipelineExecution
- UpdateProject
- UpdateSpace
- UpdateTrainingJob
- UpdateTrial
- UpdateTrialComponent
- UpdateUserProfile
- UpdateWorkforce
- UpdateWorkteam
- Types
- ActionSource
- ActionSummary
- AdditionalInferenceSpecificationDefinition
- AgentVersion
- Alarm
- AlgorithmSpecification
- AlgorithmStatusDetails
- AlgorithmStatusItem
- AlgorithmSummary
- AlgorithmValidationProfile
- AlgorithmValidationSpecification
- AnnotationConsolidationConfig
- AppDetails
- AppImageConfigDetails
- AppSpecification
- ArtifactSource
- ArtifactSourceType
- ArtifactSummary
- AssociationSummary
- AsyncInferenceClientConfig
- AsyncInferenceConfig
- AsyncInferenceNotificationConfig
- AsyncInferenceOutputConfig
- AthenaDatasetDefinition
- AutoMLCandidate
- AutoMLCandidateGenerationConfig
- AutoMLCandidateStep
- AutoMLChannel
- AutoMLContainerDefinition
- AutoMLDataSource
- AutoMLDataSplitConfig
- AutoMLJobArtifacts
- AutoMLJobCompletionCriteria
- AutoMLJobConfig
- AutoMLJobObjective
- AutoMLJobStepMetadata
- AutoMLJobSummary
- AutoMLOutputDataConfig
- AutoMLPartialFailureReason
- AutoMLS3DataSource
- AutoMLSecurityConfig
- AutoRollbackConfig
- BatchDataCaptureConfig
- BatchDescribeModelPackageError
- BatchDescribeModelPackageSummary
- BatchTransformInput
- Bias
- BlueGreenUpdatePolicy
- CacheHitResult
- CallbackStepMetadata
- CandidateArtifactLocations
- CandidateProperties
- CanvasAppSettings
- CapacitySize
- CaptureContentTypeHeader
- CaptureOption
- CategoricalParameter
- CategoricalParameterRange
- CategoricalParameterRangeSpecification
- Channel
- ChannelSpecification
- CheckpointConfig
- ClarifyCheckStepMetadata
- ClarifyExplainerConfig
- ClarifyInferenceConfig
- ClarifyShapBaselineConfig
- ClarifyShapConfig
- ClarifyTextConfig
- CodeRepository
- CodeRepositorySummary
- CognitoConfig
- CognitoMemberDefinition
- CollectionConfiguration
- CompilationJobSummary
- ConditionStepMetadata
- ContainerDefinition
- ContextSource
- ContextSummary
- ContinuousParameterRange
- ContinuousParameterRangeSpecification
- CustomImage
- DataCaptureConfig
- DataCaptureConfigSummary
- DataCatalogConfig
- DataProcessing
- DataQualityAppSpecification
- DataQualityBaselineConfig
- DataQualityJobInput
- DataSource
- DatasetDefinition
- DebugHookConfig
- DebugRuleConfiguration
- DebugRuleEvaluationStatus
- DefaultSpaceSettings
- DeployedImage
- DeploymentConfig
- DeploymentStage
- DeploymentStageStatusSummary
- DesiredWeightAndCapacity
- Device
- DeviceDeploymentSummary
- DeviceFleetSummary
- DeviceSelectionConfig
- DeviceStats
- DeviceSummary
- DomainDetails
- DomainSettings
- DomainSettingsForUpdate
- DriftCheckBaselines
- DriftCheckBias
- DriftCheckExplainability
- DriftCheckModelDataQuality
- DriftCheckModelQuality
- EMRStepMetadata
- Edge
- EdgeDeploymentConfig
- EdgeDeploymentModelConfig
- EdgeDeploymentPlanSummary
- EdgeDeploymentStatus
- EdgeModel
- EdgeModelStat
- EdgeModelSummary
- EdgeOutputConfig
- EdgePackagingJobSummary
- EdgePresetDeploymentOutput
- Endpoint
- EndpointConfigSummary
- EndpointInfo
- EndpointInput
- EndpointInputConfiguration
- EndpointMetadata
- EndpointOutputConfiguration
- EndpointPerformance
- EndpointSummary
- EnvironmentParameter
- EnvironmentParameterRanges
- Experiment
- ExperimentConfig
- ExperimentSource
- ExperimentSummary
- Explainability
- ExplainerConfig
- FailStepMetadata
- FeatureDefinition
- FeatureGroup
- FeatureGroupSummary
- FeatureMetadata
- FeatureParameter
- FileSource
- FileSystemConfig
- FileSystemDataSource
- Filter
- FinalAutoMLJobObjectiveMetric
- FinalHyperParameterTuningJobObjectiveMetric
- FlowDefinitionOutputConfig
- FlowDefinitionSummary
- GitConfig
- GitConfigForUpdate
- HubContentDependency
- HubContentInfo
- HubInfo
- HubS3StorageConfig
- HumanLoopActivationConditionsConfig
- HumanLoopActivationConfig
- HumanLoopConfig
- HumanLoopRequestSource
- HumanTaskConfig
- HumanTaskUiSummary
- HyperParameterAlgorithmSpecification
- HyperParameterSpecification
- HyperParameterTrainingJobDefinition
- HyperParameterTrainingJobSummary
- HyperParameterTuningInstanceConfig
- HyperParameterTuningJobConfig
- HyperParameterTuningJobObjective
- HyperParameterTuningJobSearchEntity
- HyperParameterTuningJobStrategyConfig
- HyperParameterTuningJobSummary
- HyperParameterTuningJobWarmStartConfig
- HyperParameterTuningResourceConfig
- HyperbandStrategyConfig
- Image
- ImageConfig
- ImageVersion
- InferenceExecutionConfig
- InferenceExperimentDataStorageConfig
- InferenceExperimentSchedule
- InferenceExperimentSummary
- InferenceMetrics
- InferenceRecommendation
- InferenceRecommendationsJob
- InferenceRecommendationsJobStep
- InferenceSpecification
- InputConfig
- InstanceGroup
- InstanceMetadataServiceConfiguration
- IntegerParameterRange
- IntegerParameterRangeSpecification
- JupyterServerAppSettings
- KernelGatewayAppSettings
- KernelGatewayImageConfig
- KernelSpec
- LabelCounters
- LabelCountersForWorkteam
- LabelingJobAlgorithmsConfig
- LabelingJobDataAttributes
- LabelingJobDataSource
- LabelingJobForWorkteamSummary
- LabelingJobInputConfig
- LabelingJobOutput
- LabelingJobOutputConfig
- LabelingJobResourceConfig
- LabelingJobS3DataSource
- LabelingJobSnsDataSource
- LabelingJobStoppingConditions
- LabelingJobSummary
- LambdaStepMetadata
- LastUpdateStatus
- LineageGroupSummary
- MemberDefinition
- MetadataProperties
- MetricData
- MetricDatum
- MetricDefinition
- MetricsSource
- Model
- ModelArtifacts
- ModelBiasAppSpecification
- ModelBiasBaselineConfig
- ModelBiasJobInput
- ModelCard
- ModelCardExportArtifacts
- ModelCardExportJobSummary
- ModelCardExportOutputConfig
- ModelCardSecurityConfig
- ModelCardSummary
- ModelCardVersionSummary
- ModelClientConfig
- ModelConfiguration
- ModelDashboardEndpoint
- ModelDashboardIndicatorAction
- ModelDashboardModel
- ModelDashboardModelCard
- ModelDashboardMonitoringSchedule
- ModelDataQuality
- ModelDeployConfig
- ModelDeployResult
- ModelDigests
- ModelExplainabilityAppSpecification
- ModelExplainabilityBaselineConfig
- ModelExplainabilityJobInput
- ModelInfrastructureConfig
- ModelInput
- ModelLatencyThreshold
- ModelMetadataFilter
- ModelMetadataSearchExpression
- ModelMetadataSummary
- ModelMetrics
- ModelPackage
- ModelPackageContainerDefinition
- ModelPackageGroup
- ModelPackageGroupSummary
- ModelPackageStatusDetails
- ModelPackageStatusItem
- ModelPackageSummary
- ModelPackageValidationProfile
- ModelPackageValidationSpecification
- ModelQuality
- ModelQualityAppSpecification
- ModelQualityBaselineConfig
- ModelQualityJobInput
- ModelStepMetadata
- ModelSummary
- ModelVariantConfig
- ModelVariantConfigSummary
- MonitoringAlertActions
- MonitoringAlertHistorySummary
- MonitoringAlertSummary
- MonitoringAppSpecification
- MonitoringBaselineConfig
- MonitoringClusterConfig
- MonitoringConstraintsResource
- MonitoringCsvDatasetFormat
- MonitoringDatasetFormat
- MonitoringExecutionSummary
- MonitoringGroundTruthS3Input
- MonitoringInput
- MonitoringJobDefinition
- MonitoringJobDefinitionSummary
- MonitoringJsonDatasetFormat
- MonitoringNetworkConfig
- MonitoringOutput
- MonitoringOutputConfig
- MonitoringParquetDatasetFormat
- MonitoringResources
- MonitoringS3Output
- MonitoringSchedule
- MonitoringScheduleConfig
- MonitoringScheduleSummary
- MonitoringStatisticsResource
- MonitoringStoppingCondition
- MultiModelConfig
- NeoVpcConfig
- NestedFilters
- NetworkConfig
- NotebookInstanceLifecycleConfigSummary
- NotebookInstanceLifecycleHook
- NotebookInstanceSummary
- NotificationConfiguration
- ObjectiveStatusCounters
- OfflineStoreConfig
- OfflineStoreStatus
- OidcConfig
- OidcConfigForResponse
- OidcMemberDefinition
- OnlineStoreConfig
- OnlineStoreSecurityConfig
- OutputConfig
- OutputDataConfig
- OutputParameter
- ParallelismConfiguration
- Parameter
- ParameterRange
- ParameterRanges
- Parent
- ParentHyperParameterTuningJob
- PendingDeploymentSummary
- PendingProductionVariantSummary
- Phase
- Pipeline
- PipelineDefinitionS3Location
- PipelineExecution
- PipelineExecutionStep
- PipelineExecutionStepMetadata
- PipelineExecutionSummary
- PipelineExperimentConfig
- PipelineSummary
- ProcessingClusterConfig
- ProcessingFeatureStoreOutput
- ProcessingInput
- ProcessingJob
- ProcessingJobStepMetadata
- ProcessingJobSummary
- ProcessingOutput
- ProcessingOutputConfig
- ProcessingResources
- ProcessingS3Input
- ProcessingS3Output
- ProcessingStoppingCondition
- ProductionVariant
- ProductionVariantCoreDumpConfig
- ProductionVariantServerlessConfig
- ProductionVariantStatus
- ProductionVariantSummary
- ProfilerConfig
- ProfilerConfigForUpdate
- ProfilerRuleConfiguration
- ProfilerRuleEvaluationStatus
- Project
- ProjectSummary
- PropertyNameQuery
- PropertyNameSuggestion
- ProvisioningParameter
- PublicWorkforceTaskPrice
- QualityCheckStepMetadata
- QueryFilters
- RSessionAppSettings
- RStudioServerProAppSettings
- RStudioServerProDomainSettings
- RStudioServerProDomainSettingsForUpdate
- RealTimeInferenceConfig
- RecommendationJobCompiledOutputConfig
- RecommendationJobContainerConfig
- RecommendationJobInferenceBenchmark
- RecommendationJobInputConfig
- RecommendationJobOutputConfig
- RecommendationJobPayloadConfig
- RecommendationJobResourceLimit
- RecommendationJobStoppingConditions
- RecommendationJobVpcConfig
- RecommendationMetrics
- RedshiftDatasetDefinition
- RegisterModelStepMetadata
- RenderableTask
- RenderingError
- RepositoryAuthConfig
- ResolvedAttributes
- ResourceConfig
- ResourceConfigForUpdate
- ResourceLimits
- ResourceSpec
- RetentionPolicy
- RetryStrategy
- S3DataSource
- S3StorageConfig
- ScheduleConfig
- SearchExpression
- SearchRecord
- SecondaryStatusTransition
- ServiceCatalogProvisionedProductDetails
- ServiceCatalogProvisioningDetails
- ServiceCatalogProvisioningUpdateDetails
- ShadowModeConfig
- ShadowModelVariantConfig
- SharingSettings
- ShuffleConfig
- SourceAlgorithm
- SourceAlgorithmSpecification
- SourceIpConfig
- SpaceDetails
- SpaceSettings
- StoppingCondition
- StudioLifecycleConfigDetails
- SubscribedWorkteam
- SuggestionQuery
- Tag
- TargetPlatform
- TensorBoardAppSettings
- TensorBoardOutputConfig
- TimeSeriesForecastingSettings
- TrafficPattern
- TrafficRoutingConfig
- TrainingJob
- TrainingJobDefinition
- TrainingJobStatusCounters
- TrainingJobStepMetadata
- TrainingJobSummary
- TrainingSpecification
- TransformDataSource
- TransformInput
- TransformJob
- TransformJobDefinition
- TransformJobStepMetadata
- TransformJobSummary
- TransformOutput
- TransformResources
- TransformS3DataSource
- Trial
- TrialComponent
- TrialComponentArtifact
- TrialComponentMetricSummary
- TrialComponentParameterValue
- TrialComponentSimpleSummary
- TrialComponentSource
- TrialComponentSourceDetail
- TrialComponentStatus
- TrialComponentSummary
- TrialSource
- TrialSummary
- TuningJobCompletionCriteria
- TuningJobStepMetaData
- USD
- UiConfig
- UiTemplate
- UiTemplateInfo
- UserContext
- UserProfileDetails
- UserSettings
- VariantProperty
- Vertex
- VpcConfig
- WarmPoolStatus
- Workforce
- WorkforceVpcConfigRequest
- WorkforceVpcConfigResponse
- Workteam
Synopsis
- addAssociation_associationType :: Lens' AddAssociation (Maybe AssociationEdgeType)
- addAssociation_sourceArn :: Lens' AddAssociation Text
- addAssociation_destinationArn :: Lens' AddAssociation Text
- addAssociationResponse_destinationArn :: Lens' AddAssociationResponse (Maybe Text)
- addAssociationResponse_sourceArn :: Lens' AddAssociationResponse (Maybe Text)
- addAssociationResponse_httpStatus :: Lens' AddAssociationResponse Int
- addTags_resourceArn :: Lens' AddTags Text
- addTags_tags :: Lens' AddTags [Tag]
- addTagsResponse_tags :: Lens' AddTagsResponse (Maybe [Tag])
- addTagsResponse_httpStatus :: Lens' AddTagsResponse Int
- associateTrialComponent_trialComponentName :: Lens' AssociateTrialComponent Text
- associateTrialComponent_trialName :: Lens' AssociateTrialComponent Text
- associateTrialComponentResponse_trialArn :: Lens' AssociateTrialComponentResponse (Maybe Text)
- associateTrialComponentResponse_trialComponentArn :: Lens' AssociateTrialComponentResponse (Maybe Text)
- associateTrialComponentResponse_httpStatus :: Lens' AssociateTrialComponentResponse Int
- batchDescribeModelPackage_modelPackageArnList :: Lens' BatchDescribeModelPackage (NonEmpty Text)
- batchDescribeModelPackageResponse_batchDescribeModelPackageErrorMap :: Lens' BatchDescribeModelPackageResponse (Maybe (HashMap Text BatchDescribeModelPackageError))
- batchDescribeModelPackageResponse_modelPackageSummaries :: Lens' BatchDescribeModelPackageResponse (Maybe (HashMap Text BatchDescribeModelPackageSummary))
- batchDescribeModelPackageResponse_httpStatus :: Lens' BatchDescribeModelPackageResponse Int
- createAction_description :: Lens' CreateAction (Maybe Text)
- createAction_metadataProperties :: Lens' CreateAction (Maybe MetadataProperties)
- createAction_properties :: Lens' CreateAction (Maybe (HashMap Text Text))
- createAction_status :: Lens' CreateAction (Maybe ActionStatus)
- createAction_tags :: Lens' CreateAction (Maybe [Tag])
- createAction_actionName :: Lens' CreateAction Text
- createAction_source :: Lens' CreateAction ActionSource
- createAction_actionType :: Lens' CreateAction Text
- createActionResponse_actionArn :: Lens' CreateActionResponse (Maybe Text)
- createActionResponse_httpStatus :: Lens' CreateActionResponse Int
- createAlgorithm_algorithmDescription :: Lens' CreateAlgorithm (Maybe Text)
- createAlgorithm_certifyForMarketplace :: Lens' CreateAlgorithm (Maybe Bool)
- createAlgorithm_inferenceSpecification :: Lens' CreateAlgorithm (Maybe InferenceSpecification)
- createAlgorithm_tags :: Lens' CreateAlgorithm (Maybe [Tag])
- createAlgorithm_validationSpecification :: Lens' CreateAlgorithm (Maybe AlgorithmValidationSpecification)
- createAlgorithm_algorithmName :: Lens' CreateAlgorithm Text
- createAlgorithm_trainingSpecification :: Lens' CreateAlgorithm TrainingSpecification
- createAlgorithmResponse_httpStatus :: Lens' CreateAlgorithmResponse Int
- createAlgorithmResponse_algorithmArn :: Lens' CreateAlgorithmResponse Text
- createApp_resourceSpec :: Lens' CreateApp (Maybe ResourceSpec)
- createApp_spaceName :: Lens' CreateApp (Maybe Text)
- createApp_tags :: Lens' CreateApp (Maybe [Tag])
- createApp_userProfileName :: Lens' CreateApp (Maybe Text)
- createApp_domainId :: Lens' CreateApp Text
- createApp_appType :: Lens' CreateApp AppType
- createApp_appName :: Lens' CreateApp Text
- createAppResponse_appArn :: Lens' CreateAppResponse (Maybe Text)
- createAppResponse_httpStatus :: Lens' CreateAppResponse Int
- createAppImageConfig_kernelGatewayImageConfig :: Lens' CreateAppImageConfig (Maybe KernelGatewayImageConfig)
- createAppImageConfig_tags :: Lens' CreateAppImageConfig (Maybe [Tag])
- createAppImageConfig_appImageConfigName :: Lens' CreateAppImageConfig Text
- createAppImageConfigResponse_appImageConfigArn :: Lens' CreateAppImageConfigResponse (Maybe Text)
- createAppImageConfigResponse_httpStatus :: Lens' CreateAppImageConfigResponse Int
- createArtifact_artifactName :: Lens' CreateArtifact (Maybe Text)
- createArtifact_metadataProperties :: Lens' CreateArtifact (Maybe MetadataProperties)
- createArtifact_properties :: Lens' CreateArtifact (Maybe (HashMap Text Text))
- createArtifact_tags :: Lens' CreateArtifact (Maybe [Tag])
- createArtifact_source :: Lens' CreateArtifact ArtifactSource
- createArtifact_artifactType :: Lens' CreateArtifact Text
- createArtifactResponse_artifactArn :: Lens' CreateArtifactResponse (Maybe Text)
- createArtifactResponse_httpStatus :: Lens' CreateArtifactResponse Int
- createAutoMLJob_autoMLJobConfig :: Lens' CreateAutoMLJob (Maybe AutoMLJobConfig)
- createAutoMLJob_autoMLJobObjective :: Lens' CreateAutoMLJob (Maybe AutoMLJobObjective)
- createAutoMLJob_generateCandidateDefinitionsOnly :: Lens' CreateAutoMLJob (Maybe Bool)
- createAutoMLJob_modelDeployConfig :: Lens' CreateAutoMLJob (Maybe ModelDeployConfig)
- createAutoMLJob_problemType :: Lens' CreateAutoMLJob (Maybe ProblemType)
- createAutoMLJob_tags :: Lens' CreateAutoMLJob (Maybe [Tag])
- createAutoMLJob_autoMLJobName :: Lens' CreateAutoMLJob Text
- createAutoMLJob_inputDataConfig :: Lens' CreateAutoMLJob (NonEmpty AutoMLChannel)
- createAutoMLJob_outputDataConfig :: Lens' CreateAutoMLJob AutoMLOutputDataConfig
- createAutoMLJob_roleArn :: Lens' CreateAutoMLJob Text
- createAutoMLJobResponse_httpStatus :: Lens' CreateAutoMLJobResponse Int
- createAutoMLJobResponse_autoMLJobArn :: Lens' CreateAutoMLJobResponse Text
- createCodeRepository_tags :: Lens' CreateCodeRepository (Maybe [Tag])
- createCodeRepository_codeRepositoryName :: Lens' CreateCodeRepository Text
- createCodeRepository_gitConfig :: Lens' CreateCodeRepository GitConfig
- createCodeRepositoryResponse_httpStatus :: Lens' CreateCodeRepositoryResponse Int
- createCodeRepositoryResponse_codeRepositoryArn :: Lens' CreateCodeRepositoryResponse Text
- createCompilationJob_inputConfig :: Lens' CreateCompilationJob (Maybe InputConfig)
- createCompilationJob_modelPackageVersionArn :: Lens' CreateCompilationJob (Maybe Text)
- createCompilationJob_tags :: Lens' CreateCompilationJob (Maybe [Tag])
- createCompilationJob_vpcConfig :: Lens' CreateCompilationJob (Maybe NeoVpcConfig)
- createCompilationJob_compilationJobName :: Lens' CreateCompilationJob Text
- createCompilationJob_roleArn :: Lens' CreateCompilationJob Text
- createCompilationJob_outputConfig :: Lens' CreateCompilationJob OutputConfig
- createCompilationJob_stoppingCondition :: Lens' CreateCompilationJob StoppingCondition
- createCompilationJobResponse_httpStatus :: Lens' CreateCompilationJobResponse Int
- createCompilationJobResponse_compilationJobArn :: Lens' CreateCompilationJobResponse Text
- createContext_description :: Lens' CreateContext (Maybe Text)
- createContext_properties :: Lens' CreateContext (Maybe (HashMap Text Text))
- createContext_tags :: Lens' CreateContext (Maybe [Tag])
- createContext_contextName :: Lens' CreateContext Text
- createContext_source :: Lens' CreateContext ContextSource
- createContext_contextType :: Lens' CreateContext Text
- createContextResponse_contextArn :: Lens' CreateContextResponse (Maybe Text)
- createContextResponse_httpStatus :: Lens' CreateContextResponse Int
- createDataQualityJobDefinition_dataQualityBaselineConfig :: Lens' CreateDataQualityJobDefinition (Maybe DataQualityBaselineConfig)
- createDataQualityJobDefinition_networkConfig :: Lens' CreateDataQualityJobDefinition (Maybe MonitoringNetworkConfig)
- createDataQualityJobDefinition_stoppingCondition :: Lens' CreateDataQualityJobDefinition (Maybe MonitoringStoppingCondition)
- createDataQualityJobDefinition_tags :: Lens' CreateDataQualityJobDefinition (Maybe [Tag])
- createDataQualityJobDefinition_jobDefinitionName :: Lens' CreateDataQualityJobDefinition Text
- createDataQualityJobDefinition_dataQualityAppSpecification :: Lens' CreateDataQualityJobDefinition DataQualityAppSpecification
- createDataQualityJobDefinition_dataQualityJobInput :: Lens' CreateDataQualityJobDefinition DataQualityJobInput
- createDataQualityJobDefinition_dataQualityJobOutputConfig :: Lens' CreateDataQualityJobDefinition MonitoringOutputConfig
- createDataQualityJobDefinition_jobResources :: Lens' CreateDataQualityJobDefinition MonitoringResources
- createDataQualityJobDefinition_roleArn :: Lens' CreateDataQualityJobDefinition Text
- createDataQualityJobDefinitionResponse_httpStatus :: Lens' CreateDataQualityJobDefinitionResponse Int
- createDataQualityJobDefinitionResponse_jobDefinitionArn :: Lens' CreateDataQualityJobDefinitionResponse Text
- createDeviceFleet_description :: Lens' CreateDeviceFleet (Maybe Text)
- createDeviceFleet_enableIotRoleAlias :: Lens' CreateDeviceFleet (Maybe Bool)
- createDeviceFleet_roleArn :: Lens' CreateDeviceFleet (Maybe Text)
- createDeviceFleet_tags :: Lens' CreateDeviceFleet (Maybe [Tag])
- createDeviceFleet_deviceFleetName :: Lens' CreateDeviceFleet Text
- createDeviceFleet_outputConfig :: Lens' CreateDeviceFleet EdgeOutputConfig
- createDomain_appNetworkAccessType :: Lens' CreateDomain (Maybe AppNetworkAccessType)
- createDomain_appSecurityGroupManagement :: Lens' CreateDomain (Maybe AppSecurityGroupManagement)
- createDomain_defaultSpaceSettings :: Lens' CreateDomain (Maybe DefaultSpaceSettings)
- createDomain_domainSettings :: Lens' CreateDomain (Maybe DomainSettings)
- createDomain_homeEfsFileSystemKmsKeyId :: Lens' CreateDomain (Maybe Text)
- createDomain_kmsKeyId :: Lens' CreateDomain (Maybe Text)
- createDomain_tags :: Lens' CreateDomain (Maybe [Tag])
- createDomain_domainName :: Lens' CreateDomain Text
- createDomain_authMode :: Lens' CreateDomain AuthMode
- createDomain_defaultUserSettings :: Lens' CreateDomain UserSettings
- createDomain_subnetIds :: Lens' CreateDomain (NonEmpty Text)
- createDomain_vpcId :: Lens' CreateDomain Text
- createDomainResponse_domainArn :: Lens' CreateDomainResponse (Maybe Text)
- createDomainResponse_url :: Lens' CreateDomainResponse (Maybe Text)
- createDomainResponse_httpStatus :: Lens' CreateDomainResponse Int
- createEdgeDeploymentPlan_stages :: Lens' CreateEdgeDeploymentPlan (Maybe [DeploymentStage])
- createEdgeDeploymentPlan_tags :: Lens' CreateEdgeDeploymentPlan (Maybe [Tag])
- createEdgeDeploymentPlan_edgeDeploymentPlanName :: Lens' CreateEdgeDeploymentPlan Text
- createEdgeDeploymentPlan_modelConfigs :: Lens' CreateEdgeDeploymentPlan [EdgeDeploymentModelConfig]
- createEdgeDeploymentPlan_deviceFleetName :: Lens' CreateEdgeDeploymentPlan Text
- createEdgeDeploymentPlanResponse_httpStatus :: Lens' CreateEdgeDeploymentPlanResponse Int
- createEdgeDeploymentPlanResponse_edgeDeploymentPlanArn :: Lens' CreateEdgeDeploymentPlanResponse Text
- createEdgeDeploymentStage_edgeDeploymentPlanName :: Lens' CreateEdgeDeploymentStage Text
- createEdgeDeploymentStage_stages :: Lens' CreateEdgeDeploymentStage [DeploymentStage]
- createEdgePackagingJob_resourceKey :: Lens' CreateEdgePackagingJob (Maybe Text)
- createEdgePackagingJob_tags :: Lens' CreateEdgePackagingJob (Maybe [Tag])
- createEdgePackagingJob_edgePackagingJobName :: Lens' CreateEdgePackagingJob Text
- createEdgePackagingJob_compilationJobName :: Lens' CreateEdgePackagingJob Text
- createEdgePackagingJob_modelName :: Lens' CreateEdgePackagingJob Text
- createEdgePackagingJob_modelVersion :: Lens' CreateEdgePackagingJob Text
- createEdgePackagingJob_roleArn :: Lens' CreateEdgePackagingJob Text
- createEdgePackagingJob_outputConfig :: Lens' CreateEdgePackagingJob EdgeOutputConfig
- createEndpoint_deploymentConfig :: Lens' CreateEndpoint (Maybe DeploymentConfig)
- createEndpoint_tags :: Lens' CreateEndpoint (Maybe [Tag])
- createEndpoint_endpointName :: Lens' CreateEndpoint Text
- createEndpoint_endpointConfigName :: Lens' CreateEndpoint Text
- createEndpointResponse_httpStatus :: Lens' CreateEndpointResponse Int
- createEndpointResponse_endpointArn :: Lens' CreateEndpointResponse Text
- createEndpointConfig_asyncInferenceConfig :: Lens' CreateEndpointConfig (Maybe AsyncInferenceConfig)
- createEndpointConfig_dataCaptureConfig :: Lens' CreateEndpointConfig (Maybe DataCaptureConfig)
- createEndpointConfig_explainerConfig :: Lens' CreateEndpointConfig (Maybe ExplainerConfig)
- createEndpointConfig_kmsKeyId :: Lens' CreateEndpointConfig (Maybe Text)
- createEndpointConfig_shadowProductionVariants :: Lens' CreateEndpointConfig (Maybe (NonEmpty ProductionVariant))
- createEndpointConfig_tags :: Lens' CreateEndpointConfig (Maybe [Tag])
- createEndpointConfig_endpointConfigName :: Lens' CreateEndpointConfig Text
- createEndpointConfig_productionVariants :: Lens' CreateEndpointConfig (NonEmpty ProductionVariant)
- createEndpointConfigResponse_httpStatus :: Lens' CreateEndpointConfigResponse Int
- createEndpointConfigResponse_endpointConfigArn :: Lens' CreateEndpointConfigResponse Text
- createExperiment_description :: Lens' CreateExperiment (Maybe Text)
- createExperiment_displayName :: Lens' CreateExperiment (Maybe Text)
- createExperiment_tags :: Lens' CreateExperiment (Maybe [Tag])
- createExperiment_experimentName :: Lens' CreateExperiment Text
- createExperimentResponse_experimentArn :: Lens' CreateExperimentResponse (Maybe Text)
- createExperimentResponse_httpStatus :: Lens' CreateExperimentResponse Int
- createFeatureGroup_description :: Lens' CreateFeatureGroup (Maybe Text)
- createFeatureGroup_offlineStoreConfig :: Lens' CreateFeatureGroup (Maybe OfflineStoreConfig)
- createFeatureGroup_onlineStoreConfig :: Lens' CreateFeatureGroup (Maybe OnlineStoreConfig)
- createFeatureGroup_roleArn :: Lens' CreateFeatureGroup (Maybe Text)
- createFeatureGroup_tags :: Lens' CreateFeatureGroup (Maybe [Tag])
- createFeatureGroup_featureGroupName :: Lens' CreateFeatureGroup Text
- createFeatureGroup_recordIdentifierFeatureName :: Lens' CreateFeatureGroup Text
- createFeatureGroup_eventTimeFeatureName :: Lens' CreateFeatureGroup Text
- createFeatureGroup_featureDefinitions :: Lens' CreateFeatureGroup (NonEmpty FeatureDefinition)
- createFeatureGroupResponse_httpStatus :: Lens' CreateFeatureGroupResponse Int
- createFeatureGroupResponse_featureGroupArn :: Lens' CreateFeatureGroupResponse Text
- createFlowDefinition_humanLoopActivationConfig :: Lens' CreateFlowDefinition (Maybe HumanLoopActivationConfig)
- createFlowDefinition_humanLoopRequestSource :: Lens' CreateFlowDefinition (Maybe HumanLoopRequestSource)
- createFlowDefinition_tags :: Lens' CreateFlowDefinition (Maybe [Tag])
- createFlowDefinition_flowDefinitionName :: Lens' CreateFlowDefinition Text
- createFlowDefinition_humanLoopConfig :: Lens' CreateFlowDefinition HumanLoopConfig
- createFlowDefinition_outputConfig :: Lens' CreateFlowDefinition FlowDefinitionOutputConfig
- createFlowDefinition_roleArn :: Lens' CreateFlowDefinition Text
- createFlowDefinitionResponse_httpStatus :: Lens' CreateFlowDefinitionResponse Int
- createFlowDefinitionResponse_flowDefinitionArn :: Lens' CreateFlowDefinitionResponse Text
- createHub_hubDisplayName :: Lens' CreateHub (Maybe Text)
- createHub_hubSearchKeywords :: Lens' CreateHub (Maybe [Text])
- createHub_s3StorageConfig :: Lens' CreateHub (Maybe HubS3StorageConfig)
- createHub_tags :: Lens' CreateHub (Maybe [Tag])
- createHub_hubName :: Lens' CreateHub Text
- createHub_hubDescription :: Lens' CreateHub Text
- createHubResponse_httpStatus :: Lens' CreateHubResponse Int
- createHubResponse_hubArn :: Lens' CreateHubResponse Text
- createHumanTaskUi_tags :: Lens' CreateHumanTaskUi (Maybe [Tag])
- createHumanTaskUi_humanTaskUiName :: Lens' CreateHumanTaskUi Text
- createHumanTaskUi_uiTemplate :: Lens' CreateHumanTaskUi UiTemplate
- createHumanTaskUiResponse_httpStatus :: Lens' CreateHumanTaskUiResponse Int
- createHumanTaskUiResponse_humanTaskUiArn :: Lens' CreateHumanTaskUiResponse Text
- createHyperParameterTuningJob_tags :: Lens' CreateHyperParameterTuningJob (Maybe [Tag])
- createHyperParameterTuningJob_trainingJobDefinition :: Lens' CreateHyperParameterTuningJob (Maybe HyperParameterTrainingJobDefinition)
- createHyperParameterTuningJob_trainingJobDefinitions :: Lens' CreateHyperParameterTuningJob (Maybe (NonEmpty HyperParameterTrainingJobDefinition))
- createHyperParameterTuningJob_warmStartConfig :: Lens' CreateHyperParameterTuningJob (Maybe HyperParameterTuningJobWarmStartConfig)
- createHyperParameterTuningJob_hyperParameterTuningJobName :: Lens' CreateHyperParameterTuningJob Text
- createHyperParameterTuningJob_hyperParameterTuningJobConfig :: Lens' CreateHyperParameterTuningJob HyperParameterTuningJobConfig
- createHyperParameterTuningJobResponse_httpStatus :: Lens' CreateHyperParameterTuningJobResponse Int
- createHyperParameterTuningJobResponse_hyperParameterTuningJobArn :: Lens' CreateHyperParameterTuningJobResponse Text
- createImage_description :: Lens' CreateImage (Maybe Text)
- createImage_displayName :: Lens' CreateImage (Maybe Text)
- createImage_tags :: Lens' CreateImage (Maybe [Tag])
- createImage_imageName :: Lens' CreateImage Text
- createImage_roleArn :: Lens' CreateImage Text
- createImageResponse_imageArn :: Lens' CreateImageResponse (Maybe Text)
- createImageResponse_httpStatus :: Lens' CreateImageResponse Int
- createImageVersion_aliases :: Lens' CreateImageVersion (Maybe [Text])
- createImageVersion_horovod :: Lens' CreateImageVersion (Maybe Bool)
- createImageVersion_jobType :: Lens' CreateImageVersion (Maybe JobType)
- createImageVersion_mLFramework :: Lens' CreateImageVersion (Maybe Text)
- createImageVersion_processor :: Lens' CreateImageVersion (Maybe Processor)
- createImageVersion_programmingLang :: Lens' CreateImageVersion (Maybe Text)
- createImageVersion_releaseNotes :: Lens' CreateImageVersion (Maybe Text)
- createImageVersion_vendorGuidance :: Lens' CreateImageVersion (Maybe VendorGuidance)
- createImageVersion_baseImage :: Lens' CreateImageVersion Text
- createImageVersion_clientToken :: Lens' CreateImageVersion Text
- createImageVersion_imageName :: Lens' CreateImageVersion Text
- createImageVersionResponse_imageVersionArn :: Lens' CreateImageVersionResponse (Maybe Text)
- createImageVersionResponse_httpStatus :: Lens' CreateImageVersionResponse Int
- createInferenceExperiment_dataStorageConfig :: Lens' CreateInferenceExperiment (Maybe InferenceExperimentDataStorageConfig)
- createInferenceExperiment_description :: Lens' CreateInferenceExperiment (Maybe Text)
- createInferenceExperiment_kmsKey :: Lens' CreateInferenceExperiment (Maybe Text)
- createInferenceExperiment_schedule :: Lens' CreateInferenceExperiment (Maybe InferenceExperimentSchedule)
- createInferenceExperiment_tags :: Lens' CreateInferenceExperiment (Maybe [Tag])
- createInferenceExperiment_name :: Lens' CreateInferenceExperiment Text
- createInferenceExperiment_type :: Lens' CreateInferenceExperiment InferenceExperimentType
- createInferenceExperiment_roleArn :: Lens' CreateInferenceExperiment Text
- createInferenceExperiment_endpointName :: Lens' CreateInferenceExperiment Text
- createInferenceExperiment_modelVariants :: Lens' CreateInferenceExperiment (NonEmpty ModelVariantConfig)
- createInferenceExperiment_shadowModeConfig :: Lens' CreateInferenceExperiment ShadowModeConfig
- createInferenceExperimentResponse_httpStatus :: Lens' CreateInferenceExperimentResponse Int
- createInferenceExperimentResponse_inferenceExperimentArn :: Lens' CreateInferenceExperimentResponse Text
- createInferenceRecommendationsJob_jobDescription :: Lens' CreateInferenceRecommendationsJob (Maybe Text)
- createInferenceRecommendationsJob_outputConfig :: Lens' CreateInferenceRecommendationsJob (Maybe RecommendationJobOutputConfig)
- createInferenceRecommendationsJob_stoppingConditions :: Lens' CreateInferenceRecommendationsJob (Maybe RecommendationJobStoppingConditions)
- createInferenceRecommendationsJob_tags :: Lens' CreateInferenceRecommendationsJob (Maybe [Tag])
- createInferenceRecommendationsJob_jobName :: Lens' CreateInferenceRecommendationsJob Text
- createInferenceRecommendationsJob_jobType :: Lens' CreateInferenceRecommendationsJob RecommendationJobType
- createInferenceRecommendationsJob_roleArn :: Lens' CreateInferenceRecommendationsJob Text
- createInferenceRecommendationsJob_inputConfig :: Lens' CreateInferenceRecommendationsJob RecommendationJobInputConfig
- createInferenceRecommendationsJobResponse_httpStatus :: Lens' CreateInferenceRecommendationsJobResponse Int
- createInferenceRecommendationsJobResponse_jobArn :: Lens' CreateInferenceRecommendationsJobResponse Text
- createLabelingJob_labelCategoryConfigS3Uri :: Lens' CreateLabelingJob (Maybe Text)
- createLabelingJob_labelingJobAlgorithmsConfig :: Lens' CreateLabelingJob (Maybe LabelingJobAlgorithmsConfig)
- createLabelingJob_stoppingConditions :: Lens' CreateLabelingJob (Maybe LabelingJobStoppingConditions)
- createLabelingJob_tags :: Lens' CreateLabelingJob (Maybe [Tag])
- createLabelingJob_labelingJobName :: Lens' CreateLabelingJob Text
- createLabelingJob_labelAttributeName :: Lens' CreateLabelingJob Text
- createLabelingJob_inputConfig :: Lens' CreateLabelingJob LabelingJobInputConfig
- createLabelingJob_outputConfig :: Lens' CreateLabelingJob LabelingJobOutputConfig
- createLabelingJob_roleArn :: Lens' CreateLabelingJob Text
- createLabelingJob_humanTaskConfig :: Lens' CreateLabelingJob HumanTaskConfig
- createLabelingJobResponse_httpStatus :: Lens' CreateLabelingJobResponse Int
- createLabelingJobResponse_labelingJobArn :: Lens' CreateLabelingJobResponse Text
- createModel_containers :: Lens' CreateModel (Maybe [ContainerDefinition])
- createModel_enableNetworkIsolation :: Lens' CreateModel (Maybe Bool)
- createModel_inferenceExecutionConfig :: Lens' CreateModel (Maybe InferenceExecutionConfig)
- createModel_primaryContainer :: Lens' CreateModel (Maybe ContainerDefinition)
- createModel_tags :: Lens' CreateModel (Maybe [Tag])
- createModel_vpcConfig :: Lens' CreateModel (Maybe VpcConfig)
- createModel_modelName :: Lens' CreateModel Text
- createModel_executionRoleArn :: Lens' CreateModel Text
- createModelResponse_httpStatus :: Lens' CreateModelResponse Int
- createModelResponse_modelArn :: Lens' CreateModelResponse Text
- createModelBiasJobDefinition_modelBiasBaselineConfig :: Lens' CreateModelBiasJobDefinition (Maybe ModelBiasBaselineConfig)
- createModelBiasJobDefinition_networkConfig :: Lens' CreateModelBiasJobDefinition (Maybe MonitoringNetworkConfig)
- createModelBiasJobDefinition_stoppingCondition :: Lens' CreateModelBiasJobDefinition (Maybe MonitoringStoppingCondition)
- createModelBiasJobDefinition_tags :: Lens' CreateModelBiasJobDefinition (Maybe [Tag])
- createModelBiasJobDefinition_jobDefinitionName :: Lens' CreateModelBiasJobDefinition Text
- createModelBiasJobDefinition_modelBiasAppSpecification :: Lens' CreateModelBiasJobDefinition ModelBiasAppSpecification
- createModelBiasJobDefinition_modelBiasJobInput :: Lens' CreateModelBiasJobDefinition ModelBiasJobInput
- createModelBiasJobDefinition_modelBiasJobOutputConfig :: Lens' CreateModelBiasJobDefinition MonitoringOutputConfig
- createModelBiasJobDefinition_jobResources :: Lens' CreateModelBiasJobDefinition MonitoringResources
- createModelBiasJobDefinition_roleArn :: Lens' CreateModelBiasJobDefinition Text
- createModelBiasJobDefinitionResponse_httpStatus :: Lens' CreateModelBiasJobDefinitionResponse Int
- createModelBiasJobDefinitionResponse_jobDefinitionArn :: Lens' CreateModelBiasJobDefinitionResponse Text
- createModelCard_securityConfig :: Lens' CreateModelCard (Maybe ModelCardSecurityConfig)
- createModelCard_tags :: Lens' CreateModelCard (Maybe [Tag])
- createModelCard_modelCardName :: Lens' CreateModelCard Text
- createModelCard_content :: Lens' CreateModelCard Text
- createModelCard_modelCardStatus :: Lens' CreateModelCard ModelCardStatus
- createModelCardResponse_httpStatus :: Lens' CreateModelCardResponse Int
- createModelCardResponse_modelCardArn :: Lens' CreateModelCardResponse Text
- createModelCardExportJob_modelCardVersion :: Lens' CreateModelCardExportJob (Maybe Int)
- createModelCardExportJob_modelCardName :: Lens' CreateModelCardExportJob Text
- createModelCardExportJob_modelCardExportJobName :: Lens' CreateModelCardExportJob Text
- createModelCardExportJob_outputConfig :: Lens' CreateModelCardExportJob ModelCardExportOutputConfig
- createModelCardExportJobResponse_httpStatus :: Lens' CreateModelCardExportJobResponse Int
- createModelCardExportJobResponse_modelCardExportJobArn :: Lens' CreateModelCardExportJobResponse Text
- createModelExplainabilityJobDefinition_modelExplainabilityBaselineConfig :: Lens' CreateModelExplainabilityJobDefinition (Maybe ModelExplainabilityBaselineConfig)
- createModelExplainabilityJobDefinition_networkConfig :: Lens' CreateModelExplainabilityJobDefinition (Maybe MonitoringNetworkConfig)
- createModelExplainabilityJobDefinition_stoppingCondition :: Lens' CreateModelExplainabilityJobDefinition (Maybe MonitoringStoppingCondition)
- createModelExplainabilityJobDefinition_tags :: Lens' CreateModelExplainabilityJobDefinition (Maybe [Tag])
- createModelExplainabilityJobDefinition_jobDefinitionName :: Lens' CreateModelExplainabilityJobDefinition Text
- createModelExplainabilityJobDefinition_modelExplainabilityAppSpecification :: Lens' CreateModelExplainabilityJobDefinition ModelExplainabilityAppSpecification
- createModelExplainabilityJobDefinition_modelExplainabilityJobInput :: Lens' CreateModelExplainabilityJobDefinition ModelExplainabilityJobInput
- createModelExplainabilityJobDefinition_modelExplainabilityJobOutputConfig :: Lens' CreateModelExplainabilityJobDefinition MonitoringOutputConfig
- createModelExplainabilityJobDefinition_jobResources :: Lens' CreateModelExplainabilityJobDefinition MonitoringResources
- createModelExplainabilityJobDefinition_roleArn :: Lens' CreateModelExplainabilityJobDefinition Text
- createModelExplainabilityJobDefinitionResponse_httpStatus :: Lens' CreateModelExplainabilityJobDefinitionResponse Int
- createModelExplainabilityJobDefinitionResponse_jobDefinitionArn :: Lens' CreateModelExplainabilityJobDefinitionResponse Text
- createModelPackage_additionalInferenceSpecifications :: Lens' CreateModelPackage (Maybe (NonEmpty AdditionalInferenceSpecificationDefinition))
- createModelPackage_certifyForMarketplace :: Lens' CreateModelPackage (Maybe Bool)
- createModelPackage_clientToken :: Lens' CreateModelPackage (Maybe Text)
- createModelPackage_customerMetadataProperties :: Lens' CreateModelPackage (Maybe (HashMap Text Text))
- createModelPackage_domain :: Lens' CreateModelPackage (Maybe Text)
- createModelPackage_driftCheckBaselines :: Lens' CreateModelPackage (Maybe DriftCheckBaselines)
- createModelPackage_inferenceSpecification :: Lens' CreateModelPackage (Maybe InferenceSpecification)
- createModelPackage_metadataProperties :: Lens' CreateModelPackage (Maybe MetadataProperties)
- createModelPackage_modelApprovalStatus :: Lens' CreateModelPackage (Maybe ModelApprovalStatus)
- createModelPackage_modelMetrics :: Lens' CreateModelPackage (Maybe ModelMetrics)
- createModelPackage_modelPackageDescription :: Lens' CreateModelPackage (Maybe Text)
- createModelPackage_modelPackageGroupName :: Lens' CreateModelPackage (Maybe Text)
- createModelPackage_modelPackageName :: Lens' CreateModelPackage (Maybe Text)
- createModelPackage_samplePayloadUrl :: Lens' CreateModelPackage (Maybe Text)
- createModelPackage_sourceAlgorithmSpecification :: Lens' CreateModelPackage (Maybe SourceAlgorithmSpecification)
- createModelPackage_tags :: Lens' CreateModelPackage (Maybe [Tag])
- createModelPackage_task :: Lens' CreateModelPackage (Maybe Text)
- createModelPackage_validationSpecification :: Lens' CreateModelPackage (Maybe ModelPackageValidationSpecification)
- createModelPackageResponse_httpStatus :: Lens' CreateModelPackageResponse Int
- createModelPackageResponse_modelPackageArn :: Lens' CreateModelPackageResponse Text
- createModelPackageGroup_modelPackageGroupDescription :: Lens' CreateModelPackageGroup (Maybe Text)
- createModelPackageGroup_tags :: Lens' CreateModelPackageGroup (Maybe [Tag])
- createModelPackageGroup_modelPackageGroupName :: Lens' CreateModelPackageGroup Text
- createModelPackageGroupResponse_httpStatus :: Lens' CreateModelPackageGroupResponse Int
- createModelPackageGroupResponse_modelPackageGroupArn :: Lens' CreateModelPackageGroupResponse Text
- createModelQualityJobDefinition_modelQualityBaselineConfig :: Lens' CreateModelQualityJobDefinition (Maybe ModelQualityBaselineConfig)
- createModelQualityJobDefinition_networkConfig :: Lens' CreateModelQualityJobDefinition (Maybe MonitoringNetworkConfig)
- createModelQualityJobDefinition_stoppingCondition :: Lens' CreateModelQualityJobDefinition (Maybe MonitoringStoppingCondition)
- createModelQualityJobDefinition_tags :: Lens' CreateModelQualityJobDefinition (Maybe [Tag])
- createModelQualityJobDefinition_jobDefinitionName :: Lens' CreateModelQualityJobDefinition Text
- createModelQualityJobDefinition_modelQualityAppSpecification :: Lens' CreateModelQualityJobDefinition ModelQualityAppSpecification
- createModelQualityJobDefinition_modelQualityJobInput :: Lens' CreateModelQualityJobDefinition ModelQualityJobInput
- createModelQualityJobDefinition_modelQualityJobOutputConfig :: Lens' CreateModelQualityJobDefinition MonitoringOutputConfig
- createModelQualityJobDefinition_jobResources :: Lens' CreateModelQualityJobDefinition MonitoringResources
- createModelQualityJobDefinition_roleArn :: Lens' CreateModelQualityJobDefinition Text
- createModelQualityJobDefinitionResponse_httpStatus :: Lens' CreateModelQualityJobDefinitionResponse Int
- createModelQualityJobDefinitionResponse_jobDefinitionArn :: Lens' CreateModelQualityJobDefinitionResponse Text
- createMonitoringSchedule_tags :: Lens' CreateMonitoringSchedule (Maybe [Tag])
- createMonitoringSchedule_monitoringScheduleName :: Lens' CreateMonitoringSchedule Text
- createMonitoringSchedule_monitoringScheduleConfig :: Lens' CreateMonitoringSchedule MonitoringScheduleConfig
- createMonitoringScheduleResponse_httpStatus :: Lens' CreateMonitoringScheduleResponse Int
- createMonitoringScheduleResponse_monitoringScheduleArn :: Lens' CreateMonitoringScheduleResponse Text
- createNotebookInstance_acceleratorTypes :: Lens' CreateNotebookInstance (Maybe [NotebookInstanceAcceleratorType])
- createNotebookInstance_additionalCodeRepositories :: Lens' CreateNotebookInstance (Maybe [Text])
- createNotebookInstance_defaultCodeRepository :: Lens' CreateNotebookInstance (Maybe Text)
- createNotebookInstance_directInternetAccess :: Lens' CreateNotebookInstance (Maybe DirectInternetAccess)
- createNotebookInstance_instanceMetadataServiceConfiguration :: Lens' CreateNotebookInstance (Maybe InstanceMetadataServiceConfiguration)
- createNotebookInstance_kmsKeyId :: Lens' CreateNotebookInstance (Maybe Text)
- createNotebookInstance_lifecycleConfigName :: Lens' CreateNotebookInstance (Maybe Text)
- createNotebookInstance_platformIdentifier :: Lens' CreateNotebookInstance (Maybe Text)
- createNotebookInstance_rootAccess :: Lens' CreateNotebookInstance (Maybe RootAccess)
- createNotebookInstance_securityGroupIds :: Lens' CreateNotebookInstance (Maybe [Text])
- createNotebookInstance_subnetId :: Lens' CreateNotebookInstance (Maybe Text)
- createNotebookInstance_tags :: Lens' CreateNotebookInstance (Maybe [Tag])
- createNotebookInstance_volumeSizeInGB :: Lens' CreateNotebookInstance (Maybe Natural)
- createNotebookInstance_notebookInstanceName :: Lens' CreateNotebookInstance Text
- createNotebookInstance_instanceType :: Lens' CreateNotebookInstance InstanceType
- createNotebookInstance_roleArn :: Lens' CreateNotebookInstance Text
- createNotebookInstanceResponse_notebookInstanceArn :: Lens' CreateNotebookInstanceResponse (Maybe Text)
- createNotebookInstanceResponse_httpStatus :: Lens' CreateNotebookInstanceResponse Int
- createNotebookInstanceLifecycleConfig_onCreate :: Lens' CreateNotebookInstanceLifecycleConfig (Maybe [NotebookInstanceLifecycleHook])
- createNotebookInstanceLifecycleConfig_onStart :: Lens' CreateNotebookInstanceLifecycleConfig (Maybe [NotebookInstanceLifecycleHook])
- createNotebookInstanceLifecycleConfig_notebookInstanceLifecycleConfigName :: Lens' CreateNotebookInstanceLifecycleConfig Text
- createNotebookInstanceLifecycleConfigResponse_notebookInstanceLifecycleConfigArn :: Lens' CreateNotebookInstanceLifecycleConfigResponse (Maybe Text)
- createNotebookInstanceLifecycleConfigResponse_httpStatus :: Lens' CreateNotebookInstanceLifecycleConfigResponse Int
- createPipeline_parallelismConfiguration :: Lens' CreatePipeline (Maybe ParallelismConfiguration)
- createPipeline_pipelineDefinition :: Lens' CreatePipeline (Maybe Text)
- createPipeline_pipelineDefinitionS3Location :: Lens' CreatePipeline (Maybe PipelineDefinitionS3Location)
- createPipeline_pipelineDescription :: Lens' CreatePipeline (Maybe Text)
- createPipeline_pipelineDisplayName :: Lens' CreatePipeline (Maybe Text)
- createPipeline_tags :: Lens' CreatePipeline (Maybe [Tag])
- createPipeline_pipelineName :: Lens' CreatePipeline Text
- createPipeline_clientRequestToken :: Lens' CreatePipeline Text
- createPipeline_roleArn :: Lens' CreatePipeline Text
- createPipelineResponse_pipelineArn :: Lens' CreatePipelineResponse (Maybe Text)
- createPipelineResponse_httpStatus :: Lens' CreatePipelineResponse Int
- createPresignedDomainUrl_expiresInSeconds :: Lens' CreatePresignedDomainUrl (Maybe Natural)
- createPresignedDomainUrl_sessionExpirationDurationInSeconds :: Lens' CreatePresignedDomainUrl (Maybe Natural)
- createPresignedDomainUrl_spaceName :: Lens' CreatePresignedDomainUrl (Maybe Text)
- createPresignedDomainUrl_domainId :: Lens' CreatePresignedDomainUrl Text
- createPresignedDomainUrl_userProfileName :: Lens' CreatePresignedDomainUrl Text
- createPresignedDomainUrlResponse_authorizedUrl :: Lens' CreatePresignedDomainUrlResponse (Maybe Text)
- createPresignedDomainUrlResponse_httpStatus :: Lens' CreatePresignedDomainUrlResponse Int
- createPresignedNotebookInstanceUrl_sessionExpirationDurationInSeconds :: Lens' CreatePresignedNotebookInstanceUrl (Maybe Natural)
- createPresignedNotebookInstanceUrl_notebookInstanceName :: Lens' CreatePresignedNotebookInstanceUrl Text
- createPresignedNotebookInstanceUrlResponse_authorizedUrl :: Lens' CreatePresignedNotebookInstanceUrlResponse (Maybe Text)
- createPresignedNotebookInstanceUrlResponse_httpStatus :: Lens' CreatePresignedNotebookInstanceUrlResponse Int
- createProcessingJob_environment :: Lens' CreateProcessingJob (Maybe (HashMap Text Text))
- createProcessingJob_experimentConfig :: Lens' CreateProcessingJob (Maybe ExperimentConfig)
- createProcessingJob_networkConfig :: Lens' CreateProcessingJob (Maybe NetworkConfig)
- createProcessingJob_processingInputs :: Lens' CreateProcessingJob (Maybe [ProcessingInput])
- createProcessingJob_processingOutputConfig :: Lens' CreateProcessingJob (Maybe ProcessingOutputConfig)
- createProcessingJob_stoppingCondition :: Lens' CreateProcessingJob (Maybe ProcessingStoppingCondition)
- createProcessingJob_tags :: Lens' CreateProcessingJob (Maybe [Tag])
- createProcessingJob_processingJobName :: Lens' CreateProcessingJob Text
- createProcessingJob_processingResources :: Lens' CreateProcessingJob ProcessingResources
- createProcessingJob_appSpecification :: Lens' CreateProcessingJob AppSpecification
- createProcessingJob_roleArn :: Lens' CreateProcessingJob Text
- createProcessingJobResponse_httpStatus :: Lens' CreateProcessingJobResponse Int
- createProcessingJobResponse_processingJobArn :: Lens' CreateProcessingJobResponse Text
- createProject_projectDescription :: Lens' CreateProject (Maybe Text)
- createProject_tags :: Lens' CreateProject (Maybe [Tag])
- createProject_projectName :: Lens' CreateProject Text
- createProject_serviceCatalogProvisioningDetails :: Lens' CreateProject ServiceCatalogProvisioningDetails
- createProjectResponse_httpStatus :: Lens' CreateProjectResponse Int
- createProjectResponse_projectArn :: Lens' CreateProjectResponse Text
- createProjectResponse_projectId :: Lens' CreateProjectResponse Text
- createSpace_spaceSettings :: Lens' CreateSpace (Maybe SpaceSettings)
- createSpace_tags :: Lens' CreateSpace (Maybe [Tag])
- createSpace_domainId :: Lens' CreateSpace Text
- createSpace_spaceName :: Lens' CreateSpace Text
- createSpaceResponse_spaceArn :: Lens' CreateSpaceResponse (Maybe Text)
- createSpaceResponse_httpStatus :: Lens' CreateSpaceResponse Int
- createStudioLifecycleConfig_tags :: Lens' CreateStudioLifecycleConfig (Maybe [Tag])
- createStudioLifecycleConfig_studioLifecycleConfigName :: Lens' CreateStudioLifecycleConfig Text
- createStudioLifecycleConfig_studioLifecycleConfigContent :: Lens' CreateStudioLifecycleConfig Text
- createStudioLifecycleConfig_studioLifecycleConfigAppType :: Lens' CreateStudioLifecycleConfig StudioLifecycleConfigAppType
- createStudioLifecycleConfigResponse_studioLifecycleConfigArn :: Lens' CreateStudioLifecycleConfigResponse (Maybe Text)
- createStudioLifecycleConfigResponse_httpStatus :: Lens' CreateStudioLifecycleConfigResponse Int
- createTrainingJob_checkpointConfig :: Lens' CreateTrainingJob (Maybe CheckpointConfig)
- createTrainingJob_debugHookConfig :: Lens' CreateTrainingJob (Maybe DebugHookConfig)
- createTrainingJob_debugRuleConfigurations :: Lens' CreateTrainingJob (Maybe [DebugRuleConfiguration])
- createTrainingJob_enableInterContainerTrafficEncryption :: Lens' CreateTrainingJob (Maybe Bool)
- createTrainingJob_enableManagedSpotTraining :: Lens' CreateTrainingJob (Maybe Bool)
- createTrainingJob_enableNetworkIsolation :: Lens' CreateTrainingJob (Maybe Bool)
- createTrainingJob_environment :: Lens' CreateTrainingJob (Maybe (HashMap Text Text))
- createTrainingJob_experimentConfig :: Lens' CreateTrainingJob (Maybe ExperimentConfig)
- createTrainingJob_hyperParameters :: Lens' CreateTrainingJob (Maybe (HashMap Text Text))
- createTrainingJob_inputDataConfig :: Lens' CreateTrainingJob (Maybe (NonEmpty Channel))
- createTrainingJob_profilerConfig :: Lens' CreateTrainingJob (Maybe ProfilerConfig)
- createTrainingJob_profilerRuleConfigurations :: Lens' CreateTrainingJob (Maybe [ProfilerRuleConfiguration])
- createTrainingJob_retryStrategy :: Lens' CreateTrainingJob (Maybe RetryStrategy)
- createTrainingJob_tags :: Lens' CreateTrainingJob (Maybe [Tag])
- createTrainingJob_tensorBoardOutputConfig :: Lens' CreateTrainingJob (Maybe TensorBoardOutputConfig)
- createTrainingJob_vpcConfig :: Lens' CreateTrainingJob (Maybe VpcConfig)
- createTrainingJob_trainingJobName :: Lens' CreateTrainingJob Text
- createTrainingJob_algorithmSpecification :: Lens' CreateTrainingJob AlgorithmSpecification
- createTrainingJob_roleArn :: Lens' CreateTrainingJob Text
- createTrainingJob_outputDataConfig :: Lens' CreateTrainingJob OutputDataConfig
- createTrainingJob_resourceConfig :: Lens' CreateTrainingJob ResourceConfig
- createTrainingJob_stoppingCondition :: Lens' CreateTrainingJob StoppingCondition
- createTrainingJobResponse_httpStatus :: Lens' CreateTrainingJobResponse Int
- createTrainingJobResponse_trainingJobArn :: Lens' CreateTrainingJobResponse Text
- createTransformJob_batchStrategy :: Lens' CreateTransformJob (Maybe BatchStrategy)
- createTransformJob_dataCaptureConfig :: Lens' CreateTransformJob (Maybe BatchDataCaptureConfig)
- createTransformJob_dataProcessing :: Lens' CreateTransformJob (Maybe DataProcessing)
- createTransformJob_environment :: Lens' CreateTransformJob (Maybe (HashMap Text Text))
- createTransformJob_experimentConfig :: Lens' CreateTransformJob (Maybe ExperimentConfig)
- createTransformJob_maxConcurrentTransforms :: Lens' CreateTransformJob (Maybe Natural)
- createTransformJob_maxPayloadInMB :: Lens' CreateTransformJob (Maybe Natural)
- createTransformJob_modelClientConfig :: Lens' CreateTransformJob (Maybe ModelClientConfig)
- createTransformJob_tags :: Lens' CreateTransformJob (Maybe [Tag])
- createTransformJob_transformJobName :: Lens' CreateTransformJob Text
- createTransformJob_modelName :: Lens' CreateTransformJob Text
- createTransformJob_transformInput :: Lens' CreateTransformJob TransformInput
- createTransformJob_transformOutput :: Lens' CreateTransformJob TransformOutput
- createTransformJob_transformResources :: Lens' CreateTransformJob TransformResources
- createTransformJobResponse_httpStatus :: Lens' CreateTransformJobResponse Int
- createTransformJobResponse_transformJobArn :: Lens' CreateTransformJobResponse Text
- createTrial_displayName :: Lens' CreateTrial (Maybe Text)
- createTrial_metadataProperties :: Lens' CreateTrial (Maybe MetadataProperties)
- createTrial_tags :: Lens' CreateTrial (Maybe [Tag])
- createTrial_trialName :: Lens' CreateTrial Text
- createTrial_experimentName :: Lens' CreateTrial Text
- createTrialResponse_trialArn :: Lens' CreateTrialResponse (Maybe Text)
- createTrialResponse_httpStatus :: Lens' CreateTrialResponse Int
- createTrialComponent_displayName :: Lens' CreateTrialComponent (Maybe Text)
- createTrialComponent_endTime :: Lens' CreateTrialComponent (Maybe UTCTime)
- createTrialComponent_inputArtifacts :: Lens' CreateTrialComponent (Maybe (HashMap Text TrialComponentArtifact))
- createTrialComponent_metadataProperties :: Lens' CreateTrialComponent (Maybe MetadataProperties)
- createTrialComponent_outputArtifacts :: Lens' CreateTrialComponent (Maybe (HashMap Text TrialComponentArtifact))
- createTrialComponent_parameters :: Lens' CreateTrialComponent (Maybe (HashMap Text TrialComponentParameterValue))
- createTrialComponent_startTime :: Lens' CreateTrialComponent (Maybe UTCTime)
- createTrialComponent_status :: Lens' CreateTrialComponent (Maybe TrialComponentStatus)
- createTrialComponent_tags :: Lens' CreateTrialComponent (Maybe [Tag])
- createTrialComponent_trialComponentName :: Lens' CreateTrialComponent Text
- createTrialComponentResponse_trialComponentArn :: Lens' CreateTrialComponentResponse (Maybe Text)
- createTrialComponentResponse_httpStatus :: Lens' CreateTrialComponentResponse Int
- createUserProfile_singleSignOnUserIdentifier :: Lens' CreateUserProfile (Maybe Text)
- createUserProfile_singleSignOnUserValue :: Lens' CreateUserProfile (Maybe Text)
- createUserProfile_tags :: Lens' CreateUserProfile (Maybe [Tag])
- createUserProfile_userSettings :: Lens' CreateUserProfile (Maybe UserSettings)
- createUserProfile_domainId :: Lens' CreateUserProfile Text
- createUserProfile_userProfileName :: Lens' CreateUserProfile Text
- createUserProfileResponse_userProfileArn :: Lens' CreateUserProfileResponse (Maybe Text)
- createUserProfileResponse_httpStatus :: Lens' CreateUserProfileResponse Int
- createWorkforce_cognitoConfig :: Lens' CreateWorkforce (Maybe CognitoConfig)
- createWorkforce_oidcConfig :: Lens' CreateWorkforce (Maybe OidcConfig)
- createWorkforce_sourceIpConfig :: Lens' CreateWorkforce (Maybe SourceIpConfig)
- createWorkforce_tags :: Lens' CreateWorkforce (Maybe [Tag])
- createWorkforce_workforceVpcConfig :: Lens' CreateWorkforce (Maybe WorkforceVpcConfigRequest)
- createWorkforce_workforceName :: Lens' CreateWorkforce Text
- createWorkforceResponse_httpStatus :: Lens' CreateWorkforceResponse Int
- createWorkforceResponse_workforceArn :: Lens' CreateWorkforceResponse Text
- createWorkteam_notificationConfiguration :: Lens' CreateWorkteam (Maybe NotificationConfiguration)
- createWorkteam_tags :: Lens' CreateWorkteam (Maybe [Tag])
- createWorkteam_workforceName :: Lens' CreateWorkteam (Maybe Text)
- createWorkteam_workteamName :: Lens' CreateWorkteam Text
- createWorkteam_memberDefinitions :: Lens' CreateWorkteam (NonEmpty MemberDefinition)
- createWorkteam_description :: Lens' CreateWorkteam Text
- createWorkteamResponse_workteamArn :: Lens' CreateWorkteamResponse (Maybe Text)
- createWorkteamResponse_httpStatus :: Lens' CreateWorkteamResponse Int
- deleteAction_actionName :: Lens' DeleteAction Text
- deleteActionResponse_actionArn :: Lens' DeleteActionResponse (Maybe Text)
- deleteActionResponse_httpStatus :: Lens' DeleteActionResponse Int
- deleteAlgorithm_algorithmName :: Lens' DeleteAlgorithm Text
- deleteApp_spaceName :: Lens' DeleteApp (Maybe Text)
- deleteApp_userProfileName :: Lens' DeleteApp (Maybe Text)
- deleteApp_domainId :: Lens' DeleteApp Text
- deleteApp_appType :: Lens' DeleteApp AppType
- deleteApp_appName :: Lens' DeleteApp Text
- deleteAppImageConfig_appImageConfigName :: Lens' DeleteAppImageConfig Text
- deleteArtifact_artifactArn :: Lens' DeleteArtifact (Maybe Text)
- deleteArtifact_source :: Lens' DeleteArtifact (Maybe ArtifactSource)
- deleteArtifactResponse_artifactArn :: Lens' DeleteArtifactResponse (Maybe Text)
- deleteArtifactResponse_httpStatus :: Lens' DeleteArtifactResponse Int
- deleteAssociation_sourceArn :: Lens' DeleteAssociation Text
- deleteAssociation_destinationArn :: Lens' DeleteAssociation Text
- deleteAssociationResponse_destinationArn :: Lens' DeleteAssociationResponse (Maybe Text)
- deleteAssociationResponse_sourceArn :: Lens' DeleteAssociationResponse (Maybe Text)
- deleteAssociationResponse_httpStatus :: Lens' DeleteAssociationResponse Int
- deleteCodeRepository_codeRepositoryName :: Lens' DeleteCodeRepository Text
- deleteContext_contextName :: Lens' DeleteContext Text
- deleteContextResponse_contextArn :: Lens' DeleteContextResponse (Maybe Text)
- deleteContextResponse_httpStatus :: Lens' DeleteContextResponse Int
- deleteDataQualityJobDefinition_jobDefinitionName :: Lens' DeleteDataQualityJobDefinition Text
- deleteDeviceFleet_deviceFleetName :: Lens' DeleteDeviceFleet Text
- deleteDomain_retentionPolicy :: Lens' DeleteDomain (Maybe RetentionPolicy)
- deleteDomain_domainId :: Lens' DeleteDomain Text
- deleteEdgeDeploymentPlan_edgeDeploymentPlanName :: Lens' DeleteEdgeDeploymentPlan Text
- deleteEdgeDeploymentStage_edgeDeploymentPlanName :: Lens' DeleteEdgeDeploymentStage Text
- deleteEdgeDeploymentStage_stageName :: Lens' DeleteEdgeDeploymentStage Text
- deleteEndpoint_endpointName :: Lens' DeleteEndpoint Text
- deleteEndpointConfig_endpointConfigName :: Lens' DeleteEndpointConfig Text
- deleteExperiment_experimentName :: Lens' DeleteExperiment Text
- deleteExperimentResponse_experimentArn :: Lens' DeleteExperimentResponse (Maybe Text)
- deleteExperimentResponse_httpStatus :: Lens' DeleteExperimentResponse Int
- deleteFeatureGroup_featureGroupName :: Lens' DeleteFeatureGroup Text
- deleteFlowDefinition_flowDefinitionName :: Lens' DeleteFlowDefinition Text
- deleteFlowDefinitionResponse_httpStatus :: Lens' DeleteFlowDefinitionResponse Int
- deleteHub_hubName :: Lens' DeleteHub Text
- deleteHubContent_hubName :: Lens' DeleteHubContent Text
- deleteHubContent_hubContentType :: Lens' DeleteHubContent HubContentType
- deleteHubContent_hubContentName :: Lens' DeleteHubContent Text
- deleteHubContent_hubContentVersion :: Lens' DeleteHubContent Text
- deleteHumanTaskUi_humanTaskUiName :: Lens' DeleteHumanTaskUi Text
- deleteHumanTaskUiResponse_httpStatus :: Lens' DeleteHumanTaskUiResponse Int
- deleteImage_imageName :: Lens' DeleteImage Text
- deleteImageResponse_httpStatus :: Lens' DeleteImageResponse Int
- deleteImageVersion_alias :: Lens' DeleteImageVersion (Maybe Text)
- deleteImageVersion_version :: Lens' DeleteImageVersion (Maybe Natural)
- deleteImageVersion_imageName :: Lens' DeleteImageVersion Text
- deleteImageVersionResponse_httpStatus :: Lens' DeleteImageVersionResponse Int
- deleteInferenceExperiment_name :: Lens' DeleteInferenceExperiment Text
- deleteInferenceExperimentResponse_httpStatus :: Lens' DeleteInferenceExperimentResponse Int
- deleteInferenceExperimentResponse_inferenceExperimentArn :: Lens' DeleteInferenceExperimentResponse Text
- deleteModel_modelName :: Lens' DeleteModel Text
- deleteModelBiasJobDefinition_jobDefinitionName :: Lens' DeleteModelBiasJobDefinition Text
- deleteModelCard_modelCardName :: Lens' DeleteModelCard Text
- deleteModelExplainabilityJobDefinition_jobDefinitionName :: Lens' DeleteModelExplainabilityJobDefinition Text
- deleteModelPackage_modelPackageName :: Lens' DeleteModelPackage Text
- deleteModelPackageGroup_modelPackageGroupName :: Lens' DeleteModelPackageGroup Text
- deleteModelPackageGroupPolicy_modelPackageGroupName :: Lens' DeleteModelPackageGroupPolicy Text
- deleteModelQualityJobDefinition_jobDefinitionName :: Lens' DeleteModelQualityJobDefinition Text
- deleteMonitoringSchedule_monitoringScheduleName :: Lens' DeleteMonitoringSchedule Text
- deleteNotebookInstance_notebookInstanceName :: Lens' DeleteNotebookInstance Text
- deleteNotebookInstanceLifecycleConfig_notebookInstanceLifecycleConfigName :: Lens' DeleteNotebookInstanceLifecycleConfig Text
- deletePipeline_pipelineName :: Lens' DeletePipeline Text
- deletePipeline_clientRequestToken :: Lens' DeletePipeline Text
- deletePipelineResponse_pipelineArn :: Lens' DeletePipelineResponse (Maybe Text)
- deletePipelineResponse_httpStatus :: Lens' DeletePipelineResponse Int
- deleteProject_projectName :: Lens' DeleteProject Text
- deleteSpace_domainId :: Lens' DeleteSpace Text
- deleteSpace_spaceName :: Lens' DeleteSpace Text
- deleteStudioLifecycleConfig_studioLifecycleConfigName :: Lens' DeleteStudioLifecycleConfig Text
- deleteTags_resourceArn :: Lens' DeleteTags Text
- deleteTags_tagKeys :: Lens' DeleteTags (NonEmpty Text)
- deleteTagsResponse_httpStatus :: Lens' DeleteTagsResponse Int
- deleteTrial_trialName :: Lens' DeleteTrial Text
- deleteTrialResponse_trialArn :: Lens' DeleteTrialResponse (Maybe Text)
- deleteTrialResponse_httpStatus :: Lens' DeleteTrialResponse Int
- deleteTrialComponent_trialComponentName :: Lens' DeleteTrialComponent Text
- deleteTrialComponentResponse_trialComponentArn :: Lens' DeleteTrialComponentResponse (Maybe Text)
- deleteTrialComponentResponse_httpStatus :: Lens' DeleteTrialComponentResponse Int
- deleteUserProfile_domainId :: Lens' DeleteUserProfile Text
- deleteUserProfile_userProfileName :: Lens' DeleteUserProfile Text
- deleteWorkforce_workforceName :: Lens' DeleteWorkforce Text
- deleteWorkforceResponse_httpStatus :: Lens' DeleteWorkforceResponse Int
- deleteWorkteam_workteamName :: Lens' DeleteWorkteam Text
- deleteWorkteamResponse_httpStatus :: Lens' DeleteWorkteamResponse Int
- deleteWorkteamResponse_success :: Lens' DeleteWorkteamResponse Bool
- deregisterDevices_deviceFleetName :: Lens' DeregisterDevices Text
- deregisterDevices_deviceNames :: Lens' DeregisterDevices [Text]
- describeAction_actionName :: Lens' DescribeAction Text
- describeActionResponse_actionArn :: Lens' DescribeActionResponse (Maybe Text)
- describeActionResponse_actionName :: Lens' DescribeActionResponse (Maybe Text)
- describeActionResponse_actionType :: Lens' DescribeActionResponse (Maybe Text)
- describeActionResponse_createdBy :: Lens' DescribeActionResponse (Maybe UserContext)
- describeActionResponse_creationTime :: Lens' DescribeActionResponse (Maybe UTCTime)
- describeActionResponse_description :: Lens' DescribeActionResponse (Maybe Text)
- describeActionResponse_lastModifiedBy :: Lens' DescribeActionResponse (Maybe UserContext)
- describeActionResponse_lastModifiedTime :: Lens' DescribeActionResponse (Maybe UTCTime)
- describeActionResponse_lineageGroupArn :: Lens' DescribeActionResponse (Maybe Text)
- describeActionResponse_metadataProperties :: Lens' DescribeActionResponse (Maybe MetadataProperties)
- describeActionResponse_properties :: Lens' DescribeActionResponse (Maybe (HashMap Text Text))
- describeActionResponse_source :: Lens' DescribeActionResponse (Maybe ActionSource)
- describeActionResponse_status :: Lens' DescribeActionResponse (Maybe ActionStatus)
- describeActionResponse_httpStatus :: Lens' DescribeActionResponse Int
- describeAlgorithm_algorithmName :: Lens' DescribeAlgorithm Text
- describeAlgorithmResponse_algorithmDescription :: Lens' DescribeAlgorithmResponse (Maybe Text)
- describeAlgorithmResponse_certifyForMarketplace :: Lens' DescribeAlgorithmResponse (Maybe Bool)
- describeAlgorithmResponse_inferenceSpecification :: Lens' DescribeAlgorithmResponse (Maybe InferenceSpecification)
- describeAlgorithmResponse_productId :: Lens' DescribeAlgorithmResponse (Maybe Text)
- describeAlgorithmResponse_validationSpecification :: Lens' DescribeAlgorithmResponse (Maybe AlgorithmValidationSpecification)
- describeAlgorithmResponse_httpStatus :: Lens' DescribeAlgorithmResponse Int
- describeAlgorithmResponse_algorithmName :: Lens' DescribeAlgorithmResponse Text
- describeAlgorithmResponse_algorithmArn :: Lens' DescribeAlgorithmResponse Text
- describeAlgorithmResponse_creationTime :: Lens' DescribeAlgorithmResponse UTCTime
- describeAlgorithmResponse_trainingSpecification :: Lens' DescribeAlgorithmResponse TrainingSpecification
- describeAlgorithmResponse_algorithmStatus :: Lens' DescribeAlgorithmResponse AlgorithmStatus
- describeAlgorithmResponse_algorithmStatusDetails :: Lens' DescribeAlgorithmResponse AlgorithmStatusDetails
- describeApp_spaceName :: Lens' DescribeApp (Maybe Text)
- describeApp_userProfileName :: Lens' DescribeApp (Maybe Text)
- describeApp_domainId :: Lens' DescribeApp Text
- describeApp_appType :: Lens' DescribeApp AppType
- describeApp_appName :: Lens' DescribeApp Text
- describeAppResponse_appArn :: Lens' DescribeAppResponse (Maybe Text)
- describeAppResponse_appName :: Lens' DescribeAppResponse (Maybe Text)
- describeAppResponse_appType :: Lens' DescribeAppResponse (Maybe AppType)
- describeAppResponse_creationTime :: Lens' DescribeAppResponse (Maybe UTCTime)
- describeAppResponse_domainId :: Lens' DescribeAppResponse (Maybe Text)
- describeAppResponse_failureReason :: Lens' DescribeAppResponse (Maybe Text)
- describeAppResponse_lastHealthCheckTimestamp :: Lens' DescribeAppResponse (Maybe UTCTime)
- describeAppResponse_lastUserActivityTimestamp :: Lens' DescribeAppResponse (Maybe UTCTime)
- describeAppResponse_resourceSpec :: Lens' DescribeAppResponse (Maybe ResourceSpec)
- describeAppResponse_spaceName :: Lens' DescribeAppResponse (Maybe Text)
- describeAppResponse_status :: Lens' DescribeAppResponse (Maybe AppStatus)
- describeAppResponse_userProfileName :: Lens' DescribeAppResponse (Maybe Text)
- describeAppResponse_httpStatus :: Lens' DescribeAppResponse Int
- describeAppImageConfig_appImageConfigName :: Lens' DescribeAppImageConfig Text
- describeAppImageConfigResponse_appImageConfigArn :: Lens' DescribeAppImageConfigResponse (Maybe Text)
- describeAppImageConfigResponse_appImageConfigName :: Lens' DescribeAppImageConfigResponse (Maybe Text)
- describeAppImageConfigResponse_creationTime :: Lens' DescribeAppImageConfigResponse (Maybe UTCTime)
- describeAppImageConfigResponse_kernelGatewayImageConfig :: Lens' DescribeAppImageConfigResponse (Maybe KernelGatewayImageConfig)
- describeAppImageConfigResponse_lastModifiedTime :: Lens' DescribeAppImageConfigResponse (Maybe UTCTime)
- describeAppImageConfigResponse_httpStatus :: Lens' DescribeAppImageConfigResponse Int
- describeArtifact_artifactArn :: Lens' DescribeArtifact Text
- describeArtifactResponse_artifactArn :: Lens' DescribeArtifactResponse (Maybe Text)
- describeArtifactResponse_artifactName :: Lens' DescribeArtifactResponse (Maybe Text)
- describeArtifactResponse_artifactType :: Lens' DescribeArtifactResponse (Maybe Text)
- describeArtifactResponse_createdBy :: Lens' DescribeArtifactResponse (Maybe UserContext)
- describeArtifactResponse_creationTime :: Lens' DescribeArtifactResponse (Maybe UTCTime)
- describeArtifactResponse_lastModifiedBy :: Lens' DescribeArtifactResponse (Maybe UserContext)
- describeArtifactResponse_lastModifiedTime :: Lens' DescribeArtifactResponse (Maybe UTCTime)
- describeArtifactResponse_lineageGroupArn :: Lens' DescribeArtifactResponse (Maybe Text)
- describeArtifactResponse_metadataProperties :: Lens' DescribeArtifactResponse (Maybe MetadataProperties)
- describeArtifactResponse_properties :: Lens' DescribeArtifactResponse (Maybe (HashMap Text Text))
- describeArtifactResponse_source :: Lens' DescribeArtifactResponse (Maybe ArtifactSource)
- describeArtifactResponse_httpStatus :: Lens' DescribeArtifactResponse Int
- describeAutoMLJob_autoMLJobName :: Lens' DescribeAutoMLJob Text
- describeAutoMLJobResponse_autoMLJobArtifacts :: Lens' DescribeAutoMLJobResponse (Maybe AutoMLJobArtifacts)
- describeAutoMLJobResponse_autoMLJobConfig :: Lens' DescribeAutoMLJobResponse (Maybe AutoMLJobConfig)
- describeAutoMLJobResponse_autoMLJobObjective :: Lens' DescribeAutoMLJobResponse (Maybe AutoMLJobObjective)
- describeAutoMLJobResponse_bestCandidate :: Lens' DescribeAutoMLJobResponse (Maybe AutoMLCandidate)
- describeAutoMLJobResponse_endTime :: Lens' DescribeAutoMLJobResponse (Maybe UTCTime)
- describeAutoMLJobResponse_failureReason :: Lens' DescribeAutoMLJobResponse (Maybe Text)
- describeAutoMLJobResponse_generateCandidateDefinitionsOnly :: Lens' DescribeAutoMLJobResponse (Maybe Bool)
- describeAutoMLJobResponse_modelDeployConfig :: Lens' DescribeAutoMLJobResponse (Maybe ModelDeployConfig)
- describeAutoMLJobResponse_modelDeployResult :: Lens' DescribeAutoMLJobResponse (Maybe ModelDeployResult)
- describeAutoMLJobResponse_partialFailureReasons :: Lens' DescribeAutoMLJobResponse (Maybe (NonEmpty AutoMLPartialFailureReason))
- describeAutoMLJobResponse_problemType :: Lens' DescribeAutoMLJobResponse (Maybe ProblemType)
- describeAutoMLJobResponse_resolvedAttributes :: Lens' DescribeAutoMLJobResponse (Maybe ResolvedAttributes)
- describeAutoMLJobResponse_httpStatus :: Lens' DescribeAutoMLJobResponse Int
- describeAutoMLJobResponse_autoMLJobName :: Lens' DescribeAutoMLJobResponse Text
- describeAutoMLJobResponse_autoMLJobArn :: Lens' DescribeAutoMLJobResponse Text
- describeAutoMLJobResponse_inputDataConfig :: Lens' DescribeAutoMLJobResponse (NonEmpty AutoMLChannel)
- describeAutoMLJobResponse_outputDataConfig :: Lens' DescribeAutoMLJobResponse AutoMLOutputDataConfig
- describeAutoMLJobResponse_roleArn :: Lens' DescribeAutoMLJobResponse Text
- describeAutoMLJobResponse_creationTime :: Lens' DescribeAutoMLJobResponse UTCTime
- describeAutoMLJobResponse_lastModifiedTime :: Lens' DescribeAutoMLJobResponse UTCTime
- describeAutoMLJobResponse_autoMLJobStatus :: Lens' DescribeAutoMLJobResponse AutoMLJobStatus
- describeAutoMLJobResponse_autoMLJobSecondaryStatus :: Lens' DescribeAutoMLJobResponse AutoMLJobSecondaryStatus
- describeCodeRepository_codeRepositoryName :: Lens' DescribeCodeRepository Text
- describeCodeRepositoryResponse_gitConfig :: Lens' DescribeCodeRepositoryResponse (Maybe GitConfig)
- describeCodeRepositoryResponse_httpStatus :: Lens' DescribeCodeRepositoryResponse Int
- describeCodeRepositoryResponse_codeRepositoryName :: Lens' DescribeCodeRepositoryResponse Text
- describeCodeRepositoryResponse_codeRepositoryArn :: Lens' DescribeCodeRepositoryResponse Text
- describeCodeRepositoryResponse_creationTime :: Lens' DescribeCodeRepositoryResponse UTCTime
- describeCodeRepositoryResponse_lastModifiedTime :: Lens' DescribeCodeRepositoryResponse UTCTime
- describeCompilationJob_compilationJobName :: Lens' DescribeCompilationJob Text
- describeCompilationJobResponse_compilationEndTime :: Lens' DescribeCompilationJobResponse (Maybe UTCTime)
- describeCompilationJobResponse_compilationStartTime :: Lens' DescribeCompilationJobResponse (Maybe UTCTime)
- describeCompilationJobResponse_inferenceImage :: Lens' DescribeCompilationJobResponse (Maybe Text)
- describeCompilationJobResponse_modelDigests :: Lens' DescribeCompilationJobResponse (Maybe ModelDigests)
- describeCompilationJobResponse_modelPackageVersionArn :: Lens' DescribeCompilationJobResponse (Maybe Text)
- describeCompilationJobResponse_vpcConfig :: Lens' DescribeCompilationJobResponse (Maybe NeoVpcConfig)
- describeCompilationJobResponse_httpStatus :: Lens' DescribeCompilationJobResponse Int
- describeCompilationJobResponse_compilationJobName :: Lens' DescribeCompilationJobResponse Text
- describeCompilationJobResponse_compilationJobArn :: Lens' DescribeCompilationJobResponse Text
- describeCompilationJobResponse_compilationJobStatus :: Lens' DescribeCompilationJobResponse CompilationJobStatus
- describeCompilationJobResponse_stoppingCondition :: Lens' DescribeCompilationJobResponse StoppingCondition
- describeCompilationJobResponse_creationTime :: Lens' DescribeCompilationJobResponse UTCTime
- describeCompilationJobResponse_lastModifiedTime :: Lens' DescribeCompilationJobResponse UTCTime
- describeCompilationJobResponse_failureReason :: Lens' DescribeCompilationJobResponse Text
- describeCompilationJobResponse_modelArtifacts :: Lens' DescribeCompilationJobResponse ModelArtifacts
- describeCompilationJobResponse_roleArn :: Lens' DescribeCompilationJobResponse Text
- describeCompilationJobResponse_inputConfig :: Lens' DescribeCompilationJobResponse InputConfig
- describeCompilationJobResponse_outputConfig :: Lens' DescribeCompilationJobResponse OutputConfig
- describeContext_contextName :: Lens' DescribeContext Text
- describeContextResponse_contextArn :: Lens' DescribeContextResponse (Maybe Text)
- describeContextResponse_contextName :: Lens' DescribeContextResponse (Maybe Text)
- describeContextResponse_contextType :: Lens' DescribeContextResponse (Maybe Text)
- describeContextResponse_createdBy :: Lens' DescribeContextResponse (Maybe UserContext)
- describeContextResponse_creationTime :: Lens' DescribeContextResponse (Maybe UTCTime)
- describeContextResponse_description :: Lens' DescribeContextResponse (Maybe Text)
- describeContextResponse_lastModifiedBy :: Lens' DescribeContextResponse (Maybe UserContext)
- describeContextResponse_lastModifiedTime :: Lens' DescribeContextResponse (Maybe UTCTime)
- describeContextResponse_lineageGroupArn :: Lens' DescribeContextResponse (Maybe Text)
- describeContextResponse_properties :: Lens' DescribeContextResponse (Maybe (HashMap Text Text))
- describeContextResponse_source :: Lens' DescribeContextResponse (Maybe ContextSource)
- describeContextResponse_httpStatus :: Lens' DescribeContextResponse Int
- describeDataQualityJobDefinition_jobDefinitionName :: Lens' DescribeDataQualityJobDefinition Text
- describeDataQualityJobDefinitionResponse_dataQualityBaselineConfig :: Lens' DescribeDataQualityJobDefinitionResponse (Maybe DataQualityBaselineConfig)
- describeDataQualityJobDefinitionResponse_networkConfig :: Lens' DescribeDataQualityJobDefinitionResponse (Maybe MonitoringNetworkConfig)
- describeDataQualityJobDefinitionResponse_stoppingCondition :: Lens' DescribeDataQualityJobDefinitionResponse (Maybe MonitoringStoppingCondition)
- describeDataQualityJobDefinitionResponse_httpStatus :: Lens' DescribeDataQualityJobDefinitionResponse Int
- describeDataQualityJobDefinitionResponse_jobDefinitionArn :: Lens' DescribeDataQualityJobDefinitionResponse Text
- describeDataQualityJobDefinitionResponse_jobDefinitionName :: Lens' DescribeDataQualityJobDefinitionResponse Text
- describeDataQualityJobDefinitionResponse_creationTime :: Lens' DescribeDataQualityJobDefinitionResponse UTCTime
- describeDataQualityJobDefinitionResponse_dataQualityAppSpecification :: Lens' DescribeDataQualityJobDefinitionResponse DataQualityAppSpecification
- describeDataQualityJobDefinitionResponse_dataQualityJobInput :: Lens' DescribeDataQualityJobDefinitionResponse DataQualityJobInput
- describeDataQualityJobDefinitionResponse_dataQualityJobOutputConfig :: Lens' DescribeDataQualityJobDefinitionResponse MonitoringOutputConfig
- describeDataQualityJobDefinitionResponse_jobResources :: Lens' DescribeDataQualityJobDefinitionResponse MonitoringResources
- describeDataQualityJobDefinitionResponse_roleArn :: Lens' DescribeDataQualityJobDefinitionResponse Text
- describeDevice_nextToken :: Lens' DescribeDevice (Maybe Text)
- describeDevice_deviceName :: Lens' DescribeDevice Text
- describeDevice_deviceFleetName :: Lens' DescribeDevice Text
- describeDeviceResponse_agentVersion :: Lens' DescribeDeviceResponse (Maybe Text)
- describeDeviceResponse_description :: Lens' DescribeDeviceResponse (Maybe Text)
- describeDeviceResponse_deviceArn :: Lens' DescribeDeviceResponse (Maybe Text)
- describeDeviceResponse_iotThingName :: Lens' DescribeDeviceResponse (Maybe Text)
- describeDeviceResponse_latestHeartbeat :: Lens' DescribeDeviceResponse (Maybe UTCTime)
- describeDeviceResponse_maxModels :: Lens' DescribeDeviceResponse (Maybe Int)
- describeDeviceResponse_models :: Lens' DescribeDeviceResponse (Maybe [EdgeModel])
- describeDeviceResponse_nextToken :: Lens' DescribeDeviceResponse (Maybe Text)
- describeDeviceResponse_httpStatus :: Lens' DescribeDeviceResponse Int
- describeDeviceResponse_deviceName :: Lens' DescribeDeviceResponse Text
- describeDeviceResponse_deviceFleetName :: Lens' DescribeDeviceResponse Text
- describeDeviceResponse_registrationTime :: Lens' DescribeDeviceResponse UTCTime
- describeDeviceFleet_deviceFleetName :: Lens' DescribeDeviceFleet Text
- describeDeviceFleetResponse_description :: Lens' DescribeDeviceFleetResponse (Maybe Text)
- describeDeviceFleetResponse_iotRoleAlias :: Lens' DescribeDeviceFleetResponse (Maybe Text)
- describeDeviceFleetResponse_roleArn :: Lens' DescribeDeviceFleetResponse (Maybe Text)
- describeDeviceFleetResponse_httpStatus :: Lens' DescribeDeviceFleetResponse Int
- describeDeviceFleetResponse_deviceFleetName :: Lens' DescribeDeviceFleetResponse Text
- describeDeviceFleetResponse_deviceFleetArn :: Lens' DescribeDeviceFleetResponse Text
- describeDeviceFleetResponse_outputConfig :: Lens' DescribeDeviceFleetResponse EdgeOutputConfig
- describeDeviceFleetResponse_creationTime :: Lens' DescribeDeviceFleetResponse UTCTime
- describeDeviceFleetResponse_lastModifiedTime :: Lens' DescribeDeviceFleetResponse UTCTime
- describeDomain_domainId :: Lens' DescribeDomain Text
- describeDomainResponse_appNetworkAccessType :: Lens' DescribeDomainResponse (Maybe AppNetworkAccessType)
- describeDomainResponse_appSecurityGroupManagement :: Lens' DescribeDomainResponse (Maybe AppSecurityGroupManagement)
- describeDomainResponse_authMode :: Lens' DescribeDomainResponse (Maybe AuthMode)
- describeDomainResponse_creationTime :: Lens' DescribeDomainResponse (Maybe UTCTime)
- describeDomainResponse_defaultSpaceSettings :: Lens' DescribeDomainResponse (Maybe DefaultSpaceSettings)
- describeDomainResponse_defaultUserSettings :: Lens' DescribeDomainResponse (Maybe UserSettings)
- describeDomainResponse_domainArn :: Lens' DescribeDomainResponse (Maybe Text)
- describeDomainResponse_domainId :: Lens' DescribeDomainResponse (Maybe Text)
- describeDomainResponse_domainName :: Lens' DescribeDomainResponse (Maybe Text)
- describeDomainResponse_domainSettings :: Lens' DescribeDomainResponse (Maybe DomainSettings)
- describeDomainResponse_failureReason :: Lens' DescribeDomainResponse (Maybe Text)
- describeDomainResponse_homeEfsFileSystemId :: Lens' DescribeDomainResponse (Maybe Text)
- describeDomainResponse_homeEfsFileSystemKmsKeyId :: Lens' DescribeDomainResponse (Maybe Text)
- describeDomainResponse_kmsKeyId :: Lens' DescribeDomainResponse (Maybe Text)
- describeDomainResponse_lastModifiedTime :: Lens' DescribeDomainResponse (Maybe UTCTime)
- describeDomainResponse_securityGroupIdForDomainBoundary :: Lens' DescribeDomainResponse (Maybe Text)
- describeDomainResponse_singleSignOnManagedApplicationInstanceId :: Lens' DescribeDomainResponse (Maybe Text)
- describeDomainResponse_status :: Lens' DescribeDomainResponse (Maybe DomainStatus)
- describeDomainResponse_subnetIds :: Lens' DescribeDomainResponse (Maybe (NonEmpty Text))
- describeDomainResponse_url :: Lens' DescribeDomainResponse (Maybe Text)
- describeDomainResponse_vpcId :: Lens' DescribeDomainResponse (Maybe Text)
- describeDomainResponse_httpStatus :: Lens' DescribeDomainResponse Int
- describeEdgeDeploymentPlan_maxResults :: Lens' DescribeEdgeDeploymentPlan (Maybe Int)
- describeEdgeDeploymentPlan_nextToken :: Lens' DescribeEdgeDeploymentPlan (Maybe Text)
- describeEdgeDeploymentPlan_edgeDeploymentPlanName :: Lens' DescribeEdgeDeploymentPlan Text
- describeEdgeDeploymentPlanResponse_creationTime :: Lens' DescribeEdgeDeploymentPlanResponse (Maybe UTCTime)
- describeEdgeDeploymentPlanResponse_edgeDeploymentFailed :: Lens' DescribeEdgeDeploymentPlanResponse (Maybe Int)
- describeEdgeDeploymentPlanResponse_edgeDeploymentPending :: Lens' DescribeEdgeDeploymentPlanResponse (Maybe Int)
- describeEdgeDeploymentPlanResponse_edgeDeploymentSuccess :: Lens' DescribeEdgeDeploymentPlanResponse (Maybe Int)
- describeEdgeDeploymentPlanResponse_lastModifiedTime :: Lens' DescribeEdgeDeploymentPlanResponse (Maybe UTCTime)
- describeEdgeDeploymentPlanResponse_nextToken :: Lens' DescribeEdgeDeploymentPlanResponse (Maybe Text)
- describeEdgeDeploymentPlanResponse_httpStatus :: Lens' DescribeEdgeDeploymentPlanResponse Int
- describeEdgeDeploymentPlanResponse_edgeDeploymentPlanArn :: Lens' DescribeEdgeDeploymentPlanResponse Text
- describeEdgeDeploymentPlanResponse_edgeDeploymentPlanName :: Lens' DescribeEdgeDeploymentPlanResponse Text
- describeEdgeDeploymentPlanResponse_modelConfigs :: Lens' DescribeEdgeDeploymentPlanResponse [EdgeDeploymentModelConfig]
- describeEdgeDeploymentPlanResponse_deviceFleetName :: Lens' DescribeEdgeDeploymentPlanResponse Text
- describeEdgeDeploymentPlanResponse_stages :: Lens' DescribeEdgeDeploymentPlanResponse [DeploymentStageStatusSummary]
- describeEdgePackagingJob_edgePackagingJobName :: Lens' DescribeEdgePackagingJob Text
- describeEdgePackagingJobResponse_compilationJobName :: Lens' DescribeEdgePackagingJobResponse (Maybe Text)
- describeEdgePackagingJobResponse_creationTime :: Lens' DescribeEdgePackagingJobResponse (Maybe UTCTime)
- describeEdgePackagingJobResponse_edgePackagingJobStatusMessage :: Lens' DescribeEdgePackagingJobResponse (Maybe Text)
- describeEdgePackagingJobResponse_lastModifiedTime :: Lens' DescribeEdgePackagingJobResponse (Maybe UTCTime)
- describeEdgePackagingJobResponse_modelArtifact :: Lens' DescribeEdgePackagingJobResponse (Maybe Text)
- describeEdgePackagingJobResponse_modelName :: Lens' DescribeEdgePackagingJobResponse (Maybe Text)
- describeEdgePackagingJobResponse_modelSignature :: Lens' DescribeEdgePackagingJobResponse (Maybe Text)
- describeEdgePackagingJobResponse_modelVersion :: Lens' DescribeEdgePackagingJobResponse (Maybe Text)
- describeEdgePackagingJobResponse_outputConfig :: Lens' DescribeEdgePackagingJobResponse (Maybe EdgeOutputConfig)
- describeEdgePackagingJobResponse_presetDeploymentOutput :: Lens' DescribeEdgePackagingJobResponse (Maybe EdgePresetDeploymentOutput)
- describeEdgePackagingJobResponse_resourceKey :: Lens' DescribeEdgePackagingJobResponse (Maybe Text)
- describeEdgePackagingJobResponse_roleArn :: Lens' DescribeEdgePackagingJobResponse (Maybe Text)
- describeEdgePackagingJobResponse_httpStatus :: Lens' DescribeEdgePackagingJobResponse Int
- describeEdgePackagingJobResponse_edgePackagingJobArn :: Lens' DescribeEdgePackagingJobResponse Text
- describeEdgePackagingJobResponse_edgePackagingJobName :: Lens' DescribeEdgePackagingJobResponse Text
- describeEdgePackagingJobResponse_edgePackagingJobStatus :: Lens' DescribeEdgePackagingJobResponse EdgePackagingJobStatus
- describeEndpoint_endpointName :: Lens' DescribeEndpoint Text
- describeEndpointResponse_asyncInferenceConfig :: Lens' DescribeEndpointResponse (Maybe AsyncInferenceConfig)
- describeEndpointResponse_dataCaptureConfig :: Lens' DescribeEndpointResponse (Maybe DataCaptureConfigSummary)
- describeEndpointResponse_explainerConfig :: Lens' DescribeEndpointResponse (Maybe ExplainerConfig)
- describeEndpointResponse_failureReason :: Lens' DescribeEndpointResponse (Maybe Text)
- describeEndpointResponse_lastDeploymentConfig :: Lens' DescribeEndpointResponse (Maybe DeploymentConfig)
- describeEndpointResponse_pendingDeploymentSummary :: Lens' DescribeEndpointResponse (Maybe PendingDeploymentSummary)
- describeEndpointResponse_productionVariants :: Lens' DescribeEndpointResponse (Maybe (NonEmpty ProductionVariantSummary))
- describeEndpointResponse_shadowProductionVariants :: Lens' DescribeEndpointResponse (Maybe (NonEmpty ProductionVariantSummary))
- describeEndpointResponse_httpStatus :: Lens' DescribeEndpointResponse Int
- describeEndpointResponse_endpointName :: Lens' DescribeEndpointResponse Text
- describeEndpointResponse_endpointArn :: Lens' DescribeEndpointResponse Text
- describeEndpointResponse_endpointConfigName :: Lens' DescribeEndpointResponse Text
- describeEndpointResponse_endpointStatus :: Lens' DescribeEndpointResponse EndpointStatus
- describeEndpointResponse_creationTime :: Lens' DescribeEndpointResponse UTCTime
- describeEndpointResponse_lastModifiedTime :: Lens' DescribeEndpointResponse UTCTime
- describeEndpointConfig_endpointConfigName :: Lens' DescribeEndpointConfig Text
- describeEndpointConfigResponse_asyncInferenceConfig :: Lens' DescribeEndpointConfigResponse (Maybe AsyncInferenceConfig)
- describeEndpointConfigResponse_dataCaptureConfig :: Lens' DescribeEndpointConfigResponse (Maybe DataCaptureConfig)
- describeEndpointConfigResponse_explainerConfig :: Lens' DescribeEndpointConfigResponse (Maybe ExplainerConfig)
- describeEndpointConfigResponse_kmsKeyId :: Lens' DescribeEndpointConfigResponse (Maybe Text)
- describeEndpointConfigResponse_shadowProductionVariants :: Lens' DescribeEndpointConfigResponse (Maybe (NonEmpty ProductionVariant))
- describeEndpointConfigResponse_httpStatus :: Lens' DescribeEndpointConfigResponse Int
- describeEndpointConfigResponse_endpointConfigName :: Lens' DescribeEndpointConfigResponse Text
- describeEndpointConfigResponse_endpointConfigArn :: Lens' DescribeEndpointConfigResponse Text
- describeEndpointConfigResponse_productionVariants :: Lens' DescribeEndpointConfigResponse (NonEmpty ProductionVariant)
- describeEndpointConfigResponse_creationTime :: Lens' DescribeEndpointConfigResponse UTCTime
- describeExperiment_experimentName :: Lens' DescribeExperiment Text
- describeExperimentResponse_createdBy :: Lens' DescribeExperimentResponse (Maybe UserContext)
- describeExperimentResponse_creationTime :: Lens' DescribeExperimentResponse (Maybe UTCTime)
- describeExperimentResponse_description :: Lens' DescribeExperimentResponse (Maybe Text)
- describeExperimentResponse_displayName :: Lens' DescribeExperimentResponse (Maybe Text)
- describeExperimentResponse_experimentArn :: Lens' DescribeExperimentResponse (Maybe Text)
- describeExperimentResponse_experimentName :: Lens' DescribeExperimentResponse (Maybe Text)
- describeExperimentResponse_lastModifiedBy :: Lens' DescribeExperimentResponse (Maybe UserContext)
- describeExperimentResponse_lastModifiedTime :: Lens' DescribeExperimentResponse (Maybe UTCTime)
- describeExperimentResponse_source :: Lens' DescribeExperimentResponse (Maybe ExperimentSource)
- describeExperimentResponse_httpStatus :: Lens' DescribeExperimentResponse Int
- describeFeatureGroup_nextToken :: Lens' DescribeFeatureGroup (Maybe Text)
- describeFeatureGroup_featureGroupName :: Lens' DescribeFeatureGroup Text
- describeFeatureGroupResponse_description :: Lens' DescribeFeatureGroupResponse (Maybe Text)
- describeFeatureGroupResponse_failureReason :: Lens' DescribeFeatureGroupResponse (Maybe Text)
- describeFeatureGroupResponse_featureGroupStatus :: Lens' DescribeFeatureGroupResponse (Maybe FeatureGroupStatus)
- describeFeatureGroupResponse_lastModifiedTime :: Lens' DescribeFeatureGroupResponse (Maybe UTCTime)
- describeFeatureGroupResponse_lastUpdateStatus :: Lens' DescribeFeatureGroupResponse (Maybe LastUpdateStatus)
- describeFeatureGroupResponse_offlineStoreConfig :: Lens' DescribeFeatureGroupResponse (Maybe OfflineStoreConfig)
- describeFeatureGroupResponse_offlineStoreStatus :: Lens' DescribeFeatureGroupResponse (Maybe OfflineStoreStatus)
- describeFeatureGroupResponse_onlineStoreConfig :: Lens' DescribeFeatureGroupResponse (Maybe OnlineStoreConfig)
- describeFeatureGroupResponse_onlineStoreTotalSizeBytes :: Lens' DescribeFeatureGroupResponse (Maybe Integer)
- describeFeatureGroupResponse_roleArn :: Lens' DescribeFeatureGroupResponse (Maybe Text)
- describeFeatureGroupResponse_httpStatus :: Lens' DescribeFeatureGroupResponse Int
- describeFeatureGroupResponse_featureGroupArn :: Lens' DescribeFeatureGroupResponse Text
- describeFeatureGroupResponse_featureGroupName :: Lens' DescribeFeatureGroupResponse Text
- describeFeatureGroupResponse_recordIdentifierFeatureName :: Lens' DescribeFeatureGroupResponse Text
- describeFeatureGroupResponse_eventTimeFeatureName :: Lens' DescribeFeatureGroupResponse Text
- describeFeatureGroupResponse_featureDefinitions :: Lens' DescribeFeatureGroupResponse (NonEmpty FeatureDefinition)
- describeFeatureGroupResponse_creationTime :: Lens' DescribeFeatureGroupResponse UTCTime
- describeFeatureGroupResponse_nextToken :: Lens' DescribeFeatureGroupResponse Text
- describeFeatureMetadata_featureGroupName :: Lens' DescribeFeatureMetadata Text
- describeFeatureMetadata_featureName :: Lens' DescribeFeatureMetadata Text
- describeFeatureMetadataResponse_description :: Lens' DescribeFeatureMetadataResponse (Maybe Text)
- describeFeatureMetadataResponse_parameters :: Lens' DescribeFeatureMetadataResponse (Maybe [FeatureParameter])
- describeFeatureMetadataResponse_httpStatus :: Lens' DescribeFeatureMetadataResponse Int
- describeFeatureMetadataResponse_featureGroupArn :: Lens' DescribeFeatureMetadataResponse Text
- describeFeatureMetadataResponse_featureGroupName :: Lens' DescribeFeatureMetadataResponse Text
- describeFeatureMetadataResponse_featureName :: Lens' DescribeFeatureMetadataResponse Text
- describeFeatureMetadataResponse_featureType :: Lens' DescribeFeatureMetadataResponse FeatureType
- describeFeatureMetadataResponse_creationTime :: Lens' DescribeFeatureMetadataResponse UTCTime
- describeFeatureMetadataResponse_lastModifiedTime :: Lens' DescribeFeatureMetadataResponse UTCTime
- describeFlowDefinition_flowDefinitionName :: Lens' DescribeFlowDefinition Text
- describeFlowDefinitionResponse_failureReason :: Lens' DescribeFlowDefinitionResponse (Maybe Text)
- describeFlowDefinitionResponse_humanLoopActivationConfig :: Lens' DescribeFlowDefinitionResponse (Maybe HumanLoopActivationConfig)
- describeFlowDefinitionResponse_humanLoopRequestSource :: Lens' DescribeFlowDefinitionResponse (Maybe HumanLoopRequestSource)
- describeFlowDefinitionResponse_httpStatus :: Lens' DescribeFlowDefinitionResponse Int
- describeFlowDefinitionResponse_flowDefinitionArn :: Lens' DescribeFlowDefinitionResponse Text
- describeFlowDefinitionResponse_flowDefinitionName :: Lens' DescribeFlowDefinitionResponse Text
- describeFlowDefinitionResponse_flowDefinitionStatus :: Lens' DescribeFlowDefinitionResponse FlowDefinitionStatus
- describeFlowDefinitionResponse_creationTime :: Lens' DescribeFlowDefinitionResponse UTCTime
- describeFlowDefinitionResponse_humanLoopConfig :: Lens' DescribeFlowDefinitionResponse HumanLoopConfig
- describeFlowDefinitionResponse_outputConfig :: Lens' DescribeFlowDefinitionResponse FlowDefinitionOutputConfig
- describeFlowDefinitionResponse_roleArn :: Lens' DescribeFlowDefinitionResponse Text
- describeHub_hubName :: Lens' DescribeHub Text
- describeHubResponse_failureReason :: Lens' DescribeHubResponse (Maybe Text)
- describeHubResponse_hubDescription :: Lens' DescribeHubResponse (Maybe Text)
- describeHubResponse_hubDisplayName :: Lens' DescribeHubResponse (Maybe Text)
- describeHubResponse_hubSearchKeywords :: Lens' DescribeHubResponse (Maybe [Text])
- describeHubResponse_s3StorageConfig :: Lens' DescribeHubResponse (Maybe HubS3StorageConfig)
- describeHubResponse_httpStatus :: Lens' DescribeHubResponse Int
- describeHubResponse_hubName :: Lens' DescribeHubResponse Text
- describeHubResponse_hubArn :: Lens' DescribeHubResponse Text
- describeHubResponse_hubStatus :: Lens' DescribeHubResponse HubStatus
- describeHubResponse_creationTime :: Lens' DescribeHubResponse UTCTime
- describeHubResponse_lastModifiedTime :: Lens' DescribeHubResponse UTCTime
- describeHubContent_hubContentVersion :: Lens' DescribeHubContent (Maybe Text)
- describeHubContent_hubName :: Lens' DescribeHubContent Text
- describeHubContent_hubContentType :: Lens' DescribeHubContent HubContentType
- describeHubContent_hubContentName :: Lens' DescribeHubContent Text
- describeHubContentResponse_failureReason :: Lens' DescribeHubContentResponse (Maybe Text)
- describeHubContentResponse_hubContentDependencies :: Lens' DescribeHubContentResponse (Maybe [HubContentDependency])
- describeHubContentResponse_hubContentDescription :: Lens' DescribeHubContentResponse (Maybe Text)
- describeHubContentResponse_hubContentDisplayName :: Lens' DescribeHubContentResponse (Maybe Text)
- describeHubContentResponse_hubContentMarkdown :: Lens' DescribeHubContentResponse (Maybe Text)
- describeHubContentResponse_hubContentSearchKeywords :: Lens' DescribeHubContentResponse (Maybe [Text])
- describeHubContentResponse_httpStatus :: Lens' DescribeHubContentResponse Int
- describeHubContentResponse_hubContentName :: Lens' DescribeHubContentResponse Text
- describeHubContentResponse_hubContentArn :: Lens' DescribeHubContentResponse Text
- describeHubContentResponse_hubContentVersion :: Lens' DescribeHubContentResponse Text
- describeHubContentResponse_hubContentType :: Lens' DescribeHubContentResponse HubContentType
- describeHubContentResponse_documentSchemaVersion :: Lens' DescribeHubContentResponse Text
- describeHubContentResponse_hubName :: Lens' DescribeHubContentResponse Text
- describeHubContentResponse_hubArn :: Lens' DescribeHubContentResponse Text
- describeHubContentResponse_hubContentDocument :: Lens' DescribeHubContentResponse Text
- describeHubContentResponse_hubContentStatus :: Lens' DescribeHubContentResponse HubContentStatus
- describeHubContentResponse_creationTime :: Lens' DescribeHubContentResponse UTCTime
- describeHumanTaskUi_humanTaskUiName :: Lens' DescribeHumanTaskUi Text
- describeHumanTaskUiResponse_humanTaskUiStatus :: Lens' DescribeHumanTaskUiResponse (Maybe HumanTaskUiStatus)
- describeHumanTaskUiResponse_httpStatus :: Lens' DescribeHumanTaskUiResponse Int
- describeHumanTaskUiResponse_humanTaskUiArn :: Lens' DescribeHumanTaskUiResponse Text
- describeHumanTaskUiResponse_humanTaskUiName :: Lens' DescribeHumanTaskUiResponse Text
- describeHumanTaskUiResponse_creationTime :: Lens' DescribeHumanTaskUiResponse UTCTime
- describeHumanTaskUiResponse_uiTemplate :: Lens' DescribeHumanTaskUiResponse UiTemplateInfo
- describeHyperParameterTuningJob_hyperParameterTuningJobName :: Lens' DescribeHyperParameterTuningJob Text
- describeHyperParameterTuningJobResponse_bestTrainingJob :: Lens' DescribeHyperParameterTuningJobResponse (Maybe HyperParameterTrainingJobSummary)
- describeHyperParameterTuningJobResponse_failureReason :: Lens' DescribeHyperParameterTuningJobResponse (Maybe Text)
- describeHyperParameterTuningJobResponse_hyperParameterTuningEndTime :: Lens' DescribeHyperParameterTuningJobResponse (Maybe UTCTime)
- describeHyperParameterTuningJobResponse_lastModifiedTime :: Lens' DescribeHyperParameterTuningJobResponse (Maybe UTCTime)
- describeHyperParameterTuningJobResponse_overallBestTrainingJob :: Lens' DescribeHyperParameterTuningJobResponse (Maybe HyperParameterTrainingJobSummary)
- describeHyperParameterTuningJobResponse_trainingJobDefinition :: Lens' DescribeHyperParameterTuningJobResponse (Maybe HyperParameterTrainingJobDefinition)
- describeHyperParameterTuningJobResponse_trainingJobDefinitions :: Lens' DescribeHyperParameterTuningJobResponse (Maybe (NonEmpty HyperParameterTrainingJobDefinition))
- describeHyperParameterTuningJobResponse_warmStartConfig :: Lens' DescribeHyperParameterTuningJobResponse (Maybe HyperParameterTuningJobWarmStartConfig)
- describeHyperParameterTuningJobResponse_httpStatus :: Lens' DescribeHyperParameterTuningJobResponse Int
- describeHyperParameterTuningJobResponse_hyperParameterTuningJobName :: Lens' DescribeHyperParameterTuningJobResponse Text
- describeHyperParameterTuningJobResponse_hyperParameterTuningJobArn :: Lens' DescribeHyperParameterTuningJobResponse Text
- describeHyperParameterTuningJobResponse_hyperParameterTuningJobConfig :: Lens' DescribeHyperParameterTuningJobResponse HyperParameterTuningJobConfig
- describeHyperParameterTuningJobResponse_hyperParameterTuningJobStatus :: Lens' DescribeHyperParameterTuningJobResponse HyperParameterTuningJobStatus
- describeHyperParameterTuningJobResponse_creationTime :: Lens' DescribeHyperParameterTuningJobResponse UTCTime
- describeHyperParameterTuningJobResponse_trainingJobStatusCounters :: Lens' DescribeHyperParameterTuningJobResponse TrainingJobStatusCounters
- describeHyperParameterTuningJobResponse_objectiveStatusCounters :: Lens' DescribeHyperParameterTuningJobResponse ObjectiveStatusCounters
- describeImage_imageName :: Lens' DescribeImage Text
- describeImageResponse_creationTime :: Lens' DescribeImageResponse (Maybe UTCTime)
- describeImageResponse_description :: Lens' DescribeImageResponse (Maybe Text)
- describeImageResponse_displayName :: Lens' DescribeImageResponse (Maybe Text)
- describeImageResponse_failureReason :: Lens' DescribeImageResponse (Maybe Text)
- describeImageResponse_imageArn :: Lens' DescribeImageResponse (Maybe Text)
- describeImageResponse_imageName :: Lens' DescribeImageResponse (Maybe Text)
- describeImageResponse_imageStatus :: Lens' DescribeImageResponse (Maybe ImageStatus)
- describeImageResponse_lastModifiedTime :: Lens' DescribeImageResponse (Maybe UTCTime)
- describeImageResponse_roleArn :: Lens' DescribeImageResponse (Maybe Text)
- describeImageResponse_httpStatus :: Lens' DescribeImageResponse Int
- describeImageVersion_alias :: Lens' DescribeImageVersion (Maybe Text)
- describeImageVersion_version :: Lens' DescribeImageVersion (Maybe Natural)
- describeImageVersion_imageName :: Lens' DescribeImageVersion Text
- describeImageVersionResponse_baseImage :: Lens' DescribeImageVersionResponse (Maybe Text)
- describeImageVersionResponse_containerImage :: Lens' DescribeImageVersionResponse (Maybe Text)
- describeImageVersionResponse_creationTime :: Lens' DescribeImageVersionResponse (Maybe UTCTime)
- describeImageVersionResponse_failureReason :: Lens' DescribeImageVersionResponse (Maybe Text)
- describeImageVersionResponse_horovod :: Lens' DescribeImageVersionResponse (Maybe Bool)
- describeImageVersionResponse_imageArn :: Lens' DescribeImageVersionResponse (Maybe Text)
- describeImageVersionResponse_imageVersionArn :: Lens' DescribeImageVersionResponse (Maybe Text)
- describeImageVersionResponse_imageVersionStatus :: Lens' DescribeImageVersionResponse (Maybe ImageVersionStatus)
- describeImageVersionResponse_jobType :: Lens' DescribeImageVersionResponse (Maybe JobType)
- describeImageVersionResponse_lastModifiedTime :: Lens' DescribeImageVersionResponse (Maybe UTCTime)
- describeImageVersionResponse_mLFramework :: Lens' DescribeImageVersionResponse (Maybe Text)
- describeImageVersionResponse_processor :: Lens' DescribeImageVersionResponse (Maybe Processor)
- describeImageVersionResponse_programmingLang :: Lens' DescribeImageVersionResponse (Maybe Text)
- describeImageVersionResponse_releaseNotes :: Lens' DescribeImageVersionResponse (Maybe Text)
- describeImageVersionResponse_vendorGuidance :: Lens' DescribeImageVersionResponse (Maybe VendorGuidance)
- describeImageVersionResponse_version :: Lens' DescribeImageVersionResponse (Maybe Natural)
- describeImageVersionResponse_httpStatus :: Lens' DescribeImageVersionResponse Int
- describeInferenceExperiment_name :: Lens' DescribeInferenceExperiment Text
- describeInferenceExperimentResponse_completionTime :: Lens' DescribeInferenceExperimentResponse (Maybe UTCTime)
- describeInferenceExperimentResponse_creationTime :: Lens' DescribeInferenceExperimentResponse (Maybe UTCTime)
- describeInferenceExperimentResponse_dataStorageConfig :: Lens' DescribeInferenceExperimentResponse (Maybe InferenceExperimentDataStorageConfig)
- describeInferenceExperimentResponse_description :: Lens' DescribeInferenceExperimentResponse (Maybe Text)
- describeInferenceExperimentResponse_kmsKey :: Lens' DescribeInferenceExperimentResponse (Maybe Text)
- describeInferenceExperimentResponse_lastModifiedTime :: Lens' DescribeInferenceExperimentResponse (Maybe UTCTime)
- describeInferenceExperimentResponse_roleArn :: Lens' DescribeInferenceExperimentResponse (Maybe Text)
- describeInferenceExperimentResponse_schedule :: Lens' DescribeInferenceExperimentResponse (Maybe InferenceExperimentSchedule)
- describeInferenceExperimentResponse_shadowModeConfig :: Lens' DescribeInferenceExperimentResponse (Maybe ShadowModeConfig)
- describeInferenceExperimentResponse_statusReason :: Lens' DescribeInferenceExperimentResponse (Maybe Text)
- describeInferenceExperimentResponse_httpStatus :: Lens' DescribeInferenceExperimentResponse Int
- describeInferenceExperimentResponse_arn :: Lens' DescribeInferenceExperimentResponse Text
- describeInferenceExperimentResponse_name :: Lens' DescribeInferenceExperimentResponse Text
- describeInferenceExperimentResponse_type :: Lens' DescribeInferenceExperimentResponse InferenceExperimentType
- describeInferenceExperimentResponse_status :: Lens' DescribeInferenceExperimentResponse InferenceExperimentStatus
- describeInferenceExperimentResponse_endpointMetadata :: Lens' DescribeInferenceExperimentResponse EndpointMetadata
- describeInferenceExperimentResponse_modelVariants :: Lens' DescribeInferenceExperimentResponse [ModelVariantConfigSummary]
- describeInferenceRecommendationsJob_jobName :: Lens' DescribeInferenceRecommendationsJob Text
- describeInferenceRecommendationsJobResponse_completionTime :: Lens' DescribeInferenceRecommendationsJobResponse (Maybe UTCTime)
- describeInferenceRecommendationsJobResponse_endpointPerformances :: Lens' DescribeInferenceRecommendationsJobResponse (Maybe [EndpointPerformance])
- describeInferenceRecommendationsJobResponse_failureReason :: Lens' DescribeInferenceRecommendationsJobResponse (Maybe Text)
- describeInferenceRecommendationsJobResponse_inferenceRecommendations :: Lens' DescribeInferenceRecommendationsJobResponse (Maybe (NonEmpty InferenceRecommendation))
- describeInferenceRecommendationsJobResponse_jobDescription :: Lens' DescribeInferenceRecommendationsJobResponse (Maybe Text)
- describeInferenceRecommendationsJobResponse_stoppingConditions :: Lens' DescribeInferenceRecommendationsJobResponse (Maybe RecommendationJobStoppingConditions)
- describeInferenceRecommendationsJobResponse_httpStatus :: Lens' DescribeInferenceRecommendationsJobResponse Int
- describeInferenceRecommendationsJobResponse_jobName :: Lens' DescribeInferenceRecommendationsJobResponse Text
- describeInferenceRecommendationsJobResponse_jobType :: Lens' DescribeInferenceRecommendationsJobResponse RecommendationJobType
- describeInferenceRecommendationsJobResponse_jobArn :: Lens' DescribeInferenceRecommendationsJobResponse Text
- describeInferenceRecommendationsJobResponse_roleArn :: Lens' DescribeInferenceRecommendationsJobResponse Text
- describeInferenceRecommendationsJobResponse_status :: Lens' DescribeInferenceRecommendationsJobResponse RecommendationJobStatus
- describeInferenceRecommendationsJobResponse_creationTime :: Lens' DescribeInferenceRecommendationsJobResponse UTCTime
- describeInferenceRecommendationsJobResponse_lastModifiedTime :: Lens' DescribeInferenceRecommendationsJobResponse UTCTime
- describeInferenceRecommendationsJobResponse_inputConfig :: Lens' DescribeInferenceRecommendationsJobResponse RecommendationJobInputConfig
- describeLabelingJob_labelingJobName :: Lens' DescribeLabelingJob Text
- describeLabelingJobResponse_failureReason :: Lens' DescribeLabelingJobResponse (Maybe Text)
- describeLabelingJobResponse_labelAttributeName :: Lens' DescribeLabelingJobResponse (Maybe Text)
- describeLabelingJobResponse_labelCategoryConfigS3Uri :: Lens' DescribeLabelingJobResponse (Maybe Text)
- describeLabelingJobResponse_labelingJobAlgorithmsConfig :: Lens' DescribeLabelingJobResponse (Maybe LabelingJobAlgorithmsConfig)
- describeLabelingJobResponse_labelingJobOutput :: Lens' DescribeLabelingJobResponse (Maybe LabelingJobOutput)
- describeLabelingJobResponse_stoppingConditions :: Lens' DescribeLabelingJobResponse (Maybe LabelingJobStoppingConditions)
- describeLabelingJobResponse_tags :: Lens' DescribeLabelingJobResponse (Maybe [Tag])
- describeLabelingJobResponse_httpStatus :: Lens' DescribeLabelingJobResponse Int
- describeLabelingJobResponse_labelingJobStatus :: Lens' DescribeLabelingJobResponse LabelingJobStatus
- describeLabelingJobResponse_labelCounters :: Lens' DescribeLabelingJobResponse LabelCounters
- describeLabelingJobResponse_creationTime :: Lens' DescribeLabelingJobResponse UTCTime
- describeLabelingJobResponse_lastModifiedTime :: Lens' DescribeLabelingJobResponse UTCTime
- describeLabelingJobResponse_jobReferenceCode :: Lens' DescribeLabelingJobResponse Text
- describeLabelingJobResponse_labelingJobName :: Lens' DescribeLabelingJobResponse Text
- describeLabelingJobResponse_labelingJobArn :: Lens' DescribeLabelingJobResponse Text
- describeLabelingJobResponse_inputConfig :: Lens' DescribeLabelingJobResponse LabelingJobInputConfig
- describeLabelingJobResponse_outputConfig :: Lens' DescribeLabelingJobResponse LabelingJobOutputConfig
- describeLabelingJobResponse_roleArn :: Lens' DescribeLabelingJobResponse Text
- describeLabelingJobResponse_humanTaskConfig :: Lens' DescribeLabelingJobResponse HumanTaskConfig
- describeLineageGroup_lineageGroupName :: Lens' DescribeLineageGroup Text
- describeLineageGroupResponse_createdBy :: Lens' DescribeLineageGroupResponse (Maybe UserContext)
- describeLineageGroupResponse_creationTime :: Lens' DescribeLineageGroupResponse (Maybe UTCTime)
- describeLineageGroupResponse_description :: Lens' DescribeLineageGroupResponse (Maybe Text)
- describeLineageGroupResponse_displayName :: Lens' DescribeLineageGroupResponse (Maybe Text)
- describeLineageGroupResponse_lastModifiedBy :: Lens' DescribeLineageGroupResponse (Maybe UserContext)
- describeLineageGroupResponse_lastModifiedTime :: Lens' DescribeLineageGroupResponse (Maybe UTCTime)
- describeLineageGroupResponse_lineageGroupArn :: Lens' DescribeLineageGroupResponse (Maybe Text)
- describeLineageGroupResponse_lineageGroupName :: Lens' DescribeLineageGroupResponse (Maybe Text)
- describeLineageGroupResponse_httpStatus :: Lens' DescribeLineageGroupResponse Int
- describeModel_modelName :: Lens' DescribeModel Text
- describeModelResponse_containers :: Lens' DescribeModelResponse (Maybe [ContainerDefinition])
- describeModelResponse_enableNetworkIsolation :: Lens' DescribeModelResponse (Maybe Bool)
- describeModelResponse_inferenceExecutionConfig :: Lens' DescribeModelResponse (Maybe InferenceExecutionConfig)
- describeModelResponse_primaryContainer :: Lens' DescribeModelResponse (Maybe ContainerDefinition)
- describeModelResponse_vpcConfig :: Lens' DescribeModelResponse (Maybe VpcConfig)
- describeModelResponse_httpStatus :: Lens' DescribeModelResponse Int
- describeModelResponse_modelName :: Lens' DescribeModelResponse Text
- describeModelResponse_executionRoleArn :: Lens' DescribeModelResponse Text
- describeModelResponse_creationTime :: Lens' DescribeModelResponse UTCTime
- describeModelResponse_modelArn :: Lens' DescribeModelResponse Text
- describeModelBiasJobDefinition_jobDefinitionName :: Lens' DescribeModelBiasJobDefinition Text
- describeModelBiasJobDefinitionResponse_modelBiasBaselineConfig :: Lens' DescribeModelBiasJobDefinitionResponse (Maybe ModelBiasBaselineConfig)
- describeModelBiasJobDefinitionResponse_networkConfig :: Lens' DescribeModelBiasJobDefinitionResponse (Maybe MonitoringNetworkConfig)
- describeModelBiasJobDefinitionResponse_stoppingCondition :: Lens' DescribeModelBiasJobDefinitionResponse (Maybe MonitoringStoppingCondition)
- describeModelBiasJobDefinitionResponse_httpStatus :: Lens' DescribeModelBiasJobDefinitionResponse Int
- describeModelBiasJobDefinitionResponse_jobDefinitionArn :: Lens' DescribeModelBiasJobDefinitionResponse Text
- describeModelBiasJobDefinitionResponse_jobDefinitionName :: Lens' DescribeModelBiasJobDefinitionResponse Text
- describeModelBiasJobDefinitionResponse_creationTime :: Lens' DescribeModelBiasJobDefinitionResponse UTCTime
- describeModelBiasJobDefinitionResponse_modelBiasAppSpecification :: Lens' DescribeModelBiasJobDefinitionResponse ModelBiasAppSpecification
- describeModelBiasJobDefinitionResponse_modelBiasJobInput :: Lens' DescribeModelBiasJobDefinitionResponse ModelBiasJobInput
- describeModelBiasJobDefinitionResponse_modelBiasJobOutputConfig :: Lens' DescribeModelBiasJobDefinitionResponse MonitoringOutputConfig
- describeModelBiasJobDefinitionResponse_jobResources :: Lens' DescribeModelBiasJobDefinitionResponse MonitoringResources
- describeModelBiasJobDefinitionResponse_roleArn :: Lens' DescribeModelBiasJobDefinitionResponse Text
- describeModelCard_modelCardVersion :: Lens' DescribeModelCard (Maybe Int)
- describeModelCard_modelCardName :: Lens' DescribeModelCard Text
- describeModelCardResponse_lastModifiedBy :: Lens' DescribeModelCardResponse (Maybe UserContext)
- describeModelCardResponse_lastModifiedTime :: Lens' DescribeModelCardResponse (Maybe UTCTime)
- describeModelCardResponse_modelCardProcessingStatus :: Lens' DescribeModelCardResponse (Maybe ModelCardProcessingStatus)
- describeModelCardResponse_securityConfig :: Lens' DescribeModelCardResponse (Maybe ModelCardSecurityConfig)
- describeModelCardResponse_httpStatus :: Lens' DescribeModelCardResponse Int
- describeModelCardResponse_modelCardArn :: Lens' DescribeModelCardResponse Text
- describeModelCardResponse_modelCardName :: Lens' DescribeModelCardResponse Text
- describeModelCardResponse_modelCardVersion :: Lens' DescribeModelCardResponse Int
- describeModelCardResponse_content :: Lens' DescribeModelCardResponse Text
- describeModelCardResponse_modelCardStatus :: Lens' DescribeModelCardResponse ModelCardStatus
- describeModelCardResponse_creationTime :: Lens' DescribeModelCardResponse UTCTime
- describeModelCardResponse_createdBy :: Lens' DescribeModelCardResponse UserContext
- describeModelCardExportJob_modelCardExportJobArn :: Lens' DescribeModelCardExportJob Text
- describeModelCardExportJobResponse_exportArtifacts :: Lens' DescribeModelCardExportJobResponse (Maybe ModelCardExportArtifacts)
- describeModelCardExportJobResponse_failureReason :: Lens' DescribeModelCardExportJobResponse (Maybe Text)
- describeModelCardExportJobResponse_httpStatus :: Lens' DescribeModelCardExportJobResponse Int
- describeModelCardExportJobResponse_modelCardExportJobName :: Lens' DescribeModelCardExportJobResponse Text
- describeModelCardExportJobResponse_modelCardExportJobArn :: Lens' DescribeModelCardExportJobResponse Text
- describeModelCardExportJobResponse_status :: Lens' DescribeModelCardExportJobResponse ModelCardExportJobStatus
- describeModelCardExportJobResponse_modelCardName :: Lens' DescribeModelCardExportJobResponse Text
- describeModelCardExportJobResponse_modelCardVersion :: Lens' DescribeModelCardExportJobResponse Int
- describeModelCardExportJobResponse_outputConfig :: Lens' DescribeModelCardExportJobResponse ModelCardExportOutputConfig
- describeModelCardExportJobResponse_createdAt :: Lens' DescribeModelCardExportJobResponse UTCTime
- describeModelCardExportJobResponse_lastModifiedAt :: Lens' DescribeModelCardExportJobResponse UTCTime
- describeModelExplainabilityJobDefinition_jobDefinitionName :: Lens' DescribeModelExplainabilityJobDefinition Text
- describeModelExplainabilityJobDefinitionResponse_modelExplainabilityBaselineConfig :: Lens' DescribeModelExplainabilityJobDefinitionResponse (Maybe ModelExplainabilityBaselineConfig)
- describeModelExplainabilityJobDefinitionResponse_networkConfig :: Lens' DescribeModelExplainabilityJobDefinitionResponse (Maybe MonitoringNetworkConfig)
- describeModelExplainabilityJobDefinitionResponse_stoppingCondition :: Lens' DescribeModelExplainabilityJobDefinitionResponse (Maybe MonitoringStoppingCondition)
- describeModelExplainabilityJobDefinitionResponse_httpStatus :: Lens' DescribeModelExplainabilityJobDefinitionResponse Int
- describeModelExplainabilityJobDefinitionResponse_jobDefinitionArn :: Lens' DescribeModelExplainabilityJobDefinitionResponse Text
- describeModelExplainabilityJobDefinitionResponse_jobDefinitionName :: Lens' DescribeModelExplainabilityJobDefinitionResponse Text
- describeModelExplainabilityJobDefinitionResponse_creationTime :: Lens' DescribeModelExplainabilityJobDefinitionResponse UTCTime
- describeModelExplainabilityJobDefinitionResponse_modelExplainabilityAppSpecification :: Lens' DescribeModelExplainabilityJobDefinitionResponse ModelExplainabilityAppSpecification
- describeModelExplainabilityJobDefinitionResponse_modelExplainabilityJobInput :: Lens' DescribeModelExplainabilityJobDefinitionResponse ModelExplainabilityJobInput
- describeModelExplainabilityJobDefinitionResponse_modelExplainabilityJobOutputConfig :: Lens' DescribeModelExplainabilityJobDefinitionResponse MonitoringOutputConfig
- describeModelExplainabilityJobDefinitionResponse_jobResources :: Lens' DescribeModelExplainabilityJobDefinitionResponse MonitoringResources
- describeModelExplainabilityJobDefinitionResponse_roleArn :: Lens' DescribeModelExplainabilityJobDefinitionResponse Text
- describeModelPackage_modelPackageName :: Lens' DescribeModelPackage Text
- describeModelPackageResponse_additionalInferenceSpecifications :: Lens' DescribeModelPackageResponse (Maybe (NonEmpty AdditionalInferenceSpecificationDefinition))
- describeModelPackageResponse_approvalDescription :: Lens' DescribeModelPackageResponse (Maybe Text)
- describeModelPackageResponse_certifyForMarketplace :: Lens' DescribeModelPackageResponse (Maybe Bool)
- describeModelPackageResponse_createdBy :: Lens' DescribeModelPackageResponse (Maybe UserContext)
- describeModelPackageResponse_customerMetadataProperties :: Lens' DescribeModelPackageResponse (Maybe (HashMap Text Text))
- describeModelPackageResponse_domain :: Lens' DescribeModelPackageResponse (Maybe Text)
- describeModelPackageResponse_driftCheckBaselines :: Lens' DescribeModelPackageResponse (Maybe DriftCheckBaselines)
- describeModelPackageResponse_inferenceSpecification :: Lens' DescribeModelPackageResponse (Maybe InferenceSpecification)
- describeModelPackageResponse_lastModifiedBy :: Lens' DescribeModelPackageResponse (Maybe UserContext)
- describeModelPackageResponse_lastModifiedTime :: Lens' DescribeModelPackageResponse (Maybe UTCTime)
- describeModelPackageResponse_metadataProperties :: Lens' DescribeModelPackageResponse (Maybe MetadataProperties)
- describeModelPackageResponse_modelApprovalStatus :: Lens' DescribeModelPackageResponse (Maybe ModelApprovalStatus)
- describeModelPackageResponse_modelMetrics :: Lens' DescribeModelPackageResponse (Maybe ModelMetrics)
- describeModelPackageResponse_modelPackageDescription :: Lens' DescribeModelPackageResponse (Maybe Text)
- describeModelPackageResponse_modelPackageGroupName :: Lens' DescribeModelPackageResponse (Maybe Text)
- describeModelPackageResponse_modelPackageVersion :: Lens' DescribeModelPackageResponse (Maybe Natural)
- describeModelPackageResponse_samplePayloadUrl :: Lens' DescribeModelPackageResponse (Maybe Text)
- describeModelPackageResponse_sourceAlgorithmSpecification :: Lens' DescribeModelPackageResponse (Maybe SourceAlgorithmSpecification)
- describeModelPackageResponse_task :: Lens' DescribeModelPackageResponse (Maybe Text)
- describeModelPackageResponse_validationSpecification :: Lens' DescribeModelPackageResponse (Maybe ModelPackageValidationSpecification)
- describeModelPackageResponse_httpStatus :: Lens' DescribeModelPackageResponse Int
- describeModelPackageResponse_modelPackageName :: Lens' DescribeModelPackageResponse Text
- describeModelPackageResponse_modelPackageArn :: Lens' DescribeModelPackageResponse Text
- describeModelPackageResponse_creationTime :: Lens' DescribeModelPackageResponse UTCTime
- describeModelPackageResponse_modelPackageStatus :: Lens' DescribeModelPackageResponse ModelPackageStatus
- describeModelPackageResponse_modelPackageStatusDetails :: Lens' DescribeModelPackageResponse ModelPackageStatusDetails
- describeModelPackageGroup_modelPackageGroupName :: Lens' DescribeModelPackageGroup Text
- describeModelPackageGroupResponse_modelPackageGroupDescription :: Lens' DescribeModelPackageGroupResponse (Maybe Text)
- describeModelPackageGroupResponse_httpStatus :: Lens' DescribeModelPackageGroupResponse Int
- describeModelPackageGroupResponse_modelPackageGroupName :: Lens' DescribeModelPackageGroupResponse Text
- describeModelPackageGroupResponse_modelPackageGroupArn :: Lens' DescribeModelPackageGroupResponse Text
- describeModelPackageGroupResponse_creationTime :: Lens' DescribeModelPackageGroupResponse UTCTime
- describeModelPackageGroupResponse_createdBy :: Lens' DescribeModelPackageGroupResponse UserContext
- describeModelPackageGroupResponse_modelPackageGroupStatus :: Lens' DescribeModelPackageGroupResponse ModelPackageGroupStatus
- describeModelQualityJobDefinition_jobDefinitionName :: Lens' DescribeModelQualityJobDefinition Text
- describeModelQualityJobDefinitionResponse_modelQualityBaselineConfig :: Lens' DescribeModelQualityJobDefinitionResponse (Maybe ModelQualityBaselineConfig)
- describeModelQualityJobDefinitionResponse_networkConfig :: Lens' DescribeModelQualityJobDefinitionResponse (Maybe MonitoringNetworkConfig)
- describeModelQualityJobDefinitionResponse_stoppingCondition :: Lens' DescribeModelQualityJobDefinitionResponse (Maybe MonitoringStoppingCondition)
- describeModelQualityJobDefinitionResponse_httpStatus :: Lens' DescribeModelQualityJobDefinitionResponse Int
- describeModelQualityJobDefinitionResponse_jobDefinitionArn :: Lens' DescribeModelQualityJobDefinitionResponse Text
- describeModelQualityJobDefinitionResponse_jobDefinitionName :: Lens' DescribeModelQualityJobDefinitionResponse Text
- describeModelQualityJobDefinitionResponse_creationTime :: Lens' DescribeModelQualityJobDefinitionResponse UTCTime
- describeModelQualityJobDefinitionResponse_modelQualityAppSpecification :: Lens' DescribeModelQualityJobDefinitionResponse ModelQualityAppSpecification
- describeModelQualityJobDefinitionResponse_modelQualityJobInput :: Lens' DescribeModelQualityJobDefinitionResponse ModelQualityJobInput
- describeModelQualityJobDefinitionResponse_modelQualityJobOutputConfig :: Lens' DescribeModelQualityJobDefinitionResponse MonitoringOutputConfig
- describeModelQualityJobDefinitionResponse_jobResources :: Lens' DescribeModelQualityJobDefinitionResponse MonitoringResources
- describeModelQualityJobDefinitionResponse_roleArn :: Lens' DescribeModelQualityJobDefinitionResponse Text
- describeMonitoringSchedule_monitoringScheduleName :: Lens' DescribeMonitoringSchedule Text
- describeMonitoringScheduleResponse_endpointName :: Lens' DescribeMonitoringScheduleResponse (Maybe Text)
- describeMonitoringScheduleResponse_failureReason :: Lens' DescribeMonitoringScheduleResponse (Maybe Text)
- describeMonitoringScheduleResponse_lastMonitoringExecutionSummary :: Lens' DescribeMonitoringScheduleResponse (Maybe MonitoringExecutionSummary)
- describeMonitoringScheduleResponse_monitoringType :: Lens' DescribeMonitoringScheduleResponse (Maybe MonitoringType)
- describeMonitoringScheduleResponse_httpStatus :: Lens' DescribeMonitoringScheduleResponse Int
- describeMonitoringScheduleResponse_monitoringScheduleArn :: Lens' DescribeMonitoringScheduleResponse Text
- describeMonitoringScheduleResponse_monitoringScheduleName :: Lens' DescribeMonitoringScheduleResponse Text
- describeMonitoringScheduleResponse_monitoringScheduleStatus :: Lens' DescribeMonitoringScheduleResponse ScheduleStatus
- describeMonitoringScheduleResponse_creationTime :: Lens' DescribeMonitoringScheduleResponse UTCTime
- describeMonitoringScheduleResponse_lastModifiedTime :: Lens' DescribeMonitoringScheduleResponse UTCTime
- describeMonitoringScheduleResponse_monitoringScheduleConfig :: Lens' DescribeMonitoringScheduleResponse MonitoringScheduleConfig
- describeNotebookInstance_notebookInstanceName :: Lens' DescribeNotebookInstance Text
- describeNotebookInstanceResponse_acceleratorTypes :: Lens' DescribeNotebookInstanceResponse (Maybe [NotebookInstanceAcceleratorType])
- describeNotebookInstanceResponse_additionalCodeRepositories :: Lens' DescribeNotebookInstanceResponse (Maybe [Text])
- describeNotebookInstanceResponse_creationTime :: Lens' DescribeNotebookInstanceResponse (Maybe UTCTime)
- describeNotebookInstanceResponse_defaultCodeRepository :: Lens' DescribeNotebookInstanceResponse (Maybe Text)
- describeNotebookInstanceResponse_directInternetAccess :: Lens' DescribeNotebookInstanceResponse (Maybe DirectInternetAccess)
- describeNotebookInstanceResponse_failureReason :: Lens' DescribeNotebookInstanceResponse (Maybe Text)
- describeNotebookInstanceResponse_instanceMetadataServiceConfiguration :: Lens' DescribeNotebookInstanceResponse (Maybe InstanceMetadataServiceConfiguration)
- describeNotebookInstanceResponse_instanceType :: Lens' DescribeNotebookInstanceResponse (Maybe InstanceType)
- describeNotebookInstanceResponse_kmsKeyId :: Lens' DescribeNotebookInstanceResponse (Maybe Text)
- describeNotebookInstanceResponse_lastModifiedTime :: Lens' DescribeNotebookInstanceResponse (Maybe UTCTime)
- describeNotebookInstanceResponse_networkInterfaceId :: Lens' DescribeNotebookInstanceResponse (Maybe Text)
- describeNotebookInstanceResponse_notebookInstanceArn :: Lens' DescribeNotebookInstanceResponse (Maybe Text)
- describeNotebookInstanceResponse_notebookInstanceLifecycleConfigName :: Lens' DescribeNotebookInstanceResponse (Maybe Text)
- describeNotebookInstanceResponse_notebookInstanceName :: Lens' DescribeNotebookInstanceResponse (Maybe Text)
- describeNotebookInstanceResponse_notebookInstanceStatus :: Lens' DescribeNotebookInstanceResponse (Maybe NotebookInstanceStatus)
- describeNotebookInstanceResponse_platformIdentifier :: Lens' DescribeNotebookInstanceResponse (Maybe Text)
- describeNotebookInstanceResponse_roleArn :: Lens' DescribeNotebookInstanceResponse (Maybe Text)
- describeNotebookInstanceResponse_rootAccess :: Lens' DescribeNotebookInstanceResponse (Maybe RootAccess)
- describeNotebookInstanceResponse_securityGroups :: Lens' DescribeNotebookInstanceResponse (Maybe [Text])
- describeNotebookInstanceResponse_subnetId :: Lens' DescribeNotebookInstanceResponse (Maybe Text)
- describeNotebookInstanceResponse_url :: Lens' DescribeNotebookInstanceResponse (Maybe Text)
- describeNotebookInstanceResponse_volumeSizeInGB :: Lens' DescribeNotebookInstanceResponse (Maybe Natural)
- describeNotebookInstanceResponse_httpStatus :: Lens' DescribeNotebookInstanceResponse Int
- describeNotebookInstanceLifecycleConfig_notebookInstanceLifecycleConfigName :: Lens' DescribeNotebookInstanceLifecycleConfig Text
- describeNotebookInstanceLifecycleConfigResponse_creationTime :: Lens' DescribeNotebookInstanceLifecycleConfigResponse (Maybe UTCTime)
- describeNotebookInstanceLifecycleConfigResponse_lastModifiedTime :: Lens' DescribeNotebookInstanceLifecycleConfigResponse (Maybe UTCTime)
- describeNotebookInstanceLifecycleConfigResponse_notebookInstanceLifecycleConfigArn :: Lens' DescribeNotebookInstanceLifecycleConfigResponse (Maybe Text)
- describeNotebookInstanceLifecycleConfigResponse_notebookInstanceLifecycleConfigName :: Lens' DescribeNotebookInstanceLifecycleConfigResponse (Maybe Text)
- describeNotebookInstanceLifecycleConfigResponse_onCreate :: Lens' DescribeNotebookInstanceLifecycleConfigResponse (Maybe [NotebookInstanceLifecycleHook])
- describeNotebookInstanceLifecycleConfigResponse_onStart :: Lens' DescribeNotebookInstanceLifecycleConfigResponse (Maybe [NotebookInstanceLifecycleHook])
- describeNotebookInstanceLifecycleConfigResponse_httpStatus :: Lens' DescribeNotebookInstanceLifecycleConfigResponse Int
- describePipeline_pipelineName :: Lens' DescribePipeline Text
- describePipelineResponse_createdBy :: Lens' DescribePipelineResponse (Maybe UserContext)
- describePipelineResponse_creationTime :: Lens' DescribePipelineResponse (Maybe UTCTime)
- describePipelineResponse_lastModifiedBy :: Lens' DescribePipelineResponse (Maybe UserContext)
- describePipelineResponse_lastModifiedTime :: Lens' DescribePipelineResponse (Maybe UTCTime)
- describePipelineResponse_lastRunTime :: Lens' DescribePipelineResponse (Maybe UTCTime)
- describePipelineResponse_parallelismConfiguration :: Lens' DescribePipelineResponse (Maybe ParallelismConfiguration)
- describePipelineResponse_pipelineArn :: Lens' DescribePipelineResponse (Maybe Text)
- describePipelineResponse_pipelineDefinition :: Lens' DescribePipelineResponse (Maybe Text)
- describePipelineResponse_pipelineDescription :: Lens' DescribePipelineResponse (Maybe Text)
- describePipelineResponse_pipelineDisplayName :: Lens' DescribePipelineResponse (Maybe Text)
- describePipelineResponse_pipelineName :: Lens' DescribePipelineResponse (Maybe Text)
- describePipelineResponse_pipelineStatus :: Lens' DescribePipelineResponse (Maybe PipelineStatus)
- describePipelineResponse_roleArn :: Lens' DescribePipelineResponse (Maybe Text)
- describePipelineResponse_httpStatus :: Lens' DescribePipelineResponse Int
- describePipelineDefinitionForExecution_pipelineExecutionArn :: Lens' DescribePipelineDefinitionForExecution Text
- describePipelineDefinitionForExecutionResponse_creationTime :: Lens' DescribePipelineDefinitionForExecutionResponse (Maybe UTCTime)
- describePipelineDefinitionForExecutionResponse_pipelineDefinition :: Lens' DescribePipelineDefinitionForExecutionResponse (Maybe Text)
- describePipelineDefinitionForExecutionResponse_httpStatus :: Lens' DescribePipelineDefinitionForExecutionResponse Int
- describePipelineExecution_pipelineExecutionArn :: Lens' DescribePipelineExecution Text
- describePipelineExecutionResponse_createdBy :: Lens' DescribePipelineExecutionResponse (Maybe UserContext)
- describePipelineExecutionResponse_creationTime :: Lens' DescribePipelineExecutionResponse (Maybe UTCTime)
- describePipelineExecutionResponse_failureReason :: Lens' DescribePipelineExecutionResponse (Maybe Text)
- describePipelineExecutionResponse_lastModifiedBy :: Lens' DescribePipelineExecutionResponse (Maybe UserContext)
- describePipelineExecutionResponse_lastModifiedTime :: Lens' DescribePipelineExecutionResponse (Maybe UTCTime)
- describePipelineExecutionResponse_parallelismConfiguration :: Lens' DescribePipelineExecutionResponse (Maybe ParallelismConfiguration)
- describePipelineExecutionResponse_pipelineArn :: Lens' DescribePipelineExecutionResponse (Maybe Text)
- describePipelineExecutionResponse_pipelineExecutionArn :: Lens' DescribePipelineExecutionResponse (Maybe Text)
- describePipelineExecutionResponse_pipelineExecutionDescription :: Lens' DescribePipelineExecutionResponse (Maybe Text)
- describePipelineExecutionResponse_pipelineExecutionDisplayName :: Lens' DescribePipelineExecutionResponse (Maybe Text)
- describePipelineExecutionResponse_pipelineExecutionStatus :: Lens' DescribePipelineExecutionResponse (Maybe PipelineExecutionStatus)
- describePipelineExecutionResponse_pipelineExperimentConfig :: Lens' DescribePipelineExecutionResponse (Maybe PipelineExperimentConfig)
- describePipelineExecutionResponse_httpStatus :: Lens' DescribePipelineExecutionResponse Int
- describeProcessingJob_processingJobName :: Lens' DescribeProcessingJob Text
- describeProcessingJobResponse_autoMLJobArn :: Lens' DescribeProcessingJobResponse (Maybe Text)
- describeProcessingJobResponse_environment :: Lens' DescribeProcessingJobResponse (Maybe (HashMap Text Text))
- describeProcessingJobResponse_exitMessage :: Lens' DescribeProcessingJobResponse (Maybe Text)
- describeProcessingJobResponse_experimentConfig :: Lens' DescribeProcessingJobResponse (Maybe ExperimentConfig)
- describeProcessingJobResponse_failureReason :: Lens' DescribeProcessingJobResponse (Maybe Text)
- describeProcessingJobResponse_lastModifiedTime :: Lens' DescribeProcessingJobResponse (Maybe UTCTime)
- describeProcessingJobResponse_monitoringScheduleArn :: Lens' DescribeProcessingJobResponse (Maybe Text)
- describeProcessingJobResponse_networkConfig :: Lens' DescribeProcessingJobResponse (Maybe NetworkConfig)
- describeProcessingJobResponse_processingEndTime :: Lens' DescribeProcessingJobResponse (Maybe UTCTime)
- describeProcessingJobResponse_processingInputs :: Lens' DescribeProcessingJobResponse (Maybe [ProcessingInput])
- describeProcessingJobResponse_processingOutputConfig :: Lens' DescribeProcessingJobResponse (Maybe ProcessingOutputConfig)
- describeProcessingJobResponse_processingStartTime :: Lens' DescribeProcessingJobResponse (Maybe UTCTime)
- describeProcessingJobResponse_roleArn :: Lens' DescribeProcessingJobResponse (Maybe Text)
- describeProcessingJobResponse_stoppingCondition :: Lens' DescribeProcessingJobResponse (Maybe ProcessingStoppingCondition)
- describeProcessingJobResponse_trainingJobArn :: Lens' DescribeProcessingJobResponse (Maybe Text)
- describeProcessingJobResponse_httpStatus :: Lens' DescribeProcessingJobResponse Int
- describeProcessingJobResponse_processingJobName :: Lens' DescribeProcessingJobResponse Text
- describeProcessingJobResponse_processingResources :: Lens' DescribeProcessingJobResponse ProcessingResources
- describeProcessingJobResponse_appSpecification :: Lens' DescribeProcessingJobResponse AppSpecification
- describeProcessingJobResponse_processingJobArn :: Lens' DescribeProcessingJobResponse Text
- describeProcessingJobResponse_processingJobStatus :: Lens' DescribeProcessingJobResponse ProcessingJobStatus
- describeProcessingJobResponse_creationTime :: Lens' DescribeProcessingJobResponse UTCTime
- describeProject_projectName :: Lens' DescribeProject Text
- describeProjectResponse_createdBy :: Lens' DescribeProjectResponse (Maybe UserContext)
- describeProjectResponse_lastModifiedBy :: Lens' DescribeProjectResponse (Maybe UserContext)
- describeProjectResponse_lastModifiedTime :: Lens' DescribeProjectResponse (Maybe UTCTime)
- describeProjectResponse_projectDescription :: Lens' DescribeProjectResponse (Maybe Text)
- describeProjectResponse_serviceCatalogProvisionedProductDetails :: Lens' DescribeProjectResponse (Maybe ServiceCatalogProvisionedProductDetails)
- describeProjectResponse_httpStatus :: Lens' DescribeProjectResponse Int
- describeProjectResponse_projectArn :: Lens' DescribeProjectResponse Text
- describeProjectResponse_projectName :: Lens' DescribeProjectResponse Text
- describeProjectResponse_projectId :: Lens' DescribeProjectResponse Text
- describeProjectResponse_serviceCatalogProvisioningDetails :: Lens' DescribeProjectResponse ServiceCatalogProvisioningDetails
- describeProjectResponse_projectStatus :: Lens' DescribeProjectResponse ProjectStatus
- describeProjectResponse_creationTime :: Lens' DescribeProjectResponse UTCTime
- describeSpace_domainId :: Lens' DescribeSpace Text
- describeSpace_spaceName :: Lens' DescribeSpace Text
- describeSpaceResponse_creationTime :: Lens' DescribeSpaceResponse (Maybe UTCTime)
- describeSpaceResponse_domainId :: Lens' DescribeSpaceResponse (Maybe Text)
- describeSpaceResponse_failureReason :: Lens' DescribeSpaceResponse (Maybe Text)
- describeSpaceResponse_homeEfsFileSystemUid :: Lens' DescribeSpaceResponse (Maybe Text)
- describeSpaceResponse_lastModifiedTime :: Lens' DescribeSpaceResponse (Maybe UTCTime)
- describeSpaceResponse_spaceArn :: Lens' DescribeSpaceResponse (Maybe Text)
- describeSpaceResponse_spaceName :: Lens' DescribeSpaceResponse (Maybe Text)
- describeSpaceResponse_spaceSettings :: Lens' DescribeSpaceResponse (Maybe SpaceSettings)
- describeSpaceResponse_status :: Lens' DescribeSpaceResponse (Maybe SpaceStatus)
- describeSpaceResponse_httpStatus :: Lens' DescribeSpaceResponse Int
- describeStudioLifecycleConfig_studioLifecycleConfigName :: Lens' DescribeStudioLifecycleConfig Text
- describeStudioLifecycleConfigResponse_creationTime :: Lens' DescribeStudioLifecycleConfigResponse (Maybe UTCTime)
- describeStudioLifecycleConfigResponse_lastModifiedTime :: Lens' DescribeStudioLifecycleConfigResponse (Maybe UTCTime)
- describeStudioLifecycleConfigResponse_studioLifecycleConfigAppType :: Lens' DescribeStudioLifecycleConfigResponse (Maybe StudioLifecycleConfigAppType)
- describeStudioLifecycleConfigResponse_studioLifecycleConfigArn :: Lens' DescribeStudioLifecycleConfigResponse (Maybe Text)
- describeStudioLifecycleConfigResponse_studioLifecycleConfigContent :: Lens' DescribeStudioLifecycleConfigResponse (Maybe Text)
- describeStudioLifecycleConfigResponse_studioLifecycleConfigName :: Lens' DescribeStudioLifecycleConfigResponse (Maybe Text)
- describeStudioLifecycleConfigResponse_httpStatus :: Lens' DescribeStudioLifecycleConfigResponse Int
- describeSubscribedWorkteam_workteamArn :: Lens' DescribeSubscribedWorkteam Text
- describeSubscribedWorkteamResponse_httpStatus :: Lens' DescribeSubscribedWorkteamResponse Int
- describeSubscribedWorkteamResponse_subscribedWorkteam :: Lens' DescribeSubscribedWorkteamResponse SubscribedWorkteam
- describeTrainingJob_trainingJobName :: Lens' DescribeTrainingJob Text
- describeTrainingJobResponse_autoMLJobArn :: Lens' DescribeTrainingJobResponse (Maybe Text)
- describeTrainingJobResponse_billableTimeInSeconds :: Lens' DescribeTrainingJobResponse (Maybe Natural)
- describeTrainingJobResponse_checkpointConfig :: Lens' DescribeTrainingJobResponse (Maybe CheckpointConfig)
- describeTrainingJobResponse_debugHookConfig :: Lens' DescribeTrainingJobResponse (Maybe DebugHookConfig)
- describeTrainingJobResponse_debugRuleConfigurations :: Lens' DescribeTrainingJobResponse (Maybe [DebugRuleConfiguration])
- describeTrainingJobResponse_debugRuleEvaluationStatuses :: Lens' DescribeTrainingJobResponse (Maybe [DebugRuleEvaluationStatus])
- describeTrainingJobResponse_enableInterContainerTrafficEncryption :: Lens' DescribeTrainingJobResponse (Maybe Bool)
- describeTrainingJobResponse_enableManagedSpotTraining :: Lens' DescribeTrainingJobResponse (Maybe Bool)
- describeTrainingJobResponse_enableNetworkIsolation :: Lens' DescribeTrainingJobResponse (Maybe Bool)
- describeTrainingJobResponse_environment :: Lens' DescribeTrainingJobResponse (Maybe (HashMap Text Text))
- describeTrainingJobResponse_experimentConfig :: Lens' DescribeTrainingJobResponse (Maybe ExperimentConfig)
- describeTrainingJobResponse_failureReason :: Lens' DescribeTrainingJobResponse (Maybe Text)
- describeTrainingJobResponse_finalMetricDataList :: Lens' DescribeTrainingJobResponse (Maybe [MetricData])
- describeTrainingJobResponse_hyperParameters :: Lens' DescribeTrainingJobResponse (Maybe (HashMap Text Text))
- describeTrainingJobResponse_inputDataConfig :: Lens' DescribeTrainingJobResponse (Maybe (NonEmpty Channel))
- describeTrainingJobResponse_labelingJobArn :: Lens' DescribeTrainingJobResponse (Maybe Text)
- describeTrainingJobResponse_lastModifiedTime :: Lens' DescribeTrainingJobResponse (Maybe UTCTime)
- describeTrainingJobResponse_outputDataConfig :: Lens' DescribeTrainingJobResponse (Maybe OutputDataConfig)
- describeTrainingJobResponse_profilerConfig :: Lens' DescribeTrainingJobResponse (Maybe ProfilerConfig)
- describeTrainingJobResponse_profilerRuleConfigurations :: Lens' DescribeTrainingJobResponse (Maybe [ProfilerRuleConfiguration])
- describeTrainingJobResponse_profilerRuleEvaluationStatuses :: Lens' DescribeTrainingJobResponse (Maybe [ProfilerRuleEvaluationStatus])
- describeTrainingJobResponse_profilingStatus :: Lens' DescribeTrainingJobResponse (Maybe ProfilingStatus)
- describeTrainingJobResponse_retryStrategy :: Lens' DescribeTrainingJobResponse (Maybe RetryStrategy)
- describeTrainingJobResponse_roleArn :: Lens' DescribeTrainingJobResponse (Maybe Text)
- describeTrainingJobResponse_secondaryStatusTransitions :: Lens' DescribeTrainingJobResponse (Maybe [SecondaryStatusTransition])
- describeTrainingJobResponse_tensorBoardOutputConfig :: Lens' DescribeTrainingJobResponse (Maybe TensorBoardOutputConfig)
- describeTrainingJobResponse_trainingEndTime :: Lens' DescribeTrainingJobResponse (Maybe UTCTime)
- describeTrainingJobResponse_trainingStartTime :: Lens' DescribeTrainingJobResponse (Maybe UTCTime)
- describeTrainingJobResponse_trainingTimeInSeconds :: Lens' DescribeTrainingJobResponse (Maybe Natural)
- describeTrainingJobResponse_tuningJobArn :: Lens' DescribeTrainingJobResponse (Maybe Text)
- describeTrainingJobResponse_vpcConfig :: Lens' DescribeTrainingJobResponse (Maybe VpcConfig)
- describeTrainingJobResponse_warmPoolStatus :: Lens' DescribeTrainingJobResponse (Maybe WarmPoolStatus)
- describeTrainingJobResponse_httpStatus :: Lens' DescribeTrainingJobResponse Int
- describeTrainingJobResponse_trainingJobName :: Lens' DescribeTrainingJobResponse Text
- describeTrainingJobResponse_trainingJobArn :: Lens' DescribeTrainingJobResponse Text
- describeTrainingJobResponse_modelArtifacts :: Lens' DescribeTrainingJobResponse ModelArtifacts
- describeTrainingJobResponse_trainingJobStatus :: Lens' DescribeTrainingJobResponse TrainingJobStatus
- describeTrainingJobResponse_secondaryStatus :: Lens' DescribeTrainingJobResponse SecondaryStatus
- describeTrainingJobResponse_algorithmSpecification :: Lens' DescribeTrainingJobResponse AlgorithmSpecification
- describeTrainingJobResponse_resourceConfig :: Lens' DescribeTrainingJobResponse ResourceConfig
- describeTrainingJobResponse_stoppingCondition :: Lens' DescribeTrainingJobResponse StoppingCondition
- describeTrainingJobResponse_creationTime :: Lens' DescribeTrainingJobResponse UTCTime
- describeTransformJob_transformJobName :: Lens' DescribeTransformJob Text
- describeTransformJobResponse_autoMLJobArn :: Lens' DescribeTransformJobResponse (Maybe Text)
- describeTransformJobResponse_batchStrategy :: Lens' DescribeTransformJobResponse (Maybe BatchStrategy)
- describeTransformJobResponse_dataCaptureConfig :: Lens' DescribeTransformJobResponse (Maybe BatchDataCaptureConfig)
- describeTransformJobResponse_dataProcessing :: Lens' DescribeTransformJobResponse (Maybe DataProcessing)
- describeTransformJobResponse_environment :: Lens' DescribeTransformJobResponse (Maybe (HashMap Text Text))
- describeTransformJobResponse_experimentConfig :: Lens' DescribeTransformJobResponse (Maybe ExperimentConfig)
- describeTransformJobResponse_failureReason :: Lens' DescribeTransformJobResponse (Maybe Text)
- describeTransformJobResponse_labelingJobArn :: Lens' DescribeTransformJobResponse (Maybe Text)
- describeTransformJobResponse_maxConcurrentTransforms :: Lens' DescribeTransformJobResponse (Maybe Natural)
- describeTransformJobResponse_maxPayloadInMB :: Lens' DescribeTransformJobResponse (Maybe Natural)
- describeTransformJobResponse_modelClientConfig :: Lens' DescribeTransformJobResponse (Maybe ModelClientConfig)
- describeTransformJobResponse_transformEndTime :: Lens' DescribeTransformJobResponse (Maybe UTCTime)
- describeTransformJobResponse_transformOutput :: Lens' DescribeTransformJobResponse (Maybe TransformOutput)
- describeTransformJobResponse_transformStartTime :: Lens' DescribeTransformJobResponse (Maybe UTCTime)
- describeTransformJobResponse_httpStatus :: Lens' DescribeTransformJobResponse Int
- describeTransformJobResponse_transformJobName :: Lens' DescribeTransformJobResponse Text
- describeTransformJobResponse_transformJobArn :: Lens' DescribeTransformJobResponse Text
- describeTransformJobResponse_transformJobStatus :: Lens' DescribeTransformJobResponse TransformJobStatus
- describeTransformJobResponse_modelName :: Lens' DescribeTransformJobResponse Text
- describeTransformJobResponse_transformInput :: Lens' DescribeTransformJobResponse TransformInput
- describeTransformJobResponse_transformResources :: Lens' DescribeTransformJobResponse TransformResources
- describeTransformJobResponse_creationTime :: Lens' DescribeTransformJobResponse UTCTime
- describeTrial_trialName :: Lens' DescribeTrial Text
- describeTrialResponse_createdBy :: Lens' DescribeTrialResponse (Maybe UserContext)
- describeTrialResponse_creationTime :: Lens' DescribeTrialResponse (Maybe UTCTime)
- describeTrialResponse_displayName :: Lens' DescribeTrialResponse (Maybe Text)
- describeTrialResponse_experimentName :: Lens' DescribeTrialResponse (Maybe Text)
- describeTrialResponse_lastModifiedBy :: Lens' DescribeTrialResponse (Maybe UserContext)
- describeTrialResponse_lastModifiedTime :: Lens' DescribeTrialResponse (Maybe UTCTime)
- describeTrialResponse_metadataProperties :: Lens' DescribeTrialResponse (Maybe MetadataProperties)
- describeTrialResponse_source :: Lens' DescribeTrialResponse (Maybe TrialSource)
- describeTrialResponse_trialArn :: Lens' DescribeTrialResponse (Maybe Text)
- describeTrialResponse_trialName :: Lens' DescribeTrialResponse (Maybe Text)
- describeTrialResponse_httpStatus :: Lens' DescribeTrialResponse Int
- describeTrialComponent_trialComponentName :: Lens' DescribeTrialComponent Text
- describeTrialComponentResponse_createdBy :: Lens' DescribeTrialComponentResponse (Maybe UserContext)
- describeTrialComponentResponse_creationTime :: Lens' DescribeTrialComponentResponse (Maybe UTCTime)
- describeTrialComponentResponse_displayName :: Lens' DescribeTrialComponentResponse (Maybe Text)
- describeTrialComponentResponse_endTime :: Lens' DescribeTrialComponentResponse (Maybe UTCTime)
- describeTrialComponentResponse_inputArtifacts :: Lens' DescribeTrialComponentResponse (Maybe (HashMap Text TrialComponentArtifact))
- describeTrialComponentResponse_lastModifiedBy :: Lens' DescribeTrialComponentResponse (Maybe UserContext)
- describeTrialComponentResponse_lastModifiedTime :: Lens' DescribeTrialComponentResponse (Maybe UTCTime)
- describeTrialComponentResponse_lineageGroupArn :: Lens' DescribeTrialComponentResponse (Maybe Text)
- describeTrialComponentResponse_metadataProperties :: Lens' DescribeTrialComponentResponse (Maybe MetadataProperties)
- describeTrialComponentResponse_metrics :: Lens' DescribeTrialComponentResponse (Maybe [TrialComponentMetricSummary])
- describeTrialComponentResponse_outputArtifacts :: Lens' DescribeTrialComponentResponse (Maybe (HashMap Text TrialComponentArtifact))
- describeTrialComponentResponse_parameters :: Lens' DescribeTrialComponentResponse (Maybe (HashMap Text TrialComponentParameterValue))
- describeTrialComponentResponse_source :: Lens' DescribeTrialComponentResponse (Maybe TrialComponentSource)
- describeTrialComponentResponse_sources :: Lens' DescribeTrialComponentResponse (Maybe [TrialComponentSource])
- describeTrialComponentResponse_startTime :: Lens' DescribeTrialComponentResponse (Maybe UTCTime)
- describeTrialComponentResponse_status :: Lens' DescribeTrialComponentResponse (Maybe TrialComponentStatus)
- describeTrialComponentResponse_trialComponentArn :: Lens' DescribeTrialComponentResponse (Maybe Text)
- describeTrialComponentResponse_trialComponentName :: Lens' DescribeTrialComponentResponse (Maybe Text)
- describeTrialComponentResponse_httpStatus :: Lens' DescribeTrialComponentResponse Int
- describeUserProfile_domainId :: Lens' DescribeUserProfile Text
- describeUserProfile_userProfileName :: Lens' DescribeUserProfile Text
- describeUserProfileResponse_creationTime :: Lens' DescribeUserProfileResponse (Maybe UTCTime)
- describeUserProfileResponse_domainId :: Lens' DescribeUserProfileResponse (Maybe Text)
- describeUserProfileResponse_failureReason :: Lens' DescribeUserProfileResponse (Maybe Text)
- describeUserProfileResponse_homeEfsFileSystemUid :: Lens' DescribeUserProfileResponse (Maybe Text)
- describeUserProfileResponse_lastModifiedTime :: Lens' DescribeUserProfileResponse (Maybe UTCTime)
- describeUserProfileResponse_singleSignOnUserIdentifier :: Lens' DescribeUserProfileResponse (Maybe Text)
- describeUserProfileResponse_singleSignOnUserValue :: Lens' DescribeUserProfileResponse (Maybe Text)
- describeUserProfileResponse_status :: Lens' DescribeUserProfileResponse (Maybe UserProfileStatus)
- describeUserProfileResponse_userProfileArn :: Lens' DescribeUserProfileResponse (Maybe Text)
- describeUserProfileResponse_userProfileName :: Lens' DescribeUserProfileResponse (Maybe Text)
- describeUserProfileResponse_userSettings :: Lens' DescribeUserProfileResponse (Maybe UserSettings)
- describeUserProfileResponse_httpStatus :: Lens' DescribeUserProfileResponse Int
- describeWorkforce_workforceName :: Lens' DescribeWorkforce Text
- describeWorkforceResponse_httpStatus :: Lens' DescribeWorkforceResponse Int
- describeWorkforceResponse_workforce :: Lens' DescribeWorkforceResponse Workforce
- describeWorkteam_workteamName :: Lens' DescribeWorkteam Text
- describeWorkteamResponse_httpStatus :: Lens' DescribeWorkteamResponse Int
- describeWorkteamResponse_workteam :: Lens' DescribeWorkteamResponse Workteam
- disableSagemakerServicecatalogPortfolioResponse_httpStatus :: Lens' DisableSagemakerServicecatalogPortfolioResponse Int
- disassociateTrialComponent_trialComponentName :: Lens' DisassociateTrialComponent Text
- disassociateTrialComponent_trialName :: Lens' DisassociateTrialComponent Text
- disassociateTrialComponentResponse_trialArn :: Lens' DisassociateTrialComponentResponse (Maybe Text)
- disassociateTrialComponentResponse_trialComponentArn :: Lens' DisassociateTrialComponentResponse (Maybe Text)
- disassociateTrialComponentResponse_httpStatus :: Lens' DisassociateTrialComponentResponse Int
- enableSagemakerServicecatalogPortfolioResponse_httpStatus :: Lens' EnableSagemakerServicecatalogPortfolioResponse Int
- getDeviceFleetReport_deviceFleetName :: Lens' GetDeviceFleetReport Text
- getDeviceFleetReportResponse_agentVersions :: Lens' GetDeviceFleetReportResponse (Maybe [AgentVersion])
- getDeviceFleetReportResponse_description :: Lens' GetDeviceFleetReportResponse (Maybe Text)
- getDeviceFleetReportResponse_deviceStats :: Lens' GetDeviceFleetReportResponse (Maybe DeviceStats)
- getDeviceFleetReportResponse_modelStats :: Lens' GetDeviceFleetReportResponse (Maybe [EdgeModelStat])
- getDeviceFleetReportResponse_outputConfig :: Lens' GetDeviceFleetReportResponse (Maybe EdgeOutputConfig)
- getDeviceFleetReportResponse_reportGenerated :: Lens' GetDeviceFleetReportResponse (Maybe UTCTime)
- getDeviceFleetReportResponse_httpStatus :: Lens' GetDeviceFleetReportResponse Int
- getDeviceFleetReportResponse_deviceFleetArn :: Lens' GetDeviceFleetReportResponse Text
- getDeviceFleetReportResponse_deviceFleetName :: Lens' GetDeviceFleetReportResponse Text
- getLineageGroupPolicy_lineageGroupName :: Lens' GetLineageGroupPolicy Text
- getLineageGroupPolicyResponse_lineageGroupArn :: Lens' GetLineageGroupPolicyResponse (Maybe Text)
- getLineageGroupPolicyResponse_resourcePolicy :: Lens' GetLineageGroupPolicyResponse (Maybe Text)
- getLineageGroupPolicyResponse_httpStatus :: Lens' GetLineageGroupPolicyResponse Int
- getModelPackageGroupPolicy_modelPackageGroupName :: Lens' GetModelPackageGroupPolicy Text
- getModelPackageGroupPolicyResponse_httpStatus :: Lens' GetModelPackageGroupPolicyResponse Int
- getModelPackageGroupPolicyResponse_resourcePolicy :: Lens' GetModelPackageGroupPolicyResponse Text
- getSagemakerServicecatalogPortfolioStatusResponse_status :: Lens' GetSagemakerServicecatalogPortfolioStatusResponse (Maybe SagemakerServicecatalogStatus)
- getSagemakerServicecatalogPortfolioStatusResponse_httpStatus :: Lens' GetSagemakerServicecatalogPortfolioStatusResponse Int
- getSearchSuggestions_suggestionQuery :: Lens' GetSearchSuggestions (Maybe SuggestionQuery)
- getSearchSuggestions_resource :: Lens' GetSearchSuggestions ResourceType
- getSearchSuggestionsResponse_propertyNameSuggestions :: Lens' GetSearchSuggestionsResponse (Maybe [PropertyNameSuggestion])
- getSearchSuggestionsResponse_httpStatus :: Lens' GetSearchSuggestionsResponse Int
- importHubContent_hubContentDescription :: Lens' ImportHubContent (Maybe Text)
- importHubContent_hubContentDisplayName :: Lens' ImportHubContent (Maybe Text)
- importHubContent_hubContentMarkdown :: Lens' ImportHubContent (Maybe Text)
- importHubContent_hubContentSearchKeywords :: Lens' ImportHubContent (Maybe [Text])
- importHubContent_hubContentVersion :: Lens' ImportHubContent (Maybe Text)
- importHubContent_tags :: Lens' ImportHubContent (Maybe [Tag])
- importHubContent_hubContentName :: Lens' ImportHubContent Text
- importHubContent_hubContentType :: Lens' ImportHubContent HubContentType
- importHubContent_documentSchemaVersion :: Lens' ImportHubContent Text
- importHubContent_hubName :: Lens' ImportHubContent Text
- importHubContent_hubContentDocument :: Lens' ImportHubContent Text
- importHubContentResponse_httpStatus :: Lens' ImportHubContentResponse Int
- importHubContentResponse_hubArn :: Lens' ImportHubContentResponse Text
- importHubContentResponse_hubContentArn :: Lens' ImportHubContentResponse Text
- listActions_actionType :: Lens' ListActions (Maybe Text)
- listActions_createdAfter :: Lens' ListActions (Maybe UTCTime)
- listActions_createdBefore :: Lens' ListActions (Maybe UTCTime)
- listActions_maxResults :: Lens' ListActions (Maybe Natural)
- listActions_nextToken :: Lens' ListActions (Maybe Text)
- listActions_sortBy :: Lens' ListActions (Maybe SortActionsBy)
- listActions_sortOrder :: Lens' ListActions (Maybe SortOrder)
- listActions_sourceUri :: Lens' ListActions (Maybe Text)
- listActionsResponse_actionSummaries :: Lens' ListActionsResponse (Maybe [ActionSummary])
- listActionsResponse_nextToken :: Lens' ListActionsResponse (Maybe Text)
- listActionsResponse_httpStatus :: Lens' ListActionsResponse Int
- listAlgorithms_creationTimeAfter :: Lens' ListAlgorithms (Maybe UTCTime)
- listAlgorithms_creationTimeBefore :: Lens' ListAlgorithms (Maybe UTCTime)
- listAlgorithms_maxResults :: Lens' ListAlgorithms (Maybe Natural)
- listAlgorithms_nameContains :: Lens' ListAlgorithms (Maybe Text)
- listAlgorithms_nextToken :: Lens' ListAlgorithms (Maybe Text)
- listAlgorithms_sortBy :: Lens' ListAlgorithms (Maybe AlgorithmSortBy)
- listAlgorithms_sortOrder :: Lens' ListAlgorithms (Maybe SortOrder)
- listAlgorithmsResponse_nextToken :: Lens' ListAlgorithmsResponse (Maybe Text)
- listAlgorithmsResponse_httpStatus :: Lens' ListAlgorithmsResponse Int
- listAlgorithmsResponse_algorithmSummaryList :: Lens' ListAlgorithmsResponse [AlgorithmSummary]
- listAliases_alias :: Lens' ListAliases (Maybe Text)
- listAliases_maxResults :: Lens' ListAliases (Maybe Natural)
- listAliases_nextToken :: Lens' ListAliases (Maybe Text)
- listAliases_version :: Lens' ListAliases (Maybe Natural)
- listAliases_imageName :: Lens' ListAliases Text
- listAliasesResponse_nextToken :: Lens' ListAliasesResponse (Maybe Text)
- listAliasesResponse_sageMakerImageVersionAliases :: Lens' ListAliasesResponse (Maybe [Text])
- listAliasesResponse_httpStatus :: Lens' ListAliasesResponse Int
- listAppImageConfigs_creationTimeAfter :: Lens' ListAppImageConfigs (Maybe UTCTime)
- listAppImageConfigs_creationTimeBefore :: Lens' ListAppImageConfigs (Maybe UTCTime)
- listAppImageConfigs_maxResults :: Lens' ListAppImageConfigs (Maybe Natural)
- listAppImageConfigs_modifiedTimeAfter :: Lens' ListAppImageConfigs (Maybe UTCTime)
- listAppImageConfigs_modifiedTimeBefore :: Lens' ListAppImageConfigs (Maybe UTCTime)
- listAppImageConfigs_nameContains :: Lens' ListAppImageConfigs (Maybe Text)
- listAppImageConfigs_nextToken :: Lens' ListAppImageConfigs (Maybe Text)
- listAppImageConfigs_sortBy :: Lens' ListAppImageConfigs (Maybe AppImageConfigSortKey)
- listAppImageConfigs_sortOrder :: Lens' ListAppImageConfigs (Maybe SortOrder)
- listAppImageConfigsResponse_appImageConfigs :: Lens' ListAppImageConfigsResponse (Maybe [AppImageConfigDetails])
- listAppImageConfigsResponse_nextToken :: Lens' ListAppImageConfigsResponse (Maybe Text)
- listAppImageConfigsResponse_httpStatus :: Lens' ListAppImageConfigsResponse Int
- listApps_domainIdEquals :: Lens' ListApps (Maybe Text)
- listApps_maxResults :: Lens' ListApps (Maybe Natural)
- listApps_nextToken :: Lens' ListApps (Maybe Text)
- listApps_sortBy :: Lens' ListApps (Maybe AppSortKey)
- listApps_sortOrder :: Lens' ListApps (Maybe SortOrder)
- listApps_spaceNameEquals :: Lens' ListApps (Maybe Text)
- listApps_userProfileNameEquals :: Lens' ListApps (Maybe Text)
- listAppsResponse_apps :: Lens' ListAppsResponse (Maybe [AppDetails])
- listAppsResponse_nextToken :: Lens' ListAppsResponse (Maybe Text)
- listAppsResponse_httpStatus :: Lens' ListAppsResponse Int
- listArtifacts_artifactType :: Lens' ListArtifacts (Maybe Text)
- listArtifacts_createdAfter :: Lens' ListArtifacts (Maybe UTCTime)
- listArtifacts_createdBefore :: Lens' ListArtifacts (Maybe UTCTime)
- listArtifacts_maxResults :: Lens' ListArtifacts (Maybe Natural)
- listArtifacts_nextToken :: Lens' ListArtifacts (Maybe Text)
- listArtifacts_sortBy :: Lens' ListArtifacts (Maybe SortArtifactsBy)
- listArtifacts_sortOrder :: Lens' ListArtifacts (Maybe SortOrder)
- listArtifacts_sourceUri :: Lens' ListArtifacts (Maybe Text)
- listArtifactsResponse_artifactSummaries :: Lens' ListArtifactsResponse (Maybe [ArtifactSummary])
- listArtifactsResponse_nextToken :: Lens' ListArtifactsResponse (Maybe Text)
- listArtifactsResponse_httpStatus :: Lens' ListArtifactsResponse Int
- listAssociations_associationType :: Lens' ListAssociations (Maybe AssociationEdgeType)
- listAssociations_createdAfter :: Lens' ListAssociations (Maybe UTCTime)
- listAssociations_createdBefore :: Lens' ListAssociations (Maybe UTCTime)
- listAssociations_destinationArn :: Lens' ListAssociations (Maybe Text)
- listAssociations_destinationType :: Lens' ListAssociations (Maybe Text)
- listAssociations_maxResults :: Lens' ListAssociations (Maybe Natural)
- listAssociations_nextToken :: Lens' ListAssociations (Maybe Text)
- listAssociations_sortBy :: Lens' ListAssociations (Maybe SortAssociationsBy)
- listAssociations_sortOrder :: Lens' ListAssociations (Maybe SortOrder)
- listAssociations_sourceArn :: Lens' ListAssociations (Maybe Text)
- listAssociations_sourceType :: Lens' ListAssociations (Maybe Text)
- listAssociationsResponse_associationSummaries :: Lens' ListAssociationsResponse (Maybe [AssociationSummary])
- listAssociationsResponse_nextToken :: Lens' ListAssociationsResponse (Maybe Text)
- listAssociationsResponse_httpStatus :: Lens' ListAssociationsResponse Int
- listAutoMLJobs_creationTimeAfter :: Lens' ListAutoMLJobs (Maybe UTCTime)
- listAutoMLJobs_creationTimeBefore :: Lens' ListAutoMLJobs (Maybe UTCTime)
- listAutoMLJobs_lastModifiedTimeAfter :: Lens' ListAutoMLJobs (Maybe UTCTime)
- listAutoMLJobs_lastModifiedTimeBefore :: Lens' ListAutoMLJobs (Maybe UTCTime)
- listAutoMLJobs_maxResults :: Lens' ListAutoMLJobs (Maybe Natural)
- listAutoMLJobs_nameContains :: Lens' ListAutoMLJobs (Maybe Text)
- listAutoMLJobs_nextToken :: Lens' ListAutoMLJobs (Maybe Text)
- listAutoMLJobs_sortBy :: Lens' ListAutoMLJobs (Maybe AutoMLSortBy)
- listAutoMLJobs_sortOrder :: Lens' ListAutoMLJobs (Maybe AutoMLSortOrder)
- listAutoMLJobs_statusEquals :: Lens' ListAutoMLJobs (Maybe AutoMLJobStatus)
- listAutoMLJobsResponse_nextToken :: Lens' ListAutoMLJobsResponse (Maybe Text)
- listAutoMLJobsResponse_httpStatus :: Lens' ListAutoMLJobsResponse Int
- listAutoMLJobsResponse_autoMLJobSummaries :: Lens' ListAutoMLJobsResponse [AutoMLJobSummary]
- listCandidatesForAutoMLJob_candidateNameEquals :: Lens' ListCandidatesForAutoMLJob (Maybe Text)
- listCandidatesForAutoMLJob_maxResults :: Lens' ListCandidatesForAutoMLJob (Maybe Natural)
- listCandidatesForAutoMLJob_nextToken :: Lens' ListCandidatesForAutoMLJob (Maybe Text)
- listCandidatesForAutoMLJob_sortBy :: Lens' ListCandidatesForAutoMLJob (Maybe CandidateSortBy)
- listCandidatesForAutoMLJob_sortOrder :: Lens' ListCandidatesForAutoMLJob (Maybe AutoMLSortOrder)
- listCandidatesForAutoMLJob_statusEquals :: Lens' ListCandidatesForAutoMLJob (Maybe CandidateStatus)
- listCandidatesForAutoMLJob_autoMLJobName :: Lens' ListCandidatesForAutoMLJob Text
- listCandidatesForAutoMLJobResponse_nextToken :: Lens' ListCandidatesForAutoMLJobResponse (Maybe Text)
- listCandidatesForAutoMLJobResponse_httpStatus :: Lens' ListCandidatesForAutoMLJobResponse Int
- listCandidatesForAutoMLJobResponse_candidates :: Lens' ListCandidatesForAutoMLJobResponse [AutoMLCandidate]
- listCodeRepositories_creationTimeAfter :: Lens' ListCodeRepositories (Maybe UTCTime)
- listCodeRepositories_creationTimeBefore :: Lens' ListCodeRepositories (Maybe UTCTime)
- listCodeRepositories_lastModifiedTimeAfter :: Lens' ListCodeRepositories (Maybe UTCTime)
- listCodeRepositories_lastModifiedTimeBefore :: Lens' ListCodeRepositories (Maybe UTCTime)
- listCodeRepositories_maxResults :: Lens' ListCodeRepositories (Maybe Natural)
- listCodeRepositories_nameContains :: Lens' ListCodeRepositories (Maybe Text)
- listCodeRepositories_nextToken :: Lens' ListCodeRepositories (Maybe Text)
- listCodeRepositories_sortBy :: Lens' ListCodeRepositories (Maybe CodeRepositorySortBy)
- listCodeRepositories_sortOrder :: Lens' ListCodeRepositories (Maybe CodeRepositorySortOrder)
- listCodeRepositoriesResponse_nextToken :: Lens' ListCodeRepositoriesResponse (Maybe Text)
- listCodeRepositoriesResponse_httpStatus :: Lens' ListCodeRepositoriesResponse Int
- listCodeRepositoriesResponse_codeRepositorySummaryList :: Lens' ListCodeRepositoriesResponse [CodeRepositorySummary]
- listCompilationJobs_creationTimeAfter :: Lens' ListCompilationJobs (Maybe UTCTime)
- listCompilationJobs_creationTimeBefore :: Lens' ListCompilationJobs (Maybe UTCTime)
- listCompilationJobs_lastModifiedTimeAfter :: Lens' ListCompilationJobs (Maybe UTCTime)
- listCompilationJobs_lastModifiedTimeBefore :: Lens' ListCompilationJobs (Maybe UTCTime)
- listCompilationJobs_maxResults :: Lens' ListCompilationJobs (Maybe Natural)
- listCompilationJobs_nameContains :: Lens' ListCompilationJobs (Maybe Text)
- listCompilationJobs_nextToken :: Lens' ListCompilationJobs (Maybe Text)
- listCompilationJobs_sortBy :: Lens' ListCompilationJobs (Maybe ListCompilationJobsSortBy)
- listCompilationJobs_sortOrder :: Lens' ListCompilationJobs (Maybe SortOrder)
- listCompilationJobs_statusEquals :: Lens' ListCompilationJobs (Maybe CompilationJobStatus)
- listCompilationJobsResponse_nextToken :: Lens' ListCompilationJobsResponse (Maybe Text)
- listCompilationJobsResponse_httpStatus :: Lens' ListCompilationJobsResponse Int
- listCompilationJobsResponse_compilationJobSummaries :: Lens' ListCompilationJobsResponse [CompilationJobSummary]
- listContexts_contextType :: Lens' ListContexts (Maybe Text)
- listContexts_createdAfter :: Lens' ListContexts (Maybe UTCTime)
- listContexts_createdBefore :: Lens' ListContexts (Maybe UTCTime)
- listContexts_maxResults :: Lens' ListContexts (Maybe Natural)
- listContexts_nextToken :: Lens' ListContexts (Maybe Text)
- listContexts_sortBy :: Lens' ListContexts (Maybe SortContextsBy)
- listContexts_sortOrder :: Lens' ListContexts (Maybe SortOrder)
- listContexts_sourceUri :: Lens' ListContexts (Maybe Text)
- listContextsResponse_contextSummaries :: Lens' ListContextsResponse (Maybe [ContextSummary])
- listContextsResponse_nextToken :: Lens' ListContextsResponse (Maybe Text)
- listContextsResponse_httpStatus :: Lens' ListContextsResponse Int
- listDataQualityJobDefinitions_creationTimeAfter :: Lens' ListDataQualityJobDefinitions (Maybe UTCTime)
- listDataQualityJobDefinitions_creationTimeBefore :: Lens' ListDataQualityJobDefinitions (Maybe UTCTime)
- listDataQualityJobDefinitions_endpointName :: Lens' ListDataQualityJobDefinitions (Maybe Text)
- listDataQualityJobDefinitions_maxResults :: Lens' ListDataQualityJobDefinitions (Maybe Natural)
- listDataQualityJobDefinitions_nameContains :: Lens' ListDataQualityJobDefinitions (Maybe Text)
- listDataQualityJobDefinitions_nextToken :: Lens' ListDataQualityJobDefinitions (Maybe Text)
- listDataQualityJobDefinitions_sortBy :: Lens' ListDataQualityJobDefinitions (Maybe MonitoringJobDefinitionSortKey)
- listDataQualityJobDefinitions_sortOrder :: Lens' ListDataQualityJobDefinitions (Maybe SortOrder)
- listDataQualityJobDefinitionsResponse_nextToken :: Lens' ListDataQualityJobDefinitionsResponse (Maybe Text)
- listDataQualityJobDefinitionsResponse_httpStatus :: Lens' ListDataQualityJobDefinitionsResponse Int
- listDataQualityJobDefinitionsResponse_jobDefinitionSummaries :: Lens' ListDataQualityJobDefinitionsResponse [MonitoringJobDefinitionSummary]
- listDeviceFleets_creationTimeAfter :: Lens' ListDeviceFleets (Maybe UTCTime)
- listDeviceFleets_creationTimeBefore :: Lens' ListDeviceFleets (Maybe UTCTime)
- listDeviceFleets_lastModifiedTimeAfter :: Lens' ListDeviceFleets (Maybe UTCTime)
- listDeviceFleets_lastModifiedTimeBefore :: Lens' ListDeviceFleets (Maybe UTCTime)
- listDeviceFleets_maxResults :: Lens' ListDeviceFleets (Maybe Int)
- listDeviceFleets_nameContains :: Lens' ListDeviceFleets (Maybe Text)
- listDeviceFleets_nextToken :: Lens' ListDeviceFleets (Maybe Text)
- listDeviceFleets_sortBy :: Lens' ListDeviceFleets (Maybe ListDeviceFleetsSortBy)
- listDeviceFleets_sortOrder :: Lens' ListDeviceFleets (Maybe SortOrder)
- listDeviceFleetsResponse_nextToken :: Lens' ListDeviceFleetsResponse (Maybe Text)
- listDeviceFleetsResponse_httpStatus :: Lens' ListDeviceFleetsResponse Int
- listDeviceFleetsResponse_deviceFleetSummaries :: Lens' ListDeviceFleetsResponse [DeviceFleetSummary]
- listDevices_deviceFleetName :: Lens' ListDevices (Maybe Text)
- listDevices_latestHeartbeatAfter :: Lens' ListDevices (Maybe UTCTime)
- listDevices_maxResults :: Lens' ListDevices (Maybe Int)
- listDevices_modelName :: Lens' ListDevices (Maybe Text)
- listDevices_nextToken :: Lens' ListDevices (Maybe Text)
- listDevicesResponse_nextToken :: Lens' ListDevicesResponse (Maybe Text)
- listDevicesResponse_httpStatus :: Lens' ListDevicesResponse Int
- listDevicesResponse_deviceSummaries :: Lens' ListDevicesResponse [DeviceSummary]
- listDomains_maxResults :: Lens' ListDomains (Maybe Natural)
- listDomains_nextToken :: Lens' ListDomains (Maybe Text)
- listDomainsResponse_domains :: Lens' ListDomainsResponse (Maybe [DomainDetails])
- listDomainsResponse_nextToken :: Lens' ListDomainsResponse (Maybe Text)
- listDomainsResponse_httpStatus :: Lens' ListDomainsResponse Int
- listEdgeDeploymentPlans_creationTimeAfter :: Lens' ListEdgeDeploymentPlans (Maybe UTCTime)
- listEdgeDeploymentPlans_creationTimeBefore :: Lens' ListEdgeDeploymentPlans (Maybe UTCTime)
- listEdgeDeploymentPlans_deviceFleetNameContains :: Lens' ListEdgeDeploymentPlans (Maybe Text)
- listEdgeDeploymentPlans_lastModifiedTimeAfter :: Lens' ListEdgeDeploymentPlans (Maybe UTCTime)
- listEdgeDeploymentPlans_lastModifiedTimeBefore :: Lens' ListEdgeDeploymentPlans (Maybe UTCTime)
- listEdgeDeploymentPlans_maxResults :: Lens' ListEdgeDeploymentPlans (Maybe Int)
- listEdgeDeploymentPlans_nameContains :: Lens' ListEdgeDeploymentPlans (Maybe Text)
- listEdgeDeploymentPlans_nextToken :: Lens' ListEdgeDeploymentPlans (Maybe Text)
- listEdgeDeploymentPlans_sortBy :: Lens' ListEdgeDeploymentPlans (Maybe ListEdgeDeploymentPlansSortBy)
- listEdgeDeploymentPlans_sortOrder :: Lens' ListEdgeDeploymentPlans (Maybe SortOrder)
- listEdgeDeploymentPlansResponse_nextToken :: Lens' ListEdgeDeploymentPlansResponse (Maybe Text)
- listEdgeDeploymentPlansResponse_httpStatus :: Lens' ListEdgeDeploymentPlansResponse Int
- listEdgeDeploymentPlansResponse_edgeDeploymentPlanSummaries :: Lens' ListEdgeDeploymentPlansResponse [EdgeDeploymentPlanSummary]
- listEdgePackagingJobs_creationTimeAfter :: Lens' ListEdgePackagingJobs (Maybe UTCTime)
- listEdgePackagingJobs_creationTimeBefore :: Lens' ListEdgePackagingJobs (Maybe UTCTime)
- listEdgePackagingJobs_lastModifiedTimeAfter :: Lens' ListEdgePackagingJobs (Maybe UTCTime)
- listEdgePackagingJobs_lastModifiedTimeBefore :: Lens' ListEdgePackagingJobs (Maybe UTCTime)
- listEdgePackagingJobs_maxResults :: Lens' ListEdgePackagingJobs (Maybe Int)
- listEdgePackagingJobs_modelNameContains :: Lens' ListEdgePackagingJobs (Maybe Text)
- listEdgePackagingJobs_nameContains :: Lens' ListEdgePackagingJobs (Maybe Text)
- listEdgePackagingJobs_nextToken :: Lens' ListEdgePackagingJobs (Maybe Text)
- listEdgePackagingJobs_sortBy :: Lens' ListEdgePackagingJobs (Maybe ListEdgePackagingJobsSortBy)
- listEdgePackagingJobs_sortOrder :: Lens' ListEdgePackagingJobs (Maybe SortOrder)
- listEdgePackagingJobs_statusEquals :: Lens' ListEdgePackagingJobs (Maybe EdgePackagingJobStatus)
- listEdgePackagingJobsResponse_nextToken :: Lens' ListEdgePackagingJobsResponse (Maybe Text)
- listEdgePackagingJobsResponse_httpStatus :: Lens' ListEdgePackagingJobsResponse Int
- listEdgePackagingJobsResponse_edgePackagingJobSummaries :: Lens' ListEdgePackagingJobsResponse [EdgePackagingJobSummary]
- listEndpointConfigs_creationTimeAfter :: Lens' ListEndpointConfigs (Maybe UTCTime)
- listEndpointConfigs_creationTimeBefore :: Lens' ListEndpointConfigs (Maybe UTCTime)
- listEndpointConfigs_maxResults :: Lens' ListEndpointConfigs (Maybe Natural)
- listEndpointConfigs_nameContains :: Lens' ListEndpointConfigs (Maybe Text)
- listEndpointConfigs_nextToken :: Lens' ListEndpointConfigs (Maybe Text)
- listEndpointConfigs_sortBy :: Lens' ListEndpointConfigs (Maybe EndpointConfigSortKey)
- listEndpointConfigs_sortOrder :: Lens' ListEndpointConfigs (Maybe OrderKey)
- listEndpointConfigsResponse_nextToken :: Lens' ListEndpointConfigsResponse (Maybe Text)
- listEndpointConfigsResponse_httpStatus :: Lens' ListEndpointConfigsResponse Int
- listEndpointConfigsResponse_endpointConfigs :: Lens' ListEndpointConfigsResponse [EndpointConfigSummary]
- listEndpoints_creationTimeAfter :: Lens' ListEndpoints (Maybe UTCTime)
- listEndpoints_creationTimeBefore :: Lens' ListEndpoints (Maybe UTCTime)
- listEndpoints_lastModifiedTimeAfter :: Lens' ListEndpoints (Maybe UTCTime)
- listEndpoints_lastModifiedTimeBefore :: Lens' ListEndpoints (Maybe UTCTime)
- listEndpoints_maxResults :: Lens' ListEndpoints (Maybe Natural)
- listEndpoints_nameContains :: Lens' ListEndpoints (Maybe Text)
- listEndpoints_nextToken :: Lens' ListEndpoints (Maybe Text)
- listEndpoints_sortBy :: Lens' ListEndpoints (Maybe EndpointSortKey)
- listEndpoints_sortOrder :: Lens' ListEndpoints (Maybe OrderKey)
- listEndpoints_statusEquals :: Lens' ListEndpoints (Maybe EndpointStatus)
- listEndpointsResponse_nextToken :: Lens' ListEndpointsResponse (Maybe Text)
- listEndpointsResponse_httpStatus :: Lens' ListEndpointsResponse Int
- listEndpointsResponse_endpoints :: Lens' ListEndpointsResponse [EndpointSummary]
- listExperiments_createdAfter :: Lens' ListExperiments (Maybe UTCTime)
- listExperiments_createdBefore :: Lens' ListExperiments (Maybe UTCTime)
- listExperiments_maxResults :: Lens' ListExperiments (Maybe Natural)
- listExperiments_nextToken :: Lens' ListExperiments (Maybe Text)
- listExperiments_sortBy :: Lens' ListExperiments (Maybe SortExperimentsBy)
- listExperiments_sortOrder :: Lens' ListExperiments (Maybe SortOrder)
- listExperimentsResponse_experimentSummaries :: Lens' ListExperimentsResponse (Maybe [ExperimentSummary])
- listExperimentsResponse_nextToken :: Lens' ListExperimentsResponse (Maybe Text)
- listExperimentsResponse_httpStatus :: Lens' ListExperimentsResponse Int
- listFeatureGroups_creationTimeAfter :: Lens' ListFeatureGroups (Maybe UTCTime)
- listFeatureGroups_creationTimeBefore :: Lens' ListFeatureGroups (Maybe UTCTime)
- listFeatureGroups_featureGroupStatusEquals :: Lens' ListFeatureGroups (Maybe FeatureGroupStatus)
- listFeatureGroups_maxResults :: Lens' ListFeatureGroups (Maybe Natural)
- listFeatureGroups_nameContains :: Lens' ListFeatureGroups (Maybe Text)
- listFeatureGroups_nextToken :: Lens' ListFeatureGroups (Maybe Text)
- listFeatureGroups_offlineStoreStatusEquals :: Lens' ListFeatureGroups (Maybe OfflineStoreStatusValue)
- listFeatureGroups_sortBy :: Lens' ListFeatureGroups (Maybe FeatureGroupSortBy)
- listFeatureGroups_sortOrder :: Lens' ListFeatureGroups (Maybe FeatureGroupSortOrder)
- listFeatureGroupsResponse_nextToken :: Lens' ListFeatureGroupsResponse (Maybe Text)
- listFeatureGroupsResponse_httpStatus :: Lens' ListFeatureGroupsResponse Int
- listFeatureGroupsResponse_featureGroupSummaries :: Lens' ListFeatureGroupsResponse [FeatureGroupSummary]
- listFlowDefinitions_creationTimeAfter :: Lens' ListFlowDefinitions (Maybe UTCTime)
- listFlowDefinitions_creationTimeBefore :: Lens' ListFlowDefinitions (Maybe UTCTime)
- listFlowDefinitions_maxResults :: Lens' ListFlowDefinitions (Maybe Natural)
- listFlowDefinitions_nextToken :: Lens' ListFlowDefinitions (Maybe Text)
- listFlowDefinitions_sortOrder :: Lens' ListFlowDefinitions (Maybe SortOrder)
- listFlowDefinitionsResponse_nextToken :: Lens' ListFlowDefinitionsResponse (Maybe Text)
- listFlowDefinitionsResponse_httpStatus :: Lens' ListFlowDefinitionsResponse Int
- listFlowDefinitionsResponse_flowDefinitionSummaries :: Lens' ListFlowDefinitionsResponse [FlowDefinitionSummary]
- listHubContentVersions_creationTimeAfter :: Lens' ListHubContentVersions (Maybe UTCTime)
- listHubContentVersions_creationTimeBefore :: Lens' ListHubContentVersions (Maybe UTCTime)
- listHubContentVersions_maxResults :: Lens' ListHubContentVersions (Maybe Natural)
- listHubContentVersions_maxSchemaVersion :: Lens' ListHubContentVersions (Maybe Text)
- listHubContentVersions_minVersion :: Lens' ListHubContentVersions (Maybe Text)
- listHubContentVersions_nextToken :: Lens' ListHubContentVersions (Maybe Text)
- listHubContentVersions_sortBy :: Lens' ListHubContentVersions (Maybe HubContentSortBy)
- listHubContentVersions_sortOrder :: Lens' ListHubContentVersions (Maybe SortOrder)
- listHubContentVersions_hubName :: Lens' ListHubContentVersions Text
- listHubContentVersions_hubContentType :: Lens' ListHubContentVersions HubContentType
- listHubContentVersions_hubContentName :: Lens' ListHubContentVersions Text
- listHubContentVersionsResponse_nextToken :: Lens' ListHubContentVersionsResponse (Maybe Text)
- listHubContentVersionsResponse_httpStatus :: Lens' ListHubContentVersionsResponse Int
- listHubContentVersionsResponse_hubContentSummaries :: Lens' ListHubContentVersionsResponse [HubContentInfo]
- listHubContents_creationTimeAfter :: Lens' ListHubContents (Maybe UTCTime)
- listHubContents_creationTimeBefore :: Lens' ListHubContents (Maybe UTCTime)
- listHubContents_maxResults :: Lens' ListHubContents (Maybe Natural)
- listHubContents_maxSchemaVersion :: Lens' ListHubContents (Maybe Text)
- listHubContents_nameContains :: Lens' ListHubContents (Maybe Text)
- listHubContents_nextToken :: Lens' ListHubContents (Maybe Text)
- listHubContents_sortBy :: Lens' ListHubContents (Maybe HubContentSortBy)
- listHubContents_sortOrder :: Lens' ListHubContents (Maybe SortOrder)
- listHubContents_hubName :: Lens' ListHubContents Text
- listHubContents_hubContentType :: Lens' ListHubContents HubContentType
- listHubContentsResponse_nextToken :: Lens' ListHubContentsResponse (Maybe Text)
- listHubContentsResponse_httpStatus :: Lens' ListHubContentsResponse Int
- listHubContentsResponse_hubContentSummaries :: Lens' ListHubContentsResponse [HubContentInfo]
- listHubs_creationTimeAfter :: Lens' ListHubs (Maybe UTCTime)
- listHubs_creationTimeBefore :: Lens' ListHubs (Maybe UTCTime)
- listHubs_lastModifiedTimeAfter :: Lens' ListHubs (Maybe UTCTime)
- listHubs_lastModifiedTimeBefore :: Lens' ListHubs (Maybe UTCTime)
- listHubs_maxResults :: Lens' ListHubs (Maybe Natural)
- listHubs_nameContains :: Lens' ListHubs (Maybe Text)
- listHubs_nextToken :: Lens' ListHubs (Maybe Text)
- listHubs_sortBy :: Lens' ListHubs (Maybe HubSortBy)
- listHubs_sortOrder :: Lens' ListHubs (Maybe SortOrder)
- listHubsResponse_nextToken :: Lens' ListHubsResponse (Maybe Text)
- listHubsResponse_httpStatus :: Lens' ListHubsResponse Int
- listHubsResponse_hubSummaries :: Lens' ListHubsResponse [HubInfo]
- listHumanTaskUis_creationTimeAfter :: Lens' ListHumanTaskUis (Maybe UTCTime)
- listHumanTaskUis_creationTimeBefore :: Lens' ListHumanTaskUis (Maybe UTCTime)
- listHumanTaskUis_maxResults :: Lens' ListHumanTaskUis (Maybe Natural)
- listHumanTaskUis_nextToken :: Lens' ListHumanTaskUis (Maybe Text)
- listHumanTaskUis_sortOrder :: Lens' ListHumanTaskUis (Maybe SortOrder)
- listHumanTaskUisResponse_nextToken :: Lens' ListHumanTaskUisResponse (Maybe Text)
- listHumanTaskUisResponse_httpStatus :: Lens' ListHumanTaskUisResponse Int
- listHumanTaskUisResponse_humanTaskUiSummaries :: Lens' ListHumanTaskUisResponse [HumanTaskUiSummary]
- listHyperParameterTuningJobs_creationTimeAfter :: Lens' ListHyperParameterTuningJobs (Maybe UTCTime)
- listHyperParameterTuningJobs_creationTimeBefore :: Lens' ListHyperParameterTuningJobs (Maybe UTCTime)
- listHyperParameterTuningJobs_lastModifiedTimeAfter :: Lens' ListHyperParameterTuningJobs (Maybe UTCTime)
- listHyperParameterTuningJobs_lastModifiedTimeBefore :: Lens' ListHyperParameterTuningJobs (Maybe UTCTime)
- listHyperParameterTuningJobs_maxResults :: Lens' ListHyperParameterTuningJobs (Maybe Natural)
- listHyperParameterTuningJobs_nameContains :: Lens' ListHyperParameterTuningJobs (Maybe Text)
- listHyperParameterTuningJobs_nextToken :: Lens' ListHyperParameterTuningJobs (Maybe Text)
- listHyperParameterTuningJobs_sortBy :: Lens' ListHyperParameterTuningJobs (Maybe HyperParameterTuningJobSortByOptions)
- listHyperParameterTuningJobs_sortOrder :: Lens' ListHyperParameterTuningJobs (Maybe SortOrder)
- listHyperParameterTuningJobs_statusEquals :: Lens' ListHyperParameterTuningJobs (Maybe HyperParameterTuningJobStatus)
- listHyperParameterTuningJobsResponse_nextToken :: Lens' ListHyperParameterTuningJobsResponse (Maybe Text)
- listHyperParameterTuningJobsResponse_httpStatus :: Lens' ListHyperParameterTuningJobsResponse Int
- listHyperParameterTuningJobsResponse_hyperParameterTuningJobSummaries :: Lens' ListHyperParameterTuningJobsResponse [HyperParameterTuningJobSummary]
- listImageVersions_creationTimeAfter :: Lens' ListImageVersions (Maybe UTCTime)
- listImageVersions_creationTimeBefore :: Lens' ListImageVersions (Maybe UTCTime)
- listImageVersions_lastModifiedTimeAfter :: Lens' ListImageVersions (Maybe UTCTime)
- listImageVersions_lastModifiedTimeBefore :: Lens' ListImageVersions (Maybe UTCTime)
- listImageVersions_maxResults :: Lens' ListImageVersions (Maybe Natural)
- listImageVersions_nextToken :: Lens' ListImageVersions (Maybe Text)
- listImageVersions_sortBy :: Lens' ListImageVersions (Maybe ImageVersionSortBy)
- listImageVersions_sortOrder :: Lens' ListImageVersions (Maybe ImageVersionSortOrder)
- listImageVersions_imageName :: Lens' ListImageVersions Text
- listImageVersionsResponse_imageVersions :: Lens' ListImageVersionsResponse (Maybe [ImageVersion])
- listImageVersionsResponse_nextToken :: Lens' ListImageVersionsResponse (Maybe Text)
- listImageVersionsResponse_httpStatus :: Lens' ListImageVersionsResponse Int
- listImages_creationTimeAfter :: Lens' ListImages (Maybe UTCTime)
- listImages_creationTimeBefore :: Lens' ListImages (Maybe UTCTime)
- listImages_lastModifiedTimeAfter :: Lens' ListImages (Maybe UTCTime)
- listImages_lastModifiedTimeBefore :: Lens' ListImages (Maybe UTCTime)
- listImages_maxResults :: Lens' ListImages (Maybe Natural)
- listImages_nameContains :: Lens' ListImages (Maybe Text)
- listImages_nextToken :: Lens' ListImages (Maybe Text)
- listImages_sortBy :: Lens' ListImages (Maybe ImageSortBy)
- listImages_sortOrder :: Lens' ListImages (Maybe ImageSortOrder)
- listImagesResponse_images :: Lens' ListImagesResponse (Maybe [Image])
- listImagesResponse_nextToken :: Lens' ListImagesResponse (Maybe Text)
- listImagesResponse_httpStatus :: Lens' ListImagesResponse Int
- listInferenceExperiments_creationTimeAfter :: Lens' ListInferenceExperiments (Maybe UTCTime)
- listInferenceExperiments_creationTimeBefore :: Lens' ListInferenceExperiments (Maybe UTCTime)
- listInferenceExperiments_lastModifiedTimeAfter :: Lens' ListInferenceExperiments (Maybe UTCTime)
- listInferenceExperiments_lastModifiedTimeBefore :: Lens' ListInferenceExperiments (Maybe UTCTime)
- listInferenceExperiments_maxResults :: Lens' ListInferenceExperiments (Maybe Natural)
- listInferenceExperiments_nameContains :: Lens' ListInferenceExperiments (Maybe Text)
- listInferenceExperiments_nextToken :: Lens' ListInferenceExperiments (Maybe Text)
- listInferenceExperiments_sortBy :: Lens' ListInferenceExperiments (Maybe SortInferenceExperimentsBy)
- listInferenceExperiments_sortOrder :: Lens' ListInferenceExperiments (Maybe SortOrder)
- listInferenceExperiments_statusEquals :: Lens' ListInferenceExperiments (Maybe InferenceExperimentStatus)
- listInferenceExperiments_type :: Lens' ListInferenceExperiments (Maybe InferenceExperimentType)
- listInferenceExperimentsResponse_inferenceExperiments :: Lens' ListInferenceExperimentsResponse (Maybe [InferenceExperimentSummary])
- listInferenceExperimentsResponse_nextToken :: Lens' ListInferenceExperimentsResponse (Maybe Text)
- listInferenceExperimentsResponse_httpStatus :: Lens' ListInferenceExperimentsResponse Int
- listInferenceRecommendationsJobSteps_maxResults :: Lens' ListInferenceRecommendationsJobSteps (Maybe Natural)
- listInferenceRecommendationsJobSteps_nextToken :: Lens' ListInferenceRecommendationsJobSteps (Maybe Text)
- listInferenceRecommendationsJobSteps_status :: Lens' ListInferenceRecommendationsJobSteps (Maybe RecommendationJobStatus)
- listInferenceRecommendationsJobSteps_stepType :: Lens' ListInferenceRecommendationsJobSteps (Maybe RecommendationStepType)
- listInferenceRecommendationsJobSteps_jobName :: Lens' ListInferenceRecommendationsJobSteps Text
- listInferenceRecommendationsJobStepsResponse_nextToken :: Lens' ListInferenceRecommendationsJobStepsResponse (Maybe Text)
- listInferenceRecommendationsJobStepsResponse_steps :: Lens' ListInferenceRecommendationsJobStepsResponse (Maybe [InferenceRecommendationsJobStep])
- listInferenceRecommendationsJobStepsResponse_httpStatus :: Lens' ListInferenceRecommendationsJobStepsResponse Int
- listInferenceRecommendationsJobs_creationTimeAfter :: Lens' ListInferenceRecommendationsJobs (Maybe UTCTime)
- listInferenceRecommendationsJobs_creationTimeBefore :: Lens' ListInferenceRecommendationsJobs (Maybe UTCTime)
- listInferenceRecommendationsJobs_lastModifiedTimeAfter :: Lens' ListInferenceRecommendationsJobs (Maybe UTCTime)
- listInferenceRecommendationsJobs_lastModifiedTimeBefore :: Lens' ListInferenceRecommendationsJobs (Maybe UTCTime)
- listInferenceRecommendationsJobs_maxResults :: Lens' ListInferenceRecommendationsJobs (Maybe Natural)
- listInferenceRecommendationsJobs_nameContains :: Lens' ListInferenceRecommendationsJobs (Maybe Text)
- listInferenceRecommendationsJobs_nextToken :: Lens' ListInferenceRecommendationsJobs (Maybe Text)
- listInferenceRecommendationsJobs_sortBy :: Lens' ListInferenceRecommendationsJobs (Maybe ListInferenceRecommendationsJobsSortBy)
- listInferenceRecommendationsJobs_sortOrder :: Lens' ListInferenceRecommendationsJobs (Maybe SortOrder)
- listInferenceRecommendationsJobs_statusEquals :: Lens' ListInferenceRecommendationsJobs (Maybe RecommendationJobStatus)
- listInferenceRecommendationsJobsResponse_nextToken :: Lens' ListInferenceRecommendationsJobsResponse (Maybe Text)
- listInferenceRecommendationsJobsResponse_httpStatus :: Lens' ListInferenceRecommendationsJobsResponse Int
- listInferenceRecommendationsJobsResponse_inferenceRecommendationsJobs :: Lens' ListInferenceRecommendationsJobsResponse [InferenceRecommendationsJob]
- listLabelingJobs_creationTimeAfter :: Lens' ListLabelingJobs (Maybe UTCTime)
- listLabelingJobs_creationTimeBefore :: Lens' ListLabelingJobs (Maybe UTCTime)
- listLabelingJobs_lastModifiedTimeAfter :: Lens' ListLabelingJobs (Maybe UTCTime)
- listLabelingJobs_lastModifiedTimeBefore :: Lens' ListLabelingJobs (Maybe UTCTime)
- listLabelingJobs_maxResults :: Lens' ListLabelingJobs (Maybe Natural)
- listLabelingJobs_nameContains :: Lens' ListLabelingJobs (Maybe Text)
- listLabelingJobs_nextToken :: Lens' ListLabelingJobs (Maybe Text)
- listLabelingJobs_sortBy :: Lens' ListLabelingJobs (Maybe SortBy)
- listLabelingJobs_sortOrder :: Lens' ListLabelingJobs (Maybe SortOrder)
- listLabelingJobs_statusEquals :: Lens' ListLabelingJobs (Maybe LabelingJobStatus)
- listLabelingJobsResponse_labelingJobSummaryList :: Lens' ListLabelingJobsResponse (Maybe [LabelingJobSummary])
- listLabelingJobsResponse_nextToken :: Lens' ListLabelingJobsResponse (Maybe Text)
- listLabelingJobsResponse_httpStatus :: Lens' ListLabelingJobsResponse Int
- listLabelingJobsForWorkteam_creationTimeAfter :: Lens' ListLabelingJobsForWorkteam (Maybe UTCTime)
- listLabelingJobsForWorkteam_creationTimeBefore :: Lens' ListLabelingJobsForWorkteam (Maybe UTCTime)
- listLabelingJobsForWorkteam_jobReferenceCodeContains :: Lens' ListLabelingJobsForWorkteam (Maybe Text)
- listLabelingJobsForWorkteam_maxResults :: Lens' ListLabelingJobsForWorkteam (Maybe Natural)
- listLabelingJobsForWorkteam_nextToken :: Lens' ListLabelingJobsForWorkteam (Maybe Text)
- listLabelingJobsForWorkteam_sortBy :: Lens' ListLabelingJobsForWorkteam (Maybe ListLabelingJobsForWorkteamSortByOptions)
- listLabelingJobsForWorkteam_sortOrder :: Lens' ListLabelingJobsForWorkteam (Maybe SortOrder)
- listLabelingJobsForWorkteam_workteamArn :: Lens' ListLabelingJobsForWorkteam Text
- listLabelingJobsForWorkteamResponse_nextToken :: Lens' ListLabelingJobsForWorkteamResponse (Maybe Text)
- listLabelingJobsForWorkteamResponse_httpStatus :: Lens' ListLabelingJobsForWorkteamResponse Int
- listLabelingJobsForWorkteamResponse_labelingJobSummaryList :: Lens' ListLabelingJobsForWorkteamResponse [LabelingJobForWorkteamSummary]
- listLineageGroups_createdAfter :: Lens' ListLineageGroups (Maybe UTCTime)
- listLineageGroups_createdBefore :: Lens' ListLineageGroups (Maybe UTCTime)
- listLineageGroups_maxResults :: Lens' ListLineageGroups (Maybe Natural)
- listLineageGroups_nextToken :: Lens' ListLineageGroups (Maybe Text)
- listLineageGroups_sortBy :: Lens' ListLineageGroups (Maybe SortLineageGroupsBy)
- listLineageGroups_sortOrder :: Lens' ListLineageGroups (Maybe SortOrder)
- listLineageGroupsResponse_lineageGroupSummaries :: Lens' ListLineageGroupsResponse (Maybe [LineageGroupSummary])
- listLineageGroupsResponse_nextToken :: Lens' ListLineageGroupsResponse (Maybe Text)
- listLineageGroupsResponse_httpStatus :: Lens' ListLineageGroupsResponse Int
- listModelBiasJobDefinitions_creationTimeAfter :: Lens' ListModelBiasJobDefinitions (Maybe UTCTime)
- listModelBiasJobDefinitions_creationTimeBefore :: Lens' ListModelBiasJobDefinitions (Maybe UTCTime)
- listModelBiasJobDefinitions_endpointName :: Lens' ListModelBiasJobDefinitions (Maybe Text)
- listModelBiasJobDefinitions_maxResults :: Lens' ListModelBiasJobDefinitions (Maybe Natural)
- listModelBiasJobDefinitions_nameContains :: Lens' ListModelBiasJobDefinitions (Maybe Text)
- listModelBiasJobDefinitions_nextToken :: Lens' ListModelBiasJobDefinitions (Maybe Text)
- listModelBiasJobDefinitions_sortBy :: Lens' ListModelBiasJobDefinitions (Maybe MonitoringJobDefinitionSortKey)
- listModelBiasJobDefinitions_sortOrder :: Lens' ListModelBiasJobDefinitions (Maybe SortOrder)
- listModelBiasJobDefinitionsResponse_nextToken :: Lens' ListModelBiasJobDefinitionsResponse (Maybe Text)
- listModelBiasJobDefinitionsResponse_httpStatus :: Lens' ListModelBiasJobDefinitionsResponse Int
- listModelBiasJobDefinitionsResponse_jobDefinitionSummaries :: Lens' ListModelBiasJobDefinitionsResponse [MonitoringJobDefinitionSummary]
- listModelCardExportJobs_creationTimeAfter :: Lens' ListModelCardExportJobs (Maybe UTCTime)
- listModelCardExportJobs_creationTimeBefore :: Lens' ListModelCardExportJobs (Maybe UTCTime)
- listModelCardExportJobs_maxResults :: Lens' ListModelCardExportJobs (Maybe Natural)
- listModelCardExportJobs_modelCardExportJobNameContains :: Lens' ListModelCardExportJobs (Maybe Text)
- listModelCardExportJobs_modelCardVersion :: Lens' ListModelCardExportJobs (Maybe Int)
- listModelCardExportJobs_nextToken :: Lens' ListModelCardExportJobs (Maybe Text)
- listModelCardExportJobs_sortBy :: Lens' ListModelCardExportJobs (Maybe ModelCardExportJobSortBy)
- listModelCardExportJobs_sortOrder :: Lens' ListModelCardExportJobs (Maybe ModelCardExportJobSortOrder)
- listModelCardExportJobs_statusEquals :: Lens' ListModelCardExportJobs (Maybe ModelCardExportJobStatus)
- listModelCardExportJobs_modelCardName :: Lens' ListModelCardExportJobs Text
- listModelCardExportJobsResponse_nextToken :: Lens' ListModelCardExportJobsResponse (Maybe Text)
- listModelCardExportJobsResponse_httpStatus :: Lens' ListModelCardExportJobsResponse Int
- listModelCardExportJobsResponse_modelCardExportJobSummaries :: Lens' ListModelCardExportJobsResponse [ModelCardExportJobSummary]
- listModelCardVersions_creationTimeAfter :: Lens' ListModelCardVersions (Maybe UTCTime)
- listModelCardVersions_creationTimeBefore :: Lens' ListModelCardVersions (Maybe UTCTime)
- listModelCardVersions_maxResults :: Lens' ListModelCardVersions (Maybe Natural)
- listModelCardVersions_modelCardStatus :: Lens' ListModelCardVersions (Maybe ModelCardStatus)
- listModelCardVersions_nextToken :: Lens' ListModelCardVersions (Maybe Text)
- listModelCardVersions_sortBy :: Lens' ListModelCardVersions (Maybe ModelCardVersionSortBy)
- listModelCardVersions_sortOrder :: Lens' ListModelCardVersions (Maybe ModelCardSortOrder)
- listModelCardVersions_modelCardName :: Lens' ListModelCardVersions Text
- listModelCardVersionsResponse_nextToken :: Lens' ListModelCardVersionsResponse (Maybe Text)
- listModelCardVersionsResponse_httpStatus :: Lens' ListModelCardVersionsResponse Int
- listModelCardVersionsResponse_modelCardVersionSummaryList :: Lens' ListModelCardVersionsResponse [ModelCardVersionSummary]
- listModelCards_creationTimeAfter :: Lens' ListModelCards (Maybe UTCTime)
- listModelCards_creationTimeBefore :: Lens' ListModelCards (Maybe UTCTime)
- listModelCards_maxResults :: Lens' ListModelCards (Maybe Natural)
- listModelCards_modelCardStatus :: Lens' ListModelCards (Maybe ModelCardStatus)
- listModelCards_nameContains :: Lens' ListModelCards (Maybe Text)
- listModelCards_nextToken :: Lens' ListModelCards (Maybe Text)
- listModelCards_sortBy :: Lens' ListModelCards (Maybe ModelCardSortBy)
- listModelCards_sortOrder :: Lens' ListModelCards (Maybe ModelCardSortOrder)
- listModelCardsResponse_nextToken :: Lens' ListModelCardsResponse (Maybe Text)
- listModelCardsResponse_httpStatus :: Lens' ListModelCardsResponse Int
- listModelCardsResponse_modelCardSummaries :: Lens' ListModelCardsResponse [ModelCardSummary]
- listModelExplainabilityJobDefinitions_creationTimeAfter :: Lens' ListModelExplainabilityJobDefinitions (Maybe UTCTime)
- listModelExplainabilityJobDefinitions_creationTimeBefore :: Lens' ListModelExplainabilityJobDefinitions (Maybe UTCTime)
- listModelExplainabilityJobDefinitions_endpointName :: Lens' ListModelExplainabilityJobDefinitions (Maybe Text)
- listModelExplainabilityJobDefinitions_maxResults :: Lens' ListModelExplainabilityJobDefinitions (Maybe Natural)
- listModelExplainabilityJobDefinitions_nameContains :: Lens' ListModelExplainabilityJobDefinitions (Maybe Text)
- listModelExplainabilityJobDefinitions_nextToken :: Lens' ListModelExplainabilityJobDefinitions (Maybe Text)
- listModelExplainabilityJobDefinitions_sortBy :: Lens' ListModelExplainabilityJobDefinitions (Maybe MonitoringJobDefinitionSortKey)
- listModelExplainabilityJobDefinitions_sortOrder :: Lens' ListModelExplainabilityJobDefinitions (Maybe SortOrder)
- listModelExplainabilityJobDefinitionsResponse_nextToken :: Lens' ListModelExplainabilityJobDefinitionsResponse (Maybe Text)
- listModelExplainabilityJobDefinitionsResponse_httpStatus :: Lens' ListModelExplainabilityJobDefinitionsResponse Int
- listModelExplainabilityJobDefinitionsResponse_jobDefinitionSummaries :: Lens' ListModelExplainabilityJobDefinitionsResponse [MonitoringJobDefinitionSummary]
- listModelMetadata_maxResults :: Lens' ListModelMetadata (Maybe Natural)
- listModelMetadata_nextToken :: Lens' ListModelMetadata (Maybe Text)
- listModelMetadata_searchExpression :: Lens' ListModelMetadata (Maybe ModelMetadataSearchExpression)
- listModelMetadataResponse_nextToken :: Lens' ListModelMetadataResponse (Maybe Text)
- listModelMetadataResponse_httpStatus :: Lens' ListModelMetadataResponse Int
- listModelMetadataResponse_modelMetadataSummaries :: Lens' ListModelMetadataResponse [ModelMetadataSummary]
- listModelPackageGroups_creationTimeAfter :: Lens' ListModelPackageGroups (Maybe UTCTime)
- listModelPackageGroups_creationTimeBefore :: Lens' ListModelPackageGroups (Maybe UTCTime)
- listModelPackageGroups_maxResults :: Lens' ListModelPackageGroups (Maybe Natural)
- listModelPackageGroups_nameContains :: Lens' ListModelPackageGroups (Maybe Text)
- listModelPackageGroups_nextToken :: Lens' ListModelPackageGroups (Maybe Text)
- listModelPackageGroups_sortBy :: Lens' ListModelPackageGroups (Maybe ModelPackageGroupSortBy)
- listModelPackageGroups_sortOrder :: Lens' ListModelPackageGroups (Maybe SortOrder)
- listModelPackageGroupsResponse_nextToken :: Lens' ListModelPackageGroupsResponse (Maybe Text)
- listModelPackageGroupsResponse_httpStatus :: Lens' ListModelPackageGroupsResponse Int
- listModelPackageGroupsResponse_modelPackageGroupSummaryList :: Lens' ListModelPackageGroupsResponse [ModelPackageGroupSummary]
- listModelPackages_creationTimeAfter :: Lens' ListModelPackages (Maybe UTCTime)
- listModelPackages_creationTimeBefore :: Lens' ListModelPackages (Maybe UTCTime)
- listModelPackages_maxResults :: Lens' ListModelPackages (Maybe Natural)
- listModelPackages_modelApprovalStatus :: Lens' ListModelPackages (Maybe ModelApprovalStatus)
- listModelPackages_modelPackageGroupName :: Lens' ListModelPackages (Maybe Text)
- listModelPackages_modelPackageType :: Lens' ListModelPackages (Maybe ModelPackageType)
- listModelPackages_nameContains :: Lens' ListModelPackages (Maybe Text)
- listModelPackages_nextToken :: Lens' ListModelPackages (Maybe Text)
- listModelPackages_sortBy :: Lens' ListModelPackages (Maybe ModelPackageSortBy)
- listModelPackages_sortOrder :: Lens' ListModelPackages (Maybe SortOrder)
- listModelPackagesResponse_nextToken :: Lens' ListModelPackagesResponse (Maybe Text)
- listModelPackagesResponse_httpStatus :: Lens' ListModelPackagesResponse Int
- listModelPackagesResponse_modelPackageSummaryList :: Lens' ListModelPackagesResponse [ModelPackageSummary]
- listModelQualityJobDefinitions_creationTimeAfter :: Lens' ListModelQualityJobDefinitions (Maybe UTCTime)
- listModelQualityJobDefinitions_creationTimeBefore :: Lens' ListModelQualityJobDefinitions (Maybe UTCTime)
- listModelQualityJobDefinitions_endpointName :: Lens' ListModelQualityJobDefinitions (Maybe Text)
- listModelQualityJobDefinitions_maxResults :: Lens' ListModelQualityJobDefinitions (Maybe Natural)
- listModelQualityJobDefinitions_nameContains :: Lens' ListModelQualityJobDefinitions (Maybe Text)
- listModelQualityJobDefinitions_nextToken :: Lens' ListModelQualityJobDefinitions (Maybe Text)
- listModelQualityJobDefinitions_sortBy :: Lens' ListModelQualityJobDefinitions (Maybe MonitoringJobDefinitionSortKey)
- listModelQualityJobDefinitions_sortOrder :: Lens' ListModelQualityJobDefinitions (Maybe SortOrder)
- listModelQualityJobDefinitionsResponse_nextToken :: Lens' ListModelQualityJobDefinitionsResponse (Maybe Text)
- listModelQualityJobDefinitionsResponse_httpStatus :: Lens' ListModelQualityJobDefinitionsResponse Int
- listModelQualityJobDefinitionsResponse_jobDefinitionSummaries :: Lens' ListModelQualityJobDefinitionsResponse [MonitoringJobDefinitionSummary]
- listModels_creationTimeAfter :: Lens' ListModels (Maybe UTCTime)
- listModels_creationTimeBefore :: Lens' ListModels (Maybe UTCTime)
- listModels_maxResults :: Lens' ListModels (Maybe Natural)
- listModels_nameContains :: Lens' ListModels (Maybe Text)
- listModels_nextToken :: Lens' ListModels (Maybe Text)
- listModels_sortBy :: Lens' ListModels (Maybe ModelSortKey)
- listModels_sortOrder :: Lens' ListModels (Maybe OrderKey)
- listModelsResponse_nextToken :: Lens' ListModelsResponse (Maybe Text)
- listModelsResponse_httpStatus :: Lens' ListModelsResponse Int
- listModelsResponse_models :: Lens' ListModelsResponse [ModelSummary]
- listMonitoringAlertHistory_creationTimeAfter :: Lens' ListMonitoringAlertHistory (Maybe UTCTime)
- listMonitoringAlertHistory_creationTimeBefore :: Lens' ListMonitoringAlertHistory (Maybe UTCTime)
- listMonitoringAlertHistory_maxResults :: Lens' ListMonitoringAlertHistory (Maybe Natural)
- listMonitoringAlertHistory_monitoringAlertName :: Lens' ListMonitoringAlertHistory (Maybe Text)
- listMonitoringAlertHistory_monitoringScheduleName :: Lens' ListMonitoringAlertHistory (Maybe Text)
- listMonitoringAlertHistory_nextToken :: Lens' ListMonitoringAlertHistory (Maybe Text)
- listMonitoringAlertHistory_sortBy :: Lens' ListMonitoringAlertHistory (Maybe MonitoringAlertHistorySortKey)
- listMonitoringAlertHistory_sortOrder :: Lens' ListMonitoringAlertHistory (Maybe SortOrder)
- listMonitoringAlertHistory_statusEquals :: Lens' ListMonitoringAlertHistory (Maybe MonitoringAlertStatus)
- listMonitoringAlertHistoryResponse_monitoringAlertHistory :: Lens' ListMonitoringAlertHistoryResponse (Maybe [MonitoringAlertHistorySummary])
- listMonitoringAlertHistoryResponse_nextToken :: Lens' ListMonitoringAlertHistoryResponse (Maybe Text)
- listMonitoringAlertHistoryResponse_httpStatus :: Lens' ListMonitoringAlertHistoryResponse Int
- listMonitoringAlerts_maxResults :: Lens' ListMonitoringAlerts (Maybe Natural)
- listMonitoringAlerts_nextToken :: Lens' ListMonitoringAlerts (Maybe Text)
- listMonitoringAlerts_monitoringScheduleName :: Lens' ListMonitoringAlerts Text
- listMonitoringAlertsResponse_monitoringAlertSummaries :: Lens' ListMonitoringAlertsResponse (Maybe (NonEmpty MonitoringAlertSummary))
- listMonitoringAlertsResponse_nextToken :: Lens' ListMonitoringAlertsResponse (Maybe Text)
- listMonitoringAlertsResponse_httpStatus :: Lens' ListMonitoringAlertsResponse Int
- listMonitoringExecutions_creationTimeAfter :: Lens' ListMonitoringExecutions (Maybe UTCTime)
- listMonitoringExecutions_creationTimeBefore :: Lens' ListMonitoringExecutions (Maybe UTCTime)
- listMonitoringExecutions_endpointName :: Lens' ListMonitoringExecutions (Maybe Text)
- listMonitoringExecutions_lastModifiedTimeAfter :: Lens' ListMonitoringExecutions (Maybe UTCTime)
- listMonitoringExecutions_lastModifiedTimeBefore :: Lens' ListMonitoringExecutions (Maybe UTCTime)
- listMonitoringExecutions_maxResults :: Lens' ListMonitoringExecutions (Maybe Natural)
- listMonitoringExecutions_monitoringJobDefinitionName :: Lens' ListMonitoringExecutions (Maybe Text)
- listMonitoringExecutions_monitoringScheduleName :: Lens' ListMonitoringExecutions (Maybe Text)
- listMonitoringExecutions_monitoringTypeEquals :: Lens' ListMonitoringExecutions (Maybe MonitoringType)
- listMonitoringExecutions_nextToken :: Lens' ListMonitoringExecutions (Maybe Text)
- listMonitoringExecutions_scheduledTimeAfter :: Lens' ListMonitoringExecutions (Maybe UTCTime)
- listMonitoringExecutions_scheduledTimeBefore :: Lens' ListMonitoringExecutions (Maybe UTCTime)
- listMonitoringExecutions_sortBy :: Lens' ListMonitoringExecutions (Maybe MonitoringExecutionSortKey)
- listMonitoringExecutions_sortOrder :: Lens' ListMonitoringExecutions (Maybe SortOrder)
- listMonitoringExecutions_statusEquals :: Lens' ListMonitoringExecutions (Maybe ExecutionStatus)
- listMonitoringExecutionsResponse_nextToken :: Lens' ListMonitoringExecutionsResponse (Maybe Text)
- listMonitoringExecutionsResponse_httpStatus :: Lens' ListMonitoringExecutionsResponse Int
- listMonitoringExecutionsResponse_monitoringExecutionSummaries :: Lens' ListMonitoringExecutionsResponse [MonitoringExecutionSummary]
- listMonitoringSchedules_creationTimeAfter :: Lens' ListMonitoringSchedules (Maybe UTCTime)
- listMonitoringSchedules_creationTimeBefore :: Lens' ListMonitoringSchedules (Maybe UTCTime)
- listMonitoringSchedules_endpointName :: Lens' ListMonitoringSchedules (Maybe Text)
- listMonitoringSchedules_lastModifiedTimeAfter :: Lens' ListMonitoringSchedules (Maybe UTCTime)
- listMonitoringSchedules_lastModifiedTimeBefore :: Lens' ListMonitoringSchedules (Maybe UTCTime)
- listMonitoringSchedules_maxResults :: Lens' ListMonitoringSchedules (Maybe Natural)
- listMonitoringSchedules_monitoringJobDefinitionName :: Lens' ListMonitoringSchedules (Maybe Text)
- listMonitoringSchedules_monitoringTypeEquals :: Lens' ListMonitoringSchedules (Maybe MonitoringType)
- listMonitoringSchedules_nameContains :: Lens' ListMonitoringSchedules (Maybe Text)
- listMonitoringSchedules_nextToken :: Lens' ListMonitoringSchedules (Maybe Text)
- listMonitoringSchedules_sortBy :: Lens' ListMonitoringSchedules (Maybe MonitoringScheduleSortKey)
- listMonitoringSchedules_sortOrder :: Lens' ListMonitoringSchedules (Maybe SortOrder)
- listMonitoringSchedules_statusEquals :: Lens' ListMonitoringSchedules (Maybe ScheduleStatus)
- listMonitoringSchedulesResponse_nextToken :: Lens' ListMonitoringSchedulesResponse (Maybe Text)
- listMonitoringSchedulesResponse_httpStatus :: Lens' ListMonitoringSchedulesResponse Int
- listMonitoringSchedulesResponse_monitoringScheduleSummaries :: Lens' ListMonitoringSchedulesResponse [MonitoringScheduleSummary]
- listNotebookInstanceLifecycleConfigs_creationTimeAfter :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe UTCTime)
- listNotebookInstanceLifecycleConfigs_creationTimeBefore :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe UTCTime)
- listNotebookInstanceLifecycleConfigs_lastModifiedTimeAfter :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe UTCTime)
- listNotebookInstanceLifecycleConfigs_lastModifiedTimeBefore :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe UTCTime)
- listNotebookInstanceLifecycleConfigs_maxResults :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe Natural)
- listNotebookInstanceLifecycleConfigs_nameContains :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe Text)
- listNotebookInstanceLifecycleConfigs_nextToken :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe Text)
- listNotebookInstanceLifecycleConfigs_sortBy :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe NotebookInstanceLifecycleConfigSortKey)
- listNotebookInstanceLifecycleConfigs_sortOrder :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe NotebookInstanceLifecycleConfigSortOrder)
- listNotebookInstanceLifecycleConfigsResponse_nextToken :: Lens' ListNotebookInstanceLifecycleConfigsResponse (Maybe Text)
- listNotebookInstanceLifecycleConfigsResponse_notebookInstanceLifecycleConfigs :: Lens' ListNotebookInstanceLifecycleConfigsResponse (Maybe [NotebookInstanceLifecycleConfigSummary])
- listNotebookInstanceLifecycleConfigsResponse_httpStatus :: Lens' ListNotebookInstanceLifecycleConfigsResponse Int
- listNotebookInstances_additionalCodeRepositoryEquals :: Lens' ListNotebookInstances (Maybe Text)
- listNotebookInstances_creationTimeAfter :: Lens' ListNotebookInstances (Maybe UTCTime)
- listNotebookInstances_creationTimeBefore :: Lens' ListNotebookInstances (Maybe UTCTime)
- listNotebookInstances_defaultCodeRepositoryContains :: Lens' ListNotebookInstances (Maybe Text)
- listNotebookInstances_lastModifiedTimeAfter :: Lens' ListNotebookInstances (Maybe UTCTime)
- listNotebookInstances_lastModifiedTimeBefore :: Lens' ListNotebookInstances (Maybe UTCTime)
- listNotebookInstances_maxResults :: Lens' ListNotebookInstances (Maybe Natural)
- listNotebookInstances_nameContains :: Lens' ListNotebookInstances (Maybe Text)
- listNotebookInstances_nextToken :: Lens' ListNotebookInstances (Maybe Text)
- listNotebookInstances_notebookInstanceLifecycleConfigNameContains :: Lens' ListNotebookInstances (Maybe Text)
- listNotebookInstances_sortBy :: Lens' ListNotebookInstances (Maybe NotebookInstanceSortKey)
- listNotebookInstances_sortOrder :: Lens' ListNotebookInstances (Maybe NotebookInstanceSortOrder)
- listNotebookInstances_statusEquals :: Lens' ListNotebookInstances (Maybe NotebookInstanceStatus)
- listNotebookInstancesResponse_nextToken :: Lens' ListNotebookInstancesResponse (Maybe Text)
- listNotebookInstancesResponse_notebookInstances :: Lens' ListNotebookInstancesResponse (Maybe [NotebookInstanceSummary])
- listNotebookInstancesResponse_httpStatus :: Lens' ListNotebookInstancesResponse Int
- listPipelineExecutionSteps_maxResults :: Lens' ListPipelineExecutionSteps (Maybe Natural)
- listPipelineExecutionSteps_nextToken :: Lens' ListPipelineExecutionSteps (Maybe Text)
- listPipelineExecutionSteps_pipelineExecutionArn :: Lens' ListPipelineExecutionSteps (Maybe Text)
- listPipelineExecutionSteps_sortOrder :: Lens' ListPipelineExecutionSteps (Maybe SortOrder)
- listPipelineExecutionStepsResponse_nextToken :: Lens' ListPipelineExecutionStepsResponse (Maybe Text)
- listPipelineExecutionStepsResponse_pipelineExecutionSteps :: Lens' ListPipelineExecutionStepsResponse (Maybe [PipelineExecutionStep])
- listPipelineExecutionStepsResponse_httpStatus :: Lens' ListPipelineExecutionStepsResponse Int
- listPipelineExecutions_createdAfter :: Lens' ListPipelineExecutions (Maybe UTCTime)
- listPipelineExecutions_createdBefore :: Lens' ListPipelineExecutions (Maybe UTCTime)
- listPipelineExecutions_maxResults :: Lens' ListPipelineExecutions (Maybe Natural)
- listPipelineExecutions_nextToken :: Lens' ListPipelineExecutions (Maybe Text)
- listPipelineExecutions_sortBy :: Lens' ListPipelineExecutions (Maybe SortPipelineExecutionsBy)
- listPipelineExecutions_sortOrder :: Lens' ListPipelineExecutions (Maybe SortOrder)
- listPipelineExecutions_pipelineName :: Lens' ListPipelineExecutions Text
- listPipelineExecutionsResponse_nextToken :: Lens' ListPipelineExecutionsResponse (Maybe Text)
- listPipelineExecutionsResponse_pipelineExecutionSummaries :: Lens' ListPipelineExecutionsResponse (Maybe [PipelineExecutionSummary])
- listPipelineExecutionsResponse_httpStatus :: Lens' ListPipelineExecutionsResponse Int
- listPipelineParametersForExecution_maxResults :: Lens' ListPipelineParametersForExecution (Maybe Natural)
- listPipelineParametersForExecution_nextToken :: Lens' ListPipelineParametersForExecution (Maybe Text)
- listPipelineParametersForExecution_pipelineExecutionArn :: Lens' ListPipelineParametersForExecution Text
- listPipelineParametersForExecutionResponse_nextToken :: Lens' ListPipelineParametersForExecutionResponse (Maybe Text)
- listPipelineParametersForExecutionResponse_pipelineParameters :: Lens' ListPipelineParametersForExecutionResponse (Maybe [Parameter])
- listPipelineParametersForExecutionResponse_httpStatus :: Lens' ListPipelineParametersForExecutionResponse Int
- listPipelines_createdAfter :: Lens' ListPipelines (Maybe UTCTime)
- listPipelines_createdBefore :: Lens' ListPipelines (Maybe UTCTime)
- listPipelines_maxResults :: Lens' ListPipelines (Maybe Natural)
- listPipelines_nextToken :: Lens' ListPipelines (Maybe Text)
- listPipelines_pipelineNamePrefix :: Lens' ListPipelines (Maybe Text)
- listPipelines_sortBy :: Lens' ListPipelines (Maybe SortPipelinesBy)
- listPipelines_sortOrder :: Lens' ListPipelines (Maybe SortOrder)
- listPipelinesResponse_nextToken :: Lens' ListPipelinesResponse (Maybe Text)
- listPipelinesResponse_pipelineSummaries :: Lens' ListPipelinesResponse (Maybe [PipelineSummary])
- listPipelinesResponse_httpStatus :: Lens' ListPipelinesResponse Int
- listProcessingJobs_creationTimeAfter :: Lens' ListProcessingJobs (Maybe UTCTime)
- listProcessingJobs_creationTimeBefore :: Lens' ListProcessingJobs (Maybe UTCTime)
- listProcessingJobs_lastModifiedTimeAfter :: Lens' ListProcessingJobs (Maybe UTCTime)
- listProcessingJobs_lastModifiedTimeBefore :: Lens' ListProcessingJobs (Maybe UTCTime)
- listProcessingJobs_maxResults :: Lens' ListProcessingJobs (Maybe Natural)
- listProcessingJobs_nameContains :: Lens' ListProcessingJobs (Maybe Text)
- listProcessingJobs_nextToken :: Lens' ListProcessingJobs (Maybe Text)
- listProcessingJobs_sortBy :: Lens' ListProcessingJobs (Maybe SortBy)
- listProcessingJobs_sortOrder :: Lens' ListProcessingJobs (Maybe SortOrder)
- listProcessingJobs_statusEquals :: Lens' ListProcessingJobs (Maybe ProcessingJobStatus)
- listProcessingJobsResponse_nextToken :: Lens' ListProcessingJobsResponse (Maybe Text)
- listProcessingJobsResponse_httpStatus :: Lens' ListProcessingJobsResponse Int
- listProcessingJobsResponse_processingJobSummaries :: Lens' ListProcessingJobsResponse [ProcessingJobSummary]
- listProjects_creationTimeAfter :: Lens' ListProjects (Maybe UTCTime)
- listProjects_creationTimeBefore :: Lens' ListProjects (Maybe UTCTime)
- listProjects_maxResults :: Lens' ListProjects (Maybe Natural)
- listProjects_nameContains :: Lens' ListProjects (Maybe Text)
- listProjects_nextToken :: Lens' ListProjects (Maybe Text)
- listProjects_sortBy :: Lens' ListProjects (Maybe ProjectSortBy)
- listProjects_sortOrder :: Lens' ListProjects (Maybe ProjectSortOrder)
- listProjectsResponse_nextToken :: Lens' ListProjectsResponse (Maybe Text)
- listProjectsResponse_httpStatus :: Lens' ListProjectsResponse Int
- listProjectsResponse_projectSummaryList :: Lens' ListProjectsResponse [ProjectSummary]
- listSpaces_domainIdEquals :: Lens' ListSpaces (Maybe Text)
- listSpaces_maxResults :: Lens' ListSpaces (Maybe Natural)
- listSpaces_nextToken :: Lens' ListSpaces (Maybe Text)
- listSpaces_sortBy :: Lens' ListSpaces (Maybe SpaceSortKey)
- listSpaces_sortOrder :: Lens' ListSpaces (Maybe SortOrder)
- listSpaces_spaceNameContains :: Lens' ListSpaces (Maybe Text)
- listSpacesResponse_nextToken :: Lens' ListSpacesResponse (Maybe Text)
- listSpacesResponse_spaces :: Lens' ListSpacesResponse (Maybe [SpaceDetails])
- listSpacesResponse_httpStatus :: Lens' ListSpacesResponse Int
- listStageDevices_excludeDevicesDeployedInOtherStage :: Lens' ListStageDevices (Maybe Bool)
- listStageDevices_maxResults :: Lens' ListStageDevices (Maybe Int)
- listStageDevices_nextToken :: Lens' ListStageDevices (Maybe Text)
- listStageDevices_edgeDeploymentPlanName :: Lens' ListStageDevices Text
- listStageDevices_stageName :: Lens' ListStageDevices Text
- listStageDevicesResponse_nextToken :: Lens' ListStageDevicesResponse (Maybe Text)
- listStageDevicesResponse_httpStatus :: Lens' ListStageDevicesResponse Int
- listStageDevicesResponse_deviceDeploymentSummaries :: Lens' ListStageDevicesResponse [DeviceDeploymentSummary]
- listStudioLifecycleConfigs_appTypeEquals :: Lens' ListStudioLifecycleConfigs (Maybe StudioLifecycleConfigAppType)
- listStudioLifecycleConfigs_creationTimeAfter :: Lens' ListStudioLifecycleConfigs (Maybe UTCTime)
- listStudioLifecycleConfigs_creationTimeBefore :: Lens' ListStudioLifecycleConfigs (Maybe UTCTime)
- listStudioLifecycleConfigs_maxResults :: Lens' ListStudioLifecycleConfigs (Maybe Natural)
- listStudioLifecycleConfigs_modifiedTimeAfter :: Lens' ListStudioLifecycleConfigs (Maybe UTCTime)
- listStudioLifecycleConfigs_modifiedTimeBefore :: Lens' ListStudioLifecycleConfigs (Maybe UTCTime)
- listStudioLifecycleConfigs_nameContains :: Lens' ListStudioLifecycleConfigs (Maybe Text)
- listStudioLifecycleConfigs_nextToken :: Lens' ListStudioLifecycleConfigs (Maybe Text)
- listStudioLifecycleConfigs_sortBy :: Lens' ListStudioLifecycleConfigs (Maybe StudioLifecycleConfigSortKey)
- listStudioLifecycleConfigs_sortOrder :: Lens' ListStudioLifecycleConfigs (Maybe SortOrder)
- listStudioLifecycleConfigsResponse_nextToken :: Lens' ListStudioLifecycleConfigsResponse (Maybe Text)
- listStudioLifecycleConfigsResponse_studioLifecycleConfigs :: Lens' ListStudioLifecycleConfigsResponse (Maybe [StudioLifecycleConfigDetails])
- listStudioLifecycleConfigsResponse_httpStatus :: Lens' ListStudioLifecycleConfigsResponse Int
- listSubscribedWorkteams_maxResults :: Lens' ListSubscribedWorkteams (Maybe Natural)
- listSubscribedWorkteams_nameContains :: Lens' ListSubscribedWorkteams (Maybe Text)
- listSubscribedWorkteams_nextToken :: Lens' ListSubscribedWorkteams (Maybe Text)
- listSubscribedWorkteamsResponse_nextToken :: Lens' ListSubscribedWorkteamsResponse (Maybe Text)
- listSubscribedWorkteamsResponse_httpStatus :: Lens' ListSubscribedWorkteamsResponse Int
- listSubscribedWorkteamsResponse_subscribedWorkteams :: Lens' ListSubscribedWorkteamsResponse [SubscribedWorkteam]
- listTags_maxResults :: Lens' ListTags (Maybe Natural)
- listTags_nextToken :: Lens' ListTags (Maybe Text)
- listTags_resourceArn :: Lens' ListTags Text
- listTagsResponse_nextToken :: Lens' ListTagsResponse (Maybe Text)
- listTagsResponse_tags :: Lens' ListTagsResponse (Maybe [Tag])
- listTagsResponse_httpStatus :: Lens' ListTagsResponse Int
- listTrainingJobs_creationTimeAfter :: Lens' ListTrainingJobs (Maybe UTCTime)
- listTrainingJobs_creationTimeBefore :: Lens' ListTrainingJobs (Maybe UTCTime)
- listTrainingJobs_lastModifiedTimeAfter :: Lens' ListTrainingJobs (Maybe UTCTime)
- listTrainingJobs_lastModifiedTimeBefore :: Lens' ListTrainingJobs (Maybe UTCTime)
- listTrainingJobs_maxResults :: Lens' ListTrainingJobs (Maybe Natural)
- listTrainingJobs_nameContains :: Lens' ListTrainingJobs (Maybe Text)
- listTrainingJobs_nextToken :: Lens' ListTrainingJobs (Maybe Text)
- listTrainingJobs_sortBy :: Lens' ListTrainingJobs (Maybe SortBy)
- listTrainingJobs_sortOrder :: Lens' ListTrainingJobs (Maybe SortOrder)
- listTrainingJobs_statusEquals :: Lens' ListTrainingJobs (Maybe TrainingJobStatus)
- listTrainingJobs_warmPoolStatusEquals :: Lens' ListTrainingJobs (Maybe WarmPoolResourceStatus)
- listTrainingJobsResponse_nextToken :: Lens' ListTrainingJobsResponse (Maybe Text)
- listTrainingJobsResponse_httpStatus :: Lens' ListTrainingJobsResponse Int
- listTrainingJobsResponse_trainingJobSummaries :: Lens' ListTrainingJobsResponse [TrainingJobSummary]
- listTrainingJobsForHyperParameterTuningJob_maxResults :: Lens' ListTrainingJobsForHyperParameterTuningJob (Maybe Natural)
- listTrainingJobsForHyperParameterTuningJob_nextToken :: Lens' ListTrainingJobsForHyperParameterTuningJob (Maybe Text)
- listTrainingJobsForHyperParameterTuningJob_sortBy :: Lens' ListTrainingJobsForHyperParameterTuningJob (Maybe TrainingJobSortByOptions)
- listTrainingJobsForHyperParameterTuningJob_sortOrder :: Lens' ListTrainingJobsForHyperParameterTuningJob (Maybe SortOrder)
- listTrainingJobsForHyperParameterTuningJob_statusEquals :: Lens' ListTrainingJobsForHyperParameterTuningJob (Maybe TrainingJobStatus)
- listTrainingJobsForHyperParameterTuningJob_hyperParameterTuningJobName :: Lens' ListTrainingJobsForHyperParameterTuningJob Text
- listTrainingJobsForHyperParameterTuningJobResponse_nextToken :: Lens' ListTrainingJobsForHyperParameterTuningJobResponse (Maybe Text)
- listTrainingJobsForHyperParameterTuningJobResponse_httpStatus :: Lens' ListTrainingJobsForHyperParameterTuningJobResponse Int
- listTrainingJobsForHyperParameterTuningJobResponse_trainingJobSummaries :: Lens' ListTrainingJobsForHyperParameterTuningJobResponse [HyperParameterTrainingJobSummary]
- listTransformJobs_creationTimeAfter :: Lens' ListTransformJobs (Maybe UTCTime)
- listTransformJobs_creationTimeBefore :: Lens' ListTransformJobs (Maybe UTCTime)
- listTransformJobs_lastModifiedTimeAfter :: Lens' ListTransformJobs (Maybe UTCTime)
- listTransformJobs_lastModifiedTimeBefore :: Lens' ListTransformJobs (Maybe UTCTime)
- listTransformJobs_maxResults :: Lens' ListTransformJobs (Maybe Natural)
- listTransformJobs_nameContains :: Lens' ListTransformJobs (Maybe Text)
- listTransformJobs_nextToken :: Lens' ListTransformJobs (Maybe Text)
- listTransformJobs_sortBy :: Lens' ListTransformJobs (Maybe SortBy)
- listTransformJobs_sortOrder :: Lens' ListTransformJobs (Maybe SortOrder)
- listTransformJobs_statusEquals :: Lens' ListTransformJobs (Maybe TransformJobStatus)
- listTransformJobsResponse_nextToken :: Lens' ListTransformJobsResponse (Maybe Text)
- listTransformJobsResponse_httpStatus :: Lens' ListTransformJobsResponse Int
- listTransformJobsResponse_transformJobSummaries :: Lens' ListTransformJobsResponse [TransformJobSummary]
- listTrialComponents_createdAfter :: Lens' ListTrialComponents (Maybe UTCTime)
- listTrialComponents_createdBefore :: Lens' ListTrialComponents (Maybe UTCTime)
- listTrialComponents_experimentName :: Lens' ListTrialComponents (Maybe Text)
- listTrialComponents_maxResults :: Lens' ListTrialComponents (Maybe Natural)
- listTrialComponents_nextToken :: Lens' ListTrialComponents (Maybe Text)
- listTrialComponents_sortBy :: Lens' ListTrialComponents (Maybe SortTrialComponentsBy)
- listTrialComponents_sortOrder :: Lens' ListTrialComponents (Maybe SortOrder)
- listTrialComponents_sourceArn :: Lens' ListTrialComponents (Maybe Text)
- listTrialComponents_trialName :: Lens' ListTrialComponents (Maybe Text)
- listTrialComponentsResponse_nextToken :: Lens' ListTrialComponentsResponse (Maybe Text)
- listTrialComponentsResponse_trialComponentSummaries :: Lens' ListTrialComponentsResponse (Maybe [TrialComponentSummary])
- listTrialComponentsResponse_httpStatus :: Lens' ListTrialComponentsResponse Int
- listTrials_createdAfter :: Lens' ListTrials (Maybe UTCTime)
- listTrials_createdBefore :: Lens' ListTrials (Maybe UTCTime)
- listTrials_experimentName :: Lens' ListTrials (Maybe Text)
- listTrials_maxResults :: Lens' ListTrials (Maybe Natural)
- listTrials_nextToken :: Lens' ListTrials (Maybe Text)
- listTrials_sortBy :: Lens' ListTrials (Maybe SortTrialsBy)
- listTrials_sortOrder :: Lens' ListTrials (Maybe SortOrder)
- listTrials_trialComponentName :: Lens' ListTrials (Maybe Text)
- listTrialsResponse_nextToken :: Lens' ListTrialsResponse (Maybe Text)
- listTrialsResponse_trialSummaries :: Lens' ListTrialsResponse (Maybe [TrialSummary])
- listTrialsResponse_httpStatus :: Lens' ListTrialsResponse Int
- listUserProfiles_domainIdEquals :: Lens' ListUserProfiles (Maybe Text)
- listUserProfiles_maxResults :: Lens' ListUserProfiles (Maybe Natural)
- listUserProfiles_nextToken :: Lens' ListUserProfiles (Maybe Text)
- listUserProfiles_sortBy :: Lens' ListUserProfiles (Maybe UserProfileSortKey)
- listUserProfiles_sortOrder :: Lens' ListUserProfiles (Maybe SortOrder)
- listUserProfiles_userProfileNameContains :: Lens' ListUserProfiles (Maybe Text)
- listUserProfilesResponse_nextToken :: Lens' ListUserProfilesResponse (Maybe Text)
- listUserProfilesResponse_userProfiles :: Lens' ListUserProfilesResponse (Maybe [UserProfileDetails])
- listUserProfilesResponse_httpStatus :: Lens' ListUserProfilesResponse Int
- listWorkforces_maxResults :: Lens' ListWorkforces (Maybe Natural)
- listWorkforces_nameContains :: Lens' ListWorkforces (Maybe Text)
- listWorkforces_nextToken :: Lens' ListWorkforces (Maybe Text)
- listWorkforces_sortBy :: Lens' ListWorkforces (Maybe ListWorkforcesSortByOptions)
- listWorkforces_sortOrder :: Lens' ListWorkforces (Maybe SortOrder)
- listWorkforcesResponse_nextToken :: Lens' ListWorkforcesResponse (Maybe Text)
- listWorkforcesResponse_httpStatus :: Lens' ListWorkforcesResponse Int
- listWorkforcesResponse_workforces :: Lens' ListWorkforcesResponse [Workforce]
- listWorkteams_maxResults :: Lens' ListWorkteams (Maybe Natural)
- listWorkteams_nameContains :: Lens' ListWorkteams (Maybe Text)
- listWorkteams_nextToken :: Lens' ListWorkteams (Maybe Text)
- listWorkteams_sortBy :: Lens' ListWorkteams (Maybe ListWorkteamsSortByOptions)
- listWorkteams_sortOrder :: Lens' ListWorkteams (Maybe SortOrder)
- listWorkteamsResponse_nextToken :: Lens' ListWorkteamsResponse (Maybe Text)
- listWorkteamsResponse_httpStatus :: Lens' ListWorkteamsResponse Int
- listWorkteamsResponse_workteams :: Lens' ListWorkteamsResponse [Workteam]
- putModelPackageGroupPolicy_modelPackageGroupName :: Lens' PutModelPackageGroupPolicy Text
- putModelPackageGroupPolicy_resourcePolicy :: Lens' PutModelPackageGroupPolicy Text
- putModelPackageGroupPolicyResponse_httpStatus :: Lens' PutModelPackageGroupPolicyResponse Int
- putModelPackageGroupPolicyResponse_modelPackageGroupArn :: Lens' PutModelPackageGroupPolicyResponse Text
- queryLineage_direction :: Lens' QueryLineage (Maybe Direction)
- queryLineage_filters :: Lens' QueryLineage (Maybe QueryFilters)
- queryLineage_includeEdges :: Lens' QueryLineage (Maybe Bool)
- queryLineage_maxDepth :: Lens' QueryLineage (Maybe Int)
- queryLineage_maxResults :: Lens' QueryLineage (Maybe Int)
- queryLineage_nextToken :: Lens' QueryLineage (Maybe Text)
- queryLineage_startArns :: Lens' QueryLineage (Maybe [Text])
- queryLineageResponse_edges :: Lens' QueryLineageResponse (Maybe [Edge])
- queryLineageResponse_nextToken :: Lens' QueryLineageResponse (Maybe Text)
- queryLineageResponse_vertices :: Lens' QueryLineageResponse (Maybe [Vertex])
- queryLineageResponse_httpStatus :: Lens' QueryLineageResponse Int
- registerDevices_tags :: Lens' RegisterDevices (Maybe [Tag])
- registerDevices_deviceFleetName :: Lens' RegisterDevices Text
- registerDevices_devices :: Lens' RegisterDevices [Device]
- renderUiTemplate_humanTaskUiArn :: Lens' RenderUiTemplate (Maybe Text)
- renderUiTemplate_uiTemplate :: Lens' RenderUiTemplate (Maybe UiTemplate)
- renderUiTemplate_task :: Lens' RenderUiTemplate RenderableTask
- renderUiTemplate_roleArn :: Lens' RenderUiTemplate Text
- renderUiTemplateResponse_httpStatus :: Lens' RenderUiTemplateResponse Int
- renderUiTemplateResponse_renderedContent :: Lens' RenderUiTemplateResponse Text
- renderUiTemplateResponse_errors :: Lens' RenderUiTemplateResponse [RenderingError]
- retryPipelineExecution_parallelismConfiguration :: Lens' RetryPipelineExecution (Maybe ParallelismConfiguration)
- retryPipelineExecution_pipelineExecutionArn :: Lens' RetryPipelineExecution Text
- retryPipelineExecution_clientRequestToken :: Lens' RetryPipelineExecution Text
- retryPipelineExecutionResponse_pipelineExecutionArn :: Lens' RetryPipelineExecutionResponse (Maybe Text)
- retryPipelineExecutionResponse_httpStatus :: Lens' RetryPipelineExecutionResponse Int
- search_maxResults :: Lens' Search (Maybe Natural)
- search_nextToken :: Lens' Search (Maybe Text)
- search_searchExpression :: Lens' Search (Maybe SearchExpression)
- search_sortBy :: Lens' Search (Maybe Text)
- search_sortOrder :: Lens' Search (Maybe SearchSortOrder)
- search_resource :: Lens' Search ResourceType
- searchResponse_nextToken :: Lens' SearchResponse (Maybe Text)
- searchResponse_results :: Lens' SearchResponse (Maybe [SearchRecord])
- searchResponse_httpStatus :: Lens' SearchResponse Int
- sendPipelineExecutionStepFailure_clientRequestToken :: Lens' SendPipelineExecutionStepFailure (Maybe Text)
- sendPipelineExecutionStepFailure_failureReason :: Lens' SendPipelineExecutionStepFailure (Maybe Text)
- sendPipelineExecutionStepFailure_callbackToken :: Lens' SendPipelineExecutionStepFailure Text
- sendPipelineExecutionStepFailureResponse_pipelineExecutionArn :: Lens' SendPipelineExecutionStepFailureResponse (Maybe Text)
- sendPipelineExecutionStepFailureResponse_httpStatus :: Lens' SendPipelineExecutionStepFailureResponse Int
- sendPipelineExecutionStepSuccess_clientRequestToken :: Lens' SendPipelineExecutionStepSuccess (Maybe Text)
- sendPipelineExecutionStepSuccess_outputParameters :: Lens' SendPipelineExecutionStepSuccess (Maybe [OutputParameter])
- sendPipelineExecutionStepSuccess_callbackToken :: Lens' SendPipelineExecutionStepSuccess Text
- sendPipelineExecutionStepSuccessResponse_pipelineExecutionArn :: Lens' SendPipelineExecutionStepSuccessResponse (Maybe Text)
- sendPipelineExecutionStepSuccessResponse_httpStatus :: Lens' SendPipelineExecutionStepSuccessResponse Int
- startEdgeDeploymentStage_edgeDeploymentPlanName :: Lens' StartEdgeDeploymentStage Text
- startEdgeDeploymentStage_stageName :: Lens' StartEdgeDeploymentStage Text
- startInferenceExperiment_name :: Lens' StartInferenceExperiment Text
- startInferenceExperimentResponse_httpStatus :: Lens' StartInferenceExperimentResponse Int
- startInferenceExperimentResponse_inferenceExperimentArn :: Lens' StartInferenceExperimentResponse Text
- startMonitoringSchedule_monitoringScheduleName :: Lens' StartMonitoringSchedule Text
- startNotebookInstance_notebookInstanceName :: Lens' StartNotebookInstance Text
- startPipelineExecution_parallelismConfiguration :: Lens' StartPipelineExecution (Maybe ParallelismConfiguration)
- startPipelineExecution_pipelineExecutionDescription :: Lens' StartPipelineExecution (Maybe Text)
- startPipelineExecution_pipelineExecutionDisplayName :: Lens' StartPipelineExecution (Maybe Text)
- startPipelineExecution_pipelineParameters :: Lens' StartPipelineExecution (Maybe [Parameter])
- startPipelineExecution_pipelineName :: Lens' StartPipelineExecution Text
- startPipelineExecution_clientRequestToken :: Lens' StartPipelineExecution Text
- startPipelineExecutionResponse_pipelineExecutionArn :: Lens' StartPipelineExecutionResponse (Maybe Text)
- startPipelineExecutionResponse_httpStatus :: Lens' StartPipelineExecutionResponse Int
- stopAutoMLJob_autoMLJobName :: Lens' StopAutoMLJob Text
- stopCompilationJob_compilationJobName :: Lens' StopCompilationJob Text
- stopEdgeDeploymentStage_edgeDeploymentPlanName :: Lens' StopEdgeDeploymentStage Text
- stopEdgeDeploymentStage_stageName :: Lens' StopEdgeDeploymentStage Text
- stopEdgePackagingJob_edgePackagingJobName :: Lens' StopEdgePackagingJob Text
- stopHyperParameterTuningJob_hyperParameterTuningJobName :: Lens' StopHyperParameterTuningJob Text
- stopInferenceExperiment_desiredModelVariants :: Lens' StopInferenceExperiment (Maybe (NonEmpty ModelVariantConfig))
- stopInferenceExperiment_desiredState :: Lens' StopInferenceExperiment (Maybe InferenceExperimentStopDesiredState)
- stopInferenceExperiment_reason :: Lens' StopInferenceExperiment (Maybe Text)
- stopInferenceExperiment_name :: Lens' StopInferenceExperiment Text
- stopInferenceExperiment_modelVariantActions :: Lens' StopInferenceExperiment (HashMap Text ModelVariantAction)
- stopInferenceExperimentResponse_httpStatus :: Lens' StopInferenceExperimentResponse Int
- stopInferenceExperimentResponse_inferenceExperimentArn :: Lens' StopInferenceExperimentResponse Text
- stopInferenceRecommendationsJob_jobName :: Lens' StopInferenceRecommendationsJob Text
- stopLabelingJob_labelingJobName :: Lens' StopLabelingJob Text
- stopMonitoringSchedule_monitoringScheduleName :: Lens' StopMonitoringSchedule Text
- stopNotebookInstance_notebookInstanceName :: Lens' StopNotebookInstance Text
- stopPipelineExecution_pipelineExecutionArn :: Lens' StopPipelineExecution Text
- stopPipelineExecution_clientRequestToken :: Lens' StopPipelineExecution Text
- stopPipelineExecutionResponse_pipelineExecutionArn :: Lens' StopPipelineExecutionResponse (Maybe Text)
- stopPipelineExecutionResponse_httpStatus :: Lens' StopPipelineExecutionResponse Int
- stopProcessingJob_processingJobName :: Lens' StopProcessingJob Text
- stopTrainingJob_trainingJobName :: Lens' StopTrainingJob Text
- stopTransformJob_transformJobName :: Lens' StopTransformJob Text
- updateAction_description :: Lens' UpdateAction (Maybe Text)
- updateAction_properties :: Lens' UpdateAction (Maybe (HashMap Text Text))
- updateAction_propertiesToRemove :: Lens' UpdateAction (Maybe [Text])
- updateAction_status :: Lens' UpdateAction (Maybe ActionStatus)
- updateAction_actionName :: Lens' UpdateAction Text
- updateActionResponse_actionArn :: Lens' UpdateActionResponse (Maybe Text)
- updateActionResponse_httpStatus :: Lens' UpdateActionResponse Int
- updateAppImageConfig_kernelGatewayImageConfig :: Lens' UpdateAppImageConfig (Maybe KernelGatewayImageConfig)
- updateAppImageConfig_appImageConfigName :: Lens' UpdateAppImageConfig Text
- updateAppImageConfigResponse_appImageConfigArn :: Lens' UpdateAppImageConfigResponse (Maybe Text)
- updateAppImageConfigResponse_httpStatus :: Lens' UpdateAppImageConfigResponse Int
- updateArtifact_artifactName :: Lens' UpdateArtifact (Maybe Text)
- updateArtifact_properties :: Lens' UpdateArtifact (Maybe (HashMap Text Text))
- updateArtifact_propertiesToRemove :: Lens' UpdateArtifact (Maybe [Text])
- updateArtifact_artifactArn :: Lens' UpdateArtifact Text
- updateArtifactResponse_artifactArn :: Lens' UpdateArtifactResponse (Maybe Text)
- updateArtifactResponse_httpStatus :: Lens' UpdateArtifactResponse Int
- updateCodeRepository_gitConfig :: Lens' UpdateCodeRepository (Maybe GitConfigForUpdate)
- updateCodeRepository_codeRepositoryName :: Lens' UpdateCodeRepository Text
- updateCodeRepositoryResponse_httpStatus :: Lens' UpdateCodeRepositoryResponse Int
- updateCodeRepositoryResponse_codeRepositoryArn :: Lens' UpdateCodeRepositoryResponse Text
- updateContext_description :: Lens' UpdateContext (Maybe Text)
- updateContext_properties :: Lens' UpdateContext (Maybe (HashMap Text Text))
- updateContext_propertiesToRemove :: Lens' UpdateContext (Maybe [Text])
- updateContext_contextName :: Lens' UpdateContext Text
- updateContextResponse_contextArn :: Lens' UpdateContextResponse (Maybe Text)
- updateContextResponse_httpStatus :: Lens' UpdateContextResponse Int
- updateDeviceFleet_description :: Lens' UpdateDeviceFleet (Maybe Text)
- updateDeviceFleet_enableIotRoleAlias :: Lens' UpdateDeviceFleet (Maybe Bool)
- updateDeviceFleet_roleArn :: Lens' UpdateDeviceFleet (Maybe Text)
- updateDeviceFleet_deviceFleetName :: Lens' UpdateDeviceFleet Text
- updateDeviceFleet_outputConfig :: Lens' UpdateDeviceFleet EdgeOutputConfig
- updateDevices_deviceFleetName :: Lens' UpdateDevices Text
- updateDevices_devices :: Lens' UpdateDevices [Device]
- updateDomain_appSecurityGroupManagement :: Lens' UpdateDomain (Maybe AppSecurityGroupManagement)
- updateDomain_defaultSpaceSettings :: Lens' UpdateDomain (Maybe DefaultSpaceSettings)
- updateDomain_defaultUserSettings :: Lens' UpdateDomain (Maybe UserSettings)
- updateDomain_domainSettingsForUpdate :: Lens' UpdateDomain (Maybe DomainSettingsForUpdate)
- updateDomain_domainId :: Lens' UpdateDomain Text
- updateDomainResponse_domainArn :: Lens' UpdateDomainResponse (Maybe Text)
- updateDomainResponse_httpStatus :: Lens' UpdateDomainResponse Int
- updateEndpoint_deploymentConfig :: Lens' UpdateEndpoint (Maybe DeploymentConfig)
- updateEndpoint_excludeRetainedVariantProperties :: Lens' UpdateEndpoint (Maybe [VariantProperty])
- updateEndpoint_retainAllVariantProperties :: Lens' UpdateEndpoint (Maybe Bool)
- updateEndpoint_retainDeploymentConfig :: Lens' UpdateEndpoint (Maybe Bool)
- updateEndpoint_endpointName :: Lens' UpdateEndpoint Text
- updateEndpoint_endpointConfigName :: Lens' UpdateEndpoint Text
- updateEndpointResponse_httpStatus :: Lens' UpdateEndpointResponse Int
- updateEndpointResponse_endpointArn :: Lens' UpdateEndpointResponse Text
- updateEndpointWeightsAndCapacities_endpointName :: Lens' UpdateEndpointWeightsAndCapacities Text
- updateEndpointWeightsAndCapacities_desiredWeightsAndCapacities :: Lens' UpdateEndpointWeightsAndCapacities (NonEmpty DesiredWeightAndCapacity)
- updateEndpointWeightsAndCapacitiesResponse_httpStatus :: Lens' UpdateEndpointWeightsAndCapacitiesResponse Int
- updateEndpointWeightsAndCapacitiesResponse_endpointArn :: Lens' UpdateEndpointWeightsAndCapacitiesResponse Text
- updateExperiment_description :: Lens' UpdateExperiment (Maybe Text)
- updateExperiment_displayName :: Lens' UpdateExperiment (Maybe Text)
- updateExperiment_experimentName :: Lens' UpdateExperiment Text
- updateExperimentResponse_experimentArn :: Lens' UpdateExperimentResponse (Maybe Text)
- updateExperimentResponse_httpStatus :: Lens' UpdateExperimentResponse Int
- updateFeatureGroup_featureAdditions :: Lens' UpdateFeatureGroup (Maybe (NonEmpty FeatureDefinition))
- updateFeatureGroup_featureGroupName :: Lens' UpdateFeatureGroup Text
- updateFeatureGroupResponse_httpStatus :: Lens' UpdateFeatureGroupResponse Int
- updateFeatureGroupResponse_featureGroupArn :: Lens' UpdateFeatureGroupResponse Text
- updateFeatureMetadata_description :: Lens' UpdateFeatureMetadata (Maybe Text)
- updateFeatureMetadata_parameterAdditions :: Lens' UpdateFeatureMetadata (Maybe [FeatureParameter])
- updateFeatureMetadata_parameterRemovals :: Lens' UpdateFeatureMetadata (Maybe [Text])
- updateFeatureMetadata_featureGroupName :: Lens' UpdateFeatureMetadata Text
- updateFeatureMetadata_featureName :: Lens' UpdateFeatureMetadata Text
- updateHub_hubDescription :: Lens' UpdateHub (Maybe Text)
- updateHub_hubDisplayName :: Lens' UpdateHub (Maybe Text)
- updateHub_hubSearchKeywords :: Lens' UpdateHub (Maybe [Text])
- updateHub_hubName :: Lens' UpdateHub Text
- updateHubResponse_httpStatus :: Lens' UpdateHubResponse Int
- updateHubResponse_hubArn :: Lens' UpdateHubResponse Text
- updateImage_deleteProperties :: Lens' UpdateImage (Maybe [Text])
- updateImage_description :: Lens' UpdateImage (Maybe Text)
- updateImage_displayName :: Lens' UpdateImage (Maybe Text)
- updateImage_roleArn :: Lens' UpdateImage (Maybe Text)
- updateImage_imageName :: Lens' UpdateImage Text
- updateImageResponse_imageArn :: Lens' UpdateImageResponse (Maybe Text)
- updateImageResponse_httpStatus :: Lens' UpdateImageResponse Int
- updateImageVersion_alias :: Lens' UpdateImageVersion (Maybe Text)
- updateImageVersion_aliasesToAdd :: Lens' UpdateImageVersion (Maybe [Text])
- updateImageVersion_aliasesToDelete :: Lens' UpdateImageVersion (Maybe [Text])
- updateImageVersion_horovod :: Lens' UpdateImageVersion (Maybe Bool)
- updateImageVersion_jobType :: Lens' UpdateImageVersion (Maybe JobType)
- updateImageVersion_mLFramework :: Lens' UpdateImageVersion (Maybe Text)
- updateImageVersion_processor :: Lens' UpdateImageVersion (Maybe Processor)
- updateImageVersion_programmingLang :: Lens' UpdateImageVersion (Maybe Text)
- updateImageVersion_releaseNotes :: Lens' UpdateImageVersion (Maybe Text)
- updateImageVersion_vendorGuidance :: Lens' UpdateImageVersion (Maybe VendorGuidance)
- updateImageVersion_version :: Lens' UpdateImageVersion (Maybe Natural)
- updateImageVersion_imageName :: Lens' UpdateImageVersion Text
- updateImageVersionResponse_imageVersionArn :: Lens' UpdateImageVersionResponse (Maybe Text)
- updateImageVersionResponse_httpStatus :: Lens' UpdateImageVersionResponse Int
- updateInferenceExperiment_dataStorageConfig :: Lens' UpdateInferenceExperiment (Maybe InferenceExperimentDataStorageConfig)
- updateInferenceExperiment_description :: Lens' UpdateInferenceExperiment (Maybe Text)
- updateInferenceExperiment_modelVariants :: Lens' UpdateInferenceExperiment (Maybe (NonEmpty ModelVariantConfig))
- updateInferenceExperiment_schedule :: Lens' UpdateInferenceExperiment (Maybe InferenceExperimentSchedule)
- updateInferenceExperiment_shadowModeConfig :: Lens' UpdateInferenceExperiment (Maybe ShadowModeConfig)
- updateInferenceExperiment_name :: Lens' UpdateInferenceExperiment Text
- updateInferenceExperimentResponse_httpStatus :: Lens' UpdateInferenceExperimentResponse Int
- updateInferenceExperimentResponse_inferenceExperimentArn :: Lens' UpdateInferenceExperimentResponse Text
- updateModelCard_content :: Lens' UpdateModelCard (Maybe Text)
- updateModelCard_modelCardStatus :: Lens' UpdateModelCard (Maybe ModelCardStatus)
- updateModelCard_modelCardName :: Lens' UpdateModelCard Text
- updateModelCardResponse_httpStatus :: Lens' UpdateModelCardResponse Int
- updateModelCardResponse_modelCardArn :: Lens' UpdateModelCardResponse Text
- updateModelPackage_additionalInferenceSpecificationsToAdd :: Lens' UpdateModelPackage (Maybe (NonEmpty AdditionalInferenceSpecificationDefinition))
- updateModelPackage_approvalDescription :: Lens' UpdateModelPackage (Maybe Text)
- updateModelPackage_customerMetadataProperties :: Lens' UpdateModelPackage (Maybe (HashMap Text Text))
- updateModelPackage_customerMetadataPropertiesToRemove :: Lens' UpdateModelPackage (Maybe [Text])
- updateModelPackage_modelApprovalStatus :: Lens' UpdateModelPackage (Maybe ModelApprovalStatus)
- updateModelPackage_modelPackageArn :: Lens' UpdateModelPackage Text
- updateModelPackageResponse_httpStatus :: Lens' UpdateModelPackageResponse Int
- updateModelPackageResponse_modelPackageArn :: Lens' UpdateModelPackageResponse Text
- updateMonitoringAlert_monitoringScheduleName :: Lens' UpdateMonitoringAlert Text
- updateMonitoringAlert_monitoringAlertName :: Lens' UpdateMonitoringAlert Text
- updateMonitoringAlert_datapointsToAlert :: Lens' UpdateMonitoringAlert Natural
- updateMonitoringAlert_evaluationPeriod :: Lens' UpdateMonitoringAlert Natural
- updateMonitoringAlertResponse_monitoringAlertName :: Lens' UpdateMonitoringAlertResponse (Maybe Text)
- updateMonitoringAlertResponse_httpStatus :: Lens' UpdateMonitoringAlertResponse Int
- updateMonitoringAlertResponse_monitoringScheduleArn :: Lens' UpdateMonitoringAlertResponse Text
- updateMonitoringSchedule_monitoringScheduleName :: Lens' UpdateMonitoringSchedule Text
- updateMonitoringSchedule_monitoringScheduleConfig :: Lens' UpdateMonitoringSchedule MonitoringScheduleConfig
- updateMonitoringScheduleResponse_httpStatus :: Lens' UpdateMonitoringScheduleResponse Int
- updateMonitoringScheduleResponse_monitoringScheduleArn :: Lens' UpdateMonitoringScheduleResponse Text
- updateNotebookInstance_acceleratorTypes :: Lens' UpdateNotebookInstance (Maybe [NotebookInstanceAcceleratorType])
- updateNotebookInstance_additionalCodeRepositories :: Lens' UpdateNotebookInstance (Maybe [Text])
- updateNotebookInstance_defaultCodeRepository :: Lens' UpdateNotebookInstance (Maybe Text)
- updateNotebookInstance_disassociateAcceleratorTypes :: Lens' UpdateNotebookInstance (Maybe Bool)
- updateNotebookInstance_disassociateAdditionalCodeRepositories :: Lens' UpdateNotebookInstance (Maybe Bool)
- updateNotebookInstance_disassociateDefaultCodeRepository :: Lens' UpdateNotebookInstance (Maybe Bool)
- updateNotebookInstance_disassociateLifecycleConfig :: Lens' UpdateNotebookInstance (Maybe Bool)
- updateNotebookInstance_instanceMetadataServiceConfiguration :: Lens' UpdateNotebookInstance (Maybe InstanceMetadataServiceConfiguration)
- updateNotebookInstance_instanceType :: Lens' UpdateNotebookInstance (Maybe InstanceType)
- updateNotebookInstance_lifecycleConfigName :: Lens' UpdateNotebookInstance (Maybe Text)
- updateNotebookInstance_roleArn :: Lens' UpdateNotebookInstance (Maybe Text)
- updateNotebookInstance_rootAccess :: Lens' UpdateNotebookInstance (Maybe RootAccess)
- updateNotebookInstance_volumeSizeInGB :: Lens' UpdateNotebookInstance (Maybe Natural)
- updateNotebookInstance_notebookInstanceName :: Lens' UpdateNotebookInstance Text
- updateNotebookInstanceResponse_httpStatus :: Lens' UpdateNotebookInstanceResponse Int
- updateNotebookInstanceLifecycleConfig_onCreate :: Lens' UpdateNotebookInstanceLifecycleConfig (Maybe [NotebookInstanceLifecycleHook])
- updateNotebookInstanceLifecycleConfig_onStart :: Lens' UpdateNotebookInstanceLifecycleConfig (Maybe [NotebookInstanceLifecycleHook])
- updateNotebookInstanceLifecycleConfig_notebookInstanceLifecycleConfigName :: Lens' UpdateNotebookInstanceLifecycleConfig Text
- updateNotebookInstanceLifecycleConfigResponse_httpStatus :: Lens' UpdateNotebookInstanceLifecycleConfigResponse Int
- updatePipeline_parallelismConfiguration :: Lens' UpdatePipeline (Maybe ParallelismConfiguration)
- updatePipeline_pipelineDefinition :: Lens' UpdatePipeline (Maybe Text)
- updatePipeline_pipelineDefinitionS3Location :: Lens' UpdatePipeline (Maybe PipelineDefinitionS3Location)
- updatePipeline_pipelineDescription :: Lens' UpdatePipeline (Maybe Text)
- updatePipeline_pipelineDisplayName :: Lens' UpdatePipeline (Maybe Text)
- updatePipeline_roleArn :: Lens' UpdatePipeline (Maybe Text)
- updatePipeline_pipelineName :: Lens' UpdatePipeline Text
- updatePipelineResponse_pipelineArn :: Lens' UpdatePipelineResponse (Maybe Text)
- updatePipelineResponse_httpStatus :: Lens' UpdatePipelineResponse Int
- updatePipelineExecution_parallelismConfiguration :: Lens' UpdatePipelineExecution (Maybe ParallelismConfiguration)
- updatePipelineExecution_pipelineExecutionDescription :: Lens' UpdatePipelineExecution (Maybe Text)
- updatePipelineExecution_pipelineExecutionDisplayName :: Lens' UpdatePipelineExecution (Maybe Text)
- updatePipelineExecution_pipelineExecutionArn :: Lens' UpdatePipelineExecution Text
- updatePipelineExecutionResponse_pipelineExecutionArn :: Lens' UpdatePipelineExecutionResponse (Maybe Text)
- updatePipelineExecutionResponse_httpStatus :: Lens' UpdatePipelineExecutionResponse Int
- updateProject_projectDescription :: Lens' UpdateProject (Maybe Text)
- updateProject_serviceCatalogProvisioningUpdateDetails :: Lens' UpdateProject (Maybe ServiceCatalogProvisioningUpdateDetails)
- updateProject_tags :: Lens' UpdateProject (Maybe [Tag])
- updateProject_projectName :: Lens' UpdateProject Text
- updateProjectResponse_httpStatus :: Lens' UpdateProjectResponse Int
- updateProjectResponse_projectArn :: Lens' UpdateProjectResponse Text
- updateSpace_spaceSettings :: Lens' UpdateSpace (Maybe SpaceSettings)
- updateSpace_domainId :: Lens' UpdateSpace Text
- updateSpace_spaceName :: Lens' UpdateSpace Text
- updateSpaceResponse_spaceArn :: Lens' UpdateSpaceResponse (Maybe Text)
- updateSpaceResponse_httpStatus :: Lens' UpdateSpaceResponse Int
- updateTrainingJob_profilerConfig :: Lens' UpdateTrainingJob (Maybe ProfilerConfigForUpdate)
- updateTrainingJob_profilerRuleConfigurations :: Lens' UpdateTrainingJob (Maybe [ProfilerRuleConfiguration])
- updateTrainingJob_resourceConfig :: Lens' UpdateTrainingJob (Maybe ResourceConfigForUpdate)
- updateTrainingJob_trainingJobName :: Lens' UpdateTrainingJob Text
- updateTrainingJobResponse_httpStatus :: Lens' UpdateTrainingJobResponse Int
- updateTrainingJobResponse_trainingJobArn :: Lens' UpdateTrainingJobResponse Text
- updateTrial_displayName :: Lens' UpdateTrial (Maybe Text)
- updateTrial_trialName :: Lens' UpdateTrial Text
- updateTrialResponse_trialArn :: Lens' UpdateTrialResponse (Maybe Text)
- updateTrialResponse_httpStatus :: Lens' UpdateTrialResponse Int
- updateTrialComponent_displayName :: Lens' UpdateTrialComponent (Maybe Text)
- updateTrialComponent_endTime :: Lens' UpdateTrialComponent (Maybe UTCTime)
- updateTrialComponent_inputArtifacts :: Lens' UpdateTrialComponent (Maybe (HashMap Text TrialComponentArtifact))
- updateTrialComponent_inputArtifactsToRemove :: Lens' UpdateTrialComponent (Maybe [Text])
- updateTrialComponent_outputArtifacts :: Lens' UpdateTrialComponent (Maybe (HashMap Text TrialComponentArtifact))
- updateTrialComponent_outputArtifactsToRemove :: Lens' UpdateTrialComponent (Maybe [Text])
- updateTrialComponent_parameters :: Lens' UpdateTrialComponent (Maybe (HashMap Text TrialComponentParameterValue))
- updateTrialComponent_parametersToRemove :: Lens' UpdateTrialComponent (Maybe [Text])
- updateTrialComponent_startTime :: Lens' UpdateTrialComponent (Maybe UTCTime)
- updateTrialComponent_status :: Lens' UpdateTrialComponent (Maybe TrialComponentStatus)
- updateTrialComponent_trialComponentName :: Lens' UpdateTrialComponent Text
- updateTrialComponentResponse_trialComponentArn :: Lens' UpdateTrialComponentResponse (Maybe Text)
- updateTrialComponentResponse_httpStatus :: Lens' UpdateTrialComponentResponse Int
- updateUserProfile_userSettings :: Lens' UpdateUserProfile (Maybe UserSettings)
- updateUserProfile_domainId :: Lens' UpdateUserProfile Text
- updateUserProfile_userProfileName :: Lens' UpdateUserProfile Text
- updateUserProfileResponse_userProfileArn :: Lens' UpdateUserProfileResponse (Maybe Text)
- updateUserProfileResponse_httpStatus :: Lens' UpdateUserProfileResponse Int
- updateWorkforce_oidcConfig :: Lens' UpdateWorkforce (Maybe OidcConfig)
- updateWorkforce_sourceIpConfig :: Lens' UpdateWorkforce (Maybe SourceIpConfig)
- updateWorkforce_workforceVpcConfig :: Lens' UpdateWorkforce (Maybe WorkforceVpcConfigRequest)
- updateWorkforce_workforceName :: Lens' UpdateWorkforce Text
- updateWorkforceResponse_httpStatus :: Lens' UpdateWorkforceResponse Int
- updateWorkforceResponse_workforce :: Lens' UpdateWorkforceResponse Workforce
- updateWorkteam_description :: Lens' UpdateWorkteam (Maybe Text)
- updateWorkteam_memberDefinitions :: Lens' UpdateWorkteam (Maybe (NonEmpty MemberDefinition))
- updateWorkteam_notificationConfiguration :: Lens' UpdateWorkteam (Maybe NotificationConfiguration)
- updateWorkteam_workteamName :: Lens' UpdateWorkteam Text
- updateWorkteamResponse_httpStatus :: Lens' UpdateWorkteamResponse Int
- updateWorkteamResponse_workteam :: Lens' UpdateWorkteamResponse Workteam
- actionSource_sourceId :: Lens' ActionSource (Maybe Text)
- actionSource_sourceType :: Lens' ActionSource (Maybe Text)
- actionSource_sourceUri :: Lens' ActionSource Text
- actionSummary_actionArn :: Lens' ActionSummary (Maybe Text)
- actionSummary_actionName :: Lens' ActionSummary (Maybe Text)
- actionSummary_actionType :: Lens' ActionSummary (Maybe Text)
- actionSummary_creationTime :: Lens' ActionSummary (Maybe UTCTime)
- actionSummary_lastModifiedTime :: Lens' ActionSummary (Maybe UTCTime)
- actionSummary_source :: Lens' ActionSummary (Maybe ActionSource)
- actionSummary_status :: Lens' ActionSummary (Maybe ActionStatus)
- additionalInferenceSpecificationDefinition_description :: Lens' AdditionalInferenceSpecificationDefinition (Maybe Text)
- additionalInferenceSpecificationDefinition_supportedContentTypes :: Lens' AdditionalInferenceSpecificationDefinition (Maybe [Text])
- additionalInferenceSpecificationDefinition_supportedRealtimeInferenceInstanceTypes :: Lens' AdditionalInferenceSpecificationDefinition (Maybe [ProductionVariantInstanceType])
- additionalInferenceSpecificationDefinition_supportedResponseMIMETypes :: Lens' AdditionalInferenceSpecificationDefinition (Maybe [Text])
- additionalInferenceSpecificationDefinition_supportedTransformInstanceTypes :: Lens' AdditionalInferenceSpecificationDefinition (Maybe (NonEmpty TransformInstanceType))
- additionalInferenceSpecificationDefinition_name :: Lens' AdditionalInferenceSpecificationDefinition Text
- additionalInferenceSpecificationDefinition_containers :: Lens' AdditionalInferenceSpecificationDefinition (NonEmpty ModelPackageContainerDefinition)
- agentVersion_version :: Lens' AgentVersion Text
- agentVersion_agentCount :: Lens' AgentVersion Integer
- alarm_alarmName :: Lens' Alarm (Maybe Text)
- algorithmSpecification_algorithmName :: Lens' AlgorithmSpecification (Maybe Text)
- algorithmSpecification_containerArguments :: Lens' AlgorithmSpecification (Maybe (NonEmpty Text))
- algorithmSpecification_containerEntrypoint :: Lens' AlgorithmSpecification (Maybe (NonEmpty Text))
- algorithmSpecification_enableSageMakerMetricsTimeSeries :: Lens' AlgorithmSpecification (Maybe Bool)
- algorithmSpecification_metricDefinitions :: Lens' AlgorithmSpecification (Maybe [MetricDefinition])
- algorithmSpecification_trainingImage :: Lens' AlgorithmSpecification (Maybe Text)
- algorithmSpecification_trainingInputMode :: Lens' AlgorithmSpecification TrainingInputMode
- algorithmStatusDetails_imageScanStatuses :: Lens' AlgorithmStatusDetails (Maybe [AlgorithmStatusItem])
- algorithmStatusDetails_validationStatuses :: Lens' AlgorithmStatusDetails (Maybe [AlgorithmStatusItem])
- algorithmStatusItem_failureReason :: Lens' AlgorithmStatusItem (Maybe Text)
- algorithmStatusItem_name :: Lens' AlgorithmStatusItem Text
- algorithmStatusItem_status :: Lens' AlgorithmStatusItem DetailedAlgorithmStatus
- algorithmSummary_algorithmDescription :: Lens' AlgorithmSummary (Maybe Text)
- algorithmSummary_algorithmName :: Lens' AlgorithmSummary Text
- algorithmSummary_algorithmArn :: Lens' AlgorithmSummary Text
- algorithmSummary_creationTime :: Lens' AlgorithmSummary UTCTime
- algorithmSummary_algorithmStatus :: Lens' AlgorithmSummary AlgorithmStatus
- algorithmValidationProfile_transformJobDefinition :: Lens' AlgorithmValidationProfile (Maybe TransformJobDefinition)
- algorithmValidationProfile_profileName :: Lens' AlgorithmValidationProfile Text
- algorithmValidationProfile_trainingJobDefinition :: Lens' AlgorithmValidationProfile TrainingJobDefinition
- algorithmValidationSpecification_validationRole :: Lens' AlgorithmValidationSpecification Text
- algorithmValidationSpecification_validationProfiles :: Lens' AlgorithmValidationSpecification (NonEmpty AlgorithmValidationProfile)
- annotationConsolidationConfig_annotationConsolidationLambdaArn :: Lens' AnnotationConsolidationConfig Text
- appDetails_appName :: Lens' AppDetails (Maybe Text)
- appDetails_appType :: Lens' AppDetails (Maybe AppType)
- appDetails_creationTime :: Lens' AppDetails (Maybe UTCTime)
- appDetails_domainId :: Lens' AppDetails (Maybe Text)
- appDetails_spaceName :: Lens' AppDetails (Maybe Text)
- appDetails_status :: Lens' AppDetails (Maybe AppStatus)
- appDetails_userProfileName :: Lens' AppDetails (Maybe Text)
- appImageConfigDetails_appImageConfigArn :: Lens' AppImageConfigDetails (Maybe Text)
- appImageConfigDetails_appImageConfigName :: Lens' AppImageConfigDetails (Maybe Text)
- appImageConfigDetails_creationTime :: Lens' AppImageConfigDetails (Maybe UTCTime)
- appImageConfigDetails_kernelGatewayImageConfig :: Lens' AppImageConfigDetails (Maybe KernelGatewayImageConfig)
- appImageConfigDetails_lastModifiedTime :: Lens' AppImageConfigDetails (Maybe UTCTime)
- appSpecification_containerArguments :: Lens' AppSpecification (Maybe (NonEmpty Text))
- appSpecification_containerEntrypoint :: Lens' AppSpecification (Maybe (NonEmpty Text))
- appSpecification_imageUri :: Lens' AppSpecification Text
- artifactSource_sourceTypes :: Lens' ArtifactSource (Maybe [ArtifactSourceType])
- artifactSource_sourceUri :: Lens' ArtifactSource Text
- artifactSourceType_sourceIdType :: Lens' ArtifactSourceType ArtifactSourceIdType
- artifactSourceType_value :: Lens' ArtifactSourceType Text
- artifactSummary_artifactArn :: Lens' ArtifactSummary (Maybe Text)
- artifactSummary_artifactName :: Lens' ArtifactSummary (Maybe Text)
- artifactSummary_artifactType :: Lens' ArtifactSummary (Maybe Text)
- artifactSummary_creationTime :: Lens' ArtifactSummary (Maybe UTCTime)
- artifactSummary_lastModifiedTime :: Lens' ArtifactSummary (Maybe UTCTime)
- artifactSummary_source :: Lens' ArtifactSummary (Maybe ArtifactSource)
- associationSummary_associationType :: Lens' AssociationSummary (Maybe AssociationEdgeType)
- associationSummary_createdBy :: Lens' AssociationSummary (Maybe UserContext)
- associationSummary_creationTime :: Lens' AssociationSummary (Maybe UTCTime)
- associationSummary_destinationArn :: Lens' AssociationSummary (Maybe Text)
- associationSummary_destinationName :: Lens' AssociationSummary (Maybe Text)
- associationSummary_destinationType :: Lens' AssociationSummary (Maybe Text)
- associationSummary_sourceArn :: Lens' AssociationSummary (Maybe Text)
- associationSummary_sourceName :: Lens' AssociationSummary (Maybe Text)
- associationSummary_sourceType :: Lens' AssociationSummary (Maybe Text)
- asyncInferenceClientConfig_maxConcurrentInvocationsPerInstance :: Lens' AsyncInferenceClientConfig (Maybe Natural)
- asyncInferenceConfig_clientConfig :: Lens' AsyncInferenceConfig (Maybe AsyncInferenceClientConfig)
- asyncInferenceConfig_outputConfig :: Lens' AsyncInferenceConfig AsyncInferenceOutputConfig
- asyncInferenceNotificationConfig_errorTopic :: Lens' AsyncInferenceNotificationConfig (Maybe Text)
- asyncInferenceNotificationConfig_successTopic :: Lens' AsyncInferenceNotificationConfig (Maybe Text)
- asyncInferenceOutputConfig_kmsKeyId :: Lens' AsyncInferenceOutputConfig (Maybe Text)
- asyncInferenceOutputConfig_notificationConfig :: Lens' AsyncInferenceOutputConfig (Maybe AsyncInferenceNotificationConfig)
- asyncInferenceOutputConfig_s3OutputPath :: Lens' AsyncInferenceOutputConfig Text
- athenaDatasetDefinition_kmsKeyId :: Lens' AthenaDatasetDefinition (Maybe Text)
- athenaDatasetDefinition_outputCompression :: Lens' AthenaDatasetDefinition (Maybe AthenaResultCompressionType)
- athenaDatasetDefinition_workGroup :: Lens' AthenaDatasetDefinition (Maybe Text)
- athenaDatasetDefinition_catalog :: Lens' AthenaDatasetDefinition Text
- athenaDatasetDefinition_database :: Lens' AthenaDatasetDefinition Text
- athenaDatasetDefinition_queryString :: Lens' AthenaDatasetDefinition Text
- athenaDatasetDefinition_outputS3Uri :: Lens' AthenaDatasetDefinition Text
- athenaDatasetDefinition_outputFormat :: Lens' AthenaDatasetDefinition AthenaResultFormat
- autoMLCandidate_candidateProperties :: Lens' AutoMLCandidate (Maybe CandidateProperties)
- autoMLCandidate_endTime :: Lens' AutoMLCandidate (Maybe UTCTime)
- autoMLCandidate_failureReason :: Lens' AutoMLCandidate (Maybe Text)
- autoMLCandidate_finalAutoMLJobObjectiveMetric :: Lens' AutoMLCandidate (Maybe FinalAutoMLJobObjectiveMetric)
- autoMLCandidate_inferenceContainers :: Lens' AutoMLCandidate (Maybe [AutoMLContainerDefinition])
- autoMLCandidate_candidateName :: Lens' AutoMLCandidate Text
- autoMLCandidate_objectiveStatus :: Lens' AutoMLCandidate ObjectiveStatus
- autoMLCandidate_candidateSteps :: Lens' AutoMLCandidate [AutoMLCandidateStep]
- autoMLCandidate_candidateStatus :: Lens' AutoMLCandidate CandidateStatus
- autoMLCandidate_creationTime :: Lens' AutoMLCandidate UTCTime
- autoMLCandidate_lastModifiedTime :: Lens' AutoMLCandidate UTCTime
- autoMLCandidateGenerationConfig_featureSpecificationS3Uri :: Lens' AutoMLCandidateGenerationConfig (Maybe Text)
- autoMLCandidateStep_candidateStepType :: Lens' AutoMLCandidateStep CandidateStepType
- autoMLCandidateStep_candidateStepArn :: Lens' AutoMLCandidateStep Text
- autoMLCandidateStep_candidateStepName :: Lens' AutoMLCandidateStep Text
- autoMLChannel_channelType :: Lens' AutoMLChannel (Maybe AutoMLChannelType)
- autoMLChannel_compressionType :: Lens' AutoMLChannel (Maybe CompressionType)
- autoMLChannel_contentType :: Lens' AutoMLChannel (Maybe Text)
- autoMLChannel_dataSource :: Lens' AutoMLChannel AutoMLDataSource
- autoMLChannel_targetAttributeName :: Lens' AutoMLChannel Text
- autoMLContainerDefinition_environment :: Lens' AutoMLContainerDefinition (Maybe (HashMap Text Text))
- autoMLContainerDefinition_image :: Lens' AutoMLContainerDefinition Text
- autoMLContainerDefinition_modelDataUrl :: Lens' AutoMLContainerDefinition Text
- autoMLDataSource_s3DataSource :: Lens' AutoMLDataSource AutoMLS3DataSource
- autoMLDataSplitConfig_validationFraction :: Lens' AutoMLDataSplitConfig (Maybe Double)
- autoMLJobArtifacts_candidateDefinitionNotebookLocation :: Lens' AutoMLJobArtifacts (Maybe Text)
- autoMLJobArtifacts_dataExplorationNotebookLocation :: Lens' AutoMLJobArtifacts (Maybe Text)
- autoMLJobCompletionCriteria_maxAutoMLJobRuntimeInSeconds :: Lens' AutoMLJobCompletionCriteria (Maybe Natural)
- autoMLJobCompletionCriteria_maxCandidates :: Lens' AutoMLJobCompletionCriteria (Maybe Natural)
- autoMLJobCompletionCriteria_maxRuntimePerTrainingJobInSeconds :: Lens' AutoMLJobCompletionCriteria (Maybe Natural)
- autoMLJobConfig_candidateGenerationConfig :: Lens' AutoMLJobConfig (Maybe AutoMLCandidateGenerationConfig)
- autoMLJobConfig_completionCriteria :: Lens' AutoMLJobConfig (Maybe AutoMLJobCompletionCriteria)
- autoMLJobConfig_dataSplitConfig :: Lens' AutoMLJobConfig (Maybe AutoMLDataSplitConfig)
- autoMLJobConfig_mode :: Lens' AutoMLJobConfig (Maybe AutoMLMode)
- autoMLJobConfig_securityConfig :: Lens' AutoMLJobConfig (Maybe AutoMLSecurityConfig)
- autoMLJobObjective_metricName :: Lens' AutoMLJobObjective AutoMLMetricEnum
- autoMLJobStepMetadata_arn :: Lens' AutoMLJobStepMetadata (Maybe Text)
- autoMLJobSummary_endTime :: Lens' AutoMLJobSummary (Maybe UTCTime)
- autoMLJobSummary_failureReason :: Lens' AutoMLJobSummary (Maybe Text)
- autoMLJobSummary_partialFailureReasons :: Lens' AutoMLJobSummary (Maybe (NonEmpty AutoMLPartialFailureReason))
- autoMLJobSummary_autoMLJobName :: Lens' AutoMLJobSummary Text
- autoMLJobSummary_autoMLJobArn :: Lens' AutoMLJobSummary Text
- autoMLJobSummary_autoMLJobStatus :: Lens' AutoMLJobSummary AutoMLJobStatus
- autoMLJobSummary_autoMLJobSecondaryStatus :: Lens' AutoMLJobSummary AutoMLJobSecondaryStatus
- autoMLJobSummary_creationTime :: Lens' AutoMLJobSummary UTCTime
- autoMLJobSummary_lastModifiedTime :: Lens' AutoMLJobSummary UTCTime
- autoMLOutputDataConfig_kmsKeyId :: Lens' AutoMLOutputDataConfig (Maybe Text)
- autoMLOutputDataConfig_s3OutputPath :: Lens' AutoMLOutputDataConfig Text
- autoMLPartialFailureReason_partialFailureMessage :: Lens' AutoMLPartialFailureReason (Maybe Text)
- autoMLS3DataSource_s3DataType :: Lens' AutoMLS3DataSource AutoMLS3DataType
- autoMLS3DataSource_s3Uri :: Lens' AutoMLS3DataSource Text
- autoMLSecurityConfig_enableInterContainerTrafficEncryption :: Lens' AutoMLSecurityConfig (Maybe Bool)
- autoMLSecurityConfig_volumeKmsKeyId :: Lens' AutoMLSecurityConfig (Maybe Text)
- autoMLSecurityConfig_vpcConfig :: Lens' AutoMLSecurityConfig (Maybe VpcConfig)
- autoRollbackConfig_alarms :: Lens' AutoRollbackConfig (Maybe (NonEmpty Alarm))
- batchDataCaptureConfig_generateInferenceId :: Lens' BatchDataCaptureConfig (Maybe Bool)
- batchDataCaptureConfig_kmsKeyId :: Lens' BatchDataCaptureConfig (Maybe Text)
- batchDataCaptureConfig_destinationS3Uri :: Lens' BatchDataCaptureConfig Text
- batchDescribeModelPackageError_errorCode :: Lens' BatchDescribeModelPackageError Text
- batchDescribeModelPackageError_errorResponse :: Lens' BatchDescribeModelPackageError Text
- batchDescribeModelPackageSummary_modelApprovalStatus :: Lens' BatchDescribeModelPackageSummary (Maybe ModelApprovalStatus)
- batchDescribeModelPackageSummary_modelPackageDescription :: Lens' BatchDescribeModelPackageSummary (Maybe Text)
- batchDescribeModelPackageSummary_modelPackageVersion :: Lens' BatchDescribeModelPackageSummary (Maybe Natural)
- batchDescribeModelPackageSummary_modelPackageGroupName :: Lens' BatchDescribeModelPackageSummary Text
- batchDescribeModelPackageSummary_modelPackageArn :: Lens' BatchDescribeModelPackageSummary Text
- batchDescribeModelPackageSummary_creationTime :: Lens' BatchDescribeModelPackageSummary UTCTime
- batchDescribeModelPackageSummary_inferenceSpecification :: Lens' BatchDescribeModelPackageSummary InferenceSpecification
- batchDescribeModelPackageSummary_modelPackageStatus :: Lens' BatchDescribeModelPackageSummary ModelPackageStatus
- batchTransformInput_endTimeOffset :: Lens' BatchTransformInput (Maybe Text)
- batchTransformInput_featuresAttribute :: Lens' BatchTransformInput (Maybe Text)
- batchTransformInput_inferenceAttribute :: Lens' BatchTransformInput (Maybe Text)
- batchTransformInput_probabilityAttribute :: Lens' BatchTransformInput (Maybe Text)
- batchTransformInput_probabilityThresholdAttribute :: Lens' BatchTransformInput (Maybe Double)
- batchTransformInput_s3DataDistributionType :: Lens' BatchTransformInput (Maybe ProcessingS3DataDistributionType)
- batchTransformInput_s3InputMode :: Lens' BatchTransformInput (Maybe ProcessingS3InputMode)
- batchTransformInput_startTimeOffset :: Lens' BatchTransformInput (Maybe Text)
- batchTransformInput_dataCapturedDestinationS3Uri :: Lens' BatchTransformInput Text
- batchTransformInput_datasetFormat :: Lens' BatchTransformInput MonitoringDatasetFormat
- batchTransformInput_localPath :: Lens' BatchTransformInput Text
- bias_postTrainingReport :: Lens' Bias (Maybe MetricsSource)
- bias_preTrainingReport :: Lens' Bias (Maybe MetricsSource)
- bias_report :: Lens' Bias (Maybe MetricsSource)
- blueGreenUpdatePolicy_maximumExecutionTimeoutInSeconds :: Lens' BlueGreenUpdatePolicy (Maybe Natural)
- blueGreenUpdatePolicy_terminationWaitInSeconds :: Lens' BlueGreenUpdatePolicy (Maybe Natural)
- blueGreenUpdatePolicy_trafficRoutingConfiguration :: Lens' BlueGreenUpdatePolicy TrafficRoutingConfig
- cacheHitResult_sourcePipelineExecutionArn :: Lens' CacheHitResult (Maybe Text)
- callbackStepMetadata_callbackToken :: Lens' CallbackStepMetadata (Maybe Text)
- callbackStepMetadata_outputParameters :: Lens' CallbackStepMetadata (Maybe [OutputParameter])
- callbackStepMetadata_sqsQueueUrl :: Lens' CallbackStepMetadata (Maybe Text)
- candidateArtifactLocations_modelInsights :: Lens' CandidateArtifactLocations (Maybe Text)
- candidateArtifactLocations_explainability :: Lens' CandidateArtifactLocations Text
- candidateProperties_candidateArtifactLocations :: Lens' CandidateProperties (Maybe CandidateArtifactLocations)
- candidateProperties_candidateMetrics :: Lens' CandidateProperties (Maybe [MetricDatum])
- canvasAppSettings_timeSeriesForecastingSettings :: Lens' CanvasAppSettings (Maybe TimeSeriesForecastingSettings)
- capacitySize_type :: Lens' CapacitySize CapacitySizeType
- capacitySize_value :: Lens' CapacitySize Natural
- captureContentTypeHeader_csvContentTypes :: Lens' CaptureContentTypeHeader (Maybe (NonEmpty Text))
- captureContentTypeHeader_jsonContentTypes :: Lens' CaptureContentTypeHeader (Maybe (NonEmpty Text))
- captureOption_captureMode :: Lens' CaptureOption CaptureMode
- categoricalParameter_name :: Lens' CategoricalParameter Text
- categoricalParameter_value :: Lens' CategoricalParameter (NonEmpty Text)
- categoricalParameterRange_name :: Lens' CategoricalParameterRange Text
- categoricalParameterRange_values :: Lens' CategoricalParameterRange (NonEmpty Text)
- categoricalParameterRangeSpecification_values :: Lens' CategoricalParameterRangeSpecification (NonEmpty Text)
- channel_compressionType :: Lens' Channel (Maybe CompressionType)
- channel_contentType :: Lens' Channel (Maybe Text)
- channel_inputMode :: Lens' Channel (Maybe TrainingInputMode)
- channel_recordWrapperType :: Lens' Channel (Maybe RecordWrapper)
- channel_shuffleConfig :: Lens' Channel (Maybe ShuffleConfig)
- channel_channelName :: Lens' Channel Text
- channel_dataSource :: Lens' Channel DataSource
- channelSpecification_description :: Lens' ChannelSpecification (Maybe Text)
- channelSpecification_isRequired :: Lens' ChannelSpecification (Maybe Bool)
- channelSpecification_supportedCompressionTypes :: Lens' ChannelSpecification (Maybe [CompressionType])
- channelSpecification_name :: Lens' ChannelSpecification Text
- channelSpecification_supportedContentTypes :: Lens' ChannelSpecification [Text]
- channelSpecification_supportedInputModes :: Lens' ChannelSpecification (NonEmpty TrainingInputMode)
- checkpointConfig_localPath :: Lens' CheckpointConfig (Maybe Text)
- checkpointConfig_s3Uri :: Lens' CheckpointConfig Text
- clarifyCheckStepMetadata_baselineUsedForDriftCheckConstraints :: Lens' ClarifyCheckStepMetadata (Maybe Text)
- clarifyCheckStepMetadata_calculatedBaselineConstraints :: Lens' ClarifyCheckStepMetadata (Maybe Text)
- clarifyCheckStepMetadata_checkJobArn :: Lens' ClarifyCheckStepMetadata (Maybe Text)
- clarifyCheckStepMetadata_checkType :: Lens' ClarifyCheckStepMetadata (Maybe Text)
- clarifyCheckStepMetadata_modelPackageGroupName :: Lens' ClarifyCheckStepMetadata (Maybe Text)
- clarifyCheckStepMetadata_registerNewBaseline :: Lens' ClarifyCheckStepMetadata (Maybe Bool)
- clarifyCheckStepMetadata_skipCheck :: Lens' ClarifyCheckStepMetadata (Maybe Bool)
- clarifyCheckStepMetadata_violationReport :: Lens' ClarifyCheckStepMetadata (Maybe Text)
- clarifyExplainerConfig_enableExplanations :: Lens' ClarifyExplainerConfig (Maybe Text)
- clarifyExplainerConfig_inferenceConfig :: Lens' ClarifyExplainerConfig (Maybe ClarifyInferenceConfig)
- clarifyExplainerConfig_shapConfig :: Lens' ClarifyExplainerConfig ClarifyShapConfig
- clarifyInferenceConfig_contentTemplate :: Lens' ClarifyInferenceConfig (Maybe Text)
- clarifyInferenceConfig_featureHeaders :: Lens' ClarifyInferenceConfig (Maybe (NonEmpty Text))
- clarifyInferenceConfig_featureTypes :: Lens' ClarifyInferenceConfig (Maybe (NonEmpty ClarifyFeatureType))
- clarifyInferenceConfig_featuresAttribute :: Lens' ClarifyInferenceConfig (Maybe Text)
- clarifyInferenceConfig_labelAttribute :: Lens' ClarifyInferenceConfig (Maybe Text)
- clarifyInferenceConfig_labelHeaders :: Lens' ClarifyInferenceConfig (Maybe (NonEmpty Text))
- clarifyInferenceConfig_labelIndex :: Lens' ClarifyInferenceConfig (Maybe Natural)
- clarifyInferenceConfig_maxPayloadInMB :: Lens' ClarifyInferenceConfig (Maybe Natural)
- clarifyInferenceConfig_maxRecordCount :: Lens' ClarifyInferenceConfig (Maybe Natural)
- clarifyInferenceConfig_probabilityAttribute :: Lens' ClarifyInferenceConfig (Maybe Text)
- clarifyInferenceConfig_probabilityIndex :: Lens' ClarifyInferenceConfig (Maybe Natural)
- clarifyShapBaselineConfig_mimeType :: Lens' ClarifyShapBaselineConfig (Maybe Text)
- clarifyShapBaselineConfig_shapBaseline :: Lens' ClarifyShapBaselineConfig (Maybe Text)
- clarifyShapBaselineConfig_shapBaselineUri :: Lens' ClarifyShapBaselineConfig (Maybe Text)
- clarifyShapConfig_numberOfSamples :: Lens' ClarifyShapConfig (Maybe Natural)
- clarifyShapConfig_seed :: Lens' ClarifyShapConfig (Maybe Int)
- clarifyShapConfig_textConfig :: Lens' ClarifyShapConfig (Maybe ClarifyTextConfig)
- clarifyShapConfig_useLogit :: Lens' ClarifyShapConfig (Maybe Bool)
- clarifyShapConfig_shapBaselineConfig :: Lens' ClarifyShapConfig ClarifyShapBaselineConfig
- clarifyTextConfig_language :: Lens' ClarifyTextConfig ClarifyTextLanguage
- clarifyTextConfig_granularity :: Lens' ClarifyTextConfig ClarifyTextGranularity
- codeRepository_repositoryUrl :: Lens' CodeRepository Text
- codeRepositorySummary_gitConfig :: Lens' CodeRepositorySummary (Maybe GitConfig)
- codeRepositorySummary_codeRepositoryName :: Lens' CodeRepositorySummary Text
- codeRepositorySummary_codeRepositoryArn :: Lens' CodeRepositorySummary Text
- codeRepositorySummary_creationTime :: Lens' CodeRepositorySummary UTCTime
- codeRepositorySummary_lastModifiedTime :: Lens' CodeRepositorySummary UTCTime
- cognitoConfig_userPool :: Lens' CognitoConfig Text
- cognitoConfig_clientId :: Lens' CognitoConfig Text
- cognitoMemberDefinition_userPool :: Lens' CognitoMemberDefinition Text
- cognitoMemberDefinition_userGroup :: Lens' CognitoMemberDefinition Text
- cognitoMemberDefinition_clientId :: Lens' CognitoMemberDefinition Text
- collectionConfiguration_collectionName :: Lens' CollectionConfiguration (Maybe Text)
- collectionConfiguration_collectionParameters :: Lens' CollectionConfiguration (Maybe (HashMap Text Text))
- compilationJobSummary_compilationEndTime :: Lens' CompilationJobSummary (Maybe UTCTime)
- compilationJobSummary_compilationStartTime :: Lens' CompilationJobSummary (Maybe UTCTime)
- compilationJobSummary_compilationTargetDevice :: Lens' CompilationJobSummary (Maybe TargetDevice)
- compilationJobSummary_compilationTargetPlatformAccelerator :: Lens' CompilationJobSummary (Maybe TargetPlatformAccelerator)
- compilationJobSummary_compilationTargetPlatformArch :: Lens' CompilationJobSummary (Maybe TargetPlatformArch)
- compilationJobSummary_compilationTargetPlatformOs :: Lens' CompilationJobSummary (Maybe TargetPlatformOs)
- compilationJobSummary_lastModifiedTime :: Lens' CompilationJobSummary (Maybe UTCTime)
- compilationJobSummary_compilationJobName :: Lens' CompilationJobSummary Text
- compilationJobSummary_compilationJobArn :: Lens' CompilationJobSummary Text
- compilationJobSummary_creationTime :: Lens' CompilationJobSummary UTCTime
- compilationJobSummary_compilationJobStatus :: Lens' CompilationJobSummary CompilationJobStatus
- conditionStepMetadata_outcome :: Lens' ConditionStepMetadata (Maybe ConditionOutcome)
- containerDefinition_containerHostname :: Lens' ContainerDefinition (Maybe Text)
- containerDefinition_environment :: Lens' ContainerDefinition (Maybe (HashMap Text Text))
- containerDefinition_image :: Lens' ContainerDefinition (Maybe Text)
- containerDefinition_imageConfig :: Lens' ContainerDefinition (Maybe ImageConfig)
- containerDefinition_inferenceSpecificationName :: Lens' ContainerDefinition (Maybe Text)
- containerDefinition_mode :: Lens' ContainerDefinition (Maybe ContainerMode)
- containerDefinition_modelDataUrl :: Lens' ContainerDefinition (Maybe Text)
- containerDefinition_modelPackageName :: Lens' ContainerDefinition (Maybe Text)
- containerDefinition_multiModelConfig :: Lens' ContainerDefinition (Maybe MultiModelConfig)
- contextSource_sourceId :: Lens' ContextSource (Maybe Text)
- contextSource_sourceType :: Lens' ContextSource (Maybe Text)
- contextSource_sourceUri :: Lens' ContextSource Text
- contextSummary_contextArn :: Lens' ContextSummary (Maybe Text)
- contextSummary_contextName :: Lens' ContextSummary (Maybe Text)
- contextSummary_contextType :: Lens' ContextSummary (Maybe Text)
- contextSummary_creationTime :: Lens' ContextSummary (Maybe UTCTime)
- contextSummary_lastModifiedTime :: Lens' ContextSummary (Maybe UTCTime)
- contextSummary_source :: Lens' ContextSummary (Maybe ContextSource)
- continuousParameterRange_scalingType :: Lens' ContinuousParameterRange (Maybe HyperParameterScalingType)
- continuousParameterRange_name :: Lens' ContinuousParameterRange Text
- continuousParameterRange_minValue :: Lens' ContinuousParameterRange Text
- continuousParameterRange_maxValue :: Lens' ContinuousParameterRange Text
- continuousParameterRangeSpecification_minValue :: Lens' ContinuousParameterRangeSpecification Text
- continuousParameterRangeSpecification_maxValue :: Lens' ContinuousParameterRangeSpecification Text
- customImage_imageVersionNumber :: Lens' CustomImage (Maybe Natural)
- customImage_imageName :: Lens' CustomImage Text
- customImage_appImageConfigName :: Lens' CustomImage Text
- dataCaptureConfig_captureContentTypeHeader :: Lens' DataCaptureConfig (Maybe CaptureContentTypeHeader)
- dataCaptureConfig_enableCapture :: Lens' DataCaptureConfig (Maybe Bool)
- dataCaptureConfig_kmsKeyId :: Lens' DataCaptureConfig (Maybe Text)
- dataCaptureConfig_initialSamplingPercentage :: Lens' DataCaptureConfig Natural
- dataCaptureConfig_destinationS3Uri :: Lens' DataCaptureConfig Text
- dataCaptureConfig_captureOptions :: Lens' DataCaptureConfig (NonEmpty CaptureOption)
- dataCaptureConfigSummary_enableCapture :: Lens' DataCaptureConfigSummary Bool
- dataCaptureConfigSummary_captureStatus :: Lens' DataCaptureConfigSummary CaptureStatus
- dataCaptureConfigSummary_currentSamplingPercentage :: Lens' DataCaptureConfigSummary Natural
- dataCaptureConfigSummary_destinationS3Uri :: Lens' DataCaptureConfigSummary Text
- dataCaptureConfigSummary_kmsKeyId :: Lens' DataCaptureConfigSummary Text
- dataCatalogConfig_tableName :: Lens' DataCatalogConfig Text
- dataCatalogConfig_catalog :: Lens' DataCatalogConfig Text
- dataCatalogConfig_database :: Lens' DataCatalogConfig Text
- dataProcessing_inputFilter :: Lens' DataProcessing (Maybe Text)
- dataProcessing_joinSource :: Lens' DataProcessing (Maybe JoinSource)
- dataProcessing_outputFilter :: Lens' DataProcessing (Maybe Text)
- dataQualityAppSpecification_containerArguments :: Lens' DataQualityAppSpecification (Maybe (NonEmpty Text))
- dataQualityAppSpecification_containerEntrypoint :: Lens' DataQualityAppSpecification (Maybe (NonEmpty Text))
- dataQualityAppSpecification_environment :: Lens' DataQualityAppSpecification (Maybe (HashMap Text Text))
- dataQualityAppSpecification_postAnalyticsProcessorSourceUri :: Lens' DataQualityAppSpecification (Maybe Text)
- dataQualityAppSpecification_recordPreprocessorSourceUri :: Lens' DataQualityAppSpecification (Maybe Text)
- dataQualityAppSpecification_imageUri :: Lens' DataQualityAppSpecification Text
- dataQualityBaselineConfig_baseliningJobName :: Lens' DataQualityBaselineConfig (Maybe Text)
- dataQualityBaselineConfig_constraintsResource :: Lens' DataQualityBaselineConfig (Maybe MonitoringConstraintsResource)
- dataQualityBaselineConfig_statisticsResource :: Lens' DataQualityBaselineConfig (Maybe MonitoringStatisticsResource)
- dataQualityJobInput_batchTransformInput :: Lens' DataQualityJobInput (Maybe BatchTransformInput)
- dataQualityJobInput_endpointInput :: Lens' DataQualityJobInput (Maybe EndpointInput)
- dataSource_fileSystemDataSource :: Lens' DataSource (Maybe FileSystemDataSource)
- dataSource_s3DataSource :: Lens' DataSource (Maybe S3DataSource)
- datasetDefinition_athenaDatasetDefinition :: Lens' DatasetDefinition (Maybe AthenaDatasetDefinition)
- datasetDefinition_dataDistributionType :: Lens' DatasetDefinition (Maybe DataDistributionType)
- datasetDefinition_inputMode :: Lens' DatasetDefinition (Maybe InputMode)
- datasetDefinition_localPath :: Lens' DatasetDefinition (Maybe Text)
- datasetDefinition_redshiftDatasetDefinition :: Lens' DatasetDefinition (Maybe RedshiftDatasetDefinition)
- debugHookConfig_collectionConfigurations :: Lens' DebugHookConfig (Maybe [CollectionConfiguration])
- debugHookConfig_hookParameters :: Lens' DebugHookConfig (Maybe (HashMap Text Text))
- debugHookConfig_localPath :: Lens' DebugHookConfig (Maybe Text)
- debugHookConfig_s3OutputPath :: Lens' DebugHookConfig Text
- debugRuleConfiguration_instanceType :: Lens' DebugRuleConfiguration (Maybe ProcessingInstanceType)
- debugRuleConfiguration_localPath :: Lens' DebugRuleConfiguration (Maybe Text)
- debugRuleConfiguration_ruleParameters :: Lens' DebugRuleConfiguration (Maybe (HashMap Text Text))
- debugRuleConfiguration_s3OutputPath :: Lens' DebugRuleConfiguration (Maybe Text)
- debugRuleConfiguration_volumeSizeInGB :: Lens' DebugRuleConfiguration (Maybe Natural)
- debugRuleConfiguration_ruleConfigurationName :: Lens' DebugRuleConfiguration Text
- debugRuleConfiguration_ruleEvaluatorImage :: Lens' DebugRuleConfiguration Text
- debugRuleEvaluationStatus_lastModifiedTime :: Lens' DebugRuleEvaluationStatus (Maybe UTCTime)
- debugRuleEvaluationStatus_ruleConfigurationName :: Lens' DebugRuleEvaluationStatus (Maybe Text)
- debugRuleEvaluationStatus_ruleEvaluationJobArn :: Lens' DebugRuleEvaluationStatus (Maybe Text)
- debugRuleEvaluationStatus_ruleEvaluationStatus :: Lens' DebugRuleEvaluationStatus (Maybe RuleEvaluationStatus)
- debugRuleEvaluationStatus_statusDetails :: Lens' DebugRuleEvaluationStatus (Maybe Text)
- defaultSpaceSettings_executionRole :: Lens' DefaultSpaceSettings (Maybe Text)
- defaultSpaceSettings_jupyterServerAppSettings :: Lens' DefaultSpaceSettings (Maybe JupyterServerAppSettings)
- defaultSpaceSettings_kernelGatewayAppSettings :: Lens' DefaultSpaceSettings (Maybe KernelGatewayAppSettings)
- defaultSpaceSettings_securityGroups :: Lens' DefaultSpaceSettings (Maybe [Text])
- deployedImage_resolutionTime :: Lens' DeployedImage (Maybe UTCTime)
- deployedImage_resolvedImage :: Lens' DeployedImage (Maybe Text)
- deployedImage_specifiedImage :: Lens' DeployedImage (Maybe Text)
- deploymentConfig_autoRollbackConfiguration :: Lens' DeploymentConfig (Maybe AutoRollbackConfig)
- deploymentConfig_blueGreenUpdatePolicy :: Lens' DeploymentConfig BlueGreenUpdatePolicy
- deploymentStage_deploymentConfig :: Lens' DeploymentStage (Maybe EdgeDeploymentConfig)
- deploymentStage_stageName :: Lens' DeploymentStage Text
- deploymentStage_deviceSelectionConfig :: Lens' DeploymentStage DeviceSelectionConfig
- deploymentStageStatusSummary_stageName :: Lens' DeploymentStageStatusSummary Text
- deploymentStageStatusSummary_deviceSelectionConfig :: Lens' DeploymentStageStatusSummary DeviceSelectionConfig
- deploymentStageStatusSummary_deploymentConfig :: Lens' DeploymentStageStatusSummary EdgeDeploymentConfig
- deploymentStageStatusSummary_deploymentStatus :: Lens' DeploymentStageStatusSummary EdgeDeploymentStatus
- desiredWeightAndCapacity_desiredInstanceCount :: Lens' DesiredWeightAndCapacity (Maybe Natural)
- desiredWeightAndCapacity_desiredWeight :: Lens' DesiredWeightAndCapacity (Maybe Double)
- desiredWeightAndCapacity_variantName :: Lens' DesiredWeightAndCapacity Text
- device_description :: Lens' Device (Maybe Text)
- device_iotThingName :: Lens' Device (Maybe Text)
- device_deviceName :: Lens' Device Text
- deviceDeploymentSummary_deployedStageName :: Lens' DeviceDeploymentSummary (Maybe Text)
- deviceDeploymentSummary_deploymentStartTime :: Lens' DeviceDeploymentSummary (Maybe UTCTime)
- deviceDeploymentSummary_description :: Lens' DeviceDeploymentSummary (Maybe Text)
- deviceDeploymentSummary_deviceDeploymentStatus :: Lens' DeviceDeploymentSummary (Maybe DeviceDeploymentStatus)
- deviceDeploymentSummary_deviceDeploymentStatusMessage :: Lens' DeviceDeploymentSummary (Maybe Text)
- deviceDeploymentSummary_deviceFleetName :: Lens' DeviceDeploymentSummary (Maybe Text)
- deviceDeploymentSummary_edgeDeploymentPlanArn :: Lens' DeviceDeploymentSummary Text
- deviceDeploymentSummary_edgeDeploymentPlanName :: Lens' DeviceDeploymentSummary Text
- deviceDeploymentSummary_stageName :: Lens' DeviceDeploymentSummary Text
- deviceDeploymentSummary_deviceName :: Lens' DeviceDeploymentSummary Text
- deviceDeploymentSummary_deviceArn :: Lens' DeviceDeploymentSummary Text
- deviceFleetSummary_creationTime :: Lens' DeviceFleetSummary (Maybe UTCTime)
- deviceFleetSummary_lastModifiedTime :: Lens' DeviceFleetSummary (Maybe UTCTime)
- deviceFleetSummary_deviceFleetArn :: Lens' DeviceFleetSummary Text
- deviceFleetSummary_deviceFleetName :: Lens' DeviceFleetSummary Text
- deviceSelectionConfig_deviceNameContains :: Lens' DeviceSelectionConfig (Maybe Text)
- deviceSelectionConfig_deviceNames :: Lens' DeviceSelectionConfig (Maybe [Text])
- deviceSelectionConfig_percentage :: Lens' DeviceSelectionConfig (Maybe Int)
- deviceSelectionConfig_deviceSubsetType :: Lens' DeviceSelectionConfig DeviceSubsetType
- deviceStats_connectedDeviceCount :: Lens' DeviceStats Integer
- deviceStats_registeredDeviceCount :: Lens' DeviceStats Integer
- deviceSummary_agentVersion :: Lens' DeviceSummary (Maybe Text)
- deviceSummary_description :: Lens' DeviceSummary (Maybe Text)
- deviceSummary_deviceFleetName :: Lens' DeviceSummary (Maybe Text)
- deviceSummary_iotThingName :: Lens' DeviceSummary (Maybe Text)
- deviceSummary_latestHeartbeat :: Lens' DeviceSummary (Maybe UTCTime)
- deviceSummary_models :: Lens' DeviceSummary (Maybe [EdgeModelSummary])
- deviceSummary_registrationTime :: Lens' DeviceSummary (Maybe UTCTime)
- deviceSummary_deviceName :: Lens' DeviceSummary Text
- deviceSummary_deviceArn :: Lens' DeviceSummary Text
- domainDetails_creationTime :: Lens' DomainDetails (Maybe UTCTime)
- domainDetails_domainArn :: Lens' DomainDetails (Maybe Text)
- domainDetails_domainId :: Lens' DomainDetails (Maybe Text)
- domainDetails_domainName :: Lens' DomainDetails (Maybe Text)
- domainDetails_lastModifiedTime :: Lens' DomainDetails (Maybe UTCTime)
- domainDetails_status :: Lens' DomainDetails (Maybe DomainStatus)
- domainDetails_url :: Lens' DomainDetails (Maybe Text)
- domainSettings_executionRoleIdentityConfig :: Lens' DomainSettings (Maybe ExecutionRoleIdentityConfig)
- domainSettings_rStudioServerProDomainSettings :: Lens' DomainSettings (Maybe RStudioServerProDomainSettings)
- domainSettings_securityGroupIds :: Lens' DomainSettings (Maybe [Text])
- domainSettingsForUpdate_executionRoleIdentityConfig :: Lens' DomainSettingsForUpdate (Maybe ExecutionRoleIdentityConfig)
- domainSettingsForUpdate_rStudioServerProDomainSettingsForUpdate :: Lens' DomainSettingsForUpdate (Maybe RStudioServerProDomainSettingsForUpdate)
- domainSettingsForUpdate_securityGroupIds :: Lens' DomainSettingsForUpdate (Maybe [Text])
- driftCheckBaselines_bias :: Lens' DriftCheckBaselines (Maybe DriftCheckBias)
- driftCheckBaselines_explainability :: Lens' DriftCheckBaselines (Maybe DriftCheckExplainability)
- driftCheckBaselines_modelDataQuality :: Lens' DriftCheckBaselines (Maybe DriftCheckModelDataQuality)
- driftCheckBaselines_modelQuality :: Lens' DriftCheckBaselines (Maybe DriftCheckModelQuality)
- driftCheckBias_configFile :: Lens' DriftCheckBias (Maybe FileSource)
- driftCheckBias_postTrainingConstraints :: Lens' DriftCheckBias (Maybe MetricsSource)
- driftCheckBias_preTrainingConstraints :: Lens' DriftCheckBias (Maybe MetricsSource)
- driftCheckExplainability_configFile :: Lens' DriftCheckExplainability (Maybe FileSource)
- driftCheckExplainability_constraints :: Lens' DriftCheckExplainability (Maybe MetricsSource)
- driftCheckModelDataQuality_constraints :: Lens' DriftCheckModelDataQuality (Maybe MetricsSource)
- driftCheckModelDataQuality_statistics :: Lens' DriftCheckModelDataQuality (Maybe MetricsSource)
- driftCheckModelQuality_constraints :: Lens' DriftCheckModelQuality (Maybe MetricsSource)
- driftCheckModelQuality_statistics :: Lens' DriftCheckModelQuality (Maybe MetricsSource)
- eMRStepMetadata_clusterId :: Lens' EMRStepMetadata (Maybe Text)
- eMRStepMetadata_logFilePath :: Lens' EMRStepMetadata (Maybe Text)
- eMRStepMetadata_stepId :: Lens' EMRStepMetadata (Maybe Text)
- eMRStepMetadata_stepName :: Lens' EMRStepMetadata (Maybe Text)
- edge_associationType :: Lens' Edge (Maybe AssociationEdgeType)
- edge_destinationArn :: Lens' Edge (Maybe Text)
- edge_sourceArn :: Lens' Edge (Maybe Text)
- edgeDeploymentConfig_failureHandlingPolicy :: Lens' EdgeDeploymentConfig FailureHandlingPolicy
- edgeDeploymentModelConfig_modelHandle :: Lens' EdgeDeploymentModelConfig Text
- edgeDeploymentModelConfig_edgePackagingJobName :: Lens' EdgeDeploymentModelConfig Text
- edgeDeploymentPlanSummary_creationTime :: Lens' EdgeDeploymentPlanSummary (Maybe UTCTime)
- edgeDeploymentPlanSummary_lastModifiedTime :: Lens' EdgeDeploymentPlanSummary (Maybe UTCTime)
- edgeDeploymentPlanSummary_edgeDeploymentPlanArn :: Lens' EdgeDeploymentPlanSummary Text
- edgeDeploymentPlanSummary_edgeDeploymentPlanName :: Lens' EdgeDeploymentPlanSummary Text
- edgeDeploymentPlanSummary_deviceFleetName :: Lens' EdgeDeploymentPlanSummary Text
- edgeDeploymentPlanSummary_edgeDeploymentSuccess :: Lens' EdgeDeploymentPlanSummary Int
- edgeDeploymentPlanSummary_edgeDeploymentPending :: Lens' EdgeDeploymentPlanSummary Int
- edgeDeploymentPlanSummary_edgeDeploymentFailed :: Lens' EdgeDeploymentPlanSummary Int
- edgeDeploymentStatus_edgeDeploymentStageStartTime :: Lens' EdgeDeploymentStatus (Maybe UTCTime)
- edgeDeploymentStatus_edgeDeploymentStatusMessage :: Lens' EdgeDeploymentStatus (Maybe Text)
- edgeDeploymentStatus_stageStatus :: Lens' EdgeDeploymentStatus StageStatus
- edgeDeploymentStatus_edgeDeploymentSuccessInStage :: Lens' EdgeDeploymentStatus Int
- edgeDeploymentStatus_edgeDeploymentPendingInStage :: Lens' EdgeDeploymentStatus Int
- edgeDeploymentStatus_edgeDeploymentFailedInStage :: Lens' EdgeDeploymentStatus Int
- edgeModel_latestInference :: Lens' EdgeModel (Maybe UTCTime)
- edgeModel_latestSampleTime :: Lens' EdgeModel (Maybe UTCTime)
- edgeModel_modelName :: Lens' EdgeModel Text
- edgeModel_modelVersion :: Lens' EdgeModel Text
- edgeModelStat_modelName :: Lens' EdgeModelStat Text
- edgeModelStat_modelVersion :: Lens' EdgeModelStat Text
- edgeModelStat_offlineDeviceCount :: Lens' EdgeModelStat Integer
- edgeModelStat_connectedDeviceCount :: Lens' EdgeModelStat Integer
- edgeModelStat_activeDeviceCount :: Lens' EdgeModelStat Integer
- edgeModelStat_samplingDeviceCount :: Lens' EdgeModelStat Integer
- edgeModelSummary_modelName :: Lens' EdgeModelSummary Text
- edgeModelSummary_modelVersion :: Lens' EdgeModelSummary Text
- edgeOutputConfig_kmsKeyId :: Lens' EdgeOutputConfig (Maybe Text)
- edgeOutputConfig_presetDeploymentConfig :: Lens' EdgeOutputConfig (Maybe Text)
- edgeOutputConfig_presetDeploymentType :: Lens' EdgeOutputConfig (Maybe EdgePresetDeploymentType)
- edgeOutputConfig_s3OutputLocation :: Lens' EdgeOutputConfig Text
- edgePackagingJobSummary_compilationJobName :: Lens' EdgePackagingJobSummary (Maybe Text)
- edgePackagingJobSummary_creationTime :: Lens' EdgePackagingJobSummary (Maybe UTCTime)
- edgePackagingJobSummary_lastModifiedTime :: Lens' EdgePackagingJobSummary (Maybe UTCTime)
- edgePackagingJobSummary_modelName :: Lens' EdgePackagingJobSummary (Maybe Text)
- edgePackagingJobSummary_modelVersion :: Lens' EdgePackagingJobSummary (Maybe Text)
- edgePackagingJobSummary_edgePackagingJobArn :: Lens' EdgePackagingJobSummary Text
- edgePackagingJobSummary_edgePackagingJobName :: Lens' EdgePackagingJobSummary Text
- edgePackagingJobSummary_edgePackagingJobStatus :: Lens' EdgePackagingJobSummary EdgePackagingJobStatus
- edgePresetDeploymentOutput_artifact :: Lens' EdgePresetDeploymentOutput (Maybe Text)
- edgePresetDeploymentOutput_status :: Lens' EdgePresetDeploymentOutput (Maybe EdgePresetDeploymentStatus)
- edgePresetDeploymentOutput_statusMessage :: Lens' EdgePresetDeploymentOutput (Maybe Text)
- edgePresetDeploymentOutput_type :: Lens' EdgePresetDeploymentOutput EdgePresetDeploymentType
- endpoint_dataCaptureConfig :: Lens' Endpoint (Maybe DataCaptureConfigSummary)
- endpoint_failureReason :: Lens' Endpoint (Maybe Text)
- endpoint_monitoringSchedules :: Lens' Endpoint (Maybe [MonitoringSchedule])
- endpoint_productionVariants :: Lens' Endpoint (Maybe (NonEmpty ProductionVariantSummary))
- endpoint_shadowProductionVariants :: Lens' Endpoint (Maybe (NonEmpty ProductionVariantSummary))
- endpoint_tags :: Lens' Endpoint (Maybe [Tag])
- endpoint_endpointName :: Lens' Endpoint Text
- endpoint_endpointArn :: Lens' Endpoint Text
- endpoint_endpointConfigName :: Lens' Endpoint Text
- endpoint_endpointStatus :: Lens' Endpoint EndpointStatus
- endpoint_creationTime :: Lens' Endpoint UTCTime
- endpoint_lastModifiedTime :: Lens' Endpoint UTCTime
- endpointConfigSummary_endpointConfigName :: Lens' EndpointConfigSummary Text
- endpointConfigSummary_endpointConfigArn :: Lens' EndpointConfigSummary Text
- endpointConfigSummary_creationTime :: Lens' EndpointConfigSummary UTCTime
- endpointInfo_endpointName :: Lens' EndpointInfo Text
- endpointInput_endTimeOffset :: Lens' EndpointInput (Maybe Text)
- endpointInput_featuresAttribute :: Lens' EndpointInput (Maybe Text)
- endpointInput_inferenceAttribute :: Lens' EndpointInput (Maybe Text)
- endpointInput_probabilityAttribute :: Lens' EndpointInput (Maybe Text)
- endpointInput_probabilityThresholdAttribute :: Lens' EndpointInput (Maybe Double)
- endpointInput_s3DataDistributionType :: Lens' EndpointInput (Maybe ProcessingS3DataDistributionType)
- endpointInput_s3InputMode :: Lens' EndpointInput (Maybe ProcessingS3InputMode)
- endpointInput_startTimeOffset :: Lens' EndpointInput (Maybe Text)
- endpointInput_endpointName :: Lens' EndpointInput Text
- endpointInput_localPath :: Lens' EndpointInput Text
- endpointInputConfiguration_environmentParameterRanges :: Lens' EndpointInputConfiguration (Maybe EnvironmentParameterRanges)
- endpointInputConfiguration_inferenceSpecificationName :: Lens' EndpointInputConfiguration (Maybe Text)
- endpointInputConfiguration_instanceType :: Lens' EndpointInputConfiguration ProductionVariantInstanceType
- endpointMetadata_endpointConfigName :: Lens' EndpointMetadata (Maybe Text)
- endpointMetadata_endpointStatus :: Lens' EndpointMetadata (Maybe EndpointStatus)
- endpointMetadata_failureReason :: Lens' EndpointMetadata (Maybe Text)
- endpointMetadata_endpointName :: Lens' EndpointMetadata Text
- endpointOutputConfiguration_endpointName :: Lens' EndpointOutputConfiguration Text
- endpointOutputConfiguration_variantName :: Lens' EndpointOutputConfiguration Text
- endpointOutputConfiguration_instanceType :: Lens' EndpointOutputConfiguration ProductionVariantInstanceType
- endpointOutputConfiguration_initialInstanceCount :: Lens' EndpointOutputConfiguration Int
- endpointPerformance_metrics :: Lens' EndpointPerformance InferenceMetrics
- endpointPerformance_endpointInfo :: Lens' EndpointPerformance EndpointInfo
- endpointSummary_endpointName :: Lens' EndpointSummary Text
- endpointSummary_endpointArn :: Lens' EndpointSummary Text
- endpointSummary_creationTime :: Lens' EndpointSummary UTCTime
- endpointSummary_lastModifiedTime :: Lens' EndpointSummary UTCTime
- endpointSummary_endpointStatus :: Lens' EndpointSummary EndpointStatus
- environmentParameter_key :: Lens' EnvironmentParameter Text
- environmentParameter_valueType :: Lens' EnvironmentParameter Text
- environmentParameter_value :: Lens' EnvironmentParameter Text
- environmentParameterRanges_categoricalParameterRanges :: Lens' EnvironmentParameterRanges (Maybe (NonEmpty CategoricalParameter))
- experiment_createdBy :: Lens' Experiment (Maybe UserContext)
- experiment_creationTime :: Lens' Experiment (Maybe UTCTime)
- experiment_description :: Lens' Experiment (Maybe Text)
- experiment_displayName :: Lens' Experiment (Maybe Text)
- experiment_experimentArn :: Lens' Experiment (Maybe Text)
- experiment_experimentName :: Lens' Experiment (Maybe Text)
- experiment_lastModifiedBy :: Lens' Experiment (Maybe UserContext)
- experiment_lastModifiedTime :: Lens' Experiment (Maybe UTCTime)
- experiment_source :: Lens' Experiment (Maybe ExperimentSource)
- experiment_tags :: Lens' Experiment (Maybe [Tag])
- experimentConfig_experimentName :: Lens' ExperimentConfig (Maybe Text)
- experimentConfig_runName :: Lens' ExperimentConfig (Maybe Text)
- experimentConfig_trialComponentDisplayName :: Lens' ExperimentConfig (Maybe Text)
- experimentConfig_trialName :: Lens' ExperimentConfig (Maybe Text)
- experimentSource_sourceType :: Lens' ExperimentSource (Maybe Text)
- experimentSource_sourceArn :: Lens' ExperimentSource Text
- experimentSummary_creationTime :: Lens' ExperimentSummary (Maybe UTCTime)
- experimentSummary_displayName :: Lens' ExperimentSummary (Maybe Text)
- experimentSummary_experimentArn :: Lens' ExperimentSummary (Maybe Text)
- experimentSummary_experimentName :: Lens' ExperimentSummary (Maybe Text)
- experimentSummary_experimentSource :: Lens' ExperimentSummary (Maybe ExperimentSource)
- experimentSummary_lastModifiedTime :: Lens' ExperimentSummary (Maybe UTCTime)
- explainability_report :: Lens' Explainability (Maybe MetricsSource)
- explainerConfig_clarifyExplainerConfig :: Lens' ExplainerConfig (Maybe ClarifyExplainerConfig)
- failStepMetadata_errorMessage :: Lens' FailStepMetadata (Maybe Text)
- featureDefinition_featureName :: Lens' FeatureDefinition (Maybe Text)
- featureDefinition_featureType :: Lens' FeatureDefinition (Maybe FeatureType)
- featureGroup_creationTime :: Lens' FeatureGroup (Maybe UTCTime)
- featureGroup_description :: Lens' FeatureGroup (Maybe Text)
- featureGroup_eventTimeFeatureName :: Lens' FeatureGroup (Maybe Text)
- featureGroup_failureReason :: Lens' FeatureGroup (Maybe Text)
- featureGroup_featureDefinitions :: Lens' FeatureGroup (Maybe (NonEmpty FeatureDefinition))
- featureGroup_featureGroupArn :: Lens' FeatureGroup (Maybe Text)
- featureGroup_featureGroupName :: Lens' FeatureGroup (Maybe Text)
- featureGroup_featureGroupStatus :: Lens' FeatureGroup (Maybe FeatureGroupStatus)
- featureGroup_lastModifiedTime :: Lens' FeatureGroup (Maybe UTCTime)
- featureGroup_lastUpdateStatus :: Lens' FeatureGroup (Maybe LastUpdateStatus)
- featureGroup_offlineStoreConfig :: Lens' FeatureGroup (Maybe OfflineStoreConfig)
- featureGroup_offlineStoreStatus :: Lens' FeatureGroup (Maybe OfflineStoreStatus)
- featureGroup_onlineStoreConfig :: Lens' FeatureGroup (Maybe OnlineStoreConfig)
- featureGroup_recordIdentifierFeatureName :: Lens' FeatureGroup (Maybe Text)
- featureGroup_roleArn :: Lens' FeatureGroup (Maybe Text)
- featureGroup_tags :: Lens' FeatureGroup (Maybe [Tag])
- featureGroupSummary_featureGroupStatus :: Lens' FeatureGroupSummary (Maybe FeatureGroupStatus)
- featureGroupSummary_offlineStoreStatus :: Lens' FeatureGroupSummary (Maybe OfflineStoreStatus)
- featureGroupSummary_featureGroupName :: Lens' FeatureGroupSummary Text
- featureGroupSummary_featureGroupArn :: Lens' FeatureGroupSummary Text
- featureGroupSummary_creationTime :: Lens' FeatureGroupSummary UTCTime
- featureMetadata_creationTime :: Lens' FeatureMetadata (Maybe UTCTime)
- featureMetadata_description :: Lens' FeatureMetadata (Maybe Text)
- featureMetadata_featureGroupArn :: Lens' FeatureMetadata (Maybe Text)
- featureMetadata_featureGroupName :: Lens' FeatureMetadata (Maybe Text)
- featureMetadata_featureName :: Lens' FeatureMetadata (Maybe Text)
- featureMetadata_featureType :: Lens' FeatureMetadata (Maybe FeatureType)
- featureMetadata_lastModifiedTime :: Lens' FeatureMetadata (Maybe UTCTime)
- featureMetadata_parameters :: Lens' FeatureMetadata (Maybe [FeatureParameter])
- featureParameter_key :: Lens' FeatureParameter (Maybe Text)
- featureParameter_value :: Lens' FeatureParameter (Maybe Text)
- fileSource_contentDigest :: Lens' FileSource (Maybe Text)
- fileSource_contentType :: Lens' FileSource (Maybe Text)
- fileSource_s3Uri :: Lens' FileSource Text
- fileSystemConfig_defaultGid :: Lens' FileSystemConfig (Maybe Natural)
- fileSystemConfig_defaultUid :: Lens' FileSystemConfig (Maybe Natural)
- fileSystemConfig_mountPath :: Lens' FileSystemConfig (Maybe Text)
- fileSystemDataSource_fileSystemId :: Lens' FileSystemDataSource Text
- fileSystemDataSource_fileSystemAccessMode :: Lens' FileSystemDataSource FileSystemAccessMode
- fileSystemDataSource_fileSystemType :: Lens' FileSystemDataSource FileSystemType
- fileSystemDataSource_directoryPath :: Lens' FileSystemDataSource Text
- filter_operator :: Lens' Filter (Maybe Operator)
- filter_value :: Lens' Filter (Maybe Text)
- filter_name :: Lens' Filter Text
- finalAutoMLJobObjectiveMetric_type :: Lens' FinalAutoMLJobObjectiveMetric (Maybe AutoMLJobObjectiveType)
- finalAutoMLJobObjectiveMetric_metricName :: Lens' FinalAutoMLJobObjectiveMetric AutoMLMetricEnum
- finalAutoMLJobObjectiveMetric_value :: Lens' FinalAutoMLJobObjectiveMetric Double
- finalHyperParameterTuningJobObjectiveMetric_type :: Lens' FinalHyperParameterTuningJobObjectiveMetric (Maybe HyperParameterTuningJobObjectiveType)
- finalHyperParameterTuningJobObjectiveMetric_metricName :: Lens' FinalHyperParameterTuningJobObjectiveMetric Text
- finalHyperParameterTuningJobObjectiveMetric_value :: Lens' FinalHyperParameterTuningJobObjectiveMetric Double
- flowDefinitionOutputConfig_kmsKeyId :: Lens' FlowDefinitionOutputConfig (Maybe Text)
- flowDefinitionOutputConfig_s3OutputPath :: Lens' FlowDefinitionOutputConfig Text
- flowDefinitionSummary_failureReason :: Lens' FlowDefinitionSummary (Maybe Text)
- flowDefinitionSummary_flowDefinitionName :: Lens' FlowDefinitionSummary Text
- flowDefinitionSummary_flowDefinitionArn :: Lens' FlowDefinitionSummary Text
- flowDefinitionSummary_flowDefinitionStatus :: Lens' FlowDefinitionSummary FlowDefinitionStatus
- flowDefinitionSummary_creationTime :: Lens' FlowDefinitionSummary UTCTime
- gitConfig_branch :: Lens' GitConfig (Maybe Text)
- gitConfig_secretArn :: Lens' GitConfig (Maybe Text)
- gitConfig_repositoryUrl :: Lens' GitConfig Text
- gitConfigForUpdate_secretArn :: Lens' GitConfigForUpdate (Maybe Text)
- hubContentDependency_dependencyCopyPath :: Lens' HubContentDependency (Maybe Text)
- hubContentDependency_dependencyOriginPath :: Lens' HubContentDependency (Maybe Text)
- hubContentInfo_hubContentDescription :: Lens' HubContentInfo (Maybe Text)
- hubContentInfo_hubContentDisplayName :: Lens' HubContentInfo (Maybe Text)
- hubContentInfo_hubContentSearchKeywords :: Lens' HubContentInfo (Maybe [Text])
- hubContentInfo_hubContentName :: Lens' HubContentInfo Text
- hubContentInfo_hubContentArn :: Lens' HubContentInfo Text
- hubContentInfo_hubContentVersion :: Lens' HubContentInfo Text
- hubContentInfo_hubContentType :: Lens' HubContentInfo HubContentType
- hubContentInfo_documentSchemaVersion :: Lens' HubContentInfo Text
- hubContentInfo_hubContentStatus :: Lens' HubContentInfo HubContentStatus
- hubContentInfo_creationTime :: Lens' HubContentInfo UTCTime
- hubInfo_hubDescription :: Lens' HubInfo (Maybe Text)
- hubInfo_hubDisplayName :: Lens' HubInfo (Maybe Text)
- hubInfo_hubSearchKeywords :: Lens' HubInfo (Maybe [Text])
- hubInfo_hubName :: Lens' HubInfo Text
- hubInfo_hubArn :: Lens' HubInfo Text
- hubInfo_hubStatus :: Lens' HubInfo HubStatus
- hubInfo_creationTime :: Lens' HubInfo UTCTime
- hubInfo_lastModifiedTime :: Lens' HubInfo UTCTime
- hubS3StorageConfig_s3OutputPath :: Lens' HubS3StorageConfig (Maybe Text)
- humanLoopActivationConditionsConfig_humanLoopActivationConditions :: Lens' HumanLoopActivationConditionsConfig Text
- humanLoopActivationConfig_humanLoopActivationConditionsConfig :: Lens' HumanLoopActivationConfig HumanLoopActivationConditionsConfig
- humanLoopConfig_publicWorkforceTaskPrice :: Lens' HumanLoopConfig (Maybe PublicWorkforceTaskPrice)
- humanLoopConfig_taskAvailabilityLifetimeInSeconds :: Lens' HumanLoopConfig (Maybe Natural)
- humanLoopConfig_taskKeywords :: Lens' HumanLoopConfig (Maybe (NonEmpty Text))
- humanLoopConfig_taskTimeLimitInSeconds :: Lens' HumanLoopConfig (Maybe Natural)
- humanLoopConfig_workteamArn :: Lens' HumanLoopConfig Text
- humanLoopConfig_humanTaskUiArn :: Lens' HumanLoopConfig Text
- humanLoopConfig_taskTitle :: Lens' HumanLoopConfig Text
- humanLoopConfig_taskDescription :: Lens' HumanLoopConfig Text
- humanLoopConfig_taskCount :: Lens' HumanLoopConfig Natural
- humanLoopRequestSource_awsManagedHumanLoopRequestSource :: Lens' HumanLoopRequestSource AwsManagedHumanLoopRequestSource
- humanTaskConfig_maxConcurrentTaskCount :: Lens' HumanTaskConfig (Maybe Natural)
- humanTaskConfig_publicWorkforceTaskPrice :: Lens' HumanTaskConfig (Maybe PublicWorkforceTaskPrice)
- humanTaskConfig_taskAvailabilityLifetimeInSeconds :: Lens' HumanTaskConfig (Maybe Natural)
- humanTaskConfig_taskKeywords :: Lens' HumanTaskConfig (Maybe (NonEmpty Text))
- humanTaskConfig_workteamArn :: Lens' HumanTaskConfig Text
- humanTaskConfig_uiConfig :: Lens' HumanTaskConfig UiConfig
- humanTaskConfig_preHumanTaskLambdaArn :: Lens' HumanTaskConfig Text
- humanTaskConfig_taskTitle :: Lens' HumanTaskConfig Text
- humanTaskConfig_taskDescription :: Lens' HumanTaskConfig Text
- humanTaskConfig_numberOfHumanWorkersPerDataObject :: Lens' HumanTaskConfig Natural
- humanTaskConfig_taskTimeLimitInSeconds :: Lens' HumanTaskConfig Natural
- humanTaskConfig_annotationConsolidationConfig :: Lens' HumanTaskConfig AnnotationConsolidationConfig
- humanTaskUiSummary_humanTaskUiName :: Lens' HumanTaskUiSummary Text
- humanTaskUiSummary_humanTaskUiArn :: Lens' HumanTaskUiSummary Text
- humanTaskUiSummary_creationTime :: Lens' HumanTaskUiSummary UTCTime
- hyperParameterAlgorithmSpecification_algorithmName :: Lens' HyperParameterAlgorithmSpecification (Maybe Text)
- hyperParameterAlgorithmSpecification_metricDefinitions :: Lens' HyperParameterAlgorithmSpecification (Maybe [MetricDefinition])
- hyperParameterAlgorithmSpecification_trainingImage :: Lens' HyperParameterAlgorithmSpecification (Maybe Text)
- hyperParameterAlgorithmSpecification_trainingInputMode :: Lens' HyperParameterAlgorithmSpecification TrainingInputMode
- hyperParameterSpecification_defaultValue :: Lens' HyperParameterSpecification (Maybe Text)
- hyperParameterSpecification_description :: Lens' HyperParameterSpecification (Maybe Text)
- hyperParameterSpecification_isRequired :: Lens' HyperParameterSpecification (Maybe Bool)
- hyperParameterSpecification_isTunable :: Lens' HyperParameterSpecification (Maybe Bool)
- hyperParameterSpecification_range :: Lens' HyperParameterSpecification (Maybe ParameterRange)
- hyperParameterSpecification_name :: Lens' HyperParameterSpecification Text
- hyperParameterSpecification_type :: Lens' HyperParameterSpecification ParameterType
- hyperParameterTrainingJobDefinition_checkpointConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe CheckpointConfig)
- hyperParameterTrainingJobDefinition_definitionName :: Lens' HyperParameterTrainingJobDefinition (Maybe Text)
- hyperParameterTrainingJobDefinition_enableInterContainerTrafficEncryption :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool)
- hyperParameterTrainingJobDefinition_enableManagedSpotTraining :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool)
- hyperParameterTrainingJobDefinition_enableNetworkIsolation :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool)
- hyperParameterTrainingJobDefinition_hyperParameterRanges :: Lens' HyperParameterTrainingJobDefinition (Maybe ParameterRanges)
- hyperParameterTrainingJobDefinition_hyperParameterTuningResourceConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe HyperParameterTuningResourceConfig)
- hyperParameterTrainingJobDefinition_inputDataConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe (NonEmpty Channel))
- hyperParameterTrainingJobDefinition_resourceConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe ResourceConfig)
- hyperParameterTrainingJobDefinition_retryStrategy :: Lens' HyperParameterTrainingJobDefinition (Maybe RetryStrategy)
- hyperParameterTrainingJobDefinition_staticHyperParameters :: Lens' HyperParameterTrainingJobDefinition (Maybe (HashMap Text Text))
- hyperParameterTrainingJobDefinition_tuningObjective :: Lens' HyperParameterTrainingJobDefinition (Maybe HyperParameterTuningJobObjective)
- hyperParameterTrainingJobDefinition_vpcConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe VpcConfig)
- hyperParameterTrainingJobDefinition_algorithmSpecification :: Lens' HyperParameterTrainingJobDefinition HyperParameterAlgorithmSpecification
- hyperParameterTrainingJobDefinition_roleArn :: Lens' HyperParameterTrainingJobDefinition Text
- hyperParameterTrainingJobDefinition_outputDataConfig :: Lens' HyperParameterTrainingJobDefinition OutputDataConfig
- hyperParameterTrainingJobDefinition_stoppingCondition :: Lens' HyperParameterTrainingJobDefinition StoppingCondition
- hyperParameterTrainingJobSummary_failureReason :: Lens' HyperParameterTrainingJobSummary (Maybe Text)
- hyperParameterTrainingJobSummary_finalHyperParameterTuningJobObjectiveMetric :: Lens' HyperParameterTrainingJobSummary (Maybe FinalHyperParameterTuningJobObjectiveMetric)
- hyperParameterTrainingJobSummary_objectiveStatus :: Lens' HyperParameterTrainingJobSummary (Maybe ObjectiveStatus)
- hyperParameterTrainingJobSummary_trainingEndTime :: Lens' HyperParameterTrainingJobSummary (Maybe UTCTime)
- hyperParameterTrainingJobSummary_trainingJobDefinitionName :: Lens' HyperParameterTrainingJobSummary (Maybe Text)
- hyperParameterTrainingJobSummary_trainingStartTime :: Lens' HyperParameterTrainingJobSummary (Maybe UTCTime)
- hyperParameterTrainingJobSummary_tuningJobName :: Lens' HyperParameterTrainingJobSummary (Maybe Text)
- hyperParameterTrainingJobSummary_trainingJobName :: Lens' HyperParameterTrainingJobSummary Text
- hyperParameterTrainingJobSummary_trainingJobArn :: Lens' HyperParameterTrainingJobSummary Text
- hyperParameterTrainingJobSummary_creationTime :: Lens' HyperParameterTrainingJobSummary UTCTime
- hyperParameterTrainingJobSummary_trainingJobStatus :: Lens' HyperParameterTrainingJobSummary TrainingJobStatus
- hyperParameterTrainingJobSummary_tunedHyperParameters :: Lens' HyperParameterTrainingJobSummary (HashMap Text Text)
- hyperParameterTuningInstanceConfig_instanceType :: Lens' HyperParameterTuningInstanceConfig TrainingInstanceType
- hyperParameterTuningInstanceConfig_instanceCount :: Lens' HyperParameterTuningInstanceConfig Natural
- hyperParameterTuningInstanceConfig_volumeSizeInGB :: Lens' HyperParameterTuningInstanceConfig Natural
- hyperParameterTuningJobConfig_hyperParameterTuningJobObjective :: Lens' HyperParameterTuningJobConfig (Maybe HyperParameterTuningJobObjective)
- hyperParameterTuningJobConfig_parameterRanges :: Lens' HyperParameterTuningJobConfig (Maybe ParameterRanges)
- hyperParameterTuningJobConfig_randomSeed :: Lens' HyperParameterTuningJobConfig (Maybe Natural)
- hyperParameterTuningJobConfig_strategyConfig :: Lens' HyperParameterTuningJobConfig (Maybe HyperParameterTuningJobStrategyConfig)
- hyperParameterTuningJobConfig_trainingJobEarlyStoppingType :: Lens' HyperParameterTuningJobConfig (Maybe TrainingJobEarlyStoppingType)
- hyperParameterTuningJobConfig_tuningJobCompletionCriteria :: Lens' HyperParameterTuningJobConfig (Maybe TuningJobCompletionCriteria)
- hyperParameterTuningJobConfig_strategy :: Lens' HyperParameterTuningJobConfig HyperParameterTuningJobStrategyType
- hyperParameterTuningJobConfig_resourceLimits :: Lens' HyperParameterTuningJobConfig ResourceLimits
- hyperParameterTuningJobObjective_type :: Lens' HyperParameterTuningJobObjective HyperParameterTuningJobObjectiveType
- hyperParameterTuningJobObjective_metricName :: Lens' HyperParameterTuningJobObjective Text
- hyperParameterTuningJobSearchEntity_bestTrainingJob :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTrainingJobSummary)
- hyperParameterTuningJobSearchEntity_creationTime :: Lens' HyperParameterTuningJobSearchEntity (Maybe UTCTime)
- hyperParameterTuningJobSearchEntity_failureReason :: Lens' HyperParameterTuningJobSearchEntity (Maybe Text)
- hyperParameterTuningJobSearchEntity_hyperParameterTuningEndTime :: Lens' HyperParameterTuningJobSearchEntity (Maybe UTCTime)
- hyperParameterTuningJobSearchEntity_hyperParameterTuningJobArn :: Lens' HyperParameterTuningJobSearchEntity (Maybe Text)
- hyperParameterTuningJobSearchEntity_hyperParameterTuningJobConfig :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTuningJobConfig)
- hyperParameterTuningJobSearchEntity_hyperParameterTuningJobName :: Lens' HyperParameterTuningJobSearchEntity (Maybe Text)
- hyperParameterTuningJobSearchEntity_hyperParameterTuningJobStatus :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTuningJobStatus)
- hyperParameterTuningJobSearchEntity_lastModifiedTime :: Lens' HyperParameterTuningJobSearchEntity (Maybe UTCTime)
- hyperParameterTuningJobSearchEntity_objectiveStatusCounters :: Lens' HyperParameterTuningJobSearchEntity (Maybe ObjectiveStatusCounters)
- hyperParameterTuningJobSearchEntity_overallBestTrainingJob :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTrainingJobSummary)
- hyperParameterTuningJobSearchEntity_tags :: Lens' HyperParameterTuningJobSearchEntity (Maybe [Tag])
- hyperParameterTuningJobSearchEntity_trainingJobDefinition :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTrainingJobDefinition)
- hyperParameterTuningJobSearchEntity_trainingJobDefinitions :: Lens' HyperParameterTuningJobSearchEntity (Maybe (NonEmpty HyperParameterTrainingJobDefinition))
- hyperParameterTuningJobSearchEntity_trainingJobStatusCounters :: Lens' HyperParameterTuningJobSearchEntity (Maybe TrainingJobStatusCounters)
- hyperParameterTuningJobSearchEntity_warmStartConfig :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTuningJobWarmStartConfig)
- hyperParameterTuningJobStrategyConfig_hyperbandStrategyConfig :: Lens' HyperParameterTuningJobStrategyConfig (Maybe HyperbandStrategyConfig)
- hyperParameterTuningJobSummary_hyperParameterTuningEndTime :: Lens' HyperParameterTuningJobSummary (Maybe UTCTime)
- hyperParameterTuningJobSummary_lastModifiedTime :: Lens' HyperParameterTuningJobSummary (Maybe UTCTime)
- hyperParameterTuningJobSummary_resourceLimits :: Lens' HyperParameterTuningJobSummary (Maybe ResourceLimits)
- hyperParameterTuningJobSummary_hyperParameterTuningJobName :: Lens' HyperParameterTuningJobSummary Text
- hyperParameterTuningJobSummary_hyperParameterTuningJobArn :: Lens' HyperParameterTuningJobSummary Text
- hyperParameterTuningJobSummary_hyperParameterTuningJobStatus :: Lens' HyperParameterTuningJobSummary HyperParameterTuningJobStatus
- hyperParameterTuningJobSummary_strategy :: Lens' HyperParameterTuningJobSummary HyperParameterTuningJobStrategyType
- hyperParameterTuningJobSummary_creationTime :: Lens' HyperParameterTuningJobSummary UTCTime
- hyperParameterTuningJobSummary_trainingJobStatusCounters :: Lens' HyperParameterTuningJobSummary TrainingJobStatusCounters
- hyperParameterTuningJobSummary_objectiveStatusCounters :: Lens' HyperParameterTuningJobSummary ObjectiveStatusCounters
- hyperParameterTuningJobWarmStartConfig_parentHyperParameterTuningJobs :: Lens' HyperParameterTuningJobWarmStartConfig (NonEmpty ParentHyperParameterTuningJob)
- hyperParameterTuningJobWarmStartConfig_warmStartType :: Lens' HyperParameterTuningJobWarmStartConfig HyperParameterTuningJobWarmStartType
- hyperParameterTuningResourceConfig_allocationStrategy :: Lens' HyperParameterTuningResourceConfig (Maybe HyperParameterTuningAllocationStrategy)
- hyperParameterTuningResourceConfig_instanceConfigs :: Lens' HyperParameterTuningResourceConfig (Maybe (NonEmpty HyperParameterTuningInstanceConfig))
- hyperParameterTuningResourceConfig_instanceCount :: Lens' HyperParameterTuningResourceConfig (Maybe Natural)
- hyperParameterTuningResourceConfig_instanceType :: Lens' HyperParameterTuningResourceConfig (Maybe TrainingInstanceType)
- hyperParameterTuningResourceConfig_volumeKmsKeyId :: Lens' HyperParameterTuningResourceConfig (Maybe Text)
- hyperParameterTuningResourceConfig_volumeSizeInGB :: Lens' HyperParameterTuningResourceConfig (Maybe Natural)
- hyperbandStrategyConfig_maxResource :: Lens' HyperbandStrategyConfig (Maybe Natural)
- hyperbandStrategyConfig_minResource :: Lens' HyperbandStrategyConfig (Maybe Natural)
- image_description :: Lens' Image (Maybe Text)
- image_displayName :: Lens' Image (Maybe Text)
- image_failureReason :: Lens' Image (Maybe Text)
- image_creationTime :: Lens' Image UTCTime
- image_imageArn :: Lens' Image Text
- image_imageName :: Lens' Image Text
- image_imageStatus :: Lens' Image ImageStatus
- image_lastModifiedTime :: Lens' Image UTCTime
- imageConfig_repositoryAuthConfig :: Lens' ImageConfig (Maybe RepositoryAuthConfig)
- imageConfig_repositoryAccessMode :: Lens' ImageConfig RepositoryAccessMode
- imageVersion_failureReason :: Lens' ImageVersion (Maybe Text)
- imageVersion_creationTime :: Lens' ImageVersion UTCTime
- imageVersion_imageArn :: Lens' ImageVersion Text
- imageVersion_imageVersionArn :: Lens' ImageVersion Text
- imageVersion_imageVersionStatus :: Lens' ImageVersion ImageVersionStatus
- imageVersion_lastModifiedTime :: Lens' ImageVersion UTCTime
- imageVersion_version :: Lens' ImageVersion Natural
- inferenceExecutionConfig_mode :: Lens' InferenceExecutionConfig InferenceExecutionMode
- inferenceExperimentDataStorageConfig_contentType :: Lens' InferenceExperimentDataStorageConfig (Maybe CaptureContentTypeHeader)
- inferenceExperimentDataStorageConfig_kmsKey :: Lens' InferenceExperimentDataStorageConfig (Maybe Text)
- inferenceExperimentDataStorageConfig_destination :: Lens' InferenceExperimentDataStorageConfig Text
- inferenceExperimentSchedule_endTime :: Lens' InferenceExperimentSchedule (Maybe UTCTime)
- inferenceExperimentSchedule_startTime :: Lens' InferenceExperimentSchedule (Maybe UTCTime)
- inferenceExperimentSummary_completionTime :: Lens' InferenceExperimentSummary (Maybe UTCTime)
- inferenceExperimentSummary_description :: Lens' InferenceExperimentSummary (Maybe Text)
- inferenceExperimentSummary_roleArn :: Lens' InferenceExperimentSummary (Maybe Text)
- inferenceExperimentSummary_schedule :: Lens' InferenceExperimentSummary (Maybe InferenceExperimentSchedule)
- inferenceExperimentSummary_statusReason :: Lens' InferenceExperimentSummary (Maybe Text)
- inferenceExperimentSummary_name :: Lens' InferenceExperimentSummary Text
- inferenceExperimentSummary_type :: Lens' InferenceExperimentSummary InferenceExperimentType
- inferenceExperimentSummary_status :: Lens' InferenceExperimentSummary InferenceExperimentStatus
- inferenceExperimentSummary_creationTime :: Lens' InferenceExperimentSummary UTCTime
- inferenceExperimentSummary_lastModifiedTime :: Lens' InferenceExperimentSummary UTCTime
- inferenceMetrics_maxInvocations :: Lens' InferenceMetrics Int
- inferenceMetrics_modelLatency :: Lens' InferenceMetrics Int
- inferenceRecommendation_metrics :: Lens' InferenceRecommendation RecommendationMetrics
- inferenceRecommendation_endpointConfiguration :: Lens' InferenceRecommendation EndpointOutputConfiguration
- inferenceRecommendation_modelConfiguration :: Lens' InferenceRecommendation ModelConfiguration
- inferenceRecommendationsJob_completionTime :: Lens' InferenceRecommendationsJob (Maybe UTCTime)
- inferenceRecommendationsJob_failureReason :: Lens' InferenceRecommendationsJob (Maybe Text)
- inferenceRecommendationsJob_jobName :: Lens' InferenceRecommendationsJob Text
- inferenceRecommendationsJob_jobDescription :: Lens' InferenceRecommendationsJob Text
- inferenceRecommendationsJob_jobType :: Lens' InferenceRecommendationsJob RecommendationJobType
- inferenceRecommendationsJob_jobArn :: Lens' InferenceRecommendationsJob Text
- inferenceRecommendationsJob_status :: Lens' InferenceRecommendationsJob RecommendationJobStatus
- inferenceRecommendationsJob_creationTime :: Lens' InferenceRecommendationsJob UTCTime
- inferenceRecommendationsJob_roleArn :: Lens' InferenceRecommendationsJob Text
- inferenceRecommendationsJob_lastModifiedTime :: Lens' InferenceRecommendationsJob UTCTime
- inferenceRecommendationsJobStep_inferenceBenchmark :: Lens' InferenceRecommendationsJobStep (Maybe RecommendationJobInferenceBenchmark)
- inferenceRecommendationsJobStep_stepType :: Lens' InferenceRecommendationsJobStep RecommendationStepType
- inferenceRecommendationsJobStep_jobName :: Lens' InferenceRecommendationsJobStep Text
- inferenceRecommendationsJobStep_status :: Lens' InferenceRecommendationsJobStep RecommendationJobStatus
- inferenceSpecification_supportedRealtimeInferenceInstanceTypes :: Lens' InferenceSpecification (Maybe [ProductionVariantInstanceType])
- inferenceSpecification_supportedTransformInstanceTypes :: Lens' InferenceSpecification (Maybe (NonEmpty TransformInstanceType))
- inferenceSpecification_containers :: Lens' InferenceSpecification (NonEmpty ModelPackageContainerDefinition)
- inferenceSpecification_supportedContentTypes :: Lens' InferenceSpecification [Text]
- inferenceSpecification_supportedResponseMIMETypes :: Lens' InferenceSpecification [Text]
- inputConfig_frameworkVersion :: Lens' InputConfig (Maybe Text)
- inputConfig_s3Uri :: Lens' InputConfig Text
- inputConfig_dataInputConfig :: Lens' InputConfig Text
- inputConfig_framework :: Lens' InputConfig Framework
- instanceGroup_instanceType :: Lens' InstanceGroup TrainingInstanceType
- instanceGroup_instanceCount :: Lens' InstanceGroup Natural
- instanceGroup_instanceGroupName :: Lens' InstanceGroup Text
- instanceMetadataServiceConfiguration_minimumInstanceMetadataServiceVersion :: Lens' InstanceMetadataServiceConfiguration Text
- integerParameterRange_scalingType :: Lens' IntegerParameterRange (Maybe HyperParameterScalingType)
- integerParameterRange_name :: Lens' IntegerParameterRange Text
- integerParameterRange_minValue :: Lens' IntegerParameterRange Text
- integerParameterRange_maxValue :: Lens' IntegerParameterRange Text
- integerParameterRangeSpecification_minValue :: Lens' IntegerParameterRangeSpecification Text
- integerParameterRangeSpecification_maxValue :: Lens' IntegerParameterRangeSpecification Text
- jupyterServerAppSettings_codeRepositories :: Lens' JupyterServerAppSettings (Maybe [CodeRepository])
- jupyterServerAppSettings_defaultResourceSpec :: Lens' JupyterServerAppSettings (Maybe ResourceSpec)
- jupyterServerAppSettings_lifecycleConfigArns :: Lens' JupyterServerAppSettings (Maybe [Text])
- kernelGatewayAppSettings_customImages :: Lens' KernelGatewayAppSettings (Maybe [CustomImage])
- kernelGatewayAppSettings_defaultResourceSpec :: Lens' KernelGatewayAppSettings (Maybe ResourceSpec)
- kernelGatewayAppSettings_lifecycleConfigArns :: Lens' KernelGatewayAppSettings (Maybe [Text])
- kernelGatewayImageConfig_fileSystemConfig :: Lens' KernelGatewayImageConfig (Maybe FileSystemConfig)
- kernelGatewayImageConfig_kernelSpecs :: Lens' KernelGatewayImageConfig (NonEmpty KernelSpec)
- kernelSpec_displayName :: Lens' KernelSpec (Maybe Text)
- kernelSpec_name :: Lens' KernelSpec Text
- labelCounters_failedNonRetryableError :: Lens' LabelCounters (Maybe Natural)
- labelCounters_humanLabeled :: Lens' LabelCounters (Maybe Natural)
- labelCounters_machineLabeled :: Lens' LabelCounters (Maybe Natural)
- labelCounters_totalLabeled :: Lens' LabelCounters (Maybe Natural)
- labelCounters_unlabeled :: Lens' LabelCounters (Maybe Natural)
- labelCountersForWorkteam_humanLabeled :: Lens' LabelCountersForWorkteam (Maybe Natural)
- labelCountersForWorkteam_pendingHuman :: Lens' LabelCountersForWorkteam (Maybe Natural)
- labelCountersForWorkteam_total :: Lens' LabelCountersForWorkteam (Maybe Natural)
- labelingJobAlgorithmsConfig_initialActiveLearningModelArn :: Lens' LabelingJobAlgorithmsConfig (Maybe Text)
- labelingJobAlgorithmsConfig_labelingJobResourceConfig :: Lens' LabelingJobAlgorithmsConfig (Maybe LabelingJobResourceConfig)
- labelingJobAlgorithmsConfig_labelingJobAlgorithmSpecificationArn :: Lens' LabelingJobAlgorithmsConfig Text
- labelingJobDataAttributes_contentClassifiers :: Lens' LabelingJobDataAttributes (Maybe [ContentClassifier])
- labelingJobDataSource_s3DataSource :: Lens' LabelingJobDataSource (Maybe LabelingJobS3DataSource)
- labelingJobDataSource_snsDataSource :: Lens' LabelingJobDataSource (Maybe LabelingJobSnsDataSource)
- labelingJobForWorkteamSummary_labelCounters :: Lens' LabelingJobForWorkteamSummary (Maybe LabelCountersForWorkteam)
- labelingJobForWorkteamSummary_labelingJobName :: Lens' LabelingJobForWorkteamSummary (Maybe Text)
- labelingJobForWorkteamSummary_numberOfHumanWorkersPerDataObject :: Lens' LabelingJobForWorkteamSummary (Maybe Natural)
- labelingJobForWorkteamSummary_jobReferenceCode :: Lens' LabelingJobForWorkteamSummary Text
- labelingJobForWorkteamSummary_workRequesterAccountId :: Lens' LabelingJobForWorkteamSummary Text
- labelingJobForWorkteamSummary_creationTime :: Lens' LabelingJobForWorkteamSummary UTCTime
- labelingJobInputConfig_dataAttributes :: Lens' LabelingJobInputConfig (Maybe LabelingJobDataAttributes)
- labelingJobInputConfig_dataSource :: Lens' LabelingJobInputConfig LabelingJobDataSource
- labelingJobOutput_finalActiveLearningModelArn :: Lens' LabelingJobOutput (Maybe Text)
- labelingJobOutput_outputDatasetS3Uri :: Lens' LabelingJobOutput Text
- labelingJobOutputConfig_kmsKeyId :: Lens' LabelingJobOutputConfig (Maybe Text)
- labelingJobOutputConfig_snsTopicArn :: Lens' LabelingJobOutputConfig (Maybe Text)
- labelingJobOutputConfig_s3OutputPath :: Lens' LabelingJobOutputConfig Text
- labelingJobResourceConfig_volumeKmsKeyId :: Lens' LabelingJobResourceConfig (Maybe Text)
- labelingJobResourceConfig_vpcConfig :: Lens' LabelingJobResourceConfig (Maybe VpcConfig)
- labelingJobS3DataSource_manifestS3Uri :: Lens' LabelingJobS3DataSource Text
- labelingJobSnsDataSource_snsTopicArn :: Lens' LabelingJobSnsDataSource Text
- labelingJobStoppingConditions_maxHumanLabeledObjectCount :: Lens' LabelingJobStoppingConditions (Maybe Natural)
- labelingJobStoppingConditions_maxPercentageOfInputDatasetLabeled :: Lens' LabelingJobStoppingConditions (Maybe Natural)
- labelingJobSummary_annotationConsolidationLambdaArn :: Lens' LabelingJobSummary (Maybe Text)
- labelingJobSummary_failureReason :: Lens' LabelingJobSummary (Maybe Text)
- labelingJobSummary_inputConfig :: Lens' LabelingJobSummary (Maybe LabelingJobInputConfig)
- labelingJobSummary_labelingJobOutput :: Lens' LabelingJobSummary (Maybe LabelingJobOutput)
- labelingJobSummary_labelingJobName :: Lens' LabelingJobSummary Text
- labelingJobSummary_labelingJobArn :: Lens' LabelingJobSummary Text
- labelingJobSummary_creationTime :: Lens' LabelingJobSummary UTCTime
- labelingJobSummary_lastModifiedTime :: Lens' LabelingJobSummary UTCTime
- labelingJobSummary_labelingJobStatus :: Lens' LabelingJobSummary LabelingJobStatus
- labelingJobSummary_labelCounters :: Lens' LabelingJobSummary LabelCounters
- labelingJobSummary_workteamArn :: Lens' LabelingJobSummary Text
- labelingJobSummary_preHumanTaskLambdaArn :: Lens' LabelingJobSummary Text
- lambdaStepMetadata_arn :: Lens' LambdaStepMetadata (Maybe Text)
- lambdaStepMetadata_outputParameters :: Lens' LambdaStepMetadata (Maybe [OutputParameter])
- lastUpdateStatus_failureReason :: Lens' LastUpdateStatus (Maybe Text)
- lastUpdateStatus_status :: Lens' LastUpdateStatus LastUpdateStatusValue
- lineageGroupSummary_creationTime :: Lens' LineageGroupSummary (Maybe UTCTime)
- lineageGroupSummary_displayName :: Lens' LineageGroupSummary (Maybe Text)
- lineageGroupSummary_lastModifiedTime :: Lens' LineageGroupSummary (Maybe UTCTime)
- lineageGroupSummary_lineageGroupArn :: Lens' LineageGroupSummary (Maybe Text)
- lineageGroupSummary_lineageGroupName :: Lens' LineageGroupSummary (Maybe Text)
- memberDefinition_cognitoMemberDefinition :: Lens' MemberDefinition (Maybe CognitoMemberDefinition)
- memberDefinition_oidcMemberDefinition :: Lens' MemberDefinition (Maybe OidcMemberDefinition)
- metadataProperties_commitId :: Lens' MetadataProperties (Maybe Text)
- metadataProperties_generatedBy :: Lens' MetadataProperties (Maybe Text)
- metadataProperties_projectId :: Lens' MetadataProperties (Maybe Text)
- metadataProperties_repository :: Lens' MetadataProperties (Maybe Text)
- metricData_metricName :: Lens' MetricData (Maybe Text)
- metricData_timestamp :: Lens' MetricData (Maybe UTCTime)
- metricData_value :: Lens' MetricData (Maybe Double)
- metricDatum_metricName :: Lens' MetricDatum (Maybe AutoMLMetricEnum)
- metricDatum_set :: Lens' MetricDatum (Maybe MetricSetSource)
- metricDatum_standardMetricName :: Lens' MetricDatum (Maybe AutoMLMetricExtendedEnum)
- metricDatum_value :: Lens' MetricDatum (Maybe Double)
- metricDefinition_name :: Lens' MetricDefinition Text
- metricDefinition_regex :: Lens' MetricDefinition Text
- metricsSource_contentDigest :: Lens' MetricsSource (Maybe Text)
- metricsSource_contentType :: Lens' MetricsSource Text
- metricsSource_s3Uri :: Lens' MetricsSource Text
- model_containers :: Lens' Model (Maybe [ContainerDefinition])
- model_creationTime :: Lens' Model (Maybe UTCTime)
- model_enableNetworkIsolation :: Lens' Model (Maybe Bool)
- model_executionRoleArn :: Lens' Model (Maybe Text)
- model_inferenceExecutionConfig :: Lens' Model (Maybe InferenceExecutionConfig)
- model_modelArn :: Lens' Model (Maybe Text)
- model_modelName :: Lens' Model (Maybe Text)
- model_primaryContainer :: Lens' Model (Maybe ContainerDefinition)
- model_tags :: Lens' Model (Maybe [Tag])
- model_vpcConfig :: Lens' Model (Maybe VpcConfig)
- modelArtifacts_s3ModelArtifacts :: Lens' ModelArtifacts Text
- modelBiasAppSpecification_environment :: Lens' ModelBiasAppSpecification (Maybe (HashMap Text Text))
- modelBiasAppSpecification_imageUri :: Lens' ModelBiasAppSpecification Text
- modelBiasAppSpecification_configUri :: Lens' ModelBiasAppSpecification Text
- modelBiasBaselineConfig_baseliningJobName :: Lens' ModelBiasBaselineConfig (Maybe Text)
- modelBiasBaselineConfig_constraintsResource :: Lens' ModelBiasBaselineConfig (Maybe MonitoringConstraintsResource)
- modelBiasJobInput_batchTransformInput :: Lens' ModelBiasJobInput (Maybe BatchTransformInput)
- modelBiasJobInput_endpointInput :: Lens' ModelBiasJobInput (Maybe EndpointInput)
- modelBiasJobInput_groundTruthS3Input :: Lens' ModelBiasJobInput MonitoringGroundTruthS3Input
- modelCard_content :: Lens' ModelCard (Maybe Text)
- modelCard_createdBy :: Lens' ModelCard (Maybe UserContext)
- modelCard_creationTime :: Lens' ModelCard (Maybe UTCTime)
- modelCard_lastModifiedBy :: Lens' ModelCard (Maybe UserContext)
- modelCard_lastModifiedTime :: Lens' ModelCard (Maybe UTCTime)
- modelCard_modelCardArn :: Lens' ModelCard (Maybe Text)
- modelCard_modelCardName :: Lens' ModelCard (Maybe Text)
- modelCard_modelCardStatus :: Lens' ModelCard (Maybe ModelCardStatus)
- modelCard_modelCardVersion :: Lens' ModelCard (Maybe Int)
- modelCard_modelId :: Lens' ModelCard (Maybe Text)
- modelCard_riskRating :: Lens' ModelCard (Maybe Text)
- modelCard_securityConfig :: Lens' ModelCard (Maybe ModelCardSecurityConfig)
- modelCard_tags :: Lens' ModelCard (Maybe [Tag])
- modelCardExportArtifacts_s3ExportArtifacts :: Lens' ModelCardExportArtifacts Text
- modelCardExportJobSummary_modelCardExportJobName :: Lens' ModelCardExportJobSummary Text
- modelCardExportJobSummary_modelCardExportJobArn :: Lens' ModelCardExportJobSummary Text
- modelCardExportJobSummary_status :: Lens' ModelCardExportJobSummary ModelCardExportJobStatus
- modelCardExportJobSummary_modelCardName :: Lens' ModelCardExportJobSummary Text
- modelCardExportJobSummary_modelCardVersion :: Lens' ModelCardExportJobSummary Int
- modelCardExportJobSummary_createdAt :: Lens' ModelCardExportJobSummary UTCTime
- modelCardExportJobSummary_lastModifiedAt :: Lens' ModelCardExportJobSummary UTCTime
- modelCardExportOutputConfig_s3OutputPath :: Lens' ModelCardExportOutputConfig Text
- modelCardSecurityConfig_kmsKeyId :: Lens' ModelCardSecurityConfig (Maybe Text)
- modelCardSummary_lastModifiedTime :: Lens' ModelCardSummary (Maybe UTCTime)
- modelCardSummary_modelCardName :: Lens' ModelCardSummary Text
- modelCardSummary_modelCardArn :: Lens' ModelCardSummary Text
- modelCardSummary_modelCardStatus :: Lens' ModelCardSummary ModelCardStatus
- modelCardSummary_creationTime :: Lens' ModelCardSummary UTCTime
- modelCardVersionSummary_lastModifiedTime :: Lens' ModelCardVersionSummary (Maybe UTCTime)
- modelCardVersionSummary_modelCardName :: Lens' ModelCardVersionSummary Text
- modelCardVersionSummary_modelCardArn :: Lens' ModelCardVersionSummary Text
- modelCardVersionSummary_modelCardStatus :: Lens' ModelCardVersionSummary ModelCardStatus
- modelCardVersionSummary_modelCardVersion :: Lens' ModelCardVersionSummary Int
- modelCardVersionSummary_creationTime :: Lens' ModelCardVersionSummary UTCTime
- modelClientConfig_invocationsMaxRetries :: Lens' ModelClientConfig (Maybe Natural)
- modelClientConfig_invocationsTimeoutInSeconds :: Lens' ModelClientConfig (Maybe Natural)
- modelConfiguration_environmentParameters :: Lens' ModelConfiguration (Maybe (NonEmpty EnvironmentParameter))
- modelConfiguration_inferenceSpecificationName :: Lens' ModelConfiguration (Maybe Text)
- modelDashboardEndpoint_endpointName :: Lens' ModelDashboardEndpoint Text
- modelDashboardEndpoint_endpointArn :: Lens' ModelDashboardEndpoint Text
- modelDashboardEndpoint_creationTime :: Lens' ModelDashboardEndpoint UTCTime
- modelDashboardEndpoint_lastModifiedTime :: Lens' ModelDashboardEndpoint UTCTime
- modelDashboardEndpoint_endpointStatus :: Lens' ModelDashboardEndpoint EndpointStatus
- modelDashboardIndicatorAction_enabled :: Lens' ModelDashboardIndicatorAction (Maybe Bool)
- modelDashboardModel_endpoints :: Lens' ModelDashboardModel (Maybe [ModelDashboardEndpoint])
- modelDashboardModel_lastBatchTransformJob :: Lens' ModelDashboardModel (Maybe TransformJob)
- modelDashboardModel_model :: Lens' ModelDashboardModel (Maybe Model)
- modelDashboardModel_modelCard :: Lens' ModelDashboardModel (Maybe ModelDashboardModelCard)
- modelDashboardModel_monitoringSchedules :: Lens' ModelDashboardModel (Maybe [ModelDashboardMonitoringSchedule])
- modelDashboardModelCard_createdBy :: Lens' ModelDashboardModelCard (Maybe UserContext)
- modelDashboardModelCard_creationTime :: Lens' ModelDashboardModelCard (Maybe UTCTime)
- modelDashboardModelCard_lastModifiedBy :: Lens' ModelDashboardModelCard (Maybe UserContext)
- modelDashboardModelCard_lastModifiedTime :: Lens' ModelDashboardModelCard (Maybe UTCTime)
- modelDashboardModelCard_modelCardArn :: Lens' ModelDashboardModelCard (Maybe Text)
- modelDashboardModelCard_modelCardName :: Lens' ModelDashboardModelCard (Maybe Text)
- modelDashboardModelCard_modelCardStatus :: Lens' ModelDashboardModelCard (Maybe ModelCardStatus)
- modelDashboardModelCard_modelCardVersion :: Lens' ModelDashboardModelCard (Maybe Int)
- modelDashboardModelCard_modelId :: Lens' ModelDashboardModelCard (Maybe Text)
- modelDashboardModelCard_riskRating :: Lens' ModelDashboardModelCard (Maybe Text)
- modelDashboardModelCard_securityConfig :: Lens' ModelDashboardModelCard (Maybe ModelCardSecurityConfig)
- modelDashboardModelCard_tags :: Lens' ModelDashboardModelCard (Maybe [Tag])
- modelDashboardMonitoringSchedule_creationTime :: Lens' ModelDashboardMonitoringSchedule (Maybe UTCTime)
- modelDashboardMonitoringSchedule_endpointName :: Lens' ModelDashboardMonitoringSchedule (Maybe Text)
- modelDashboardMonitoringSchedule_failureReason :: Lens' ModelDashboardMonitoringSchedule (Maybe Text)
- modelDashboardMonitoringSchedule_lastModifiedTime :: Lens' ModelDashboardMonitoringSchedule (Maybe UTCTime)
- modelDashboardMonitoringSchedule_lastMonitoringExecutionSummary :: Lens' ModelDashboardMonitoringSchedule (Maybe MonitoringExecutionSummary)
- modelDashboardMonitoringSchedule_monitoringAlertSummaries :: Lens' ModelDashboardMonitoringSchedule (Maybe (NonEmpty MonitoringAlertSummary))
- modelDashboardMonitoringSchedule_monitoringScheduleArn :: Lens' ModelDashboardMonitoringSchedule (Maybe Text)
- modelDashboardMonitoringSchedule_monitoringScheduleConfig :: Lens' ModelDashboardMonitoringSchedule (Maybe MonitoringScheduleConfig)
- modelDashboardMonitoringSchedule_monitoringScheduleName :: Lens' ModelDashboardMonitoringSchedule (Maybe Text)
- modelDashboardMonitoringSchedule_monitoringScheduleStatus :: Lens' ModelDashboardMonitoringSchedule (Maybe ScheduleStatus)
- modelDashboardMonitoringSchedule_monitoringType :: Lens' ModelDashboardMonitoringSchedule (Maybe MonitoringType)
- modelDataQuality_constraints :: Lens' ModelDataQuality (Maybe MetricsSource)
- modelDataQuality_statistics :: Lens' ModelDataQuality (Maybe MetricsSource)
- modelDeployConfig_autoGenerateEndpointName :: Lens' ModelDeployConfig (Maybe Bool)
- modelDeployConfig_endpointName :: Lens' ModelDeployConfig (Maybe Text)
- modelDeployResult_endpointName :: Lens' ModelDeployResult (Maybe Text)
- modelDigests_artifactDigest :: Lens' ModelDigests (Maybe Text)
- modelExplainabilityAppSpecification_environment :: Lens' ModelExplainabilityAppSpecification (Maybe (HashMap Text Text))
- modelExplainabilityAppSpecification_imageUri :: Lens' ModelExplainabilityAppSpecification Text
- modelExplainabilityAppSpecification_configUri :: Lens' ModelExplainabilityAppSpecification Text
- modelExplainabilityBaselineConfig_baseliningJobName :: Lens' ModelExplainabilityBaselineConfig (Maybe Text)
- modelExplainabilityBaselineConfig_constraintsResource :: Lens' ModelExplainabilityBaselineConfig (Maybe MonitoringConstraintsResource)
- modelExplainabilityJobInput_batchTransformInput :: Lens' ModelExplainabilityJobInput (Maybe BatchTransformInput)
- modelExplainabilityJobInput_endpointInput :: Lens' ModelExplainabilityJobInput (Maybe EndpointInput)
- modelInfrastructureConfig_infrastructureType :: Lens' ModelInfrastructureConfig ModelInfrastructureType
- modelInfrastructureConfig_realTimeInferenceConfig :: Lens' ModelInfrastructureConfig RealTimeInferenceConfig
- modelInput_dataInputConfig :: Lens' ModelInput Text
- modelLatencyThreshold_percentile :: Lens' ModelLatencyThreshold (Maybe Text)
- modelLatencyThreshold_valueInMilliseconds :: Lens' ModelLatencyThreshold (Maybe Int)
- modelMetadataFilter_name :: Lens' ModelMetadataFilter ModelMetadataFilterType
- modelMetadataFilter_value :: Lens' ModelMetadataFilter Text
- modelMetadataSearchExpression_filters :: Lens' ModelMetadataSearchExpression (Maybe (NonEmpty ModelMetadataFilter))
- modelMetadataSummary_domain :: Lens' ModelMetadataSummary Text
- modelMetadataSummary_framework :: Lens' ModelMetadataSummary Text
- modelMetadataSummary_task :: Lens' ModelMetadataSummary Text
- modelMetadataSummary_model :: Lens' ModelMetadataSummary Text
- modelMetadataSummary_frameworkVersion :: Lens' ModelMetadataSummary Text
- modelMetrics_bias :: Lens' ModelMetrics (Maybe Bias)
- modelMetrics_explainability :: Lens' ModelMetrics (Maybe Explainability)
- modelMetrics_modelDataQuality :: Lens' ModelMetrics (Maybe ModelDataQuality)
- modelMetrics_modelQuality :: Lens' ModelMetrics (Maybe ModelQuality)
- modelPackage_additionalInferenceSpecifications :: Lens' ModelPackage (Maybe (NonEmpty AdditionalInferenceSpecificationDefinition))
- modelPackage_approvalDescription :: Lens' ModelPackage (Maybe Text)
- modelPackage_certifyForMarketplace :: Lens' ModelPackage (Maybe Bool)
- modelPackage_createdBy :: Lens' ModelPackage (Maybe UserContext)
- modelPackage_creationTime :: Lens' ModelPackage (Maybe UTCTime)
- modelPackage_customerMetadataProperties :: Lens' ModelPackage (Maybe (HashMap Text Text))
- modelPackage_domain :: Lens' ModelPackage (Maybe Text)
- modelPackage_driftCheckBaselines :: Lens' ModelPackage (Maybe DriftCheckBaselines)
- modelPackage_inferenceSpecification :: Lens' ModelPackage (Maybe InferenceSpecification)
- modelPackage_lastModifiedBy :: Lens' ModelPackage (Maybe UserContext)
- modelPackage_lastModifiedTime :: Lens' ModelPackage (Maybe UTCTime)
- modelPackage_metadataProperties :: Lens' ModelPackage (Maybe MetadataProperties)
- modelPackage_modelApprovalStatus :: Lens' ModelPackage (Maybe ModelApprovalStatus)
- modelPackage_modelMetrics :: Lens' ModelPackage (Maybe ModelMetrics)
- modelPackage_modelPackageArn :: Lens' ModelPackage (Maybe Text)
- modelPackage_modelPackageDescription :: Lens' ModelPackage (Maybe Text)
- modelPackage_modelPackageGroupName :: Lens' ModelPackage (Maybe Text)
- modelPackage_modelPackageName :: Lens' ModelPackage (Maybe Text)
- modelPackage_modelPackageStatus :: Lens' ModelPackage (Maybe ModelPackageStatus)
- modelPackage_modelPackageStatusDetails :: Lens' ModelPackage (Maybe ModelPackageStatusDetails)
- modelPackage_modelPackageVersion :: Lens' ModelPackage (Maybe Natural)
- modelPackage_samplePayloadUrl :: Lens' ModelPackage (Maybe Text)
- modelPackage_sourceAlgorithmSpecification :: Lens' ModelPackage (Maybe SourceAlgorithmSpecification)
- modelPackage_tags :: Lens' ModelPackage (Maybe [Tag])
- modelPackage_task :: Lens' ModelPackage (Maybe Text)
- modelPackage_validationSpecification :: Lens' ModelPackage (Maybe ModelPackageValidationSpecification)
- modelPackageContainerDefinition_containerHostname :: Lens' ModelPackageContainerDefinition (Maybe Text)
- modelPackageContainerDefinition_environment :: Lens' ModelPackageContainerDefinition (Maybe (HashMap Text Text))
- modelPackageContainerDefinition_framework :: Lens' ModelPackageContainerDefinition (Maybe Text)
- modelPackageContainerDefinition_frameworkVersion :: Lens' ModelPackageContainerDefinition (Maybe Text)
- modelPackageContainerDefinition_imageDigest :: Lens' ModelPackageContainerDefinition (Maybe Text)
- modelPackageContainerDefinition_modelDataUrl :: Lens' ModelPackageContainerDefinition (Maybe Text)
- modelPackageContainerDefinition_modelInput :: Lens' ModelPackageContainerDefinition (Maybe ModelInput)
- modelPackageContainerDefinition_nearestModelName :: Lens' ModelPackageContainerDefinition (Maybe Text)
- modelPackageContainerDefinition_productId :: Lens' ModelPackageContainerDefinition (Maybe Text)
- modelPackageContainerDefinition_image :: Lens' ModelPackageContainerDefinition Text
- modelPackageGroup_createdBy :: Lens' ModelPackageGroup (Maybe UserContext)
- modelPackageGroup_creationTime :: Lens' ModelPackageGroup (Maybe UTCTime)
- modelPackageGroup_modelPackageGroupArn :: Lens' ModelPackageGroup (Maybe Text)
- modelPackageGroup_modelPackageGroupDescription :: Lens' ModelPackageGroup (Maybe Text)
- modelPackageGroup_modelPackageGroupName :: Lens' ModelPackageGroup (Maybe Text)
- modelPackageGroup_modelPackageGroupStatus :: Lens' ModelPackageGroup (Maybe ModelPackageGroupStatus)
- modelPackageGroup_tags :: Lens' ModelPackageGroup (Maybe [Tag])
- modelPackageGroupSummary_modelPackageGroupDescription :: Lens' ModelPackageGroupSummary (Maybe Text)
- modelPackageGroupSummary_modelPackageGroupName :: Lens' ModelPackageGroupSummary Text
- modelPackageGroupSummary_modelPackageGroupArn :: Lens' ModelPackageGroupSummary Text
- modelPackageGroupSummary_creationTime :: Lens' ModelPackageGroupSummary UTCTime
- modelPackageGroupSummary_modelPackageGroupStatus :: Lens' ModelPackageGroupSummary ModelPackageGroupStatus
- modelPackageStatusDetails_imageScanStatuses :: Lens' ModelPackageStatusDetails (Maybe [ModelPackageStatusItem])
- modelPackageStatusDetails_validationStatuses :: Lens' ModelPackageStatusDetails [ModelPackageStatusItem]
- modelPackageStatusItem_failureReason :: Lens' ModelPackageStatusItem (Maybe Text)
- modelPackageStatusItem_name :: Lens' ModelPackageStatusItem Text
- modelPackageStatusItem_status :: Lens' ModelPackageStatusItem DetailedModelPackageStatus
- modelPackageSummary_modelApprovalStatus :: Lens' ModelPackageSummary (Maybe ModelApprovalStatus)
- modelPackageSummary_modelPackageDescription :: Lens' ModelPackageSummary (Maybe Text)
- modelPackageSummary_modelPackageGroupName :: Lens' ModelPackageSummary (Maybe Text)
- modelPackageSummary_modelPackageVersion :: Lens' ModelPackageSummary (Maybe Natural)
- modelPackageSummary_modelPackageName :: Lens' ModelPackageSummary Text
- modelPackageSummary_modelPackageArn :: Lens' ModelPackageSummary Text
- modelPackageSummary_creationTime :: Lens' ModelPackageSummary UTCTime
- modelPackageSummary_modelPackageStatus :: Lens' ModelPackageSummary ModelPackageStatus
- modelPackageValidationProfile_profileName :: Lens' ModelPackageValidationProfile Text
- modelPackageValidationProfile_transformJobDefinition :: Lens' ModelPackageValidationProfile TransformJobDefinition
- modelPackageValidationSpecification_validationRole :: Lens' ModelPackageValidationSpecification Text
- modelPackageValidationSpecification_validationProfiles :: Lens' ModelPackageValidationSpecification (NonEmpty ModelPackageValidationProfile)
- modelQuality_constraints :: Lens' ModelQuality (Maybe MetricsSource)
- modelQuality_statistics :: Lens' ModelQuality (Maybe MetricsSource)
- modelQualityAppSpecification_containerArguments :: Lens' ModelQualityAppSpecification (Maybe (NonEmpty Text))
- modelQualityAppSpecification_containerEntrypoint :: Lens' ModelQualityAppSpecification (Maybe (NonEmpty Text))
- modelQualityAppSpecification_environment :: Lens' ModelQualityAppSpecification (Maybe (HashMap Text Text))
- modelQualityAppSpecification_postAnalyticsProcessorSourceUri :: Lens' ModelQualityAppSpecification (Maybe Text)
- modelQualityAppSpecification_problemType :: Lens' ModelQualityAppSpecification (Maybe MonitoringProblemType)
- modelQualityAppSpecification_recordPreprocessorSourceUri :: Lens' ModelQualityAppSpecification (Maybe Text)
- modelQualityAppSpecification_imageUri :: Lens' ModelQualityAppSpecification Text
- modelQualityBaselineConfig_baseliningJobName :: Lens' ModelQualityBaselineConfig (Maybe Text)
- modelQualityBaselineConfig_constraintsResource :: Lens' ModelQualityBaselineConfig (Maybe MonitoringConstraintsResource)
- modelQualityJobInput_batchTransformInput :: Lens' ModelQualityJobInput (Maybe BatchTransformInput)
- modelQualityJobInput_endpointInput :: Lens' ModelQualityJobInput (Maybe EndpointInput)
- modelQualityJobInput_groundTruthS3Input :: Lens' ModelQualityJobInput MonitoringGroundTruthS3Input
- modelStepMetadata_arn :: Lens' ModelStepMetadata (Maybe Text)
- modelSummary_modelName :: Lens' ModelSummary Text
- modelSummary_modelArn :: Lens' ModelSummary Text
- modelSummary_creationTime :: Lens' ModelSummary UTCTime
- modelVariantConfig_modelName :: Lens' ModelVariantConfig Text
- modelVariantConfig_variantName :: Lens' ModelVariantConfig Text
- modelVariantConfig_infrastructureConfig :: Lens' ModelVariantConfig ModelInfrastructureConfig
- modelVariantConfigSummary_modelName :: Lens' ModelVariantConfigSummary Text
- modelVariantConfigSummary_variantName :: Lens' ModelVariantConfigSummary Text
- modelVariantConfigSummary_infrastructureConfig :: Lens' ModelVariantConfigSummary ModelInfrastructureConfig
- modelVariantConfigSummary_status :: Lens' ModelVariantConfigSummary ModelVariantStatus
- monitoringAlertActions_modelDashboardIndicator :: Lens' MonitoringAlertActions (Maybe ModelDashboardIndicatorAction)
- monitoringAlertHistorySummary_monitoringScheduleName :: Lens' MonitoringAlertHistorySummary Text
- monitoringAlertHistorySummary_monitoringAlertName :: Lens' MonitoringAlertHistorySummary Text
- monitoringAlertHistorySummary_creationTime :: Lens' MonitoringAlertHistorySummary UTCTime
- monitoringAlertHistorySummary_alertStatus :: Lens' MonitoringAlertHistorySummary MonitoringAlertStatus
- monitoringAlertSummary_monitoringAlertName :: Lens' MonitoringAlertSummary Text
- monitoringAlertSummary_creationTime :: Lens' MonitoringAlertSummary UTCTime
- monitoringAlertSummary_lastModifiedTime :: Lens' MonitoringAlertSummary UTCTime
- monitoringAlertSummary_alertStatus :: Lens' MonitoringAlertSummary MonitoringAlertStatus
- monitoringAlertSummary_datapointsToAlert :: Lens' MonitoringAlertSummary Natural
- monitoringAlertSummary_evaluationPeriod :: Lens' MonitoringAlertSummary Natural
- monitoringAlertSummary_actions :: Lens' MonitoringAlertSummary MonitoringAlertActions
- monitoringAppSpecification_containerArguments :: Lens' MonitoringAppSpecification (Maybe (NonEmpty Text))
- monitoringAppSpecification_containerEntrypoint :: Lens' MonitoringAppSpecification (Maybe (NonEmpty Text))
- monitoringAppSpecification_postAnalyticsProcessorSourceUri :: Lens' MonitoringAppSpecification (Maybe Text)
- monitoringAppSpecification_recordPreprocessorSourceUri :: Lens' MonitoringAppSpecification (Maybe Text)
- monitoringAppSpecification_imageUri :: Lens' MonitoringAppSpecification Text
- monitoringBaselineConfig_baseliningJobName :: Lens' MonitoringBaselineConfig (Maybe Text)
- monitoringBaselineConfig_constraintsResource :: Lens' MonitoringBaselineConfig (Maybe MonitoringConstraintsResource)
- monitoringBaselineConfig_statisticsResource :: Lens' MonitoringBaselineConfig (Maybe MonitoringStatisticsResource)
- monitoringClusterConfig_volumeKmsKeyId :: Lens' MonitoringClusterConfig (Maybe Text)
- monitoringClusterConfig_instanceCount :: Lens' MonitoringClusterConfig Natural
- monitoringClusterConfig_instanceType :: Lens' MonitoringClusterConfig ProcessingInstanceType
- monitoringClusterConfig_volumeSizeInGB :: Lens' MonitoringClusterConfig Natural
- monitoringConstraintsResource_s3Uri :: Lens' MonitoringConstraintsResource (Maybe Text)
- monitoringCsvDatasetFormat_header :: Lens' MonitoringCsvDatasetFormat (Maybe Bool)
- monitoringDatasetFormat_csv :: Lens' MonitoringDatasetFormat (Maybe MonitoringCsvDatasetFormat)
- monitoringDatasetFormat_json :: Lens' MonitoringDatasetFormat (Maybe MonitoringJsonDatasetFormat)
- monitoringDatasetFormat_parquet :: Lens' MonitoringDatasetFormat (Maybe MonitoringParquetDatasetFormat)
- monitoringExecutionSummary_endpointName :: Lens' MonitoringExecutionSummary (Maybe Text)
- monitoringExecutionSummary_failureReason :: Lens' MonitoringExecutionSummary (Maybe Text)
- monitoringExecutionSummary_monitoringJobDefinitionName :: Lens' MonitoringExecutionSummary (Maybe Text)
- monitoringExecutionSummary_monitoringType :: Lens' MonitoringExecutionSummary (Maybe MonitoringType)
- monitoringExecutionSummary_processingJobArn :: Lens' MonitoringExecutionSummary (Maybe Text)
- monitoringExecutionSummary_monitoringScheduleName :: Lens' MonitoringExecutionSummary Text
- monitoringExecutionSummary_scheduledTime :: Lens' MonitoringExecutionSummary UTCTime
- monitoringExecutionSummary_creationTime :: Lens' MonitoringExecutionSummary UTCTime
- monitoringExecutionSummary_lastModifiedTime :: Lens' MonitoringExecutionSummary UTCTime
- monitoringExecutionSummary_monitoringExecutionStatus :: Lens' MonitoringExecutionSummary ExecutionStatus
- monitoringGroundTruthS3Input_s3Uri :: Lens' MonitoringGroundTruthS3Input (Maybe Text)
- monitoringInput_batchTransformInput :: Lens' MonitoringInput (Maybe BatchTransformInput)
- monitoringInput_endpointInput :: Lens' MonitoringInput (Maybe EndpointInput)
- monitoringJobDefinition_baselineConfig :: Lens' MonitoringJobDefinition (Maybe MonitoringBaselineConfig)
- monitoringJobDefinition_environment :: Lens' MonitoringJobDefinition (Maybe (HashMap Text Text))
- monitoringJobDefinition_networkConfig :: Lens' MonitoringJobDefinition (Maybe NetworkConfig)
- monitoringJobDefinition_stoppingCondition :: Lens' MonitoringJobDefinition (Maybe MonitoringStoppingCondition)
- monitoringJobDefinition_monitoringInputs :: Lens' MonitoringJobDefinition (NonEmpty MonitoringInput)
- monitoringJobDefinition_monitoringOutputConfig :: Lens' MonitoringJobDefinition MonitoringOutputConfig
- monitoringJobDefinition_monitoringResources :: Lens' MonitoringJobDefinition MonitoringResources
- monitoringJobDefinition_monitoringAppSpecification :: Lens' MonitoringJobDefinition MonitoringAppSpecification
- monitoringJobDefinition_roleArn :: Lens' MonitoringJobDefinition Text
- monitoringJobDefinitionSummary_monitoringJobDefinitionName :: Lens' MonitoringJobDefinitionSummary Text
- monitoringJobDefinitionSummary_monitoringJobDefinitionArn :: Lens' MonitoringJobDefinitionSummary Text
- monitoringJobDefinitionSummary_creationTime :: Lens' MonitoringJobDefinitionSummary UTCTime
- monitoringJobDefinitionSummary_endpointName :: Lens' MonitoringJobDefinitionSummary Text
- monitoringJsonDatasetFormat_line :: Lens' MonitoringJsonDatasetFormat (Maybe Bool)
- monitoringNetworkConfig_enableInterContainerTrafficEncryption :: Lens' MonitoringNetworkConfig (Maybe Bool)
- monitoringNetworkConfig_enableNetworkIsolation :: Lens' MonitoringNetworkConfig (Maybe Bool)
- monitoringNetworkConfig_vpcConfig :: Lens' MonitoringNetworkConfig (Maybe VpcConfig)
- monitoringOutput_s3Output :: Lens' MonitoringOutput MonitoringS3Output
- monitoringOutputConfig_kmsKeyId :: Lens' MonitoringOutputConfig (Maybe Text)
- monitoringOutputConfig_monitoringOutputs :: Lens' MonitoringOutputConfig (NonEmpty MonitoringOutput)
- monitoringResources_clusterConfig :: Lens' MonitoringResources MonitoringClusterConfig
- monitoringS3Output_s3UploadMode :: Lens' MonitoringS3Output (Maybe ProcessingS3UploadMode)
- monitoringS3Output_s3Uri :: Lens' MonitoringS3Output Text
- monitoringS3Output_localPath :: Lens' MonitoringS3Output Text
- monitoringSchedule_creationTime :: Lens' MonitoringSchedule (Maybe UTCTime)
- monitoringSchedule_endpointName :: Lens' MonitoringSchedule (Maybe Text)
- monitoringSchedule_failureReason :: Lens' MonitoringSchedule (Maybe Text)
- monitoringSchedule_lastModifiedTime :: Lens' MonitoringSchedule (Maybe UTCTime)
- monitoringSchedule_lastMonitoringExecutionSummary :: Lens' MonitoringSchedule (Maybe MonitoringExecutionSummary)
- monitoringSchedule_monitoringScheduleArn :: Lens' MonitoringSchedule (Maybe Text)
- monitoringSchedule_monitoringScheduleConfig :: Lens' MonitoringSchedule (Maybe MonitoringScheduleConfig)
- monitoringSchedule_monitoringScheduleName :: Lens' MonitoringSchedule (Maybe Text)
- monitoringSchedule_monitoringScheduleStatus :: Lens' MonitoringSchedule (Maybe ScheduleStatus)
- monitoringSchedule_monitoringType :: Lens' MonitoringSchedule (Maybe MonitoringType)
- monitoringSchedule_tags :: Lens' MonitoringSchedule (Maybe [Tag])
- monitoringScheduleConfig_monitoringJobDefinition :: Lens' MonitoringScheduleConfig (Maybe MonitoringJobDefinition)
- monitoringScheduleConfig_monitoringJobDefinitionName :: Lens' MonitoringScheduleConfig (Maybe Text)
- monitoringScheduleConfig_monitoringType :: Lens' MonitoringScheduleConfig (Maybe MonitoringType)
- monitoringScheduleConfig_scheduleConfig :: Lens' MonitoringScheduleConfig (Maybe ScheduleConfig)
- monitoringScheduleSummary_endpointName :: Lens' MonitoringScheduleSummary (Maybe Text)
- monitoringScheduleSummary_monitoringJobDefinitionName :: Lens' MonitoringScheduleSummary (Maybe Text)
- monitoringScheduleSummary_monitoringType :: Lens' MonitoringScheduleSummary (Maybe MonitoringType)
- monitoringScheduleSummary_monitoringScheduleName :: Lens' MonitoringScheduleSummary Text
- monitoringScheduleSummary_monitoringScheduleArn :: Lens' MonitoringScheduleSummary Text
- monitoringScheduleSummary_creationTime :: Lens' MonitoringScheduleSummary UTCTime
- monitoringScheduleSummary_lastModifiedTime :: Lens' MonitoringScheduleSummary UTCTime
- monitoringScheduleSummary_monitoringScheduleStatus :: Lens' MonitoringScheduleSummary ScheduleStatus
- monitoringStatisticsResource_s3Uri :: Lens' MonitoringStatisticsResource (Maybe Text)
- monitoringStoppingCondition_maxRuntimeInSeconds :: Lens' MonitoringStoppingCondition Natural
- multiModelConfig_modelCacheSetting :: Lens' MultiModelConfig (Maybe ModelCacheSetting)
- neoVpcConfig_securityGroupIds :: Lens' NeoVpcConfig (NonEmpty Text)
- neoVpcConfig_subnets :: Lens' NeoVpcConfig (NonEmpty Text)
- nestedFilters_nestedPropertyName :: Lens' NestedFilters Text
- nestedFilters_filters :: Lens' NestedFilters (NonEmpty Filter)
- networkConfig_enableInterContainerTrafficEncryption :: Lens' NetworkConfig (Maybe Bool)
- networkConfig_enableNetworkIsolation :: Lens' NetworkConfig (Maybe Bool)
- networkConfig_vpcConfig :: Lens' NetworkConfig (Maybe VpcConfig)
- notebookInstanceLifecycleConfigSummary_creationTime :: Lens' NotebookInstanceLifecycleConfigSummary (Maybe UTCTime)
- notebookInstanceLifecycleConfigSummary_lastModifiedTime :: Lens' NotebookInstanceLifecycleConfigSummary (Maybe UTCTime)
- notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigName :: Lens' NotebookInstanceLifecycleConfigSummary Text
- notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigArn :: Lens' NotebookInstanceLifecycleConfigSummary Text
- notebookInstanceLifecycleHook_content :: Lens' NotebookInstanceLifecycleHook (Maybe Text)
- notebookInstanceSummary_additionalCodeRepositories :: Lens' NotebookInstanceSummary (Maybe [Text])
- notebookInstanceSummary_creationTime :: Lens' NotebookInstanceSummary (Maybe UTCTime)
- notebookInstanceSummary_defaultCodeRepository :: Lens' NotebookInstanceSummary (Maybe Text)
- notebookInstanceSummary_instanceType :: Lens' NotebookInstanceSummary (Maybe InstanceType)
- notebookInstanceSummary_lastModifiedTime :: Lens' NotebookInstanceSummary (Maybe UTCTime)
- notebookInstanceSummary_notebookInstanceLifecycleConfigName :: Lens' NotebookInstanceSummary (Maybe Text)
- notebookInstanceSummary_notebookInstanceStatus :: Lens' NotebookInstanceSummary (Maybe NotebookInstanceStatus)
- notebookInstanceSummary_url :: Lens' NotebookInstanceSummary (Maybe Text)
- notebookInstanceSummary_notebookInstanceName :: Lens' NotebookInstanceSummary Text
- notebookInstanceSummary_notebookInstanceArn :: Lens' NotebookInstanceSummary Text
- notificationConfiguration_notificationTopicArn :: Lens' NotificationConfiguration (Maybe Text)
- objectiveStatusCounters_failed :: Lens' ObjectiveStatusCounters (Maybe Natural)
- objectiveStatusCounters_pending :: Lens' ObjectiveStatusCounters (Maybe Natural)
- objectiveStatusCounters_succeeded :: Lens' ObjectiveStatusCounters (Maybe Natural)
- offlineStoreConfig_dataCatalogConfig :: Lens' OfflineStoreConfig (Maybe DataCatalogConfig)
- offlineStoreConfig_disableGlueTableCreation :: Lens' OfflineStoreConfig (Maybe Bool)
- offlineStoreConfig_tableFormat :: Lens' OfflineStoreConfig (Maybe TableFormat)
- offlineStoreConfig_s3StorageConfig :: Lens' OfflineStoreConfig S3StorageConfig
- offlineStoreStatus_blockedReason :: Lens' OfflineStoreStatus (Maybe Text)
- offlineStoreStatus_status :: Lens' OfflineStoreStatus OfflineStoreStatusValue
- oidcConfig_clientId :: Lens' OidcConfig Text
- oidcConfig_clientSecret :: Lens' OidcConfig Text
- oidcConfig_issuer :: Lens' OidcConfig Text
- oidcConfig_authorizationEndpoint :: Lens' OidcConfig Text
- oidcConfig_tokenEndpoint :: Lens' OidcConfig Text
- oidcConfig_userInfoEndpoint :: Lens' OidcConfig Text
- oidcConfig_logoutEndpoint :: Lens' OidcConfig Text
- oidcConfig_jwksUri :: Lens' OidcConfig Text
- oidcConfigForResponse_authorizationEndpoint :: Lens' OidcConfigForResponse (Maybe Text)
- oidcConfigForResponse_clientId :: Lens' OidcConfigForResponse (Maybe Text)
- oidcConfigForResponse_issuer :: Lens' OidcConfigForResponse (Maybe Text)
- oidcConfigForResponse_jwksUri :: Lens' OidcConfigForResponse (Maybe Text)
- oidcConfigForResponse_logoutEndpoint :: Lens' OidcConfigForResponse (Maybe Text)
- oidcConfigForResponse_tokenEndpoint :: Lens' OidcConfigForResponse (Maybe Text)
- oidcConfigForResponse_userInfoEndpoint :: Lens' OidcConfigForResponse (Maybe Text)
- oidcMemberDefinition_groups :: Lens' OidcMemberDefinition (NonEmpty Text)
- onlineStoreConfig_enableOnlineStore :: Lens' OnlineStoreConfig (Maybe Bool)
- onlineStoreConfig_securityConfig :: Lens' OnlineStoreConfig (Maybe OnlineStoreSecurityConfig)
- onlineStoreSecurityConfig_kmsKeyId :: Lens' OnlineStoreSecurityConfig (Maybe Text)
- outputConfig_compilerOptions :: Lens' OutputConfig (Maybe Text)
- outputConfig_kmsKeyId :: Lens' OutputConfig (Maybe Text)
- outputConfig_targetDevice :: Lens' OutputConfig (Maybe TargetDevice)
- outputConfig_targetPlatform :: Lens' OutputConfig (Maybe TargetPlatform)
- outputConfig_s3OutputLocation :: Lens' OutputConfig Text
- outputDataConfig_kmsKeyId :: Lens' OutputDataConfig (Maybe Text)
- outputDataConfig_s3OutputPath :: Lens' OutputDataConfig Text
- outputParameter_name :: Lens' OutputParameter Text
- outputParameter_value :: Lens' OutputParameter Text
- parallelismConfiguration_maxParallelExecutionSteps :: Lens' ParallelismConfiguration Natural
- parameter_name :: Lens' Parameter Text
- parameter_value :: Lens' Parameter Text
- parameterRange_categoricalParameterRangeSpecification :: Lens' ParameterRange (Maybe CategoricalParameterRangeSpecification)
- parameterRange_continuousParameterRangeSpecification :: Lens' ParameterRange (Maybe ContinuousParameterRangeSpecification)
- parameterRange_integerParameterRangeSpecification :: Lens' ParameterRange (Maybe IntegerParameterRangeSpecification)
- parameterRanges_categoricalParameterRanges :: Lens' ParameterRanges (Maybe [CategoricalParameterRange])
- parameterRanges_continuousParameterRanges :: Lens' ParameterRanges (Maybe [ContinuousParameterRange])
- parameterRanges_integerParameterRanges :: Lens' ParameterRanges (Maybe [IntegerParameterRange])
- parent_experimentName :: Lens' Parent (Maybe Text)
- parent_trialName :: Lens' Parent (Maybe Text)
- parentHyperParameterTuningJob_hyperParameterTuningJobName :: Lens' ParentHyperParameterTuningJob (Maybe Text)
- pendingDeploymentSummary_productionVariants :: Lens' PendingDeploymentSummary (Maybe (NonEmpty PendingProductionVariantSummary))
- pendingDeploymentSummary_shadowProductionVariants :: Lens' PendingDeploymentSummary (Maybe (NonEmpty PendingProductionVariantSummary))
- pendingDeploymentSummary_startTime :: Lens' PendingDeploymentSummary (Maybe UTCTime)
- pendingDeploymentSummary_endpointConfigName :: Lens' PendingDeploymentSummary Text
- pendingProductionVariantSummary_acceleratorType :: Lens' PendingProductionVariantSummary (Maybe ProductionVariantAcceleratorType)
- pendingProductionVariantSummary_currentInstanceCount :: Lens' PendingProductionVariantSummary (Maybe Natural)
- pendingProductionVariantSummary_currentServerlessConfig :: Lens' PendingProductionVariantSummary (Maybe ProductionVariantServerlessConfig)
- pendingProductionVariantSummary_currentWeight :: Lens' PendingProductionVariantSummary (Maybe Double)
- pendingProductionVariantSummary_deployedImages :: Lens' PendingProductionVariantSummary (Maybe [DeployedImage])
- pendingProductionVariantSummary_desiredInstanceCount :: Lens' PendingProductionVariantSummary (Maybe Natural)
- pendingProductionVariantSummary_desiredServerlessConfig :: Lens' PendingProductionVariantSummary (Maybe ProductionVariantServerlessConfig)
- pendingProductionVariantSummary_desiredWeight :: Lens' PendingProductionVariantSummary (Maybe Double)
- pendingProductionVariantSummary_instanceType :: Lens' PendingProductionVariantSummary (Maybe ProductionVariantInstanceType)
- pendingProductionVariantSummary_variantStatus :: Lens' PendingProductionVariantSummary (Maybe [ProductionVariantStatus])
- pendingProductionVariantSummary_variantName :: Lens' PendingProductionVariantSummary Text
- phase_durationInSeconds :: Lens' Phase (Maybe Natural)
- phase_initialNumberOfUsers :: Lens' Phase (Maybe Natural)
- phase_spawnRate :: Lens' Phase (Maybe Natural)
- pipeline_createdBy :: Lens' Pipeline (Maybe UserContext)
- pipeline_creationTime :: Lens' Pipeline (Maybe UTCTime)
- pipeline_lastModifiedBy :: Lens' Pipeline (Maybe UserContext)
- pipeline_lastModifiedTime :: Lens' Pipeline (Maybe UTCTime)
- pipeline_lastRunTime :: Lens' Pipeline (Maybe UTCTime)
- pipeline_parallelismConfiguration :: Lens' Pipeline (Maybe ParallelismConfiguration)
- pipeline_pipelineArn :: Lens' Pipeline (Maybe Text)
- pipeline_pipelineDescription :: Lens' Pipeline (Maybe Text)
- pipeline_pipelineDisplayName :: Lens' Pipeline (Maybe Text)
- pipeline_pipelineName :: Lens' Pipeline (Maybe Text)
- pipeline_pipelineStatus :: Lens' Pipeline (Maybe PipelineStatus)
- pipeline_roleArn :: Lens' Pipeline (Maybe Text)
- pipeline_tags :: Lens' Pipeline (Maybe [Tag])
- pipelineDefinitionS3Location_versionId :: Lens' PipelineDefinitionS3Location (Maybe Text)
- pipelineDefinitionS3Location_bucket :: Lens' PipelineDefinitionS3Location Text
- pipelineDefinitionS3Location_objectKey :: Lens' PipelineDefinitionS3Location Text
- pipelineExecution_createdBy :: Lens' PipelineExecution (Maybe UserContext)
- pipelineExecution_creationTime :: Lens' PipelineExecution (Maybe UTCTime)
- pipelineExecution_failureReason :: Lens' PipelineExecution (Maybe Text)
- pipelineExecution_lastModifiedBy :: Lens' PipelineExecution (Maybe UserContext)
- pipelineExecution_lastModifiedTime :: Lens' PipelineExecution (Maybe UTCTime)
- pipelineExecution_parallelismConfiguration :: Lens' PipelineExecution (Maybe ParallelismConfiguration)
- pipelineExecution_pipelineArn :: Lens' PipelineExecution (Maybe Text)
- pipelineExecution_pipelineExecutionArn :: Lens' PipelineExecution (Maybe Text)
- pipelineExecution_pipelineExecutionDescription :: Lens' PipelineExecution (Maybe Text)
- pipelineExecution_pipelineExecutionDisplayName :: Lens' PipelineExecution (Maybe Text)
- pipelineExecution_pipelineExecutionStatus :: Lens' PipelineExecution (Maybe PipelineExecutionStatus)
- pipelineExecution_pipelineExperimentConfig :: Lens' PipelineExecution (Maybe PipelineExperimentConfig)
- pipelineExecution_pipelineParameters :: Lens' PipelineExecution (Maybe [Parameter])
- pipelineExecutionStep_attemptCount :: Lens' PipelineExecutionStep (Maybe Int)
- pipelineExecutionStep_cacheHitResult :: Lens' PipelineExecutionStep (Maybe CacheHitResult)
- pipelineExecutionStep_endTime :: Lens' PipelineExecutionStep (Maybe UTCTime)
- pipelineExecutionStep_failureReason :: Lens' PipelineExecutionStep (Maybe Text)
- pipelineExecutionStep_metadata :: Lens' PipelineExecutionStep (Maybe PipelineExecutionStepMetadata)
- pipelineExecutionStep_startTime :: Lens' PipelineExecutionStep (Maybe UTCTime)
- pipelineExecutionStep_stepDescription :: Lens' PipelineExecutionStep (Maybe Text)
- pipelineExecutionStep_stepDisplayName :: Lens' PipelineExecutionStep (Maybe Text)
- pipelineExecutionStep_stepName :: Lens' PipelineExecutionStep (Maybe Text)
- pipelineExecutionStep_stepStatus :: Lens' PipelineExecutionStep (Maybe StepStatus)
- pipelineExecutionStepMetadata_autoMLJob :: Lens' PipelineExecutionStepMetadata (Maybe AutoMLJobStepMetadata)
- pipelineExecutionStepMetadata_callback :: Lens' PipelineExecutionStepMetadata (Maybe CallbackStepMetadata)
- pipelineExecutionStepMetadata_clarifyCheck :: Lens' PipelineExecutionStepMetadata (Maybe ClarifyCheckStepMetadata)
- pipelineExecutionStepMetadata_condition :: Lens' PipelineExecutionStepMetadata (Maybe ConditionStepMetadata)
- pipelineExecutionStepMetadata_emr :: Lens' PipelineExecutionStepMetadata (Maybe EMRStepMetadata)
- pipelineExecutionStepMetadata_fail :: Lens' PipelineExecutionStepMetadata (Maybe FailStepMetadata)
- pipelineExecutionStepMetadata_lambda :: Lens' PipelineExecutionStepMetadata (Maybe LambdaStepMetadata)
- pipelineExecutionStepMetadata_model :: Lens' PipelineExecutionStepMetadata (Maybe ModelStepMetadata)
- pipelineExecutionStepMetadata_processingJob :: Lens' PipelineExecutionStepMetadata (Maybe ProcessingJobStepMetadata)
- pipelineExecutionStepMetadata_qualityCheck :: Lens' PipelineExecutionStepMetadata (Maybe QualityCheckStepMetadata)
- pipelineExecutionStepMetadata_registerModel :: Lens' PipelineExecutionStepMetadata (Maybe RegisterModelStepMetadata)
- pipelineExecutionStepMetadata_trainingJob :: Lens' PipelineExecutionStepMetadata (Maybe TrainingJobStepMetadata)
- pipelineExecutionStepMetadata_transformJob :: Lens' PipelineExecutionStepMetadata (Maybe TransformJobStepMetadata)
- pipelineExecutionStepMetadata_tuningJob :: Lens' PipelineExecutionStepMetadata (Maybe TuningJobStepMetaData)
- pipelineExecutionSummary_pipelineExecutionArn :: Lens' PipelineExecutionSummary (Maybe Text)
- pipelineExecutionSummary_pipelineExecutionDescription :: Lens' PipelineExecutionSummary (Maybe Text)
- pipelineExecutionSummary_pipelineExecutionDisplayName :: Lens' PipelineExecutionSummary (Maybe Text)
- pipelineExecutionSummary_pipelineExecutionFailureReason :: Lens' PipelineExecutionSummary (Maybe Text)
- pipelineExecutionSummary_pipelineExecutionStatus :: Lens' PipelineExecutionSummary (Maybe PipelineExecutionStatus)
- pipelineExecutionSummary_startTime :: Lens' PipelineExecutionSummary (Maybe UTCTime)
- pipelineExperimentConfig_experimentName :: Lens' PipelineExperimentConfig (Maybe Text)
- pipelineExperimentConfig_trialName :: Lens' PipelineExperimentConfig (Maybe Text)
- pipelineSummary_creationTime :: Lens' PipelineSummary (Maybe UTCTime)
- pipelineSummary_lastExecutionTime :: Lens' PipelineSummary (Maybe UTCTime)
- pipelineSummary_lastModifiedTime :: Lens' PipelineSummary (Maybe UTCTime)
- pipelineSummary_pipelineArn :: Lens' PipelineSummary (Maybe Text)
- pipelineSummary_pipelineDescription :: Lens' PipelineSummary (Maybe Text)
- pipelineSummary_pipelineDisplayName :: Lens' PipelineSummary (Maybe Text)
- pipelineSummary_pipelineName :: Lens' PipelineSummary (Maybe Text)
- pipelineSummary_roleArn :: Lens' PipelineSummary (Maybe Text)
- processingClusterConfig_volumeKmsKeyId :: Lens' ProcessingClusterConfig (Maybe Text)
- processingClusterConfig_instanceCount :: Lens' ProcessingClusterConfig Natural
- processingClusterConfig_instanceType :: Lens' ProcessingClusterConfig ProcessingInstanceType
- processingClusterConfig_volumeSizeInGB :: Lens' ProcessingClusterConfig Natural
- processingFeatureStoreOutput_featureGroupName :: Lens' ProcessingFeatureStoreOutput Text
- processingInput_appManaged :: Lens' ProcessingInput (Maybe Bool)
- processingInput_datasetDefinition :: Lens' ProcessingInput (Maybe DatasetDefinition)
- processingInput_s3Input :: Lens' ProcessingInput (Maybe ProcessingS3Input)
- processingInput_inputName :: Lens' ProcessingInput Text
- processingJob_appSpecification :: Lens' ProcessingJob (Maybe AppSpecification)
- processingJob_autoMLJobArn :: Lens' ProcessingJob (Maybe Text)
- processingJob_creationTime :: Lens' ProcessingJob (Maybe UTCTime)
- processingJob_environment :: Lens' ProcessingJob (Maybe (HashMap Text Text))
- processingJob_exitMessage :: Lens' ProcessingJob (Maybe Text)
- processingJob_experimentConfig :: Lens' ProcessingJob (Maybe ExperimentConfig)
- processingJob_failureReason :: Lens' ProcessingJob (Maybe Text)
- processingJob_lastModifiedTime :: Lens' ProcessingJob (Maybe UTCTime)
- processingJob_monitoringScheduleArn :: Lens' ProcessingJob (Maybe Text)
- processingJob_networkConfig :: Lens' ProcessingJob (Maybe NetworkConfig)
- processingJob_processingEndTime :: Lens' ProcessingJob (Maybe UTCTime)
- processingJob_processingInputs :: Lens' ProcessingJob (Maybe [ProcessingInput])
- processingJob_processingJobArn :: Lens' ProcessingJob (Maybe Text)
- processingJob_processingJobName :: Lens' ProcessingJob (Maybe Text)
- processingJob_processingJobStatus :: Lens' ProcessingJob (Maybe ProcessingJobStatus)
- processingJob_processingOutputConfig :: Lens' ProcessingJob (Maybe ProcessingOutputConfig)
- processingJob_processingResources :: Lens' ProcessingJob (Maybe ProcessingResources)
- processingJob_processingStartTime :: Lens' ProcessingJob (Maybe UTCTime)
- processingJob_roleArn :: Lens' ProcessingJob (Maybe Text)
- processingJob_stoppingCondition :: Lens' ProcessingJob (Maybe ProcessingStoppingCondition)
- processingJob_tags :: Lens' ProcessingJob (Maybe [Tag])
- processingJob_trainingJobArn :: Lens' ProcessingJob (Maybe Text)
- processingJobStepMetadata_arn :: Lens' ProcessingJobStepMetadata (Maybe Text)
- processingJobSummary_exitMessage :: Lens' ProcessingJobSummary (Maybe Text)
- processingJobSummary_failureReason :: Lens' ProcessingJobSummary (Maybe Text)
- processingJobSummary_lastModifiedTime :: Lens' ProcessingJobSummary (Maybe UTCTime)
- processingJobSummary_processingEndTime :: Lens' ProcessingJobSummary (Maybe UTCTime)
- processingJobSummary_processingJobName :: Lens' ProcessingJobSummary Text
- processingJobSummary_processingJobArn :: Lens' ProcessingJobSummary Text
- processingJobSummary_creationTime :: Lens' ProcessingJobSummary UTCTime
- processingJobSummary_processingJobStatus :: Lens' ProcessingJobSummary ProcessingJobStatus
- processingOutput_appManaged :: Lens' ProcessingOutput (Maybe Bool)
- processingOutput_featureStoreOutput :: Lens' ProcessingOutput (Maybe ProcessingFeatureStoreOutput)
- processingOutput_s3Output :: Lens' ProcessingOutput (Maybe ProcessingS3Output)
- processingOutput_outputName :: Lens' ProcessingOutput Text
- processingOutputConfig_kmsKeyId :: Lens' ProcessingOutputConfig (Maybe Text)
- processingOutputConfig_outputs :: Lens' ProcessingOutputConfig [ProcessingOutput]
- processingResources_clusterConfig :: Lens' ProcessingResources ProcessingClusterConfig
- processingS3Input_localPath :: Lens' ProcessingS3Input (Maybe Text)
- processingS3Input_s3CompressionType :: Lens' ProcessingS3Input (Maybe ProcessingS3CompressionType)
- processingS3Input_s3DataDistributionType :: Lens' ProcessingS3Input (Maybe ProcessingS3DataDistributionType)
- processingS3Input_s3InputMode :: Lens' ProcessingS3Input (Maybe ProcessingS3InputMode)
- processingS3Input_s3Uri :: Lens' ProcessingS3Input Text
- processingS3Input_s3DataType :: Lens' ProcessingS3Input ProcessingS3DataType
- processingS3Output_s3Uri :: Lens' ProcessingS3Output Text
- processingS3Output_localPath :: Lens' ProcessingS3Output Text
- processingS3Output_s3UploadMode :: Lens' ProcessingS3Output ProcessingS3UploadMode
- processingStoppingCondition_maxRuntimeInSeconds :: Lens' ProcessingStoppingCondition Natural
- productionVariant_acceleratorType :: Lens' ProductionVariant (Maybe ProductionVariantAcceleratorType)
- productionVariant_containerStartupHealthCheckTimeoutInSeconds :: Lens' ProductionVariant (Maybe Natural)
- productionVariant_coreDumpConfig :: Lens' ProductionVariant (Maybe ProductionVariantCoreDumpConfig)
- productionVariant_initialInstanceCount :: Lens' ProductionVariant (Maybe Natural)
- productionVariant_initialVariantWeight :: Lens' ProductionVariant (Maybe Double)
- productionVariant_instanceType :: Lens' ProductionVariant (Maybe ProductionVariantInstanceType)
- productionVariant_modelDataDownloadTimeoutInSeconds :: Lens' ProductionVariant (Maybe Natural)
- productionVariant_serverlessConfig :: Lens' ProductionVariant (Maybe ProductionVariantServerlessConfig)
- productionVariant_volumeSizeInGB :: Lens' ProductionVariant (Maybe Natural)
- productionVariant_variantName :: Lens' ProductionVariant Text
- productionVariant_modelName :: Lens' ProductionVariant Text
- productionVariantCoreDumpConfig_kmsKeyId :: Lens' ProductionVariantCoreDumpConfig (Maybe Text)
- productionVariantCoreDumpConfig_destinationS3Uri :: Lens' ProductionVariantCoreDumpConfig Text
- productionVariantServerlessConfig_memorySizeInMB :: Lens' ProductionVariantServerlessConfig Natural
- productionVariantServerlessConfig_maxConcurrency :: Lens' ProductionVariantServerlessConfig Natural
- productionVariantStatus_startTime :: Lens' ProductionVariantStatus (Maybe UTCTime)
- productionVariantStatus_statusMessage :: Lens' ProductionVariantStatus (Maybe Text)
- productionVariantStatus_status :: Lens' ProductionVariantStatus VariantStatus
- productionVariantSummary_currentInstanceCount :: Lens' ProductionVariantSummary (Maybe Natural)
- productionVariantSummary_currentServerlessConfig :: Lens' ProductionVariantSummary (Maybe ProductionVariantServerlessConfig)
- productionVariantSummary_currentWeight :: Lens' ProductionVariantSummary (Maybe Double)
- productionVariantSummary_deployedImages :: Lens' ProductionVariantSummary (Maybe [DeployedImage])
- productionVariantSummary_desiredInstanceCount :: Lens' ProductionVariantSummary (Maybe Natural)
- productionVariantSummary_desiredServerlessConfig :: Lens' ProductionVariantSummary (Maybe ProductionVariantServerlessConfig)
- productionVariantSummary_desiredWeight :: Lens' ProductionVariantSummary (Maybe Double)
- productionVariantSummary_variantStatus :: Lens' ProductionVariantSummary (Maybe [ProductionVariantStatus])
- productionVariantSummary_variantName :: Lens' ProductionVariantSummary Text
- profilerConfig_disableProfiler :: Lens' ProfilerConfig (Maybe Bool)
- profilerConfig_profilingIntervalInMilliseconds :: Lens' ProfilerConfig (Maybe Integer)
- profilerConfig_profilingParameters :: Lens' ProfilerConfig (Maybe (HashMap Text Text))
- profilerConfig_s3OutputPath :: Lens' ProfilerConfig (Maybe Text)
- profilerConfigForUpdate_disableProfiler :: Lens' ProfilerConfigForUpdate (Maybe Bool)
- profilerConfigForUpdate_profilingIntervalInMilliseconds :: Lens' ProfilerConfigForUpdate (Maybe Integer)
- profilerConfigForUpdate_profilingParameters :: Lens' ProfilerConfigForUpdate (Maybe (HashMap Text Text))
- profilerConfigForUpdate_s3OutputPath :: Lens' ProfilerConfigForUpdate (Maybe Text)
- profilerRuleConfiguration_instanceType :: Lens' ProfilerRuleConfiguration (Maybe ProcessingInstanceType)
- profilerRuleConfiguration_localPath :: Lens' ProfilerRuleConfiguration (Maybe Text)
- profilerRuleConfiguration_ruleParameters :: Lens' ProfilerRuleConfiguration (Maybe (HashMap Text Text))
- profilerRuleConfiguration_s3OutputPath :: Lens' ProfilerRuleConfiguration (Maybe Text)
- profilerRuleConfiguration_volumeSizeInGB :: Lens' ProfilerRuleConfiguration (Maybe Natural)
- profilerRuleConfiguration_ruleConfigurationName :: Lens' ProfilerRuleConfiguration Text
- profilerRuleConfiguration_ruleEvaluatorImage :: Lens' ProfilerRuleConfiguration Text
- profilerRuleEvaluationStatus_lastModifiedTime :: Lens' ProfilerRuleEvaluationStatus (Maybe UTCTime)
- profilerRuleEvaluationStatus_ruleConfigurationName :: Lens' ProfilerRuleEvaluationStatus (Maybe Text)
- profilerRuleEvaluationStatus_ruleEvaluationJobArn :: Lens' ProfilerRuleEvaluationStatus (Maybe Text)
- profilerRuleEvaluationStatus_ruleEvaluationStatus :: Lens' ProfilerRuleEvaluationStatus (Maybe RuleEvaluationStatus)
- profilerRuleEvaluationStatus_statusDetails :: Lens' ProfilerRuleEvaluationStatus (Maybe Text)
- project_createdBy :: Lens' Project (Maybe UserContext)
- project_creationTime :: Lens' Project (Maybe UTCTime)
- project_lastModifiedBy :: Lens' Project (Maybe UserContext)
- project_lastModifiedTime :: Lens' Project (Maybe UTCTime)
- project_projectArn :: Lens' Project (Maybe Text)
- project_projectDescription :: Lens' Project (Maybe Text)
- project_projectId :: Lens' Project (Maybe Text)
- project_projectName :: Lens' Project (Maybe Text)
- project_projectStatus :: Lens' Project (Maybe ProjectStatus)
- project_serviceCatalogProvisionedProductDetails :: Lens' Project (Maybe ServiceCatalogProvisionedProductDetails)
- project_serviceCatalogProvisioningDetails :: Lens' Project (Maybe ServiceCatalogProvisioningDetails)
- project_tags :: Lens' Project (Maybe [Tag])
- projectSummary_projectDescription :: Lens' ProjectSummary (Maybe Text)
- projectSummary_projectName :: Lens' ProjectSummary Text
- projectSummary_projectArn :: Lens' ProjectSummary Text
- projectSummary_projectId :: Lens' ProjectSummary Text
- projectSummary_creationTime :: Lens' ProjectSummary UTCTime
- projectSummary_projectStatus :: Lens' ProjectSummary ProjectStatus
- propertyNameQuery_propertyNameHint :: Lens' PropertyNameQuery Text
- propertyNameSuggestion_propertyName :: Lens' PropertyNameSuggestion (Maybe Text)
- provisioningParameter_key :: Lens' ProvisioningParameter (Maybe Text)
- provisioningParameter_value :: Lens' ProvisioningParameter (Maybe Text)
- publicWorkforceTaskPrice_amountInUsd :: Lens' PublicWorkforceTaskPrice (Maybe USD)
- qualityCheckStepMetadata_baselineUsedForDriftCheckConstraints :: Lens' QualityCheckStepMetadata (Maybe Text)
- qualityCheckStepMetadata_baselineUsedForDriftCheckStatistics :: Lens' QualityCheckStepMetadata (Maybe Text)
- qualityCheckStepMetadata_calculatedBaselineConstraints :: Lens' QualityCheckStepMetadata (Maybe Text)
- qualityCheckStepMetadata_calculatedBaselineStatistics :: Lens' QualityCheckStepMetadata (Maybe Text)
- qualityCheckStepMetadata_checkJobArn :: Lens' QualityCheckStepMetadata (Maybe Text)
- qualityCheckStepMetadata_checkType :: Lens' QualityCheckStepMetadata (Maybe Text)
- qualityCheckStepMetadata_modelPackageGroupName :: Lens' QualityCheckStepMetadata (Maybe Text)
- qualityCheckStepMetadata_registerNewBaseline :: Lens' QualityCheckStepMetadata (Maybe Bool)
- qualityCheckStepMetadata_skipCheck :: Lens' QualityCheckStepMetadata (Maybe Bool)
- qualityCheckStepMetadata_violationReport :: Lens' QualityCheckStepMetadata (Maybe Text)
- queryFilters_createdAfter :: Lens' QueryFilters (Maybe UTCTime)
- queryFilters_createdBefore :: Lens' QueryFilters (Maybe UTCTime)
- queryFilters_lineageTypes :: Lens' QueryFilters (Maybe [LineageType])
- queryFilters_modifiedAfter :: Lens' QueryFilters (Maybe UTCTime)
- queryFilters_modifiedBefore :: Lens' QueryFilters (Maybe UTCTime)
- queryFilters_properties :: Lens' QueryFilters (Maybe (HashMap Text Text))
- queryFilters_types :: Lens' QueryFilters (Maybe [Text])
- rSessionAppSettings_customImages :: Lens' RSessionAppSettings (Maybe [CustomImage])
- rSessionAppSettings_defaultResourceSpec :: Lens' RSessionAppSettings (Maybe ResourceSpec)
- rStudioServerProAppSettings_accessStatus :: Lens' RStudioServerProAppSettings (Maybe RStudioServerProAccessStatus)
- rStudioServerProAppSettings_userGroup :: Lens' RStudioServerProAppSettings (Maybe RStudioServerProUserGroup)
- rStudioServerProDomainSettings_defaultResourceSpec :: Lens' RStudioServerProDomainSettings (Maybe ResourceSpec)
- rStudioServerProDomainSettings_rStudioConnectUrl :: Lens' RStudioServerProDomainSettings (Maybe Text)
- rStudioServerProDomainSettings_rStudioPackageManagerUrl :: Lens' RStudioServerProDomainSettings (Maybe Text)
- rStudioServerProDomainSettings_domainExecutionRoleArn :: Lens' RStudioServerProDomainSettings Text
- rStudioServerProDomainSettingsForUpdate_defaultResourceSpec :: Lens' RStudioServerProDomainSettingsForUpdate (Maybe ResourceSpec)
- rStudioServerProDomainSettingsForUpdate_rStudioConnectUrl :: Lens' RStudioServerProDomainSettingsForUpdate (Maybe Text)
- rStudioServerProDomainSettingsForUpdate_rStudioPackageManagerUrl :: Lens' RStudioServerProDomainSettingsForUpdate (Maybe Text)
- rStudioServerProDomainSettingsForUpdate_domainExecutionRoleArn :: Lens' RStudioServerProDomainSettingsForUpdate Text
- realTimeInferenceConfig_instanceType :: Lens' RealTimeInferenceConfig InstanceType
- realTimeInferenceConfig_instanceCount :: Lens' RealTimeInferenceConfig Natural
- recommendationJobCompiledOutputConfig_s3OutputUri :: Lens' RecommendationJobCompiledOutputConfig (Maybe Text)
- recommendationJobContainerConfig_domain :: Lens' RecommendationJobContainerConfig (Maybe Text)
- recommendationJobContainerConfig_framework :: Lens' RecommendationJobContainerConfig (Maybe Text)
- recommendationJobContainerConfig_frameworkVersion :: Lens' RecommendationJobContainerConfig (Maybe Text)
- recommendationJobContainerConfig_nearestModelName :: Lens' RecommendationJobContainerConfig (Maybe Text)
- recommendationJobContainerConfig_payloadConfig :: Lens' RecommendationJobContainerConfig (Maybe RecommendationJobPayloadConfig)
- recommendationJobContainerConfig_supportedInstanceTypes :: Lens' RecommendationJobContainerConfig (Maybe [Text])
- recommendationJobContainerConfig_task :: Lens' RecommendationJobContainerConfig (Maybe Text)
- recommendationJobInferenceBenchmark_endpointConfiguration :: Lens' RecommendationJobInferenceBenchmark (Maybe EndpointOutputConfiguration)
- recommendationJobInferenceBenchmark_failureReason :: Lens' RecommendationJobInferenceBenchmark (Maybe Text)
- recommendationJobInferenceBenchmark_metrics :: Lens' RecommendationJobInferenceBenchmark (Maybe RecommendationMetrics)
- recommendationJobInferenceBenchmark_modelConfiguration :: Lens' RecommendationJobInferenceBenchmark ModelConfiguration
- recommendationJobInputConfig_containerConfig :: Lens' RecommendationJobInputConfig (Maybe RecommendationJobContainerConfig)
- recommendationJobInputConfig_endpointConfigurations :: Lens' RecommendationJobInputConfig (Maybe (NonEmpty EndpointInputConfiguration))
- recommendationJobInputConfig_endpoints :: Lens' RecommendationJobInputConfig (Maybe [EndpointInfo])
- recommendationJobInputConfig_jobDurationInSeconds :: Lens' RecommendationJobInputConfig (Maybe Natural)
- recommendationJobInputConfig_resourceLimit :: Lens' RecommendationJobInputConfig (Maybe RecommendationJobResourceLimit)
- recommendationJobInputConfig_trafficPattern :: Lens' RecommendationJobInputConfig (Maybe TrafficPattern)
- recommendationJobInputConfig_volumeKmsKeyId :: Lens' RecommendationJobInputConfig (Maybe Text)
- recommendationJobInputConfig_vpcConfig :: Lens' RecommendationJobInputConfig (Maybe RecommendationJobVpcConfig)
- recommendationJobInputConfig_modelPackageVersionArn :: Lens' RecommendationJobInputConfig Text
- recommendationJobOutputConfig_compiledOutputConfig :: Lens' RecommendationJobOutputConfig (Maybe RecommendationJobCompiledOutputConfig)
- recommendationJobOutputConfig_kmsKeyId :: Lens' RecommendationJobOutputConfig (Maybe Text)
- recommendationJobPayloadConfig_samplePayloadUrl :: Lens' RecommendationJobPayloadConfig (Maybe Text)
- recommendationJobPayloadConfig_supportedContentTypes :: Lens' RecommendationJobPayloadConfig (Maybe [Text])
- recommendationJobResourceLimit_maxNumberOfTests :: Lens' RecommendationJobResourceLimit (Maybe Natural)
- recommendationJobResourceLimit_maxParallelOfTests :: Lens' RecommendationJobResourceLimit (Maybe Natural)
- recommendationJobStoppingConditions_maxInvocations :: Lens' RecommendationJobStoppingConditions (Maybe Int)
- recommendationJobStoppingConditions_modelLatencyThresholds :: Lens' RecommendationJobStoppingConditions (Maybe (NonEmpty ModelLatencyThreshold))
- recommendationJobVpcConfig_securityGroupIds :: Lens' RecommendationJobVpcConfig (NonEmpty Text)
- recommendationJobVpcConfig_subnets :: Lens' RecommendationJobVpcConfig (NonEmpty Text)
- recommendationMetrics_costPerHour :: Lens' RecommendationMetrics Double
- recommendationMetrics_costPerInference :: Lens' RecommendationMetrics Double
- recommendationMetrics_maxInvocations :: Lens' RecommendationMetrics Int
- recommendationMetrics_modelLatency :: Lens' RecommendationMetrics Int
- redshiftDatasetDefinition_kmsKeyId :: Lens' RedshiftDatasetDefinition (Maybe Text)
- redshiftDatasetDefinition_outputCompression :: Lens' RedshiftDatasetDefinition (Maybe RedshiftResultCompressionType)
- redshiftDatasetDefinition_clusterId :: Lens' RedshiftDatasetDefinition Text
- redshiftDatasetDefinition_database :: Lens' RedshiftDatasetDefinition Text
- redshiftDatasetDefinition_dbUser :: Lens' RedshiftDatasetDefinition Text
- redshiftDatasetDefinition_queryString :: Lens' RedshiftDatasetDefinition Text
- redshiftDatasetDefinition_clusterRoleArn :: Lens' RedshiftDatasetDefinition Text
- redshiftDatasetDefinition_outputS3Uri :: Lens' RedshiftDatasetDefinition Text
- redshiftDatasetDefinition_outputFormat :: Lens' RedshiftDatasetDefinition RedshiftResultFormat
- registerModelStepMetadata_arn :: Lens' RegisterModelStepMetadata (Maybe Text)
- renderableTask_input :: Lens' RenderableTask Text
- renderingError_code :: Lens' RenderingError Text
- renderingError_message :: Lens' RenderingError Text
- repositoryAuthConfig_repositoryCredentialsProviderArn :: Lens' RepositoryAuthConfig Text
- resolvedAttributes_autoMLJobObjective :: Lens' ResolvedAttributes (Maybe AutoMLJobObjective)
- resolvedAttributes_completionCriteria :: Lens' ResolvedAttributes (Maybe AutoMLJobCompletionCriteria)
- resolvedAttributes_problemType :: Lens' ResolvedAttributes (Maybe ProblemType)
- resourceConfig_instanceCount :: Lens' ResourceConfig (Maybe Natural)
- resourceConfig_instanceGroups :: Lens' ResourceConfig (Maybe [InstanceGroup])
- resourceConfig_instanceType :: Lens' ResourceConfig (Maybe TrainingInstanceType)
- resourceConfig_keepAlivePeriodInSeconds :: Lens' ResourceConfig (Maybe Natural)
- resourceConfig_volumeKmsKeyId :: Lens' ResourceConfig (Maybe Text)
- resourceConfig_volumeSizeInGB :: Lens' ResourceConfig Natural
- resourceConfigForUpdate_keepAlivePeriodInSeconds :: Lens' ResourceConfigForUpdate Natural
- resourceLimits_maxNumberOfTrainingJobs :: Lens' ResourceLimits (Maybe Natural)
- resourceLimits_maxParallelTrainingJobs :: Lens' ResourceLimits Natural
- resourceSpec_instanceType :: Lens' ResourceSpec (Maybe AppInstanceType)
- resourceSpec_lifecycleConfigArn :: Lens' ResourceSpec (Maybe Text)
- resourceSpec_sageMakerImageArn :: Lens' ResourceSpec (Maybe Text)
- resourceSpec_sageMakerImageVersionArn :: Lens' ResourceSpec (Maybe Text)
- retentionPolicy_homeEfsFileSystem :: Lens' RetentionPolicy (Maybe RetentionType)
- retryStrategy_maximumRetryAttempts :: Lens' RetryStrategy Natural
- s3DataSource_attributeNames :: Lens' S3DataSource (Maybe [Text])
- s3DataSource_instanceGroupNames :: Lens' S3DataSource (Maybe [Text])
- s3DataSource_s3DataDistributionType :: Lens' S3DataSource (Maybe S3DataDistribution)
- s3DataSource_s3DataType :: Lens' S3DataSource S3DataType
- s3DataSource_s3Uri :: Lens' S3DataSource Text
- s3StorageConfig_kmsKeyId :: Lens' S3StorageConfig (Maybe Text)
- s3StorageConfig_resolvedOutputS3Uri :: Lens' S3StorageConfig (Maybe Text)
- s3StorageConfig_s3Uri :: Lens' S3StorageConfig Text
- scheduleConfig_scheduleExpression :: Lens' ScheduleConfig Text
- searchExpression_filters :: Lens' SearchExpression (Maybe (NonEmpty Filter))
- searchExpression_nestedFilters :: Lens' SearchExpression (Maybe (NonEmpty NestedFilters))
- searchExpression_operator :: Lens' SearchExpression (Maybe BooleanOperator)
- searchExpression_subExpressions :: Lens' SearchExpression (Maybe (NonEmpty SearchExpression))
- searchRecord_endpoint :: Lens' SearchRecord (Maybe Endpoint)
- searchRecord_experiment :: Lens' SearchRecord (Maybe Experiment)
- searchRecord_featureGroup :: Lens' SearchRecord (Maybe FeatureGroup)
- searchRecord_featureMetadata :: Lens' SearchRecord (Maybe FeatureMetadata)
- searchRecord_hyperParameterTuningJob :: Lens' SearchRecord (Maybe HyperParameterTuningJobSearchEntity)
- searchRecord_model :: Lens' SearchRecord (Maybe ModelDashboardModel)
- searchRecord_modelCard :: Lens' SearchRecord (Maybe ModelCard)
- searchRecord_modelPackage :: Lens' SearchRecord (Maybe ModelPackage)
- searchRecord_modelPackageGroup :: Lens' SearchRecord (Maybe ModelPackageGroup)
- searchRecord_pipeline :: Lens' SearchRecord (Maybe Pipeline)
- searchRecord_pipelineExecution :: Lens' SearchRecord (Maybe PipelineExecution)
- searchRecord_project :: Lens' SearchRecord (Maybe Project)
- searchRecord_trainingJob :: Lens' SearchRecord (Maybe TrainingJob)
- searchRecord_trial :: Lens' SearchRecord (Maybe Trial)
- searchRecord_trialComponent :: Lens' SearchRecord (Maybe TrialComponent)
- secondaryStatusTransition_endTime :: Lens' SecondaryStatusTransition (Maybe UTCTime)
- secondaryStatusTransition_statusMessage :: Lens' SecondaryStatusTransition (Maybe Text)
- secondaryStatusTransition_status :: Lens' SecondaryStatusTransition SecondaryStatus
- secondaryStatusTransition_startTime :: Lens' SecondaryStatusTransition UTCTime
- serviceCatalogProvisionedProductDetails_provisionedProductId :: Lens' ServiceCatalogProvisionedProductDetails (Maybe Text)
- serviceCatalogProvisionedProductDetails_provisionedProductStatusMessage :: Lens' ServiceCatalogProvisionedProductDetails (Maybe Text)
- serviceCatalogProvisioningDetails_pathId :: Lens' ServiceCatalogProvisioningDetails (Maybe Text)
- serviceCatalogProvisioningDetails_provisioningArtifactId :: Lens' ServiceCatalogProvisioningDetails (Maybe Text)
- serviceCatalogProvisioningDetails_provisioningParameters :: Lens' ServiceCatalogProvisioningDetails (Maybe [ProvisioningParameter])
- serviceCatalogProvisioningDetails_productId :: Lens' ServiceCatalogProvisioningDetails Text
- serviceCatalogProvisioningUpdateDetails_provisioningArtifactId :: Lens' ServiceCatalogProvisioningUpdateDetails (Maybe Text)
- serviceCatalogProvisioningUpdateDetails_provisioningParameters :: Lens' ServiceCatalogProvisioningUpdateDetails (Maybe [ProvisioningParameter])
- shadowModeConfig_sourceModelVariantName :: Lens' ShadowModeConfig Text
- shadowModeConfig_shadowModelVariants :: Lens' ShadowModeConfig (NonEmpty ShadowModelVariantConfig)
- shadowModelVariantConfig_shadowModelVariantName :: Lens' ShadowModelVariantConfig Text
- shadowModelVariantConfig_samplingPercentage :: Lens' ShadowModelVariantConfig Int
- sharingSettings_notebookOutputOption :: Lens' SharingSettings (Maybe NotebookOutputOption)
- sharingSettings_s3KmsKeyId :: Lens' SharingSettings (Maybe Text)
- sharingSettings_s3OutputPath :: Lens' SharingSettings (Maybe Text)
- shuffleConfig_seed :: Lens' ShuffleConfig Integer
- sourceAlgorithm_modelDataUrl :: Lens' SourceAlgorithm (Maybe Text)
- sourceAlgorithm_algorithmName :: Lens' SourceAlgorithm Text
- sourceAlgorithmSpecification_sourceAlgorithms :: Lens' SourceAlgorithmSpecification (NonEmpty SourceAlgorithm)
- sourceIpConfig_cidrs :: Lens' SourceIpConfig [Text]
- spaceDetails_creationTime :: Lens' SpaceDetails (Maybe UTCTime)
- spaceDetails_domainId :: Lens' SpaceDetails (Maybe Text)
- spaceDetails_lastModifiedTime :: Lens' SpaceDetails (Maybe UTCTime)
- spaceDetails_spaceName :: Lens' SpaceDetails (Maybe Text)
- spaceDetails_status :: Lens' SpaceDetails (Maybe SpaceStatus)
- spaceSettings_jupyterServerAppSettings :: Lens' SpaceSettings (Maybe JupyterServerAppSettings)
- spaceSettings_kernelGatewayAppSettings :: Lens' SpaceSettings (Maybe KernelGatewayAppSettings)
- stoppingCondition_maxRuntimeInSeconds :: Lens' StoppingCondition (Maybe Natural)
- stoppingCondition_maxWaitTimeInSeconds :: Lens' StoppingCondition (Maybe Natural)
- studioLifecycleConfigDetails_creationTime :: Lens' StudioLifecycleConfigDetails (Maybe UTCTime)
- studioLifecycleConfigDetails_lastModifiedTime :: Lens' StudioLifecycleConfigDetails (Maybe UTCTime)
- studioLifecycleConfigDetails_studioLifecycleConfigAppType :: Lens' StudioLifecycleConfigDetails (Maybe StudioLifecycleConfigAppType)
- studioLifecycleConfigDetails_studioLifecycleConfigArn :: Lens' StudioLifecycleConfigDetails (Maybe Text)
- studioLifecycleConfigDetails_studioLifecycleConfigName :: Lens' StudioLifecycleConfigDetails (Maybe Text)
- subscribedWorkteam_listingId :: Lens' SubscribedWorkteam (Maybe Text)
- subscribedWorkteam_marketplaceDescription :: Lens' SubscribedWorkteam (Maybe Text)
- subscribedWorkteam_marketplaceTitle :: Lens' SubscribedWorkteam (Maybe Text)
- subscribedWorkteam_sellerName :: Lens' SubscribedWorkteam (Maybe Text)
- subscribedWorkteam_workteamArn :: Lens' SubscribedWorkteam Text
- suggestionQuery_propertyNameQuery :: Lens' SuggestionQuery (Maybe PropertyNameQuery)
- tag_key :: Lens' Tag Text
- tag_value :: Lens' Tag Text
- targetPlatform_accelerator :: Lens' TargetPlatform (Maybe TargetPlatformAccelerator)
- targetPlatform_os :: Lens' TargetPlatform TargetPlatformOs
- targetPlatform_arch :: Lens' TargetPlatform TargetPlatformArch
- tensorBoardAppSettings_defaultResourceSpec :: Lens' TensorBoardAppSettings (Maybe ResourceSpec)
- tensorBoardOutputConfig_localPath :: Lens' TensorBoardOutputConfig (Maybe Text)
- tensorBoardOutputConfig_s3OutputPath :: Lens' TensorBoardOutputConfig Text
- timeSeriesForecastingSettings_amazonForecastRoleArn :: Lens' TimeSeriesForecastingSettings (Maybe Text)
- timeSeriesForecastingSettings_status :: Lens' TimeSeriesForecastingSettings (Maybe FeatureStatus)
- trafficPattern_phases :: Lens' TrafficPattern (Maybe (NonEmpty Phase))
- trafficPattern_trafficType :: Lens' TrafficPattern (Maybe TrafficType)
- trafficRoutingConfig_canarySize :: Lens' TrafficRoutingConfig (Maybe CapacitySize)
- trafficRoutingConfig_linearStepSize :: Lens' TrafficRoutingConfig (Maybe CapacitySize)
- trafficRoutingConfig_type :: Lens' TrafficRoutingConfig TrafficRoutingConfigType
- trafficRoutingConfig_waitIntervalInSeconds :: Lens' TrafficRoutingConfig Natural
- trainingJob_algorithmSpecification :: Lens' TrainingJob (Maybe AlgorithmSpecification)
- trainingJob_autoMLJobArn :: Lens' TrainingJob (Maybe Text)
- trainingJob_billableTimeInSeconds :: Lens' TrainingJob (Maybe Natural)
- trainingJob_checkpointConfig :: Lens' TrainingJob (Maybe CheckpointConfig)
- trainingJob_creationTime :: Lens' TrainingJob (Maybe UTCTime)
- trainingJob_debugHookConfig :: Lens' TrainingJob (Maybe DebugHookConfig)
- trainingJob_debugRuleConfigurations :: Lens' TrainingJob (Maybe [DebugRuleConfiguration])
- trainingJob_debugRuleEvaluationStatuses :: Lens' TrainingJob (Maybe [DebugRuleEvaluationStatus])
- trainingJob_enableInterContainerTrafficEncryption :: Lens' TrainingJob (Maybe Bool)
- trainingJob_enableManagedSpotTraining :: Lens' TrainingJob (Maybe Bool)
- trainingJob_enableNetworkIsolation :: Lens' TrainingJob (Maybe Bool)
- trainingJob_environment :: Lens' TrainingJob (Maybe (HashMap Text Text))
- trainingJob_experimentConfig :: Lens' TrainingJob (Maybe ExperimentConfig)
- trainingJob_failureReason :: Lens' TrainingJob (Maybe Text)
- trainingJob_finalMetricDataList :: Lens' TrainingJob (Maybe [MetricData])
- trainingJob_hyperParameters :: Lens' TrainingJob (Maybe (HashMap Text Text))
- trainingJob_inputDataConfig :: Lens' TrainingJob (Maybe (NonEmpty Channel))
- trainingJob_labelingJobArn :: Lens' TrainingJob (Maybe Text)
- trainingJob_lastModifiedTime :: Lens' TrainingJob (Maybe UTCTime)
- trainingJob_modelArtifacts :: Lens' TrainingJob (Maybe ModelArtifacts)
- trainingJob_outputDataConfig :: Lens' TrainingJob (Maybe OutputDataConfig)
- trainingJob_resourceConfig :: Lens' TrainingJob (Maybe ResourceConfig)
- trainingJob_retryStrategy :: Lens' TrainingJob (Maybe RetryStrategy)
- trainingJob_roleArn :: Lens' TrainingJob (Maybe Text)
- trainingJob_secondaryStatus :: Lens' TrainingJob (Maybe SecondaryStatus)
- trainingJob_secondaryStatusTransitions :: Lens' TrainingJob (Maybe [SecondaryStatusTransition])
- trainingJob_stoppingCondition :: Lens' TrainingJob (Maybe StoppingCondition)
- trainingJob_tags :: Lens' TrainingJob (Maybe [Tag])
- trainingJob_tensorBoardOutputConfig :: Lens' TrainingJob (Maybe TensorBoardOutputConfig)
- trainingJob_trainingEndTime :: Lens' TrainingJob (Maybe UTCTime)
- trainingJob_trainingJobArn :: Lens' TrainingJob (Maybe Text)
- trainingJob_trainingJobName :: Lens' TrainingJob (Maybe Text)
- trainingJob_trainingJobStatus :: Lens' TrainingJob (Maybe TrainingJobStatus)
- trainingJob_trainingStartTime :: Lens' TrainingJob (Maybe UTCTime)
- trainingJob_trainingTimeInSeconds :: Lens' TrainingJob (Maybe Natural)
- trainingJob_tuningJobArn :: Lens' TrainingJob (Maybe Text)
- trainingJob_vpcConfig :: Lens' TrainingJob (Maybe VpcConfig)
- trainingJobDefinition_hyperParameters :: Lens' TrainingJobDefinition (Maybe (HashMap Text Text))
- trainingJobDefinition_trainingInputMode :: Lens' TrainingJobDefinition TrainingInputMode
- trainingJobDefinition_inputDataConfig :: Lens' TrainingJobDefinition (NonEmpty Channel)
- trainingJobDefinition_outputDataConfig :: Lens' TrainingJobDefinition OutputDataConfig
- trainingJobDefinition_resourceConfig :: Lens' TrainingJobDefinition ResourceConfig
- trainingJobDefinition_stoppingCondition :: Lens' TrainingJobDefinition StoppingCondition
- trainingJobStatusCounters_completed :: Lens' TrainingJobStatusCounters (Maybe Natural)
- trainingJobStatusCounters_inProgress :: Lens' TrainingJobStatusCounters (Maybe Natural)
- trainingJobStatusCounters_nonRetryableError :: Lens' TrainingJobStatusCounters (Maybe Natural)
- trainingJobStatusCounters_retryableError :: Lens' TrainingJobStatusCounters (Maybe Natural)
- trainingJobStatusCounters_stopped :: Lens' TrainingJobStatusCounters (Maybe Natural)
- trainingJobStepMetadata_arn :: Lens' TrainingJobStepMetadata (Maybe Text)
- trainingJobSummary_lastModifiedTime :: Lens' TrainingJobSummary (Maybe UTCTime)
- trainingJobSummary_trainingEndTime :: Lens' TrainingJobSummary (Maybe UTCTime)
- trainingJobSummary_warmPoolStatus :: Lens' TrainingJobSummary (Maybe WarmPoolStatus)
- trainingJobSummary_trainingJobName :: Lens' TrainingJobSummary Text
- trainingJobSummary_trainingJobArn :: Lens' TrainingJobSummary Text
- trainingJobSummary_creationTime :: Lens' TrainingJobSummary UTCTime
- trainingJobSummary_trainingJobStatus :: Lens' TrainingJobSummary TrainingJobStatus
- trainingSpecification_metricDefinitions :: Lens' TrainingSpecification (Maybe [MetricDefinition])
- trainingSpecification_supportedHyperParameters :: Lens' TrainingSpecification (Maybe [HyperParameterSpecification])
- trainingSpecification_supportedTuningJobObjectiveMetrics :: Lens' TrainingSpecification (Maybe [HyperParameterTuningJobObjective])
- trainingSpecification_supportsDistributedTraining :: Lens' TrainingSpecification (Maybe Bool)
- trainingSpecification_trainingImageDigest :: Lens' TrainingSpecification (Maybe Text)
- trainingSpecification_trainingImage :: Lens' TrainingSpecification Text
- trainingSpecification_supportedTrainingInstanceTypes :: Lens' TrainingSpecification [TrainingInstanceType]
- trainingSpecification_trainingChannels :: Lens' TrainingSpecification (NonEmpty ChannelSpecification)
- transformDataSource_s3DataSource :: Lens' TransformDataSource TransformS3DataSource
- transformInput_compressionType :: Lens' TransformInput (Maybe CompressionType)
- transformInput_contentType :: Lens' TransformInput (Maybe Text)
- transformInput_splitType :: Lens' TransformInput (Maybe SplitType)
- transformInput_dataSource :: Lens' TransformInput TransformDataSource
- transformJob_autoMLJobArn :: Lens' TransformJob (Maybe Text)
- transformJob_batchStrategy :: Lens' TransformJob (Maybe BatchStrategy)
- transformJob_creationTime :: Lens' TransformJob (Maybe UTCTime)
- transformJob_dataProcessing :: Lens' TransformJob (Maybe DataProcessing)
- transformJob_environment :: Lens' TransformJob (Maybe (HashMap Text Text))
- transformJob_experimentConfig :: Lens' TransformJob (Maybe ExperimentConfig)
- transformJob_failureReason :: Lens' TransformJob (Maybe Text)
- transformJob_labelingJobArn :: Lens' TransformJob (Maybe Text)
- transformJob_maxConcurrentTransforms :: Lens' TransformJob (Maybe Natural)
- transformJob_maxPayloadInMB :: Lens' TransformJob (Maybe Natural)
- transformJob_modelClientConfig :: Lens' TransformJob (Maybe ModelClientConfig)
- transformJob_modelName :: Lens' TransformJob (Maybe Text)
- transformJob_tags :: Lens' TransformJob (Maybe [Tag])
- transformJob_transformEndTime :: Lens' TransformJob (Maybe UTCTime)
- transformJob_transformInput :: Lens' TransformJob (Maybe TransformInput)
- transformJob_transformJobArn :: Lens' TransformJob (Maybe Text)
- transformJob_transformJobName :: Lens' TransformJob (Maybe Text)
- transformJob_transformJobStatus :: Lens' TransformJob (Maybe TransformJobStatus)
- transformJob_transformOutput :: Lens' TransformJob (Maybe TransformOutput)
- transformJob_transformResources :: Lens' TransformJob (Maybe TransformResources)
- transformJob_transformStartTime :: Lens' TransformJob (Maybe UTCTime)
- transformJobDefinition_batchStrategy :: Lens' TransformJobDefinition (Maybe BatchStrategy)
- transformJobDefinition_environment :: Lens' TransformJobDefinition (Maybe (HashMap Text Text))
- transformJobDefinition_maxConcurrentTransforms :: Lens' TransformJobDefinition (Maybe Natural)
- transformJobDefinition_maxPayloadInMB :: Lens' TransformJobDefinition (Maybe Natural)
- transformJobDefinition_transformInput :: Lens' TransformJobDefinition TransformInput
- transformJobDefinition_transformOutput :: Lens' TransformJobDefinition TransformOutput
- transformJobDefinition_transformResources :: Lens' TransformJobDefinition TransformResources
- transformJobStepMetadata_arn :: Lens' TransformJobStepMetadata (Maybe Text)
- transformJobSummary_failureReason :: Lens' TransformJobSummary (Maybe Text)
- transformJobSummary_lastModifiedTime :: Lens' TransformJobSummary (Maybe UTCTime)
- transformJobSummary_transformEndTime :: Lens' TransformJobSummary (Maybe UTCTime)
- transformJobSummary_transformJobName :: Lens' TransformJobSummary Text
- transformJobSummary_transformJobArn :: Lens' TransformJobSummary Text
- transformJobSummary_creationTime :: Lens' TransformJobSummary UTCTime
- transformJobSummary_transformJobStatus :: Lens' TransformJobSummary TransformJobStatus
- transformOutput_accept :: Lens' TransformOutput (Maybe Text)
- transformOutput_assembleWith :: Lens' TransformOutput (Maybe AssemblyType)
- transformOutput_kmsKeyId :: Lens' TransformOutput (Maybe Text)
- transformOutput_s3OutputPath :: Lens' TransformOutput Text
- transformResources_volumeKmsKeyId :: Lens' TransformResources (Maybe Text)
- transformResources_instanceType :: Lens' TransformResources TransformInstanceType
- transformResources_instanceCount :: Lens' TransformResources Natural
- transformS3DataSource_s3DataType :: Lens' TransformS3DataSource S3DataType
- transformS3DataSource_s3Uri :: Lens' TransformS3DataSource Text
- trial_createdBy :: Lens' Trial (Maybe UserContext)
- trial_creationTime :: Lens' Trial (Maybe UTCTime)
- trial_displayName :: Lens' Trial (Maybe Text)
- trial_experimentName :: Lens' Trial (Maybe Text)
- trial_lastModifiedBy :: Lens' Trial (Maybe UserContext)
- trial_lastModifiedTime :: Lens' Trial (Maybe UTCTime)
- trial_metadataProperties :: Lens' Trial (Maybe MetadataProperties)
- trial_source :: Lens' Trial (Maybe TrialSource)
- trial_tags :: Lens' Trial (Maybe [Tag])
- trial_trialArn :: Lens' Trial (Maybe Text)
- trial_trialComponentSummaries :: Lens' Trial (Maybe [TrialComponentSimpleSummary])
- trial_trialName :: Lens' Trial (Maybe Text)
- trialComponent_createdBy :: Lens' TrialComponent (Maybe UserContext)
- trialComponent_creationTime :: Lens' TrialComponent (Maybe UTCTime)
- trialComponent_displayName :: Lens' TrialComponent (Maybe Text)
- trialComponent_endTime :: Lens' TrialComponent (Maybe UTCTime)
- trialComponent_inputArtifacts :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentArtifact))
- trialComponent_lastModifiedBy :: Lens' TrialComponent (Maybe UserContext)
- trialComponent_lastModifiedTime :: Lens' TrialComponent (Maybe UTCTime)
- trialComponent_lineageGroupArn :: Lens' TrialComponent (Maybe Text)
- trialComponent_metadataProperties :: Lens' TrialComponent (Maybe MetadataProperties)
- trialComponent_metrics :: Lens' TrialComponent (Maybe [TrialComponentMetricSummary])
- trialComponent_outputArtifacts :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentArtifact))
- trialComponent_parameters :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentParameterValue))
- trialComponent_parents :: Lens' TrialComponent (Maybe [Parent])
- trialComponent_runName :: Lens' TrialComponent (Maybe Text)
- trialComponent_source :: Lens' TrialComponent (Maybe TrialComponentSource)
- trialComponent_sourceDetail :: Lens' TrialComponent (Maybe TrialComponentSourceDetail)
- trialComponent_startTime :: Lens' TrialComponent (Maybe UTCTime)
- trialComponent_status :: Lens' TrialComponent (Maybe TrialComponentStatus)
- trialComponent_tags :: Lens' TrialComponent (Maybe [Tag])
- trialComponent_trialComponentArn :: Lens' TrialComponent (Maybe Text)
- trialComponent_trialComponentName :: Lens' TrialComponent (Maybe Text)
- trialComponentArtifact_mediaType :: Lens' TrialComponentArtifact (Maybe Text)
- trialComponentArtifact_value :: Lens' TrialComponentArtifact Text
- trialComponentMetricSummary_avg :: Lens' TrialComponentMetricSummary (Maybe Double)
- trialComponentMetricSummary_count :: Lens' TrialComponentMetricSummary (Maybe Int)
- trialComponentMetricSummary_last :: Lens' TrialComponentMetricSummary (Maybe Double)
- trialComponentMetricSummary_max :: Lens' TrialComponentMetricSummary (Maybe Double)
- trialComponentMetricSummary_metricName :: Lens' TrialComponentMetricSummary (Maybe Text)
- trialComponentMetricSummary_min :: Lens' TrialComponentMetricSummary (Maybe Double)
- trialComponentMetricSummary_sourceArn :: Lens' TrialComponentMetricSummary (Maybe Text)
- trialComponentMetricSummary_stdDev :: Lens' TrialComponentMetricSummary (Maybe Double)
- trialComponentMetricSummary_timeStamp :: Lens' TrialComponentMetricSummary (Maybe UTCTime)
- trialComponentParameterValue_numberValue :: Lens' TrialComponentParameterValue (Maybe Double)
- trialComponentParameterValue_stringValue :: Lens' TrialComponentParameterValue (Maybe Text)
- trialComponentSimpleSummary_createdBy :: Lens' TrialComponentSimpleSummary (Maybe UserContext)
- trialComponentSimpleSummary_creationTime :: Lens' TrialComponentSimpleSummary (Maybe UTCTime)
- trialComponentSimpleSummary_trialComponentArn :: Lens' TrialComponentSimpleSummary (Maybe Text)
- trialComponentSimpleSummary_trialComponentName :: Lens' TrialComponentSimpleSummary (Maybe Text)
- trialComponentSimpleSummary_trialComponentSource :: Lens' TrialComponentSimpleSummary (Maybe TrialComponentSource)
- trialComponentSource_sourceType :: Lens' TrialComponentSource (Maybe Text)
- trialComponentSource_sourceArn :: Lens' TrialComponentSource Text
- trialComponentSourceDetail_processingJob :: Lens' TrialComponentSourceDetail (Maybe ProcessingJob)
- trialComponentSourceDetail_sourceArn :: Lens' TrialComponentSourceDetail (Maybe Text)
- trialComponentSourceDetail_trainingJob :: Lens' TrialComponentSourceDetail (Maybe TrainingJob)
- trialComponentSourceDetail_transformJob :: Lens' TrialComponentSourceDetail (Maybe TransformJob)
- trialComponentStatus_message :: Lens' TrialComponentStatus (Maybe Text)
- trialComponentStatus_primaryStatus :: Lens' TrialComponentStatus (Maybe TrialComponentPrimaryStatus)
- trialComponentSummary_createdBy :: Lens' TrialComponentSummary (Maybe UserContext)
- trialComponentSummary_creationTime :: Lens' TrialComponentSummary (Maybe UTCTime)
- trialComponentSummary_displayName :: Lens' TrialComponentSummary (Maybe Text)
- trialComponentSummary_endTime :: Lens' TrialComponentSummary (Maybe UTCTime)
- trialComponentSummary_lastModifiedBy :: Lens' TrialComponentSummary (Maybe UserContext)
- trialComponentSummary_lastModifiedTime :: Lens' TrialComponentSummary (Maybe UTCTime)
- trialComponentSummary_startTime :: Lens' TrialComponentSummary (Maybe UTCTime)
- trialComponentSummary_status :: Lens' TrialComponentSummary (Maybe TrialComponentStatus)
- trialComponentSummary_trialComponentArn :: Lens' TrialComponentSummary (Maybe Text)
- trialComponentSummary_trialComponentName :: Lens' TrialComponentSummary (Maybe Text)
- trialComponentSummary_trialComponentSource :: Lens' TrialComponentSummary (Maybe TrialComponentSource)
- trialSource_sourceType :: Lens' TrialSource (Maybe Text)
- trialSource_sourceArn :: Lens' TrialSource Text
- trialSummary_creationTime :: Lens' TrialSummary (Maybe UTCTime)
- trialSummary_displayName :: Lens' TrialSummary (Maybe Text)
- trialSummary_lastModifiedTime :: Lens' TrialSummary (Maybe UTCTime)
- trialSummary_trialArn :: Lens' TrialSummary (Maybe Text)
- trialSummary_trialName :: Lens' TrialSummary (Maybe Text)
- trialSummary_trialSource :: Lens' TrialSummary (Maybe TrialSource)
- tuningJobCompletionCriteria_targetObjectiveMetricValue :: Lens' TuningJobCompletionCriteria Double
- tuningJobStepMetaData_arn :: Lens' TuningJobStepMetaData (Maybe Text)
- usd_cents :: Lens' USD (Maybe Natural)
- usd_dollars :: Lens' USD (Maybe Natural)
- usd_tenthFractionsOfACent :: Lens' USD (Maybe Natural)
- uiConfig_humanTaskUiArn :: Lens' UiConfig (Maybe Text)
- uiConfig_uiTemplateS3Uri :: Lens' UiConfig (Maybe Text)
- uiTemplate_content :: Lens' UiTemplate Text
- uiTemplateInfo_contentSha256 :: Lens' UiTemplateInfo (Maybe Text)
- uiTemplateInfo_url :: Lens' UiTemplateInfo (Maybe Text)
- userContext_domainId :: Lens' UserContext (Maybe Text)
- userContext_userProfileArn :: Lens' UserContext (Maybe Text)
- userContext_userProfileName :: Lens' UserContext (Maybe Text)
- userProfileDetails_creationTime :: Lens' UserProfileDetails (Maybe UTCTime)
- userProfileDetails_domainId :: Lens' UserProfileDetails (Maybe Text)
- userProfileDetails_lastModifiedTime :: Lens' UserProfileDetails (Maybe UTCTime)
- userProfileDetails_status :: Lens' UserProfileDetails (Maybe UserProfileStatus)
- userProfileDetails_userProfileName :: Lens' UserProfileDetails (Maybe Text)
- userSettings_canvasAppSettings :: Lens' UserSettings (Maybe CanvasAppSettings)
- userSettings_executionRole :: Lens' UserSettings (Maybe Text)
- userSettings_jupyterServerAppSettings :: Lens' UserSettings (Maybe JupyterServerAppSettings)
- userSettings_kernelGatewayAppSettings :: Lens' UserSettings (Maybe KernelGatewayAppSettings)
- userSettings_rSessionAppSettings :: Lens' UserSettings (Maybe RSessionAppSettings)
- userSettings_rStudioServerProAppSettings :: Lens' UserSettings (Maybe RStudioServerProAppSettings)
- userSettings_securityGroups :: Lens' UserSettings (Maybe [Text])
- userSettings_sharingSettings :: Lens' UserSettings (Maybe SharingSettings)
- userSettings_tensorBoardAppSettings :: Lens' UserSettings (Maybe TensorBoardAppSettings)
- variantProperty_variantPropertyType :: Lens' VariantProperty VariantPropertyType
- vertex_arn :: Lens' Vertex (Maybe Text)
- vertex_lineageType :: Lens' Vertex (Maybe LineageType)
- vertex_type :: Lens' Vertex (Maybe Text)
- vpcConfig_securityGroupIds :: Lens' VpcConfig (NonEmpty Text)
- vpcConfig_subnets :: Lens' VpcConfig (NonEmpty Text)
- warmPoolStatus_resourceRetainedBillableTimeInSeconds :: Lens' WarmPoolStatus (Maybe Natural)
- warmPoolStatus_reusedByJob :: Lens' WarmPoolStatus (Maybe Text)
- warmPoolStatus_status :: Lens' WarmPoolStatus WarmPoolResourceStatus
- workforce_cognitoConfig :: Lens' Workforce (Maybe CognitoConfig)
- workforce_createDate :: Lens' Workforce (Maybe UTCTime)
- workforce_failureReason :: Lens' Workforce (Maybe Text)
- workforce_lastUpdatedDate :: Lens' Workforce (Maybe UTCTime)
- workforce_oidcConfig :: Lens' Workforce (Maybe OidcConfigForResponse)
- workforce_sourceIpConfig :: Lens' Workforce (Maybe SourceIpConfig)
- workforce_status :: Lens' Workforce (Maybe WorkforceStatus)
- workforce_subDomain :: Lens' Workforce (Maybe Text)
- workforce_workforceVpcConfig :: Lens' Workforce (Maybe WorkforceVpcConfigResponse)
- workforce_workforceName :: Lens' Workforce Text
- workforce_workforceArn :: Lens' Workforce Text
- workforceVpcConfigRequest_securityGroupIds :: Lens' WorkforceVpcConfigRequest (Maybe (NonEmpty Text))
- workforceVpcConfigRequest_subnets :: Lens' WorkforceVpcConfigRequest (Maybe (NonEmpty Text))
- workforceVpcConfigRequest_vpcId :: Lens' WorkforceVpcConfigRequest (Maybe Text)
- workforceVpcConfigResponse_vpcEndpointId :: Lens' WorkforceVpcConfigResponse (Maybe Text)
- workforceVpcConfigResponse_vpcId :: Lens' WorkforceVpcConfigResponse Text
- workforceVpcConfigResponse_securityGroupIds :: Lens' WorkforceVpcConfigResponse (NonEmpty Text)
- workforceVpcConfigResponse_subnets :: Lens' WorkforceVpcConfigResponse (NonEmpty Text)
- workteam_createDate :: Lens' Workteam (Maybe UTCTime)
- workteam_lastUpdatedDate :: Lens' Workteam (Maybe UTCTime)
- workteam_notificationConfiguration :: Lens' Workteam (Maybe NotificationConfiguration)
- workteam_productListingIds :: Lens' Workteam (Maybe [Text])
- workteam_subDomain :: Lens' Workteam (Maybe Text)
- workteam_workforceArn :: Lens' Workteam (Maybe Text)
- workteam_workteamName :: Lens' Workteam Text
- workteam_memberDefinitions :: Lens' Workteam (NonEmpty MemberDefinition)
- workteam_workteamArn :: Lens' Workteam Text
- workteam_description :: Lens' Workteam Text
Operations
AddAssociation
addAssociation_associationType :: Lens' AddAssociation (Maybe AssociationEdgeType) Source #
The type of association. The following are suggested uses for each type. Amazon SageMaker places no restrictions on their use.
- ContributedTo - The source contributed to the destination or had a part in enabling the destination. For example, the training data contributed to the training job.
- AssociatedWith - The source is connected to the destination. For example, an approval workflow is associated with a model deployment.
- DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel input for a processing job is derived from the original inputs.
- Produced - The source generated the destination. For example, a training job produced a model artifact.
addAssociation_sourceArn :: Lens' AddAssociation Text Source #
The ARN of the source.
addAssociation_destinationArn :: Lens' AddAssociation Text Source #
The Amazon Resource Name (ARN) of the destination.
addAssociationResponse_destinationArn :: Lens' AddAssociationResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the destination.
addAssociationResponse_sourceArn :: Lens' AddAssociationResponse (Maybe Text) Source #
The ARN of the source.
addAssociationResponse_httpStatus :: Lens' AddAssociationResponse Int Source #
The response's http status code.
AddTags
addTags_resourceArn :: Lens' AddTags Text Source #
The Amazon Resource Name (ARN) of the resource that you want to tag.
addTags_tags :: Lens' AddTags [Tag] Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
addTagsResponse_tags :: Lens' AddTagsResponse (Maybe [Tag]) Source #
A list of tags associated with the SageMaker resource.
addTagsResponse_httpStatus :: Lens' AddTagsResponse Int Source #
The response's http status code.
AssociateTrialComponent
associateTrialComponent_trialComponentName :: Lens' AssociateTrialComponent Text Source #
The name of the component to associated with the trial.
associateTrialComponent_trialName :: Lens' AssociateTrialComponent Text Source #
The name of the trial to associate with.
associateTrialComponentResponse_trialArn :: Lens' AssociateTrialComponentResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial.
associateTrialComponentResponse_trialComponentArn :: Lens' AssociateTrialComponentResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial component.
associateTrialComponentResponse_httpStatus :: Lens' AssociateTrialComponentResponse Int Source #
The response's http status code.
BatchDescribeModelPackage
batchDescribeModelPackage_modelPackageArnList :: Lens' BatchDescribeModelPackage (NonEmpty Text) Source #
The list of Amazon Resource Name (ARN) of the model package groups.
batchDescribeModelPackageResponse_batchDescribeModelPackageErrorMap :: Lens' BatchDescribeModelPackageResponse (Maybe (HashMap Text BatchDescribeModelPackageError)) Source #
A map of the resource and BatchDescribeModelPackageError objects reporting the error associated with describing the model package.
batchDescribeModelPackageResponse_modelPackageSummaries :: Lens' BatchDescribeModelPackageResponse (Maybe (HashMap Text BatchDescribeModelPackageSummary)) Source #
The summaries for the model package versions
batchDescribeModelPackageResponse_httpStatus :: Lens' BatchDescribeModelPackageResponse Int Source #
The response's http status code.
CreateAction
createAction_description :: Lens' CreateAction (Maybe Text) Source #
The description of the action.
createAction_metadataProperties :: Lens' CreateAction (Maybe MetadataProperties) Source #
Undocumented member.
createAction_properties :: Lens' CreateAction (Maybe (HashMap Text Text)) Source #
A list of properties to add to the action.
createAction_status :: Lens' CreateAction (Maybe ActionStatus) Source #
The status of the action.
createAction_tags :: Lens' CreateAction (Maybe [Tag]) Source #
A list of tags to apply to the action.
createAction_actionName :: Lens' CreateAction Text Source #
The name of the action. Must be unique to your account in an Amazon Web Services Region.
createAction_source :: Lens' CreateAction ActionSource Source #
The source type, ID, and URI.
createAction_actionType :: Lens' CreateAction Text Source #
The action type.
createActionResponse_actionArn :: Lens' CreateActionResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the action.
createActionResponse_httpStatus :: Lens' CreateActionResponse Int Source #
The response's http status code.
CreateAlgorithm
createAlgorithm_algorithmDescription :: Lens' CreateAlgorithm (Maybe Text) Source #
A description of the algorithm.
createAlgorithm_certifyForMarketplace :: Lens' CreateAlgorithm (Maybe Bool) Source #
Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
createAlgorithm_inferenceSpecification :: Lens' CreateAlgorithm (Maybe InferenceSpecification) Source #
Specifies details about inference jobs that the algorithm runs, including the following:
- The Amazon ECR paths of containers that contain the inference code and model artifacts.
- The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
- The input and output content formats that the algorithm supports for inference.
createAlgorithm_tags :: Lens' CreateAlgorithm (Maybe [Tag]) Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
createAlgorithm_validationSpecification :: Lens' CreateAlgorithm (Maybe AlgorithmValidationSpecification) Source #
Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm's inference code.
createAlgorithm_algorithmName :: Lens' CreateAlgorithm Text Source #
The name of the algorithm.
createAlgorithm_trainingSpecification :: Lens' CreateAlgorithm TrainingSpecification Source #
Specifies details about training jobs run by this algorithm, including the following:
- The Amazon ECR path of the container and the version digest of the algorithm.
- The hyperparameters that the algorithm supports.
- The instance types that the algorithm supports for training.
- Whether the algorithm supports distributed training.
- The metrics that the algorithm emits to Amazon CloudWatch.
- Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
- The input channels that the algorithm supports for training data.
For example, an algorithm might support
train
,validation
, andtest
channels.
createAlgorithmResponse_httpStatus :: Lens' CreateAlgorithmResponse Int Source #
The response's http status code.
createAlgorithmResponse_algorithmArn :: Lens' CreateAlgorithmResponse Text Source #
The Amazon Resource Name (ARN) of the new algorithm.
CreateApp
createApp_resourceSpec :: Lens' CreateApp (Maybe ResourceSpec) Source #
The instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.
The value of InstanceType
passed as part of the ResourceSpec
in the
CreateApp
call overrides the value passed as part of the
ResourceSpec
configured for the user profile or the domain. If
InstanceType
is not specified in any of those three ResourceSpec
values for a KernelGateway
app, the CreateApp
call fails with a
request validation error.
createApp_spaceName :: Lens' CreateApp (Maybe Text) Source #
The name of the space. If this value is not set, then UserProfileName
must be set.
createApp_tags :: Lens' CreateApp (Maybe [Tag]) Source #
Each tag consists of a key and an optional value. Tag keys must be unique per resource.
createApp_userProfileName :: Lens' CreateApp (Maybe Text) Source #
The user profile name. If this value is not set, then SpaceName
must
be set.
createAppResponse_appArn :: Lens' CreateAppResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the app.
createAppResponse_httpStatus :: Lens' CreateAppResponse Int Source #
The response's http status code.
CreateAppImageConfig
createAppImageConfig_kernelGatewayImageConfig :: Lens' CreateAppImageConfig (Maybe KernelGatewayImageConfig) Source #
The KernelGatewayImageConfig. You can only specify one image kernel in the AppImageConfig API. This kernel will be shown to users before the image starts. Once the image runs, all kernels are visible in JupyterLab.
createAppImageConfig_tags :: Lens' CreateAppImageConfig (Maybe [Tag]) Source #
A list of tags to apply to the AppImageConfig.
createAppImageConfig_appImageConfigName :: Lens' CreateAppImageConfig Text Source #
The name of the AppImageConfig. Must be unique to your account.
createAppImageConfigResponse_appImageConfigArn :: Lens' CreateAppImageConfigResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the AppImageConfig.
createAppImageConfigResponse_httpStatus :: Lens' CreateAppImageConfigResponse Int Source #
The response's http status code.
CreateArtifact
createArtifact_artifactName :: Lens' CreateArtifact (Maybe Text) Source #
The name of the artifact. Must be unique to your account in an Amazon Web Services Region.
createArtifact_metadataProperties :: Lens' CreateArtifact (Maybe MetadataProperties) Source #
Undocumented member.
createArtifact_properties :: Lens' CreateArtifact (Maybe (HashMap Text Text)) Source #
A list of properties to add to the artifact.
createArtifact_tags :: Lens' CreateArtifact (Maybe [Tag]) Source #
A list of tags to apply to the artifact.
createArtifact_source :: Lens' CreateArtifact ArtifactSource Source #
The ID, ID type, and URI of the source.
createArtifact_artifactType :: Lens' CreateArtifact Text Source #
The artifact type.
createArtifactResponse_artifactArn :: Lens' CreateArtifactResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the artifact.
createArtifactResponse_httpStatus :: Lens' CreateArtifactResponse Int Source #
The response's http status code.
CreateAutoMLJob
createAutoMLJob_autoMLJobConfig :: Lens' CreateAutoMLJob (Maybe AutoMLJobConfig) Source #
A collection of settings used to configure an AutoML job.
createAutoMLJob_autoMLJobObjective :: Lens' CreateAutoMLJob (Maybe AutoMLJobObjective) Source #
Defines the objective metric used to measure the predictive quality of an AutoML job. You provide an AutoMLJobObjective$MetricName and Autopilot infers whether to minimize or maximize it.
createAutoMLJob_generateCandidateDefinitionsOnly :: Lens' CreateAutoMLJob (Maybe Bool) Source #
Generates possible candidates without training the models. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
createAutoMLJob_modelDeployConfig :: Lens' CreateAutoMLJob (Maybe ModelDeployConfig) Source #
Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
createAutoMLJob_problemType :: Lens' CreateAutoMLJob (Maybe ProblemType) Source #
Defines the type of supervised learning available for the candidates. For more information, see Amazon SageMaker Autopilot problem types and algorithm support.
createAutoMLJob_tags :: Lens' CreateAutoMLJob (Maybe [Tag]) Source #
Each tag consists of a key and an optional value. Tag keys must be unique per resource.
createAutoMLJob_autoMLJobName :: Lens' CreateAutoMLJob Text Source #
Identifies an Autopilot job. The name must be unique to your account and is case-insensitive.
createAutoMLJob_inputDataConfig :: Lens' CreateAutoMLJob (NonEmpty AutoMLChannel) Source #
An array of channel objects that describes the input data and its
location. Each channel is a named input source. Similar to
InputDataConfig
supported by . Format(s) supported: CSV, Parquet. A
minimum of 500 rows is required for the training dataset. There is not a
minimum number of rows required for the validation dataset.
createAutoMLJob_outputDataConfig :: Lens' CreateAutoMLJob AutoMLOutputDataConfig Source #
Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job. Format(s) supported: CSV.
createAutoMLJob_roleArn :: Lens' CreateAutoMLJob Text Source #
The ARN of the role that is used to access the data.
createAutoMLJobResponse_httpStatus :: Lens' CreateAutoMLJobResponse Int Source #
The response's http status code.
createAutoMLJobResponse_autoMLJobArn :: Lens' CreateAutoMLJobResponse Text Source #
The unique ARN assigned to the AutoML job when it is created.
CreateCodeRepository
createCodeRepository_tags :: Lens' CreateCodeRepository (Maybe [Tag]) Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
createCodeRepository_codeRepositoryName :: Lens' CreateCodeRepository Text Source #
The name of the Git repository. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
createCodeRepository_gitConfig :: Lens' CreateCodeRepository GitConfig Source #
Specifies details about the repository, including the URL where the repository is located, the default branch, and credentials to use to access the repository.
createCodeRepositoryResponse_httpStatus :: Lens' CreateCodeRepositoryResponse Int Source #
The response's http status code.
createCodeRepositoryResponse_codeRepositoryArn :: Lens' CreateCodeRepositoryResponse Text Source #
The Amazon Resource Name (ARN) of the new repository.
CreateCompilationJob
createCompilationJob_inputConfig :: Lens' CreateCompilationJob (Maybe InputConfig) Source #
Provides information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
createCompilationJob_modelPackageVersionArn :: Lens' CreateCompilationJob (Maybe Text) Source #
The Amazon Resource Name (ARN) of a versioned model package. Provide
either a ModelPackageVersionArn
or an InputConfig
object in the
request syntax. The presence of both objects in the
CreateCompilationJob
request will return an exception.
createCompilationJob_tags :: Lens' CreateCompilationJob (Maybe [Tag]) Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
createCompilationJob_vpcConfig :: Lens' CreateCompilationJob (Maybe NeoVpcConfig) Source #
A VpcConfig object that specifies the VPC that you want your compilation job to connect to. Control access to your models by configuring the VPC. For more information, see Protect Compilation Jobs by Using an Amazon Virtual Private Cloud.
createCompilationJob_compilationJobName :: Lens' CreateCompilationJob Text Source #
A name for the model compilation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account.
createCompilationJob_roleArn :: Lens' CreateCompilationJob Text Source #
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
During model compilation, Amazon SageMaker needs your permission to:
- Read input data from an S3 bucket
- Write model artifacts to an S3 bucket
- Write logs to Amazon CloudWatch Logs
- Publish metrics to Amazon CloudWatch
You grant permissions for all of these tasks to an IAM role. To pass
this role to Amazon SageMaker, the caller of this API must have the
iam:PassRole
permission. For more information, see
Amazon SageMaker Roles.
createCompilationJob_outputConfig :: Lens' CreateCompilationJob OutputConfig Source #
Provides information about the output location for the compiled model and the target device the model runs on.
createCompilationJob_stoppingCondition :: Lens' CreateCompilationJob StoppingCondition Source #
Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training costs.
createCompilationJobResponse_httpStatus :: Lens' CreateCompilationJobResponse Int Source #
The response's http status code.
createCompilationJobResponse_compilationJobArn :: Lens' CreateCompilationJobResponse Text Source #
If the action is successful, the service sends back an HTTP 200 response. Amazon SageMaker returns the following data in JSON format:
CompilationJobArn
: The Amazon Resource Name (ARN) of the compiled job.
CreateContext
createContext_description :: Lens' CreateContext (Maybe Text) Source #
The description of the context.
createContext_properties :: Lens' CreateContext (Maybe (HashMap Text Text)) Source #
A list of properties to add to the context.
createContext_tags :: Lens' CreateContext (Maybe [Tag]) Source #
A list of tags to apply to the context.
createContext_contextName :: Lens' CreateContext Text Source #
The name of the context. Must be unique to your account in an Amazon Web Services Region.
createContext_source :: Lens' CreateContext ContextSource Source #
The source type, ID, and URI.
createContext_contextType :: Lens' CreateContext Text Source #
The context type.
createContextResponse_contextArn :: Lens' CreateContextResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the context.
createContextResponse_httpStatus :: Lens' CreateContextResponse Int Source #
The response's http status code.
CreateDataQualityJobDefinition
createDataQualityJobDefinition_dataQualityBaselineConfig :: Lens' CreateDataQualityJobDefinition (Maybe DataQualityBaselineConfig) Source #
Configures the constraints and baselines for the monitoring job.
createDataQualityJobDefinition_networkConfig :: Lens' CreateDataQualityJobDefinition (Maybe MonitoringNetworkConfig) Source #
Specifies networking configuration for the monitoring job.
createDataQualityJobDefinition_stoppingCondition :: Lens' CreateDataQualityJobDefinition (Maybe MonitoringStoppingCondition) Source #
Undocumented member.
createDataQualityJobDefinition_tags :: Lens' CreateDataQualityJobDefinition (Maybe [Tag]) Source #
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
createDataQualityJobDefinition_jobDefinitionName :: Lens' CreateDataQualityJobDefinition Text Source #
The name for the monitoring job definition.
createDataQualityJobDefinition_dataQualityAppSpecification :: Lens' CreateDataQualityJobDefinition DataQualityAppSpecification Source #
Specifies the container that runs the monitoring job.
createDataQualityJobDefinition_dataQualityJobInput :: Lens' CreateDataQualityJobDefinition DataQualityJobInput Source #
A list of inputs for the monitoring job. Currently endpoints are supported as monitoring inputs.
createDataQualityJobDefinition_dataQualityJobOutputConfig :: Lens' CreateDataQualityJobDefinition MonitoringOutputConfig Source #
Undocumented member.
createDataQualityJobDefinition_jobResources :: Lens' CreateDataQualityJobDefinition MonitoringResources Source #
Undocumented member.
createDataQualityJobDefinition_roleArn :: Lens' CreateDataQualityJobDefinition Text Source #
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
createDataQualityJobDefinitionResponse_httpStatus :: Lens' CreateDataQualityJobDefinitionResponse Int Source #
The response's http status code.
createDataQualityJobDefinitionResponse_jobDefinitionArn :: Lens' CreateDataQualityJobDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the job definition.
CreateDeviceFleet
createDeviceFleet_description :: Lens' CreateDeviceFleet (Maybe Text) Source #
A description of the fleet.
createDeviceFleet_enableIotRoleAlias :: Lens' CreateDeviceFleet (Maybe Bool) Source #
Whether to create an Amazon Web Services IoT Role Alias during device fleet creation. The name of the role alias generated will match this pattern: "SageMakerEdge-{DeviceFleetName}".
For example, if your device fleet is called "demo-fleet", the name of the role alias will be "SageMakerEdge-demo-fleet".
createDeviceFleet_roleArn :: Lens' CreateDeviceFleet (Maybe Text) Source #
The Amazon Resource Name (ARN) that has access to Amazon Web Services Internet of Things (IoT).
createDeviceFleet_tags :: Lens' CreateDeviceFleet (Maybe [Tag]) Source #
Creates tags for the specified fleet.
createDeviceFleet_deviceFleetName :: Lens' CreateDeviceFleet Text Source #
The name of the fleet that the device belongs to.
createDeviceFleet_outputConfig :: Lens' CreateDeviceFleet EdgeOutputConfig Source #
The output configuration for storing sample data collected by the fleet.
CreateDomain
createDomain_appNetworkAccessType :: Lens' CreateDomain (Maybe AppNetworkAccessType) Source #
Specifies the VPC used for non-EFS traffic. The default value is
PublicInternetOnly
.
PublicInternetOnly
- Non-EFS traffic is through a VPC managed by Amazon SageMaker, which allows direct internet accessVpcOnly
- All Studio traffic is through the specified VPC and subnets
createDomain_appSecurityGroupManagement :: Lens' CreateDomain (Maybe AppSecurityGroupManagement) Source #
The entity that creates and manages the required security groups for
inter-app communication in VPCOnly
mode. Required when
CreateDomain.AppNetworkAccessType
is VPCOnly
and
DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn
is provided.
createDomain_defaultSpaceSettings :: Lens' CreateDomain (Maybe DefaultSpaceSettings) Source #
The default settings used to create a space.
createDomain_domainSettings :: Lens' CreateDomain (Maybe DomainSettings) Source #
A collection of Domain
settings.
createDomain_homeEfsFileSystemKmsKeyId :: Lens' CreateDomain (Maybe Text) Source #
Use KmsKeyId
.
createDomain_kmsKeyId :: Lens' CreateDomain (Maybe Text) Source #
SageMaker uses Amazon Web Services KMS to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key by default. For more control, specify a customer managed key.
createDomain_tags :: Lens' CreateDomain (Maybe [Tag]) Source #
Tags to associated with the Domain. Each tag consists of a key and an
optional value. Tag keys must be unique per resource. Tags are
searchable using the Search
API.
Tags that you specify for the Domain are also added to all Apps that the Domain launches.
createDomain_domainName :: Lens' CreateDomain Text Source #
A name for the domain.
createDomain_authMode :: Lens' CreateDomain AuthMode Source #
The mode of authentication that members use to access the domain.
createDomain_defaultUserSettings :: Lens' CreateDomain UserSettings Source #
The default settings to use to create a user profile when UserSettings
isn't specified in the call to the CreateUserProfile
API.
SecurityGroups
is aggregated when specified in both calls. For all
other settings in UserSettings
, the values specified in
CreateUserProfile
take precedence over those specified in
CreateDomain
.
createDomain_subnetIds :: Lens' CreateDomain (NonEmpty Text) Source #
The VPC subnets that Studio uses for communication.
createDomain_vpcId :: Lens' CreateDomain Text Source #
The ID of the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
createDomainResponse_domainArn :: Lens' CreateDomainResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the created domain.
createDomainResponse_url :: Lens' CreateDomainResponse (Maybe Text) Source #
The URL to the created domain.
createDomainResponse_httpStatus :: Lens' CreateDomainResponse Int Source #
The response's http status code.
CreateEdgeDeploymentPlan
createEdgeDeploymentPlan_stages :: Lens' CreateEdgeDeploymentPlan (Maybe [DeploymentStage]) Source #
List of stages of the edge deployment plan. The number of stages is limited to 10 per deployment.
createEdgeDeploymentPlan_tags :: Lens' CreateEdgeDeploymentPlan (Maybe [Tag]) Source #
List of tags with which to tag the edge deployment plan.
createEdgeDeploymentPlan_edgeDeploymentPlanName :: Lens' CreateEdgeDeploymentPlan Text Source #
The name of the edge deployment plan.
createEdgeDeploymentPlan_modelConfigs :: Lens' CreateEdgeDeploymentPlan [EdgeDeploymentModelConfig] Source #
List of models associated with the edge deployment plan.
createEdgeDeploymentPlan_deviceFleetName :: Lens' CreateEdgeDeploymentPlan Text Source #
The device fleet used for this edge deployment plan.
createEdgeDeploymentPlanResponse_httpStatus :: Lens' CreateEdgeDeploymentPlanResponse Int Source #
The response's http status code.
createEdgeDeploymentPlanResponse_edgeDeploymentPlanArn :: Lens' CreateEdgeDeploymentPlanResponse Text Source #
The ARN of the edge deployment plan.
CreateEdgeDeploymentStage
createEdgeDeploymentStage_edgeDeploymentPlanName :: Lens' CreateEdgeDeploymentStage Text Source #
The name of the edge deployment plan.
createEdgeDeploymentStage_stages :: Lens' CreateEdgeDeploymentStage [DeploymentStage] Source #
List of stages to be added to the edge deployment plan.
CreateEdgePackagingJob
createEdgePackagingJob_resourceKey :: Lens' CreateEdgePackagingJob (Maybe Text) Source #
The Amazon Web Services KMS key to use when encrypting the EBS volume the edge packaging job runs on.
createEdgePackagingJob_tags :: Lens' CreateEdgePackagingJob (Maybe [Tag]) Source #
Creates tags for the packaging job.
createEdgePackagingJob_edgePackagingJobName :: Lens' CreateEdgePackagingJob Text Source #
The name of the edge packaging job.
createEdgePackagingJob_compilationJobName :: Lens' CreateEdgePackagingJob Text Source #
The name of the SageMaker Neo compilation job that will be used to locate model artifacts for packaging.
createEdgePackagingJob_modelName :: Lens' CreateEdgePackagingJob Text Source #
The name of the model.
createEdgePackagingJob_modelVersion :: Lens' CreateEdgePackagingJob Text Source #
The version of the model.
createEdgePackagingJob_roleArn :: Lens' CreateEdgePackagingJob Text Source #
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to download and upload the model, and to contact SageMaker Neo.
createEdgePackagingJob_outputConfig :: Lens' CreateEdgePackagingJob EdgeOutputConfig Source #
Provides information about the output location for the packaged model.
CreateEndpoint
createEndpoint_deploymentConfig :: Lens' CreateEndpoint (Maybe DeploymentConfig) Source #
Undocumented member.
createEndpoint_tags :: Lens' CreateEndpoint (Maybe [Tag]) Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
createEndpoint_endpointName :: Lens' CreateEndpoint Text Source #
The name of the endpoint.The name must be unique within an Amazon Web
Services Region in your Amazon Web Services account. The name is
case-insensitive in CreateEndpoint
, but the case is preserved and must
be matched in .
createEndpoint_endpointConfigName :: Lens' CreateEndpoint Text Source #
The name of an endpoint configuration. For more information, see CreateEndpointConfig.
createEndpointResponse_httpStatus :: Lens' CreateEndpointResponse Int Source #
The response's http status code.
createEndpointResponse_endpointArn :: Lens' CreateEndpointResponse Text Source #
The Amazon Resource Name (ARN) of the endpoint.
CreateEndpointConfig
createEndpointConfig_asyncInferenceConfig :: Lens' CreateEndpointConfig (Maybe AsyncInferenceConfig) Source #
Specifies configuration for how an endpoint performs asynchronous inference. This is a required field in order for your Endpoint to be invoked using InvokeEndpointAsync.
createEndpointConfig_dataCaptureConfig :: Lens' CreateEndpointConfig (Maybe DataCaptureConfig) Source #
Undocumented member.
createEndpointConfig_explainerConfig :: Lens' CreateEndpointConfig (Maybe ExplainerConfig) Source #
A member of CreateEndpointConfig
that enables explainers.
createEndpointConfig_kmsKeyId :: Lens' CreateEndpointConfig (Maybe Text) Source #
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
The KmsKeyId can be any of the following formats:
- Key ID:
1234abcd-12ab-34cd-56ef-1234567890ab
- Key ARN:
arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
- Alias name:
alias/ExampleAlias
- Alias name ARN:
arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
The KMS key policy must grant permission to the IAM role that you
specify in your CreateEndpoint
, UpdateEndpoint
requests. For more
information, refer to the Amazon Web Services Key Management Service
section
Using Key Policies in Amazon Web Services KMS
Certain Nitro-based instances include local storage, dependent on the
instance type. Local storage volumes are encrypted using a hardware
module on the instance. You can't request a KmsKeyId
when using an
instance type with local storage. If any of the models that you specify
in the ProductionVariants
parameter use nitro-based instances with
local storage, do not specify a value for the KmsKeyId
parameter. If
you specify a value for KmsKeyId
when using any nitro-based instances
with local storage, the call to CreateEndpointConfig
fails.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
createEndpointConfig_shadowProductionVariants :: Lens' CreateEndpointConfig (Maybe (NonEmpty ProductionVariant)) Source #
An array of ProductionVariant
objects, one for each model that you
want to host at this endpoint in shadow mode with production traffic
replicated from the model specified on ProductionVariants
. If you use
this field, you can only specify one variant for ProductionVariants
and one variant for ShadowProductionVariants
.
createEndpointConfig_tags :: Lens' CreateEndpointConfig (Maybe [Tag]) Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
createEndpointConfig_endpointConfigName :: Lens' CreateEndpointConfig Text Source #
The name of the endpoint configuration. You specify this name in a CreateEndpoint request.
createEndpointConfig_productionVariants :: Lens' CreateEndpointConfig (NonEmpty ProductionVariant) Source #
An array of ProductionVariant
objects, one for each model that you
want to host at this endpoint.
createEndpointConfigResponse_httpStatus :: Lens' CreateEndpointConfigResponse Int Source #
The response's http status code.
createEndpointConfigResponse_endpointConfigArn :: Lens' CreateEndpointConfigResponse Text Source #
The Amazon Resource Name (ARN) of the endpoint configuration.
CreateExperiment
createExperiment_description :: Lens' CreateExperiment (Maybe Text) Source #
The description of the experiment.
createExperiment_displayName :: Lens' CreateExperiment (Maybe Text) Source #
The name of the experiment as displayed. The name doesn't need to be
unique. If you don't specify DisplayName
, the value in
ExperimentName
is displayed.
createExperiment_tags :: Lens' CreateExperiment (Maybe [Tag]) Source #
A list of tags to associate with the experiment. You can use Search API to search on the tags.
createExperiment_experimentName :: Lens' CreateExperiment Text Source #
The name of the experiment. The name must be unique in your Amazon Web Services account and is not case-sensitive.
createExperimentResponse_experimentArn :: Lens' CreateExperimentResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the experiment.
createExperimentResponse_httpStatus :: Lens' CreateExperimentResponse Int Source #
The response's http status code.
CreateFeatureGroup
createFeatureGroup_description :: Lens' CreateFeatureGroup (Maybe Text) Source #
A free-form description of a FeatureGroup
.
createFeatureGroup_offlineStoreConfig :: Lens' CreateFeatureGroup (Maybe OfflineStoreConfig) Source #
Use this to configure an OfflineFeatureStore
. This parameter allows
you to specify:
- The Amazon Simple Storage Service (Amazon S3) location of an
OfflineStore
. - A configuration for an Amazon Web Services Glue or Amazon Web Services Hive data catalog.
- An KMS encryption key to encrypt the Amazon S3 location used for
OfflineStore
. If KMS encryption key is not specified, by default we encrypt all data at rest using Amazon Web Services KMS key. By defining your bucket-level key for SSE, you can reduce Amazon Web Services KMS requests costs by up to 99 percent. - Format for the offline store table. Supported formats are Glue (Default) and Apache Iceberg.
To learn more about this parameter, see OfflineStoreConfig.
createFeatureGroup_onlineStoreConfig :: Lens' CreateFeatureGroup (Maybe OnlineStoreConfig) Source #
You can turn the OnlineStore
on or off by specifying True
for the
EnableOnlineStore
flag in OnlineStoreConfig
; the default value is
False
.
You can also include an Amazon Web Services KMS key ID (KMSKeyId
) for
at-rest encryption of the OnlineStore
.
createFeatureGroup_roleArn :: Lens' CreateFeatureGroup (Maybe Text) Source #
The Amazon Resource Name (ARN) of the IAM execution role used to persist
data into the OfflineStore
if an OfflineStoreConfig
is provided.
createFeatureGroup_tags :: Lens' CreateFeatureGroup (Maybe [Tag]) Source #
Tags used to identify Features
in each FeatureGroup
.
createFeatureGroup_featureGroupName :: Lens' CreateFeatureGroup Text Source #
The name of the FeatureGroup
. The name must be unique within an Amazon
Web Services Region in an Amazon Web Services account. The name:
- Must start and end with an alphanumeric character.
- Can only contain alphanumeric character and hyphens. Spaces are not allowed.
createFeatureGroup_recordIdentifierFeatureName :: Lens' CreateFeatureGroup Text Source #
The name of the Feature
whose value uniquely identifies a Record
defined in the FeatureStore
. Only the latest record per identifier
value will be stored in the OnlineStore
. RecordIdentifierFeatureName
must be one of feature definitions' names.
You use the RecordIdentifierFeatureName
to access data in a
FeatureStore
.
This name:
- Must start and end with an alphanumeric character.
- Can only contains alphanumeric characters, hyphens, underscores. Spaces are not allowed.
createFeatureGroup_eventTimeFeatureName :: Lens' CreateFeatureGroup Text Source #
The name of the feature that stores the EventTime
of a Record
in a
FeatureGroup
.
An EventTime
is a point in time when a new event occurs that
corresponds to the creation or update of a Record
in a FeatureGroup
.
All Records
in the FeatureGroup
must have a corresponding
EventTime
.
An EventTime
can be a String
or Fractional
.
Fractional
:EventTime
feature values must be a Unix timestamp in seconds.String
:EventTime
feature values must be an ISO-8601 string in the format. The following formats are supportedyyyy-MM-dd'T'HH:mm:ssZ
andyyyy-MM-dd'T'HH:mm:ss.SSSZ
whereyyyy
,MM
, anddd
represent the year, month, and day respectively andHH
,mm
,ss
, and if applicable,SSS
represent the hour, month, second and milliseconds respsectively.'T'
andZ
are constants.
createFeatureGroup_featureDefinitions :: Lens' CreateFeatureGroup (NonEmpty FeatureDefinition) Source #
A list of Feature
names and types. Name
and Type
is compulsory per
Feature
.
Valid feature FeatureType
s are Integral
, Fractional
and String
.
FeatureName
s cannot be any of the following: is_deleted
,
write_time
, api_invocation_time
You can create up to 2,500 FeatureDefinition
s per FeatureGroup
.
createFeatureGroupResponse_httpStatus :: Lens' CreateFeatureGroupResponse Int Source #
The response's http status code.
createFeatureGroupResponse_featureGroupArn :: Lens' CreateFeatureGroupResponse Text Source #
The Amazon Resource Name (ARN) of the FeatureGroup
. This is a unique
identifier for the feature group.
CreateFlowDefinition
createFlowDefinition_humanLoopActivationConfig :: Lens' CreateFlowDefinition (Maybe HumanLoopActivationConfig) Source #
An object containing information about the events that trigger a human workflow.
createFlowDefinition_humanLoopRequestSource :: Lens' CreateFlowDefinition (Maybe HumanLoopRequestSource) Source #
Container for configuring the source of human task requests. Use to specify if Amazon Rekognition or Amazon Textract is used as an integration source.
createFlowDefinition_tags :: Lens' CreateFlowDefinition (Maybe [Tag]) Source #
An array of key-value pairs that contain metadata to help you categorize and organize a flow definition. Each tag consists of a key and a value, both of which you define.
createFlowDefinition_flowDefinitionName :: Lens' CreateFlowDefinition Text Source #
The name of your flow definition.
createFlowDefinition_humanLoopConfig :: Lens' CreateFlowDefinition HumanLoopConfig Source #
An object containing information about the tasks the human reviewers will perform.
createFlowDefinition_outputConfig :: Lens' CreateFlowDefinition FlowDefinitionOutputConfig Source #
An object containing information about where the human review results will be uploaded.
createFlowDefinition_roleArn :: Lens' CreateFlowDefinition Text Source #
The Amazon Resource Name (ARN) of the role needed to call other services
on your behalf. For example,
arn:aws:iam::1234567890:role/service-role/AmazonSageMaker-ExecutionRole-20180111T151298
.
createFlowDefinitionResponse_httpStatus :: Lens' CreateFlowDefinitionResponse Int Source #
The response's http status code.
createFlowDefinitionResponse_flowDefinitionArn :: Lens' CreateFlowDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the flow definition you create.
CreateHub
createHub_hubSearchKeywords :: Lens' CreateHub (Maybe [Text]) Source #
The searchable keywords for the hub.
createHub_s3StorageConfig :: Lens' CreateHub (Maybe HubS3StorageConfig) Source #
The Amazon S3 storage configuration for the hub.
createHubResponse_httpStatus :: Lens' CreateHubResponse Int Source #
The response's http status code.
createHubResponse_hubArn :: Lens' CreateHubResponse Text Source #
The Amazon Resource Name (ARN) of the hub.
CreateHumanTaskUi
createHumanTaskUi_tags :: Lens' CreateHumanTaskUi (Maybe [Tag]) Source #
An array of key-value pairs that contain metadata to help you categorize and organize a human review workflow user interface. Each tag consists of a key and a value, both of which you define.
createHumanTaskUi_humanTaskUiName :: Lens' CreateHumanTaskUi Text Source #
The name of the user interface you are creating.
createHumanTaskUi_uiTemplate :: Lens' CreateHumanTaskUi UiTemplate Source #
Undocumented member.
createHumanTaskUiResponse_httpStatus :: Lens' CreateHumanTaskUiResponse Int Source #
The response's http status code.
createHumanTaskUiResponse_humanTaskUiArn :: Lens' CreateHumanTaskUiResponse Text Source #
The Amazon Resource Name (ARN) of the human review workflow user interface you create.
CreateHyperParameterTuningJob
createHyperParameterTuningJob_tags :: Lens' CreateHyperParameterTuningJob (Maybe [Tag]) Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
Tags that you specify for the tuning job are also added to all training jobs that the tuning job launches.
createHyperParameterTuningJob_trainingJobDefinition :: Lens' CreateHyperParameterTuningJob (Maybe HyperParameterTrainingJobDefinition) Source #
The HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches, including static hyperparameters, input data configuration, output data configuration, resource configuration, and stopping condition.
createHyperParameterTuningJob_trainingJobDefinitions :: Lens' CreateHyperParameterTuningJob (Maybe (NonEmpty HyperParameterTrainingJobDefinition)) Source #
A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
createHyperParameterTuningJob_warmStartConfig :: Lens' CreateHyperParameterTuningJob (Maybe HyperParameterTuningJobWarmStartConfig) Source #
Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
All training jobs launched by the new hyperparameter tuning job are
evaluated by using the objective metric. If you specify
IDENTICAL_DATA_AND_ALGORITHM
as the WarmStartType
value for the warm
start configuration, the training job that performs the best in the new
tuning job is compared to the best training jobs from the parent tuning
jobs. From these, the training job that performs the best as measured by
the objective metric is returned as the overall best training job.
All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
createHyperParameterTuningJob_hyperParameterTuningJobName :: Lens' CreateHyperParameterTuningJob Text Source #
The name of the tuning job. This name is the prefix for the names of all training jobs that this tuning job launches. The name must be unique within the same Amazon Web Services account and Amazon Web Services Region. The name must have 1 to 32 characters. Valid characters are a-z, A-Z, 0-9, and : + = @ _ % - (hyphen). The name is not case sensitive.
createHyperParameterTuningJob_hyperParameterTuningJobConfig :: Lens' CreateHyperParameterTuningJob HyperParameterTuningJobConfig Source #
The HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the tuning job. For more information, see How Hyperparameter Tuning Works.
createHyperParameterTuningJobResponse_httpStatus :: Lens' CreateHyperParameterTuningJobResponse Int Source #
The response's http status code.
createHyperParameterTuningJobResponse_hyperParameterTuningJobArn :: Lens' CreateHyperParameterTuningJobResponse Text Source #
The Amazon Resource Name (ARN) of the tuning job. SageMaker assigns an ARN to a hyperparameter tuning job when you create it.
CreateImage
createImage_description :: Lens' CreateImage (Maybe Text) Source #
The description of the image.
createImage_displayName :: Lens' CreateImage (Maybe Text) Source #
The display name of the image. If not provided, ImageName
is
displayed.
createImage_tags :: Lens' CreateImage (Maybe [Tag]) Source #
A list of tags to apply to the image.
createImage_imageName :: Lens' CreateImage Text Source #
The name of the image. Must be unique to your account.
createImage_roleArn :: Lens' CreateImage Text Source #
The ARN of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
createImageResponse_imageArn :: Lens' CreateImageResponse (Maybe Text) Source #
The ARN of the image.
createImageResponse_httpStatus :: Lens' CreateImageResponse Int Source #
The response's http status code.
CreateImageVersion
createImageVersion_aliases :: Lens' CreateImageVersion (Maybe [Text]) Source #
A list of aliases created with the image version.
createImageVersion_horovod :: Lens' CreateImageVersion (Maybe Bool) Source #
Indicates Horovod compatibility.
createImageVersion_jobType :: Lens' CreateImageVersion (Maybe JobType) Source #
Indicates SageMaker job type compatibility.
TRAINING
: The image version is compatible with SageMaker training jobs.INFERENCE
: The image version is compatible with SageMaker inference jobs.NOTEBOOK_KERNEL
: The image version is compatible with SageMaker notebook kernels.
createImageVersion_mLFramework :: Lens' CreateImageVersion (Maybe Text) Source #
The machine learning framework vended in the image version.
createImageVersion_processor :: Lens' CreateImageVersion (Maybe Processor) Source #
Indicates CPU or GPU compatibility.
CPU
: The image version is compatible with CPU.GPU
: The image version is compatible with GPU.
createImageVersion_programmingLang :: Lens' CreateImageVersion (Maybe Text) Source #
The supported programming language and its version.
createImageVersion_releaseNotes :: Lens' CreateImageVersion (Maybe Text) Source #
The maintainer description of the image version.
createImageVersion_vendorGuidance :: Lens' CreateImageVersion (Maybe VendorGuidance) Source #
The stability of the image version, specified by the maintainer.
NOT_PROVIDED
: The maintainers did not provide a status for image version stability.STABLE
: The image version is stable.TO_BE_ARCHIVED
: The image version is set to be archived. Custom image versions that are set to be archived are automatically archived after three months.ARCHIVED
: The image version is archived. Archived image versions are not searchable and are no longer actively supported.
createImageVersion_baseImage :: Lens' CreateImageVersion Text Source #
The registry path of the container image to use as the starting point for this version. The path is an Amazon Elastic Container Registry (ECR) URI in the following format:
<acct-id>.dkr.ecr.<region>.amazonaws.com/<repo-name[:tag] or [@digest]>
createImageVersion_clientToken :: Lens' CreateImageVersion Text Source #
A unique ID. If not specified, the Amazon Web Services CLI and Amazon Web Services SDKs, such as the SDK for Python (Boto3), add a unique value to the call.
createImageVersion_imageName :: Lens' CreateImageVersion Text Source #
The ImageName
of the Image
to create a version of.
createImageVersionResponse_imageVersionArn :: Lens' CreateImageVersionResponse (Maybe Text) Source #
The ARN of the image version.
createImageVersionResponse_httpStatus :: Lens' CreateImageVersionResponse Int Source #
The response's http status code.
CreateInferenceExperiment
createInferenceExperiment_dataStorageConfig :: Lens' CreateInferenceExperiment (Maybe InferenceExperimentDataStorageConfig) Source #
The Amazon S3 location and configuration for storing inference request and response data.
This is an optional parameter that you can use for data capture. For more information, see Capture data.
createInferenceExperiment_description :: Lens' CreateInferenceExperiment (Maybe Text) Source #
A description for the inference experiment.
createInferenceExperiment_kmsKey :: Lens' CreateInferenceExperiment (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS)
key that Amazon SageMaker uses to encrypt data on the storage volume
attached to the ML compute instance that hosts the endpoint. The
KmsKey
can be any of the following formats:
KMS key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
KMS key Alias
"alias/ExampleAlias"
Amazon Resource Name (ARN) of a KMS key Alias
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the Amazon
SageMaker execution role must include permissions to call kms:Encrypt
.
If you don't provide a KMS key ID, Amazon SageMaker uses the default
KMS key for Amazon S3 for your role's account. Amazon SageMaker uses
server-side encryption with KMS managed keys for OutputDataConfig
. If
you use a bucket policy with an s3:PutObject
permission that only
allows objects with server-side encryption, set the condition key of
s3:x-amz-server-side-encryption
to "aws:kms"
. For more
information, see
KMS managed Encryption Keys
in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you
specify in your CreateEndpoint
and UpdateEndpoint
requests. For more
information, see
Using Key Policies in Amazon Web Services KMS
in the Amazon Web Services Key Management Service Developer Guide.
createInferenceExperiment_schedule :: Lens' CreateInferenceExperiment (Maybe InferenceExperimentSchedule) Source #
The duration for which you want the inference experiment to run. If you don't specify this field, the experiment automatically starts immediately upon creation and concludes after 7 days.
createInferenceExperiment_tags :: Lens' CreateInferenceExperiment (Maybe [Tag]) Source #
Array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging your Amazon Web Services Resources.
createInferenceExperiment_name :: Lens' CreateInferenceExperiment Text Source #
The name for the inference experiment.
createInferenceExperiment_type :: Lens' CreateInferenceExperiment InferenceExperimentType Source #
The type of the inference experiment that you want to run. The following types of experiments are possible:
ShadowMode
: You can use this type to validate a shadow variant. For more information, see Shadow tests.
createInferenceExperiment_roleArn :: Lens' CreateInferenceExperiment Text Source #
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
createInferenceExperiment_endpointName :: Lens' CreateInferenceExperiment Text Source #
The name of the Amazon SageMaker endpoint on which you want to run the inference experiment.
createInferenceExperiment_modelVariants :: Lens' CreateInferenceExperiment (NonEmpty ModelVariantConfig) Source #
An array of ModelVariantConfig
objects. There is one for each variant
in the inference experiment. Each ModelVariantConfig
object in the
array describes the infrastructure configuration for the corresponding
variant.
createInferenceExperiment_shadowModeConfig :: Lens' CreateInferenceExperiment ShadowModeConfig Source #
The configuration of ShadowMode
inference experiment type. Use this
field to specify a production variant which takes all the inference
requests, and a shadow variant to which Amazon SageMaker replicates a
percentage of the inference requests. For the shadow variant also
specify the percentage of requests that Amazon SageMaker replicates.
createInferenceExperimentResponse_httpStatus :: Lens' CreateInferenceExperimentResponse Int Source #
The response's http status code.
createInferenceExperimentResponse_inferenceExperimentArn :: Lens' CreateInferenceExperimentResponse Text Source #
The ARN for your inference experiment.
CreateInferenceRecommendationsJob
createInferenceRecommendationsJob_jobDescription :: Lens' CreateInferenceRecommendationsJob (Maybe Text) Source #
Description of the recommendation job.
createInferenceRecommendationsJob_outputConfig :: Lens' CreateInferenceRecommendationsJob (Maybe RecommendationJobOutputConfig) Source #
Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.
createInferenceRecommendationsJob_stoppingConditions :: Lens' CreateInferenceRecommendationsJob (Maybe RecommendationJobStoppingConditions) Source #
A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically stopped.
createInferenceRecommendationsJob_tags :: Lens' CreateInferenceRecommendationsJob (Maybe [Tag]) Source #
The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.
createInferenceRecommendationsJob_jobName :: Lens' CreateInferenceRecommendationsJob Text Source #
A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account.
createInferenceRecommendationsJob_jobType :: Lens' CreateInferenceRecommendationsJob RecommendationJobType Source #
Defines the type of recommendation job. Specify Default
to initiate an
instance recommendation and Advanced
to initiate a load test. If left
unspecified, Amazon SageMaker Inference Recommender will run an instance
recommendation (DEFAULT
) job.
createInferenceRecommendationsJob_roleArn :: Lens' CreateInferenceRecommendationsJob Text Source #
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
createInferenceRecommendationsJob_inputConfig :: Lens' CreateInferenceRecommendationsJob RecommendationJobInputConfig Source #
Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.
createInferenceRecommendationsJobResponse_httpStatus :: Lens' CreateInferenceRecommendationsJobResponse Int Source #
The response's http status code.
createInferenceRecommendationsJobResponse_jobArn :: Lens' CreateInferenceRecommendationsJobResponse Text Source #
The Amazon Resource Name (ARN) of the recommendation job.
CreateLabelingJob
createLabelingJob_labelCategoryConfigS3Uri :: Lens' CreateLabelingJob (Maybe Text) Source #
The S3 URI of the file, referred to as a /label category configuration file/, that defines the categories used to label the data objects.
For 3D point cloud and video frame task types, you can add label category attributes and frame attributes to your label category configuration file. To learn how, see Create a Labeling Category Configuration File for 3D Point Cloud Labeling Jobs.
For named entity recognition jobs, in addition to "labels"
, you must
provide worker instructions in the label category configuration file
using the "instructions"
parameter:
"instructions": {"shortInstruction":"<h1>Add header</h1><p>Add Instructions</p>", "fullInstruction":"<p>Add additional instructions.</p>"}
.
For details and an example, see
Create a Named Entity Recognition Labeling Job (API)
.
For all other
built-in task types
and
custom tasks,
your label category configuration file must be a JSON file in the
following format. Identify the labels you want to use by replacing
label_1
, label_2
,...
,label_n
with your label categories.
{
"document-version": "2018-11-28",
"labels": [{"label": "label_1"},{"label": "label_2"},...{"label": "label_n"}]
}
Note the following about the label category configuration file:
- For image classification and text classification (single and multi-label) you must specify at least two label categories. For all other task types, the minimum number of label categories required is one.
- Each label category must be unique, you cannot specify duplicate label categories.
- If you create a 3D point cloud or video frame adjustment or
verification labeling job, you must include
auditLabelAttributeName
in the label category configuration. Use this parameter to enter the LabelAttributeName of the labeling job you want to adjust or verify annotations of.
createLabelingJob_labelingJobAlgorithmsConfig :: Lens' CreateLabelingJob (Maybe LabelingJobAlgorithmsConfig) Source #
Configures the information required to perform automated data labeling.
createLabelingJob_stoppingConditions :: Lens' CreateLabelingJob (Maybe LabelingJobStoppingConditions) Source #
A set of conditions for stopping the labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
createLabelingJob_tags :: Lens' CreateLabelingJob (Maybe [Tag]) Source #
An array of key/value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
createLabelingJob_labelingJobName :: Lens' CreateLabelingJob Text Source #
The name of the labeling job. This name is used to identify the job in a
list of labeling jobs. Labeling job names must be unique within an
Amazon Web Services account and region. LabelingJobName
is not case
sensitive. For example, Example-job and example-job are considered the
same labeling job name by Ground Truth.
createLabelingJob_labelAttributeName :: Lens' CreateLabelingJob Text Source #
The attribute name to use for the label in the output manifest file.
This is the key for the key/value pair formed with the label that a
worker assigns to the object. The LabelAttributeName
must meet the
following requirements.
- The name can't end with "-metadata".
If you are using one of the following built-in task types, the attribute name must end with "-ref". If the task type you are using is not listed below, the attribute name must not end with "-ref".
- Image semantic segmentation (
SemanticSegmentation)
, and adjustment (AdjustmentSemanticSegmentation
) and verification (VerificationSemanticSegmentation
) labeling jobs for this task type. - Video frame object detection (
VideoObjectDetection
), and adjustment and verification (AdjustmentVideoObjectDetection
) labeling jobs for this task type. - Video frame object tracking (
VideoObjectTracking
), and adjustment and verification (AdjustmentVideoObjectTracking
) labeling jobs for this task type. - 3D point cloud semantic segmentation
(
3DPointCloudSemanticSegmentation
), and adjustment and verification (Adjustment3DPointCloudSemanticSegmentation
) labeling jobs for this task type. - 3D point cloud object tracking (
3DPointCloudObjectTracking
), and adjustment and verification (Adjustment3DPointCloudObjectTracking
) labeling jobs for this task type.
- Image semantic segmentation (
If you are creating an adjustment or verification labeling job, you must
use a different LabelAttributeName
than the one used in the original
labeling job. The original labeling job is the Ground Truth labeling job
that produced the labels that you want verified or adjusted. To learn
more about adjustment and verification labeling jobs, see
Verify and Adjust Labels.
createLabelingJob_inputConfig :: Lens' CreateLabelingJob LabelingJobInputConfig Source #
Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
You must specify at least one of the following: S3DataSource
or
SnsDataSource
.
- Use
SnsDataSource
to specify an SNS input topic for a streaming labeling job. If you do not specify and SNS input topic ARN, Ground Truth will create a one-time labeling job that stops after all data objects in the input manifest file have been labeled. - Use
S3DataSource
to specify an input manifest file for both streaming and one-time labeling jobs. Adding anS3DataSource
is optional if you useSnsDataSource
to create a streaming labeling job.
If you use the Amazon Mechanical Turk workforce, your input data should
not include confidential information, personal information or protected
health information. Use ContentClassifiers
to specify that your data
is free of personally identifiable information and adult content.
createLabelingJob_outputConfig :: Lens' CreateLabelingJob LabelingJobOutputConfig Source #
The location of the output data and the Amazon Web Services Key Management Service key ID for the key used to encrypt the output data, if any.
createLabelingJob_roleArn :: Lens' CreateLabelingJob Text Source #
The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.
createLabelingJob_humanTaskConfig :: Lens' CreateLabelingJob HumanTaskConfig Source #
Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords, and batch size (task count).
createLabelingJobResponse_httpStatus :: Lens' CreateLabelingJobResponse Int Source #
The response's http status code.
createLabelingJobResponse_labelingJobArn :: Lens' CreateLabelingJobResponse Text Source #
The Amazon Resource Name (ARN) of the labeling job. You use this ARN to identify the labeling job.
CreateModel
createModel_containers :: Lens' CreateModel (Maybe [ContainerDefinition]) Source #
Specifies the containers in the inference pipeline.
createModel_enableNetworkIsolation :: Lens' CreateModel (Maybe Bool) Source #
Isolates the model container. No inbound or outbound network calls can be made to or from the model container.
createModel_inferenceExecutionConfig :: Lens' CreateModel (Maybe InferenceExecutionConfig) Source #
Specifies details of how containers in a multi-container endpoint are called.
createModel_primaryContainer :: Lens' CreateModel (Maybe ContainerDefinition) Source #
The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.
createModel_tags :: Lens' CreateModel (Maybe [Tag]) Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
createModel_vpcConfig :: Lens' CreateModel (Maybe VpcConfig) Source #
A VpcConfig object that specifies the VPC that you want your model to
connect to. Control access to and from your model container by
configuring the VPC. VpcConfig
is used in hosting services and in
batch transform. For more information, see
Protect Endpoints by Using an Amazon Virtual Private Cloud
and
Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.
createModel_modelName :: Lens' CreateModel Text Source #
The name of the new model.
createModel_executionRoleArn :: Lens' CreateModel Text Source #
The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see SageMaker Roles.
To be able to pass this role to SageMaker, the caller of this API must
have the iam:PassRole
permission.
createModelResponse_httpStatus :: Lens' CreateModelResponse Int Source #
The response's http status code.
createModelResponse_modelArn :: Lens' CreateModelResponse Text Source #
The ARN of the model created in SageMaker.
CreateModelBiasJobDefinition
createModelBiasJobDefinition_modelBiasBaselineConfig :: Lens' CreateModelBiasJobDefinition (Maybe ModelBiasBaselineConfig) Source #
The baseline configuration for a model bias job.
createModelBiasJobDefinition_networkConfig :: Lens' CreateModelBiasJobDefinition (Maybe MonitoringNetworkConfig) Source #
Networking options for a model bias job.
createModelBiasJobDefinition_stoppingCondition :: Lens' CreateModelBiasJobDefinition (Maybe MonitoringStoppingCondition) Source #
Undocumented member.
createModelBiasJobDefinition_tags :: Lens' CreateModelBiasJobDefinition (Maybe [Tag]) Source #
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
createModelBiasJobDefinition_jobDefinitionName :: Lens' CreateModelBiasJobDefinition Text Source #
The name of the bias job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
createModelBiasJobDefinition_modelBiasAppSpecification :: Lens' CreateModelBiasJobDefinition ModelBiasAppSpecification Source #
Configures the model bias job to run a specified Docker container image.
createModelBiasJobDefinition_modelBiasJobInput :: Lens' CreateModelBiasJobDefinition ModelBiasJobInput Source #
Inputs for the model bias job.
createModelBiasJobDefinition_modelBiasJobOutputConfig :: Lens' CreateModelBiasJobDefinition MonitoringOutputConfig Source #
Undocumented member.
createModelBiasJobDefinition_jobResources :: Lens' CreateModelBiasJobDefinition MonitoringResources Source #
Undocumented member.
createModelBiasJobDefinition_roleArn :: Lens' CreateModelBiasJobDefinition Text Source #
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
createModelBiasJobDefinitionResponse_httpStatus :: Lens' CreateModelBiasJobDefinitionResponse Int Source #
The response's http status code.
createModelBiasJobDefinitionResponse_jobDefinitionArn :: Lens' CreateModelBiasJobDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the model bias job.
CreateModelCard
createModelCard_securityConfig :: Lens' CreateModelCard (Maybe ModelCardSecurityConfig) Source #
An optional Key Management Service key to encrypt, decrypt, and re-encrypt model card content for regulated workloads with highly sensitive data.
createModelCard_tags :: Lens' CreateModelCard (Maybe [Tag]) Source #
Key-value pairs used to manage metadata for model cards.
createModelCard_modelCardName :: Lens' CreateModelCard Text Source #
The unique name of the model card.
createModelCard_content :: Lens' CreateModelCard Text Source #
The content of the model card. Content must be in model card JSON schema and provided as a string.
createModelCard_modelCardStatus :: Lens' CreateModelCard ModelCardStatus Source #
The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft
: The model card is a work in progress.PendingReview
: The model card is pending review.Approved
: The model card is approved.Archived
: The model card is archived. No more updates should be made to the model card, but it can still be exported.
createModelCardResponse_httpStatus :: Lens' CreateModelCardResponse Int Source #
The response's http status code.
createModelCardResponse_modelCardArn :: Lens' CreateModelCardResponse Text Source #
The Amazon Resource Name (ARN) of the successfully created model card.
CreateModelCardExportJob
createModelCardExportJob_modelCardVersion :: Lens' CreateModelCardExportJob (Maybe Int) Source #
The version of the model card to export. If a version is not provided, then the latest version of the model card is exported.
createModelCardExportJob_modelCardName :: Lens' CreateModelCardExportJob Text Source #
The name of the model card to export.
createModelCardExportJob_modelCardExportJobName :: Lens' CreateModelCardExportJob Text Source #
The name of the model card export job.
createModelCardExportJob_outputConfig :: Lens' CreateModelCardExportJob ModelCardExportOutputConfig Source #
The model card output configuration that specifies the Amazon S3 path for exporting.
createModelCardExportJobResponse_httpStatus :: Lens' CreateModelCardExportJobResponse Int Source #
The response's http status code.
createModelCardExportJobResponse_modelCardExportJobArn :: Lens' CreateModelCardExportJobResponse Text Source #
The Amazon Resource Name (ARN) of the model card export job.
CreateModelExplainabilityJobDefinition
createModelExplainabilityJobDefinition_modelExplainabilityBaselineConfig :: Lens' CreateModelExplainabilityJobDefinition (Maybe ModelExplainabilityBaselineConfig) Source #
The baseline configuration for a model explainability job.
createModelExplainabilityJobDefinition_networkConfig :: Lens' CreateModelExplainabilityJobDefinition (Maybe MonitoringNetworkConfig) Source #
Networking options for a model explainability job.
createModelExplainabilityJobDefinition_stoppingCondition :: Lens' CreateModelExplainabilityJobDefinition (Maybe MonitoringStoppingCondition) Source #
Undocumented member.
createModelExplainabilityJobDefinition_tags :: Lens' CreateModelExplainabilityJobDefinition (Maybe [Tag]) Source #
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
createModelExplainabilityJobDefinition_jobDefinitionName :: Lens' CreateModelExplainabilityJobDefinition Text Source #
The name of the model explainability job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
createModelExplainabilityJobDefinition_modelExplainabilityAppSpecification :: Lens' CreateModelExplainabilityJobDefinition ModelExplainabilityAppSpecification Source #
Configures the model explainability job to run a specified Docker container image.
createModelExplainabilityJobDefinition_modelExplainabilityJobInput :: Lens' CreateModelExplainabilityJobDefinition ModelExplainabilityJobInput Source #
Inputs for the model explainability job.
createModelExplainabilityJobDefinition_modelExplainabilityJobOutputConfig :: Lens' CreateModelExplainabilityJobDefinition MonitoringOutputConfig Source #
Undocumented member.
createModelExplainabilityJobDefinition_jobResources :: Lens' CreateModelExplainabilityJobDefinition MonitoringResources Source #
Undocumented member.
createModelExplainabilityJobDefinition_roleArn :: Lens' CreateModelExplainabilityJobDefinition Text Source #
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
createModelExplainabilityJobDefinitionResponse_httpStatus :: Lens' CreateModelExplainabilityJobDefinitionResponse Int Source #
The response's http status code.
createModelExplainabilityJobDefinitionResponse_jobDefinitionArn :: Lens' CreateModelExplainabilityJobDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the model explainability job.
CreateModelPackage
createModelPackage_additionalInferenceSpecifications :: Lens' CreateModelPackage (Maybe (NonEmpty AdditionalInferenceSpecificationDefinition)) Source #
An array of additional Inference Specification objects. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
createModelPackage_certifyForMarketplace :: Lens' CreateModelPackage (Maybe Bool) Source #
Whether to certify the model package for listing on Amazon Web Services Marketplace.
This parameter is optional for unversioned models, and does not apply to versioned models.
createModelPackage_clientToken :: Lens' CreateModelPackage (Maybe Text) Source #
A unique token that guarantees that the call to this API is idempotent.
createModelPackage_customerMetadataProperties :: Lens' CreateModelPackage (Maybe (HashMap Text Text)) Source #
The metadata properties associated with the model package versions.
createModelPackage_domain :: Lens' CreateModelPackage (Maybe Text) Source #
The machine learning domain of your model package and its components. Common machine learning domains include computer vision and natural language processing.
createModelPackage_driftCheckBaselines :: Lens' CreateModelPackage (Maybe DriftCheckBaselines) Source #
Represents the drift check baselines that can be used when the model monitor is set using the model package. For more information, see the topic on Drift Detection against Previous Baselines in SageMaker Pipelines in the Amazon SageMaker Developer Guide.
createModelPackage_inferenceSpecification :: Lens' CreateModelPackage (Maybe InferenceSpecification) Source #
Specifies details about inference jobs that can be run with models based on this model package, including the following:
- The Amazon ECR paths of containers that contain the inference code and model artifacts.
- The instance types that the model package supports for transform jobs and real-time endpoints used for inference.
- The input and output content formats that the model package supports for inference.
createModelPackage_metadataProperties :: Lens' CreateModelPackage (Maybe MetadataProperties) Source #
Undocumented member.
createModelPackage_modelApprovalStatus :: Lens' CreateModelPackage (Maybe ModelApprovalStatus) Source #
Whether the model is approved for deployment.
This parameter is optional for versioned models, and does not apply to unversioned models.
For versioned models, the value of this parameter must be set to
Approved
to deploy the model.
createModelPackage_modelMetrics :: Lens' CreateModelPackage (Maybe ModelMetrics) Source #
A structure that contains model metrics reports.
createModelPackage_modelPackageDescription :: Lens' CreateModelPackage (Maybe Text) Source #
A description of the model package.
createModelPackage_modelPackageGroupName :: Lens' CreateModelPackage (Maybe Text) Source #
The name or Amazon Resource Name (ARN) of the model package group that this model version belongs to.
This parameter is required for versioned models, and does not apply to unversioned models.
createModelPackage_modelPackageName :: Lens' CreateModelPackage (Maybe Text) Source #
The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
This parameter is required for unversioned models. It is not applicable to versioned models.
createModelPackage_samplePayloadUrl :: Lens' CreateModelPackage (Maybe Text) Source #
The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
createModelPackage_sourceAlgorithmSpecification :: Lens' CreateModelPackage (Maybe SourceAlgorithmSpecification) Source #
Details about the algorithm that was used to create the model package.
createModelPackage_tags :: Lens' CreateModelPackage (Maybe [Tag]) Source #
A list of key value pairs associated with the model. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
createModelPackage_task :: Lens' CreateModelPackage (Maybe Text) Source #
The machine learning task your model package accomplishes. Common
machine learning tasks include object detection and image
classification. The following tasks are supported by Inference
Recommender: "IMAGE_CLASSIFICATION"
| "OBJECT_DETECTION"
|
"TEXT_GENERATION"
|"IMAGE_SEGMENTATION"
| "FILL_MASK"
|
"CLASSIFICATION"
| "REGRESSION"
| "OTHER"
.
Specify "OTHER" if none of the tasks listed fit your use case.
createModelPackage_validationSpecification :: Lens' CreateModelPackage (Maybe ModelPackageValidationSpecification) Source #
Specifies configurations for one or more transform jobs that SageMaker runs to test the model package.
createModelPackageResponse_httpStatus :: Lens' CreateModelPackageResponse Int Source #
The response's http status code.
createModelPackageResponse_modelPackageArn :: Lens' CreateModelPackageResponse Text Source #
The Amazon Resource Name (ARN) of the new model package.
CreateModelPackageGroup
createModelPackageGroup_modelPackageGroupDescription :: Lens' CreateModelPackageGroup (Maybe Text) Source #
A description for the model group.
createModelPackageGroup_tags :: Lens' CreateModelPackageGroup (Maybe [Tag]) Source #
A list of key value pairs associated with the model group. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
createModelPackageGroup_modelPackageGroupName :: Lens' CreateModelPackageGroup Text Source #
The name of the model group.
createModelPackageGroupResponse_httpStatus :: Lens' CreateModelPackageGroupResponse Int Source #
The response's http status code.
createModelPackageGroupResponse_modelPackageGroupArn :: Lens' CreateModelPackageGroupResponse Text Source #
The Amazon Resource Name (ARN) of the model group.
CreateModelQualityJobDefinition
createModelQualityJobDefinition_modelQualityBaselineConfig :: Lens' CreateModelQualityJobDefinition (Maybe ModelQualityBaselineConfig) Source #
Specifies the constraints and baselines for the monitoring job.
createModelQualityJobDefinition_networkConfig :: Lens' CreateModelQualityJobDefinition (Maybe MonitoringNetworkConfig) Source #
Specifies the network configuration for the monitoring job.
createModelQualityJobDefinition_stoppingCondition :: Lens' CreateModelQualityJobDefinition (Maybe MonitoringStoppingCondition) Source #
Undocumented member.
createModelQualityJobDefinition_tags :: Lens' CreateModelQualityJobDefinition (Maybe [Tag]) Source #
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
createModelQualityJobDefinition_jobDefinitionName :: Lens' CreateModelQualityJobDefinition Text Source #
The name of the monitoring job definition.
createModelQualityJobDefinition_modelQualityAppSpecification :: Lens' CreateModelQualityJobDefinition ModelQualityAppSpecification Source #
The container that runs the monitoring job.
createModelQualityJobDefinition_modelQualityJobInput :: Lens' CreateModelQualityJobDefinition ModelQualityJobInput Source #
A list of the inputs that are monitored. Currently endpoints are supported.
createModelQualityJobDefinition_modelQualityJobOutputConfig :: Lens' CreateModelQualityJobDefinition MonitoringOutputConfig Source #
Undocumented member.
createModelQualityJobDefinition_jobResources :: Lens' CreateModelQualityJobDefinition MonitoringResources Source #
Undocumented member.
createModelQualityJobDefinition_roleArn :: Lens' CreateModelQualityJobDefinition Text Source #
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
createModelQualityJobDefinitionResponse_httpStatus :: Lens' CreateModelQualityJobDefinitionResponse Int Source #
The response's http status code.
createModelQualityJobDefinitionResponse_jobDefinitionArn :: Lens' CreateModelQualityJobDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the model quality monitoring job.
CreateMonitoringSchedule
createMonitoringSchedule_tags :: Lens' CreateMonitoringSchedule (Maybe [Tag]) Source #
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
createMonitoringSchedule_monitoringScheduleName :: Lens' CreateMonitoringSchedule Text Source #
The name of the monitoring schedule. The name must be unique within an Amazon Web Services Region within an Amazon Web Services account.
createMonitoringSchedule_monitoringScheduleConfig :: Lens' CreateMonitoringSchedule MonitoringScheduleConfig Source #
The configuration object that specifies the monitoring schedule and defines the monitoring job.
createMonitoringScheduleResponse_httpStatus :: Lens' CreateMonitoringScheduleResponse Int Source #
The response's http status code.
createMonitoringScheduleResponse_monitoringScheduleArn :: Lens' CreateMonitoringScheduleResponse Text Source #
The Amazon Resource Name (ARN) of the monitoring schedule.
CreateNotebookInstance
createNotebookInstance_acceleratorTypes :: Lens' CreateNotebookInstance (Maybe [NotebookInstanceAcceleratorType]) Source #
A list of Elastic Inference (EI) instance types to associate with this notebook instance. Currently, only one instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker.
createNotebookInstance_additionalCodeRepositories :: Lens' CreateNotebookInstance (Maybe [Text]) Source #
An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker Notebook Instances.
createNotebookInstance_defaultCodeRepository :: Lens' CreateNotebookInstance (Maybe Text) Source #
A Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker Notebook Instances.
createNotebookInstance_directInternetAccess :: Lens' CreateNotebookInstance (Maybe DirectInternetAccess) Source #
Sets whether SageMaker provides internet access to the notebook
instance. If you set this to Disabled
this notebook instance is able
to access resources only in your VPC, and is not be able to connect to
SageMaker training and endpoint services unless you configure a NAT
Gateway in your VPC.
For more information, see
Notebook Instances Are Internet-Enabled by Default.
You can set the value of this parameter to Disabled
only if you set a
value for the SubnetId
parameter.
createNotebookInstance_instanceMetadataServiceConfiguration :: Lens' CreateNotebookInstance (Maybe InstanceMetadataServiceConfiguration) Source #
Information on the IMDS configuration of the notebook instance
createNotebookInstance_kmsKeyId :: Lens' CreateNotebookInstance (Maybe Text) Source #
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to your notebook instance. The KMS key you provide must be enabled. For information, see Enabling and Disabling Keys in the Amazon Web Services Key Management Service Developer Guide.
createNotebookInstance_lifecycleConfigName :: Lens' CreateNotebookInstance (Maybe Text) Source #
The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
createNotebookInstance_platformIdentifier :: Lens' CreateNotebookInstance (Maybe Text) Source #
The platform identifier of the notebook instance runtime environment.
createNotebookInstance_rootAccess :: Lens' CreateNotebookInstance (Maybe RootAccess) Source #
Whether root access is enabled or disabled for users of the notebook
instance. The default value is Enabled
.
Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
createNotebookInstance_securityGroupIds :: Lens' CreateNotebookInstance (Maybe [Text]) Source #
The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
createNotebookInstance_subnetId :: Lens' CreateNotebookInstance (Maybe Text) Source #
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
createNotebookInstance_tags :: Lens' CreateNotebookInstance (Maybe [Tag]) Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
createNotebookInstance_volumeSizeInGB :: Lens' CreateNotebookInstance (Maybe Natural) Source #
The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB.
createNotebookInstance_notebookInstanceName :: Lens' CreateNotebookInstance Text Source #
The name of the new notebook instance.
createNotebookInstance_instanceType :: Lens' CreateNotebookInstance InstanceType Source #
The type of ML compute instance to launch for the notebook instance.
createNotebookInstance_roleArn :: Lens' CreateNotebookInstance Text Source #
When you send any requests to Amazon Web Services resources from the notebook instance, SageMaker assumes this role to perform tasks on your behalf. You must grant this role necessary permissions so SageMaker can perform these tasks. The policy must allow the SageMaker service principal (sagemaker.amazonaws.com) permissions to assume this role. For more information, see SageMaker Roles.
To be able to pass this role to SageMaker, the caller of this API must
have the iam:PassRole
permission.
createNotebookInstanceResponse_notebookInstanceArn :: Lens' CreateNotebookInstanceResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the notebook instance.
createNotebookInstanceResponse_httpStatus :: Lens' CreateNotebookInstanceResponse Int Source #
The response's http status code.
CreateNotebookInstanceLifecycleConfig
createNotebookInstanceLifecycleConfig_onCreate :: Lens' CreateNotebookInstanceLifecycleConfig (Maybe [NotebookInstanceLifecycleHook]) Source #
A shell script that runs only once, when you create a notebook instance. The shell script must be a base64-encoded string.
createNotebookInstanceLifecycleConfig_onStart :: Lens' CreateNotebookInstanceLifecycleConfig (Maybe [NotebookInstanceLifecycleHook]) Source #
A shell script that runs every time you start a notebook instance, including when you create the notebook instance. The shell script must be a base64-encoded string.
createNotebookInstanceLifecycleConfig_notebookInstanceLifecycleConfigName :: Lens' CreateNotebookInstanceLifecycleConfig Text Source #
The name of the lifecycle configuration.
createNotebookInstanceLifecycleConfigResponse_notebookInstanceLifecycleConfigArn :: Lens' CreateNotebookInstanceLifecycleConfigResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the lifecycle configuration.
createNotebookInstanceLifecycleConfigResponse_httpStatus :: Lens' CreateNotebookInstanceLifecycleConfigResponse Int Source #
The response's http status code.
CreatePipeline
createPipeline_parallelismConfiguration :: Lens' CreatePipeline (Maybe ParallelismConfiguration) Source #
This is the configuration that controls the parallelism of the pipeline. If specified, it applies to all runs of this pipeline by default.
createPipeline_pipelineDefinition :: Lens' CreatePipeline (Maybe Text) Source #
The JSON pipeline definition of the pipeline.
createPipeline_pipelineDefinitionS3Location :: Lens' CreatePipeline (Maybe PipelineDefinitionS3Location) Source #
The location of the pipeline definition stored in Amazon S3. If specified, SageMaker will retrieve the pipeline definition from this location.
createPipeline_pipelineDescription :: Lens' CreatePipeline (Maybe Text) Source #
A description of the pipeline.
createPipeline_pipelineDisplayName :: Lens' CreatePipeline (Maybe Text) Source #
The display name of the pipeline.
createPipeline_tags :: Lens' CreatePipeline (Maybe [Tag]) Source #
A list of tags to apply to the created pipeline.
createPipeline_pipelineName :: Lens' CreatePipeline Text Source #
The name of the pipeline.
createPipeline_clientRequestToken :: Lens' CreatePipeline Text Source #
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.
createPipeline_roleArn :: Lens' CreatePipeline Text Source #
The Amazon Resource Name (ARN) of the role used by the pipeline to access and create resources.
createPipelineResponse_pipelineArn :: Lens' CreatePipelineResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the created pipeline.
createPipelineResponse_httpStatus :: Lens' CreatePipelineResponse Int Source #
The response's http status code.
CreatePresignedDomainUrl
createPresignedDomainUrl_expiresInSeconds :: Lens' CreatePresignedDomainUrl (Maybe Natural) Source #
The number of seconds until the pre-signed URL expires. This value defaults to 300.
createPresignedDomainUrl_sessionExpirationDurationInSeconds :: Lens' CreatePresignedDomainUrl (Maybe Natural) Source #
The session expiration duration in seconds. This value defaults to 43200.
createPresignedDomainUrl_spaceName :: Lens' CreatePresignedDomainUrl (Maybe Text) Source #
The name of the space.
createPresignedDomainUrl_domainId :: Lens' CreatePresignedDomainUrl Text Source #
The domain ID.
createPresignedDomainUrl_userProfileName :: Lens' CreatePresignedDomainUrl Text Source #
The name of the UserProfile to sign-in as.
createPresignedDomainUrlResponse_authorizedUrl :: Lens' CreatePresignedDomainUrlResponse (Maybe Text) Source #
The presigned URL.
createPresignedDomainUrlResponse_httpStatus :: Lens' CreatePresignedDomainUrlResponse Int Source #
The response's http status code.
CreatePresignedNotebookInstanceUrl
createPresignedNotebookInstanceUrl_sessionExpirationDurationInSeconds :: Lens' CreatePresignedNotebookInstanceUrl (Maybe Natural) Source #
The duration of the session, in seconds. The default is 12 hours.
createPresignedNotebookInstanceUrl_notebookInstanceName :: Lens' CreatePresignedNotebookInstanceUrl Text Source #
The name of the notebook instance.
createPresignedNotebookInstanceUrlResponse_authorizedUrl :: Lens' CreatePresignedNotebookInstanceUrlResponse (Maybe Text) Source #
A JSON object that contains the URL string.
createPresignedNotebookInstanceUrlResponse_httpStatus :: Lens' CreatePresignedNotebookInstanceUrlResponse Int Source #
The response's http status code.
CreateProcessingJob
createProcessingJob_environment :: Lens' CreateProcessingJob (Maybe (HashMap Text Text)) Source #
The environment variables to set in the Docker container. Up to 100 key and values entries in the map are supported.
createProcessingJob_experimentConfig :: Lens' CreateProcessingJob (Maybe ExperimentConfig) Source #
Undocumented member.
createProcessingJob_networkConfig :: Lens' CreateProcessingJob (Maybe NetworkConfig) Source #
Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.
createProcessingJob_processingInputs :: Lens' CreateProcessingJob (Maybe [ProcessingInput]) Source #
An array of inputs configuring the data to download into the processing container.
createProcessingJob_processingOutputConfig :: Lens' CreateProcessingJob (Maybe ProcessingOutputConfig) Source #
Output configuration for the processing job.
createProcessingJob_stoppingCondition :: Lens' CreateProcessingJob (Maybe ProcessingStoppingCondition) Source #
The time limit for how long the processing job is allowed to run.
createProcessingJob_tags :: Lens' CreateProcessingJob (Maybe [Tag]) Source #
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
createProcessingJob_processingJobName :: Lens' CreateProcessingJob Text Source #
The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
createProcessingJob_processingResources :: Lens' CreateProcessingJob ProcessingResources Source #
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.
createProcessingJob_appSpecification :: Lens' CreateProcessingJob AppSpecification Source #
Configures the processing job to run a specified Docker container image.
createProcessingJob_roleArn :: Lens' CreateProcessingJob Text Source #
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
createProcessingJobResponse_httpStatus :: Lens' CreateProcessingJobResponse Int Source #
The response's http status code.
createProcessingJobResponse_processingJobArn :: Lens' CreateProcessingJobResponse Text Source #
The Amazon Resource Name (ARN) of the processing job.
CreateProject
createProject_projectDescription :: Lens' CreateProject (Maybe Text) Source #
A description for the project.
createProject_tags :: Lens' CreateProject (Maybe [Tag]) Source #
An array of key-value pairs that you want to use to organize and track your Amazon Web Services resource costs. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
createProject_projectName :: Lens' CreateProject Text Source #
The name of the project.
createProject_serviceCatalogProvisioningDetails :: Lens' CreateProject ServiceCatalogProvisioningDetails Source #
The product ID and provisioning artifact ID to provision a service catalog. The provisioning artifact ID will default to the latest provisioning artifact ID of the product, if you don't provide the provisioning artifact ID. For more information, see What is Amazon Web Services Service Catalog.
createProjectResponse_httpStatus :: Lens' CreateProjectResponse Int Source #
The response's http status code.
createProjectResponse_projectArn :: Lens' CreateProjectResponse Text Source #
The Amazon Resource Name (ARN) of the project.
createProjectResponse_projectId :: Lens' CreateProjectResponse Text Source #
The ID of the new project.
CreateSpace
createSpace_spaceSettings :: Lens' CreateSpace (Maybe SpaceSettings) Source #
A collection of space settings.
createSpace_tags :: Lens' CreateSpace (Maybe [Tag]) Source #
Tags to associated with the space. Each tag consists of a key and an
optional value. Tag keys must be unique for each resource. Tags are
searchable using the Search
API.
createSpace_domainId :: Lens' CreateSpace Text Source #
The ID of the associated Domain.
createSpace_spaceName :: Lens' CreateSpace Text Source #
The name of the space.
createSpaceResponse_spaceArn :: Lens' CreateSpaceResponse (Maybe Text) Source #
The space's Amazon Resource Name (ARN).
createSpaceResponse_httpStatus :: Lens' CreateSpaceResponse Int Source #
The response's http status code.
CreateStudioLifecycleConfig
createStudioLifecycleConfig_tags :: Lens' CreateStudioLifecycleConfig (Maybe [Tag]) Source #
Tags to be associated with the Lifecycle Configuration. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API.
createStudioLifecycleConfig_studioLifecycleConfigName :: Lens' CreateStudioLifecycleConfig Text Source #
The name of the Studio Lifecycle Configuration to create.
createStudioLifecycleConfig_studioLifecycleConfigContent :: Lens' CreateStudioLifecycleConfig Text Source #
The content of your Studio Lifecycle Configuration script. This content must be base64 encoded.
createStudioLifecycleConfig_studioLifecycleConfigAppType :: Lens' CreateStudioLifecycleConfig StudioLifecycleConfigAppType Source #
The App type that the Lifecycle Configuration is attached to.
createStudioLifecycleConfigResponse_studioLifecycleConfigArn :: Lens' CreateStudioLifecycleConfigResponse (Maybe Text) Source #
The ARN of your created Lifecycle Configuration.
createStudioLifecycleConfigResponse_httpStatus :: Lens' CreateStudioLifecycleConfigResponse Int Source #
The response's http status code.
CreateTrainingJob
createTrainingJob_checkpointConfig :: Lens' CreateTrainingJob (Maybe CheckpointConfig) Source #
Contains information about the output location for managed spot training checkpoint data.
createTrainingJob_debugHookConfig :: Lens' CreateTrainingJob (Maybe DebugHookConfig) Source #
Undocumented member.
createTrainingJob_debugRuleConfigurations :: Lens' CreateTrainingJob (Maybe [DebugRuleConfiguration]) Source #
Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
createTrainingJob_enableInterContainerTrafficEncryption :: Lens' CreateTrainingJob (Maybe Bool) Source #
To encrypt all communications between ML compute instances in
distributed training, choose True
. Encryption provides greater
security for distributed training, but training might take longer. How
long it takes depends on the amount of communication between compute
instances, especially if you use a deep learning algorithm in
distributed training. For more information, see
Protect Communications Between ML Compute Instances in a Distributed Training Job.
createTrainingJob_enableManagedSpotTraining :: Lens' CreateTrainingJob (Maybe Bool) Source #
To train models using managed spot training, choose True
. Managed spot
training provides a fully managed and scalable infrastructure for
training machine learning models. this option is useful when training
jobs can be interrupted and when there is flexibility when the training
job is run.
The complete and intermediate results of jobs are stored in an Amazon S3 bucket, and can be used as a starting point to train models incrementally. Amazon SageMaker provides metrics and logs in CloudWatch. They can be used to see when managed spot training jobs are running, interrupted, resumed, or completed.
createTrainingJob_enableNetworkIsolation :: Lens' CreateTrainingJob (Maybe Bool) Source #
Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If you enable network isolation for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
createTrainingJob_environment :: Lens' CreateTrainingJob (Maybe (HashMap Text Text)) Source #
The environment variables to set in the Docker container.
createTrainingJob_experimentConfig :: Lens' CreateTrainingJob (Maybe ExperimentConfig) Source #
Undocumented member.
createTrainingJob_hyperParameters :: Lens' CreateTrainingJob (Maybe (HashMap Text Text)) Source #
Algorithm-specific parameters that influence the quality of the model. You set hyperparameters before you start the learning process. For a list of hyperparameters for each training algorithm provided by SageMaker, see Algorithms.
You can specify a maximum of 100 hyperparameters. Each hyperparameter is
a key-value pair. Each key and value is limited to 256 characters, as
specified by the Length Constraint
.
Do not include any security-sensitive information including account access IDs, secrets or tokens in any hyperparameter field. If the use of security-sensitive credentials are detected, SageMaker will reject your training job request and return an exception error.
createTrainingJob_inputDataConfig :: Lens' CreateTrainingJob (Maybe (NonEmpty Channel)) Source #
An array of Channel
objects. Each channel is a named input source.
InputDataConfig
describes the input data and its location.
Algorithms can accept input data from one or more channels. For example,
an algorithm might have two channels of input data, training_data
and
validation_data
. The configuration for each channel provides the S3,
EFS, or FSx location where the input data is stored. It also provides
information about the stored data: the MIME type, compression method,
and whether the data is wrapped in RecordIO format.
Depending on the input mode that the algorithm supports, SageMaker either copies input data files from an S3 bucket to a local directory in the Docker container, or makes it available as input streams. For example, if you specify an EFS location, input data files are available as input streams. They do not need to be downloaded.
createTrainingJob_profilerConfig :: Lens' CreateTrainingJob (Maybe ProfilerConfig) Source #
Undocumented member.
createTrainingJob_profilerRuleConfigurations :: Lens' CreateTrainingJob (Maybe [ProfilerRuleConfiguration]) Source #
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
createTrainingJob_retryStrategy :: Lens' CreateTrainingJob (Maybe RetryStrategy) Source #
The number of times to retry the job when the job fails due to an
InternalServerError
.
createTrainingJob_tags :: Lens' CreateTrainingJob (Maybe [Tag]) Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
createTrainingJob_tensorBoardOutputConfig :: Lens' CreateTrainingJob (Maybe TensorBoardOutputConfig) Source #
Undocumented member.
createTrainingJob_vpcConfig :: Lens' CreateTrainingJob (Maybe VpcConfig) Source #
A VpcConfig object that specifies the VPC that you want your training job to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
createTrainingJob_trainingJobName :: Lens' CreateTrainingJob Text Source #
The name of the training job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
createTrainingJob_algorithmSpecification :: Lens' CreateTrainingJob AlgorithmSpecification Source #
The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata, including the input mode. For more information about algorithms provided by SageMaker, see Algorithms. For information about providing your own algorithms, see Using Your Own Algorithms with Amazon SageMaker.
createTrainingJob_roleArn :: Lens' CreateTrainingJob Text Source #
The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf.
During model training, SageMaker needs your permission to read input data from an S3 bucket, download a Docker image that contains training code, write model artifacts to an S3 bucket, write logs to Amazon CloudWatch Logs, and publish metrics to Amazon CloudWatch. You grant permissions for all of these tasks to an IAM role. For more information, see SageMaker Roles.
To be able to pass this role to SageMaker, the caller of this API must
have the iam:PassRole
permission.
createTrainingJob_outputDataConfig :: Lens' CreateTrainingJob OutputDataConfig Source #
Specifies the path to the S3 location where you want to store model artifacts. SageMaker creates subfolders for the artifacts.
createTrainingJob_resourceConfig :: Lens' CreateTrainingJob ResourceConfig Source #
The resources, including the ML compute instances and ML storage volumes, to use for model training.
ML storage volumes store model artifacts and incremental states.
Training algorithms might also use ML storage volumes for scratch space.
If you want SageMaker to use the ML storage volume to store the training
data, choose File
as the TrainingInputMode
in the algorithm
specification. For distributed training algorithms, specify an instance
count greater than 1.
createTrainingJob_stoppingCondition :: Lens' CreateTrainingJob StoppingCondition Source #
Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, SageMaker sends the algorithm the SIGTERM
signal, which
delays job termination for 120 seconds. Algorithms can use this
120-second window to save the model artifacts, so the results of
training are not lost.
createTrainingJobResponse_httpStatus :: Lens' CreateTrainingJobResponse Int Source #
The response's http status code.
createTrainingJobResponse_trainingJobArn :: Lens' CreateTrainingJobResponse Text Source #
The Amazon Resource Name (ARN) of the training job.
CreateTransformJob
createTransformJob_batchStrategy :: Lens' CreateTransformJob (Maybe BatchStrategy) Source #
Specifies the number of records to include in a mini-batch for an HTTP inference request. A record // is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
To enable the batch strategy, you must set the SplitType
property to
Line
, RecordIO
, or TFRecord
.
To use only one record when making an HTTP invocation request to a
container, set BatchStrategy
to SingleRecord
and SplitType
to
Line
.
To fit as many records in a mini-batch as can fit within the
MaxPayloadInMB
limit, set BatchStrategy
to MultiRecord
and
SplitType
to Line
.
createTransformJob_dataCaptureConfig :: Lens' CreateTransformJob (Maybe BatchDataCaptureConfig) Source #
Configuration to control how SageMaker captures inference data.
createTransformJob_dataProcessing :: Lens' CreateTransformJob (Maybe DataProcessing) Source #
The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.
createTransformJob_environment :: Lens' CreateTransformJob (Maybe (HashMap Text Text)) Source #
The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
createTransformJob_experimentConfig :: Lens' CreateTransformJob (Maybe ExperimentConfig) Source #
Undocumented member.
createTransformJob_maxConcurrentTransforms :: Lens' CreateTransformJob (Maybe Natural) Source #
The maximum number of parallel requests that can be sent to each
instance in a transform job. If MaxConcurrentTransforms
is set to 0
or left unset, Amazon SageMaker checks the optional execution-parameters
to determine the settings for your chosen algorithm. If the
execution-parameters endpoint is not enabled, the default value is 1
.
For more information on execution-parameters, see
How Containers Serve Requests.
For built-in algorithms, you don't need to set a value for
MaxConcurrentTransforms
.
createTransformJob_maxPayloadInMB :: Lens' CreateTransformJob (Maybe Natural) Source #
The maximum allowed size of the payload, in MB. A payload is the data
portion of a record (without metadata). The value in MaxPayloadInMB
must be greater than, or equal to, the size of a single record. To
estimate the size of a record in MB, divide the size of your dataset by
the number of records. To ensure that the records fit within the maximum
payload size, we recommend using a slightly larger value. The default
value is 6
MB.
The value of MaxPayloadInMB
cannot be greater than 100 MB. If you
specify the MaxConcurrentTransforms
parameter, the value of
(MaxConcurrentTransforms * MaxPayloadInMB)
also cannot exceed 100 MB.
For cases where the payload might be arbitrarily large and is
transmitted using HTTP chunked encoding, set the value to 0
. This
feature works only in supported algorithms. Currently, Amazon SageMaker
built-in algorithms do not support HTTP chunked encoding.
createTransformJob_modelClientConfig :: Lens' CreateTransformJob (Maybe ModelClientConfig) Source #
Configures the timeout and maximum number of retries for processing a transform job invocation.
createTransformJob_tags :: Lens' CreateTransformJob (Maybe [Tag]) Source #
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
createTransformJob_transformJobName :: Lens' CreateTransformJob Text Source #
The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
createTransformJob_modelName :: Lens' CreateTransformJob Text Source #
The name of the model that you want to use for the transform job.
ModelName
must be the name of an existing Amazon SageMaker model
within an Amazon Web Services Region in an Amazon Web Services account.
createTransformJob_transformInput :: Lens' CreateTransformJob TransformInput Source #
Describes the input source and the way the transform job consumes it.
createTransformJob_transformOutput :: Lens' CreateTransformJob TransformOutput Source #
Describes the results of the transform job.
createTransformJob_transformResources :: Lens' CreateTransformJob TransformResources Source #
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
createTransformJobResponse_httpStatus :: Lens' CreateTransformJobResponse Int Source #
The response's http status code.
createTransformJobResponse_transformJobArn :: Lens' CreateTransformJobResponse Text Source #
The Amazon Resource Name (ARN) of the transform job.
CreateTrial
createTrial_displayName :: Lens' CreateTrial (Maybe Text) Source #
The name of the trial as displayed. The name doesn't need to be unique.
If DisplayName
isn't specified, TrialName
is displayed.
createTrial_metadataProperties :: Lens' CreateTrial (Maybe MetadataProperties) Source #
Undocumented member.
createTrial_tags :: Lens' CreateTrial (Maybe [Tag]) Source #
A list of tags to associate with the trial. You can use Search API to search on the tags.
createTrial_trialName :: Lens' CreateTrial Text Source #
The name of the trial. The name must be unique in your Amazon Web Services account and is not case-sensitive.
createTrial_experimentName :: Lens' CreateTrial Text Source #
The name of the experiment to associate the trial with.
createTrialResponse_trialArn :: Lens' CreateTrialResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial.
createTrialResponse_httpStatus :: Lens' CreateTrialResponse Int Source #
The response's http status code.
CreateTrialComponent
createTrialComponent_displayName :: Lens' CreateTrialComponent (Maybe Text) Source #
The name of the component as displayed. The name doesn't need to be
unique. If DisplayName
isn't specified, TrialComponentName
is
displayed.
createTrialComponent_endTime :: Lens' CreateTrialComponent (Maybe UTCTime) Source #
When the component ended.
createTrialComponent_inputArtifacts :: Lens' CreateTrialComponent (Maybe (HashMap Text TrialComponentArtifact)) Source #
The input artifacts for the component. Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types.
createTrialComponent_metadataProperties :: Lens' CreateTrialComponent (Maybe MetadataProperties) Source #
Undocumented member.
createTrialComponent_outputArtifacts :: Lens' CreateTrialComponent (Maybe (HashMap Text TrialComponentArtifact)) Source #
The output artifacts for the component. Examples of output artifacts are metrics, snapshots, logs, and images.
createTrialComponent_parameters :: Lens' CreateTrialComponent (Maybe (HashMap Text TrialComponentParameterValue)) Source #
The hyperparameters for the component.
createTrialComponent_startTime :: Lens' CreateTrialComponent (Maybe UTCTime) Source #
When the component started.
createTrialComponent_status :: Lens' CreateTrialComponent (Maybe TrialComponentStatus) Source #
The status of the component. States include:
- InProgress
- Completed
- Failed
createTrialComponent_tags :: Lens' CreateTrialComponent (Maybe [Tag]) Source #
A list of tags to associate with the component. You can use Search API to search on the tags.
createTrialComponent_trialComponentName :: Lens' CreateTrialComponent Text Source #
The name of the component. The name must be unique in your Amazon Web Services account and is not case-sensitive.
createTrialComponentResponse_trialComponentArn :: Lens' CreateTrialComponentResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial component.
createTrialComponentResponse_httpStatus :: Lens' CreateTrialComponentResponse Int Source #
The response's http status code.
CreateUserProfile
createUserProfile_singleSignOnUserIdentifier :: Lens' CreateUserProfile (Maybe Text) Source #
A specifier for the type of value specified in SingleSignOnUserValue. Currently, the only supported value is "UserName". If the Domain's AuthMode is IAM Identity Center, this field is required. If the Domain's AuthMode is not IAM Identity Center, this field cannot be specified.
createUserProfile_singleSignOnUserValue :: Lens' CreateUserProfile (Maybe Text) Source #
The username of the associated Amazon Web Services Single Sign-On User for this UserProfile. If the Domain's AuthMode is IAM Identity Center, this field is required, and must match a valid username of a user in your directory. If the Domain's AuthMode is not IAM Identity Center, this field cannot be specified.
createUserProfile_tags :: Lens' CreateUserProfile (Maybe [Tag]) Source #
Each tag consists of a key and an optional value. Tag keys must be unique per resource.
Tags that you specify for the User Profile are also added to all Apps that the User Profile launches.
createUserProfile_userSettings :: Lens' CreateUserProfile (Maybe UserSettings) Source #
A collection of settings.
createUserProfile_domainId :: Lens' CreateUserProfile Text Source #
The ID of the associated Domain.
createUserProfile_userProfileName :: Lens' CreateUserProfile Text Source #
A name for the UserProfile. This value is not case sensitive.
createUserProfileResponse_userProfileArn :: Lens' CreateUserProfileResponse (Maybe Text) Source #
The user profile Amazon Resource Name (ARN).
createUserProfileResponse_httpStatus :: Lens' CreateUserProfileResponse Int Source #
The response's http status code.
CreateWorkforce
createWorkforce_cognitoConfig :: Lens' CreateWorkforce (Maybe CognitoConfig) Source #
Use this parameter to configure an Amazon Cognito private workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.
Do not use OidcConfig
if you specify values for CognitoConfig
.
createWorkforce_oidcConfig :: Lens' CreateWorkforce (Maybe OidcConfig) Source #
Use this parameter to configure a private workforce using your own OIDC Identity Provider.
Do not use CognitoConfig
if you specify values for OidcConfig
.
createWorkforce_sourceIpConfig :: Lens' CreateWorkforce (Maybe SourceIpConfig) Source #
Undocumented member.
createWorkforce_tags :: Lens' CreateWorkforce (Maybe [Tag]) Source #
An array of key-value pairs that contain metadata to help you categorize and organize our workforce. Each tag consists of a key and a value, both of which you define.
createWorkforce_workforceVpcConfig :: Lens' CreateWorkforce (Maybe WorkforceVpcConfigRequest) Source #
Use this parameter to configure a workforce using VPC.
createWorkforce_workforceName :: Lens' CreateWorkforce Text Source #
The name of the private workforce.
createWorkforceResponse_httpStatus :: Lens' CreateWorkforceResponse Int Source #
The response's http status code.
createWorkforceResponse_workforceArn :: Lens' CreateWorkforceResponse Text Source #
The Amazon Resource Name (ARN) of the workforce.
CreateWorkteam
createWorkteam_notificationConfiguration :: Lens' CreateWorkteam (Maybe NotificationConfiguration) Source #
Configures notification of workers regarding available or expiring work items.
createWorkteam_tags :: Lens' CreateWorkteam (Maybe [Tag]) Source #
An array of key-value pairs.
For more information, see Resource Tag and Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
createWorkteam_workforceName :: Lens' CreateWorkteam (Maybe Text) Source #
The name of the workforce.
createWorkteam_workteamName :: Lens' CreateWorkteam Text Source #
The name of the work team. Use this name to identify the work team.
createWorkteam_memberDefinitions :: Lens' CreateWorkteam (NonEmpty MemberDefinition) Source #
A list of MemberDefinition
objects that contains objects that identify
the workers that make up the work team.
Workforces can be created using Amazon Cognito or your own OIDC Identity
Provider (IdP). For private workforces created using Amazon Cognito use
CognitoMemberDefinition
. For workforces created using your own OIDC
identity provider (IdP) use OidcMemberDefinition
. Do not provide input
for both of these parameters in a single request.
For workforces created using Amazon Cognito, private work teams
correspond to Amazon Cognito user groups within the user pool used to
create a workforce. All of the CognitoMemberDefinition
objects that
make up the member definition must have the same ClientId
and
UserPool
values. To add a Amazon Cognito user group to an existing
worker pool, see groups to a User Pool. For more information
about user pools, see
Amazon Cognito User Pools.
For workforces created using your own OIDC IdP, specify the user groups
that you want to include in your private work team in
OidcMemberDefinition
by listing those groups in Groups
.
createWorkteam_description :: Lens' CreateWorkteam Text Source #
A description of the work team.
createWorkteamResponse_workteamArn :: Lens' CreateWorkteamResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the work team. You can use this ARN to identify the work team.
createWorkteamResponse_httpStatus :: Lens' CreateWorkteamResponse Int Source #
The response's http status code.
DeleteAction
deleteAction_actionName :: Lens' DeleteAction Text Source #
The name of the action to delete.
deleteActionResponse_actionArn :: Lens' DeleteActionResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the action.
deleteActionResponse_httpStatus :: Lens' DeleteActionResponse Int Source #
The response's http status code.
DeleteAlgorithm
deleteAlgorithm_algorithmName :: Lens' DeleteAlgorithm Text Source #
The name of the algorithm to delete.
DeleteApp
deleteApp_spaceName :: Lens' DeleteApp (Maybe Text) Source #
The name of the space. If this value is not set, then UserProfileName
must be set.
deleteApp_userProfileName :: Lens' DeleteApp (Maybe Text) Source #
The user profile name. If this value is not set, then SpaceName
must
be set.
DeleteAppImageConfig
deleteAppImageConfig_appImageConfigName :: Lens' DeleteAppImageConfig Text Source #
The name of the AppImageConfig to delete.
DeleteArtifact
deleteArtifact_artifactArn :: Lens' DeleteArtifact (Maybe Text) Source #
The Amazon Resource Name (ARN) of the artifact to delete.
deleteArtifact_source :: Lens' DeleteArtifact (Maybe ArtifactSource) Source #
The URI of the source.
deleteArtifactResponse_artifactArn :: Lens' DeleteArtifactResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the artifact.
deleteArtifactResponse_httpStatus :: Lens' DeleteArtifactResponse Int Source #
The response's http status code.
DeleteAssociation
deleteAssociation_sourceArn :: Lens' DeleteAssociation Text Source #
The ARN of the source.
deleteAssociation_destinationArn :: Lens' DeleteAssociation Text Source #
The Amazon Resource Name (ARN) of the destination.
deleteAssociationResponse_destinationArn :: Lens' DeleteAssociationResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the destination.
deleteAssociationResponse_sourceArn :: Lens' DeleteAssociationResponse (Maybe Text) Source #
The ARN of the source.
deleteAssociationResponse_httpStatus :: Lens' DeleteAssociationResponse Int Source #
The response's http status code.
DeleteCodeRepository
deleteCodeRepository_codeRepositoryName :: Lens' DeleteCodeRepository Text Source #
The name of the Git repository to delete.
DeleteContext
deleteContext_contextName :: Lens' DeleteContext Text Source #
The name of the context to delete.
deleteContextResponse_contextArn :: Lens' DeleteContextResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the context.
deleteContextResponse_httpStatus :: Lens' DeleteContextResponse Int Source #
The response's http status code.
DeleteDataQualityJobDefinition
deleteDataQualityJobDefinition_jobDefinitionName :: Lens' DeleteDataQualityJobDefinition Text Source #
The name of the data quality monitoring job definition to delete.
DeleteDeviceFleet
deleteDeviceFleet_deviceFleetName :: Lens' DeleteDeviceFleet Text Source #
The name of the fleet to delete.
DeleteDomain
deleteDomain_retentionPolicy :: Lens' DeleteDomain (Maybe RetentionPolicy) Source #
The retention policy for this domain, which specifies whether resources will be retained after the Domain is deleted. By default, all resources are retained (not automatically deleted).
deleteDomain_domainId :: Lens' DeleteDomain Text Source #
The domain ID.
DeleteEdgeDeploymentPlan
deleteEdgeDeploymentPlan_edgeDeploymentPlanName :: Lens' DeleteEdgeDeploymentPlan Text Source #
The name of the edge deployment plan to delete.
DeleteEdgeDeploymentStage
deleteEdgeDeploymentStage_edgeDeploymentPlanName :: Lens' DeleteEdgeDeploymentStage Text Source #
The name of the edge deployment plan from which the stage will be deleted.
deleteEdgeDeploymentStage_stageName :: Lens' DeleteEdgeDeploymentStage Text Source #
The name of the stage.
DeleteEndpoint
deleteEndpoint_endpointName :: Lens' DeleteEndpoint Text Source #
The name of the endpoint that you want to delete.
DeleteEndpointConfig
deleteEndpointConfig_endpointConfigName :: Lens' DeleteEndpointConfig Text Source #
The name of the endpoint configuration that you want to delete.
DeleteExperiment
deleteExperiment_experimentName :: Lens' DeleteExperiment Text Source #
The name of the experiment to delete.
deleteExperimentResponse_experimentArn :: Lens' DeleteExperimentResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the experiment that is being deleted.
deleteExperimentResponse_httpStatus :: Lens' DeleteExperimentResponse Int Source #
The response's http status code.
DeleteFeatureGroup
deleteFeatureGroup_featureGroupName :: Lens' DeleteFeatureGroup Text Source #
The name of the FeatureGroup
you want to delete. The name must be
unique within an Amazon Web Services Region in an Amazon Web Services
account.
DeleteFlowDefinition
deleteFlowDefinition_flowDefinitionName :: Lens' DeleteFlowDefinition Text Source #
The name of the flow definition you are deleting.
deleteFlowDefinitionResponse_httpStatus :: Lens' DeleteFlowDefinitionResponse Int Source #
The response's http status code.
DeleteHub
DeleteHubContent
deleteHubContent_hubName :: Lens' DeleteHubContent Text Source #
The name of the hub that you want to delete content in.
deleteHubContent_hubContentType :: Lens' DeleteHubContent HubContentType Source #
The type of content that you want to delete from a hub.
deleteHubContent_hubContentName :: Lens' DeleteHubContent Text Source #
The name of the content that you want to delete from a hub.
deleteHubContent_hubContentVersion :: Lens' DeleteHubContent Text Source #
The version of the content that you want to delete from a hub.
DeleteHumanTaskUi
deleteHumanTaskUi_humanTaskUiName :: Lens' DeleteHumanTaskUi Text Source #
The name of the human task user interface (work task template) you want to delete.
deleteHumanTaskUiResponse_httpStatus :: Lens' DeleteHumanTaskUiResponse Int Source #
The response's http status code.
DeleteImage
deleteImage_imageName :: Lens' DeleteImage Text Source #
The name of the image to delete.
deleteImageResponse_httpStatus :: Lens' DeleteImageResponse Int Source #
The response's http status code.
DeleteImageVersion
deleteImageVersion_alias :: Lens' DeleteImageVersion (Maybe Text) Source #
The alias of the image to delete.
deleteImageVersion_version :: Lens' DeleteImageVersion (Maybe Natural) Source #
The version to delete.
deleteImageVersion_imageName :: Lens' DeleteImageVersion Text Source #
The name of the image to delete.
deleteImageVersionResponse_httpStatus :: Lens' DeleteImageVersionResponse Int Source #
The response's http status code.
DeleteInferenceExperiment
deleteInferenceExperiment_name :: Lens' DeleteInferenceExperiment Text Source #
The name of the inference experiment you want to delete.
deleteInferenceExperimentResponse_httpStatus :: Lens' DeleteInferenceExperimentResponse Int Source #
The response's http status code.
deleteInferenceExperimentResponse_inferenceExperimentArn :: Lens' DeleteInferenceExperimentResponse Text Source #
The ARN of the deleted inference experiment.
DeleteModel
deleteModel_modelName :: Lens' DeleteModel Text Source #
The name of the model to delete.
DeleteModelBiasJobDefinition
deleteModelBiasJobDefinition_jobDefinitionName :: Lens' DeleteModelBiasJobDefinition Text Source #
The name of the model bias job definition to delete.
DeleteModelCard
deleteModelCard_modelCardName :: Lens' DeleteModelCard Text Source #
The name of the model card to delete.
DeleteModelExplainabilityJobDefinition
deleteModelExplainabilityJobDefinition_jobDefinitionName :: Lens' DeleteModelExplainabilityJobDefinition Text Source #
The name of the model explainability job definition to delete.
DeleteModelPackage
deleteModelPackage_modelPackageName :: Lens' DeleteModelPackage Text Source #
The name or Amazon Resource Name (ARN) of the model package to delete.
When you specify a name, the name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
DeleteModelPackageGroup
deleteModelPackageGroup_modelPackageGroupName :: Lens' DeleteModelPackageGroup Text Source #
The name of the model group to delete.
DeleteModelPackageGroupPolicy
deleteModelPackageGroupPolicy_modelPackageGroupName :: Lens' DeleteModelPackageGroupPolicy Text Source #
The name of the model group for which to delete the policy.
DeleteModelQualityJobDefinition
deleteModelQualityJobDefinition_jobDefinitionName :: Lens' DeleteModelQualityJobDefinition Text Source #
The name of the model quality monitoring job definition to delete.
DeleteMonitoringSchedule
deleteMonitoringSchedule_monitoringScheduleName :: Lens' DeleteMonitoringSchedule Text Source #
The name of the monitoring schedule to delete.
DeleteNotebookInstance
deleteNotebookInstance_notebookInstanceName :: Lens' DeleteNotebookInstance Text Source #
The name of the SageMaker notebook instance to delete.
DeleteNotebookInstanceLifecycleConfig
deleteNotebookInstanceLifecycleConfig_notebookInstanceLifecycleConfigName :: Lens' DeleteNotebookInstanceLifecycleConfig Text Source #
The name of the lifecycle configuration to delete.
DeletePipeline
deletePipeline_pipelineName :: Lens' DeletePipeline Text Source #
The name of the pipeline to delete.
deletePipeline_clientRequestToken :: Lens' DeletePipeline Text Source #
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.
deletePipelineResponse_pipelineArn :: Lens' DeletePipelineResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline to delete.
deletePipelineResponse_httpStatus :: Lens' DeletePipelineResponse Int Source #
The response's http status code.
DeleteProject
deleteProject_projectName :: Lens' DeleteProject Text Source #
The name of the project to delete.
DeleteSpace
deleteSpace_domainId :: Lens' DeleteSpace Text Source #
The ID of the associated Domain.
deleteSpace_spaceName :: Lens' DeleteSpace Text Source #
The name of the space.
DeleteStudioLifecycleConfig
deleteStudioLifecycleConfig_studioLifecycleConfigName :: Lens' DeleteStudioLifecycleConfig Text Source #
The name of the Studio Lifecycle Configuration to delete.
DeleteTags
deleteTags_resourceArn :: Lens' DeleteTags Text Source #
The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
deleteTags_tagKeys :: Lens' DeleteTags (NonEmpty Text) Source #
An array or one or more tag keys to delete.
deleteTagsResponse_httpStatus :: Lens' DeleteTagsResponse Int Source #
The response's http status code.
DeleteTrial
deleteTrial_trialName :: Lens' DeleteTrial Text Source #
The name of the trial to delete.
deleteTrialResponse_trialArn :: Lens' DeleteTrialResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial that is being deleted.
deleteTrialResponse_httpStatus :: Lens' DeleteTrialResponse Int Source #
The response's http status code.
DeleteTrialComponent
deleteTrialComponent_trialComponentName :: Lens' DeleteTrialComponent Text Source #
The name of the component to delete.
deleteTrialComponentResponse_trialComponentArn :: Lens' DeleteTrialComponentResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the component is being deleted.
deleteTrialComponentResponse_httpStatus :: Lens' DeleteTrialComponentResponse Int Source #
The response's http status code.
DeleteUserProfile
deleteUserProfile_domainId :: Lens' DeleteUserProfile Text Source #
The domain ID.
deleteUserProfile_userProfileName :: Lens' DeleteUserProfile Text Source #
The user profile name.
DeleteWorkforce
deleteWorkforce_workforceName :: Lens' DeleteWorkforce Text Source #
The name of the workforce.
deleteWorkforceResponse_httpStatus :: Lens' DeleteWorkforceResponse Int Source #
The response's http status code.
DeleteWorkteam
deleteWorkteam_workteamName :: Lens' DeleteWorkteam Text Source #
The name of the work team to delete.
deleteWorkteamResponse_httpStatus :: Lens' DeleteWorkteamResponse Int Source #
The response's http status code.
deleteWorkteamResponse_success :: Lens' DeleteWorkteamResponse Bool Source #
Returns true
if the work team was successfully deleted; otherwise,
returns false
.
DeregisterDevices
deregisterDevices_deviceFleetName :: Lens' DeregisterDevices Text Source #
The name of the fleet the devices belong to.
deregisterDevices_deviceNames :: Lens' DeregisterDevices [Text] Source #
The unique IDs of the devices.
DescribeAction
describeAction_actionName :: Lens' DescribeAction Text Source #
The name of the action to describe.
describeActionResponse_actionArn :: Lens' DescribeActionResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the action.
describeActionResponse_actionName :: Lens' DescribeActionResponse (Maybe Text) Source #
The name of the action.
describeActionResponse_actionType :: Lens' DescribeActionResponse (Maybe Text) Source #
The type of the action.
describeActionResponse_createdBy :: Lens' DescribeActionResponse (Maybe UserContext) Source #
Undocumented member.
describeActionResponse_creationTime :: Lens' DescribeActionResponse (Maybe UTCTime) Source #
When the action was created.
describeActionResponse_description :: Lens' DescribeActionResponse (Maybe Text) Source #
The description of the action.
describeActionResponse_lastModifiedBy :: Lens' DescribeActionResponse (Maybe UserContext) Source #
Undocumented member.
describeActionResponse_lastModifiedTime :: Lens' DescribeActionResponse (Maybe UTCTime) Source #
When the action was last modified.
describeActionResponse_lineageGroupArn :: Lens' DescribeActionResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the lineage group.
describeActionResponse_metadataProperties :: Lens' DescribeActionResponse (Maybe MetadataProperties) Source #
Undocumented member.
describeActionResponse_properties :: Lens' DescribeActionResponse (Maybe (HashMap Text Text)) Source #
A list of the action's properties.
describeActionResponse_source :: Lens' DescribeActionResponse (Maybe ActionSource) Source #
The source of the action.
describeActionResponse_status :: Lens' DescribeActionResponse (Maybe ActionStatus) Source #
The status of the action.
describeActionResponse_httpStatus :: Lens' DescribeActionResponse Int Source #
The response's http status code.
DescribeAlgorithm
describeAlgorithm_algorithmName :: Lens' DescribeAlgorithm Text Source #
The name of the algorithm to describe.
describeAlgorithmResponse_algorithmDescription :: Lens' DescribeAlgorithmResponse (Maybe Text) Source #
A brief summary about the algorithm.
describeAlgorithmResponse_certifyForMarketplace :: Lens' DescribeAlgorithmResponse (Maybe Bool) Source #
Whether the algorithm is certified to be listed in Amazon Web Services Marketplace.
describeAlgorithmResponse_inferenceSpecification :: Lens' DescribeAlgorithmResponse (Maybe InferenceSpecification) Source #
Details about inference jobs that the algorithm runs.
describeAlgorithmResponse_productId :: Lens' DescribeAlgorithmResponse (Maybe Text) Source #
The product identifier of the algorithm.
describeAlgorithmResponse_validationSpecification :: Lens' DescribeAlgorithmResponse (Maybe AlgorithmValidationSpecification) Source #
Details about configurations for one or more training jobs that SageMaker runs to test the algorithm.
describeAlgorithmResponse_httpStatus :: Lens' DescribeAlgorithmResponse Int Source #
The response's http status code.
describeAlgorithmResponse_algorithmName :: Lens' DescribeAlgorithmResponse Text Source #
The name of the algorithm being described.
describeAlgorithmResponse_algorithmArn :: Lens' DescribeAlgorithmResponse Text Source #
The Amazon Resource Name (ARN) of the algorithm.
describeAlgorithmResponse_creationTime :: Lens' DescribeAlgorithmResponse UTCTime Source #
A timestamp specifying when the algorithm was created.
describeAlgorithmResponse_trainingSpecification :: Lens' DescribeAlgorithmResponse TrainingSpecification Source #
Details about training jobs run by this algorithm.
describeAlgorithmResponse_algorithmStatus :: Lens' DescribeAlgorithmResponse AlgorithmStatus Source #
The current status of the algorithm.
describeAlgorithmResponse_algorithmStatusDetails :: Lens' DescribeAlgorithmResponse AlgorithmStatusDetails Source #
Details about the current status of the algorithm.
DescribeApp
describeApp_spaceName :: Lens' DescribeApp (Maybe Text) Source #
The name of the space.
describeApp_userProfileName :: Lens' DescribeApp (Maybe Text) Source #
The user profile name. If this value is not set, then SpaceName
must
be set.
describeApp_domainId :: Lens' DescribeApp Text Source #
The domain ID.
describeApp_appType :: Lens' DescribeApp AppType Source #
The type of app.
describeApp_appName :: Lens' DescribeApp Text Source #
The name of the app.
describeAppResponse_appArn :: Lens' DescribeAppResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the app.
describeAppResponse_appName :: Lens' DescribeAppResponse (Maybe Text) Source #
The name of the app.
describeAppResponse_appType :: Lens' DescribeAppResponse (Maybe AppType) Source #
The type of app.
describeAppResponse_creationTime :: Lens' DescribeAppResponse (Maybe UTCTime) Source #
The creation time.
describeAppResponse_domainId :: Lens' DescribeAppResponse (Maybe Text) Source #
The domain ID.
describeAppResponse_failureReason :: Lens' DescribeAppResponse (Maybe Text) Source #
The failure reason.
describeAppResponse_lastHealthCheckTimestamp :: Lens' DescribeAppResponse (Maybe UTCTime) Source #
The timestamp of the last health check.
describeAppResponse_lastUserActivityTimestamp :: Lens' DescribeAppResponse (Maybe UTCTime) Source #
The timestamp of the last user's activity. LastUserActivityTimestamp
is also updated when SageMaker performs health checks without user
activity. As a result, this value is set to the same value as
LastHealthCheckTimestamp
.
describeAppResponse_resourceSpec :: Lens' DescribeAppResponse (Maybe ResourceSpec) Source #
The instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.
describeAppResponse_spaceName :: Lens' DescribeAppResponse (Maybe Text) Source #
The name of the space. If this value is not set, then UserProfileName
must be set.
describeAppResponse_status :: Lens' DescribeAppResponse (Maybe AppStatus) Source #
The status.
describeAppResponse_userProfileName :: Lens' DescribeAppResponse (Maybe Text) Source #
The user profile name.
describeAppResponse_httpStatus :: Lens' DescribeAppResponse Int Source #
The response's http status code.
DescribeAppImageConfig
describeAppImageConfig_appImageConfigName :: Lens' DescribeAppImageConfig Text Source #
The name of the AppImageConfig to describe.
describeAppImageConfigResponse_appImageConfigArn :: Lens' DescribeAppImageConfigResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the AppImageConfig.
describeAppImageConfigResponse_appImageConfigName :: Lens' DescribeAppImageConfigResponse (Maybe Text) Source #
The name of the AppImageConfig.
describeAppImageConfigResponse_creationTime :: Lens' DescribeAppImageConfigResponse (Maybe UTCTime) Source #
When the AppImageConfig was created.
describeAppImageConfigResponse_kernelGatewayImageConfig :: Lens' DescribeAppImageConfigResponse (Maybe KernelGatewayImageConfig) Source #
The configuration of a KernelGateway app.
describeAppImageConfigResponse_lastModifiedTime :: Lens' DescribeAppImageConfigResponse (Maybe UTCTime) Source #
When the AppImageConfig was last modified.
describeAppImageConfigResponse_httpStatus :: Lens' DescribeAppImageConfigResponse Int Source #
The response's http status code.
DescribeArtifact
describeArtifact_artifactArn :: Lens' DescribeArtifact Text Source #
The Amazon Resource Name (ARN) of the artifact to describe.
describeArtifactResponse_artifactArn :: Lens' DescribeArtifactResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the artifact.
describeArtifactResponse_artifactName :: Lens' DescribeArtifactResponse (Maybe Text) Source #
The name of the artifact.
describeArtifactResponse_artifactType :: Lens' DescribeArtifactResponse (Maybe Text) Source #
The type of the artifact.
describeArtifactResponse_createdBy :: Lens' DescribeArtifactResponse (Maybe UserContext) Source #
Undocumented member.
describeArtifactResponse_creationTime :: Lens' DescribeArtifactResponse (Maybe UTCTime) Source #
When the artifact was created.
describeArtifactResponse_lastModifiedBy :: Lens' DescribeArtifactResponse (Maybe UserContext) Source #
Undocumented member.
describeArtifactResponse_lastModifiedTime :: Lens' DescribeArtifactResponse (Maybe UTCTime) Source #
When the artifact was last modified.
describeArtifactResponse_lineageGroupArn :: Lens' DescribeArtifactResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the lineage group.
describeArtifactResponse_metadataProperties :: Lens' DescribeArtifactResponse (Maybe MetadataProperties) Source #
Undocumented member.
describeArtifactResponse_properties :: Lens' DescribeArtifactResponse (Maybe (HashMap Text Text)) Source #
A list of the artifact's properties.
describeArtifactResponse_source :: Lens' DescribeArtifactResponse (Maybe ArtifactSource) Source #
The source of the artifact.
describeArtifactResponse_httpStatus :: Lens' DescribeArtifactResponse Int Source #
The response's http status code.
DescribeAutoMLJob
describeAutoMLJob_autoMLJobName :: Lens' DescribeAutoMLJob Text Source #
Requests information about an AutoML job using its unique name.
describeAutoMLJobResponse_autoMLJobArtifacts :: Lens' DescribeAutoMLJobResponse (Maybe AutoMLJobArtifacts) Source #
Returns information on the job's artifacts found in
AutoMLJobArtifacts
.
describeAutoMLJobResponse_autoMLJobConfig :: Lens' DescribeAutoMLJobResponse (Maybe AutoMLJobConfig) Source #
Returns the configuration for the AutoML job.
describeAutoMLJobResponse_autoMLJobObjective :: Lens' DescribeAutoMLJobResponse (Maybe AutoMLJobObjective) Source #
Returns the job's objective.
describeAutoMLJobResponse_bestCandidate :: Lens' DescribeAutoMLJobResponse (Maybe AutoMLCandidate) Source #
The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
describeAutoMLJobResponse_endTime :: Lens' DescribeAutoMLJobResponse (Maybe UTCTime) Source #
Returns the end time of the AutoML job.
describeAutoMLJobResponse_failureReason :: Lens' DescribeAutoMLJobResponse (Maybe Text) Source #
Returns the failure reason for an AutoML job, when applicable.
describeAutoMLJobResponse_generateCandidateDefinitionsOnly :: Lens' DescribeAutoMLJobResponse (Maybe Bool) Source #
Indicates whether the output for an AutoML job generates candidate definitions only.
describeAutoMLJobResponse_modelDeployConfig :: Lens' DescribeAutoMLJobResponse (Maybe ModelDeployConfig) Source #
Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
describeAutoMLJobResponse_modelDeployResult :: Lens' DescribeAutoMLJobResponse (Maybe ModelDeployResult) Source #
Provides information about endpoint for the model deployment.
describeAutoMLJobResponse_partialFailureReasons :: Lens' DescribeAutoMLJobResponse (Maybe (NonEmpty AutoMLPartialFailureReason)) Source #
Returns a list of reasons for partial failures within an AutoML job.
describeAutoMLJobResponse_problemType :: Lens' DescribeAutoMLJobResponse (Maybe ProblemType) Source #
Returns the job's problem type.
describeAutoMLJobResponse_resolvedAttributes :: Lens' DescribeAutoMLJobResponse (Maybe ResolvedAttributes) Source #
This contains ProblemType
, AutoMLJobObjective
, and
CompletionCriteria
. If you do not provide these values, they are
auto-inferred. If you do provide them, the values used are the ones you
provide.
describeAutoMLJobResponse_httpStatus :: Lens' DescribeAutoMLJobResponse Int Source #
The response's http status code.
describeAutoMLJobResponse_autoMLJobName :: Lens' DescribeAutoMLJobResponse Text Source #
Returns the name of the AutoML job.
describeAutoMLJobResponse_autoMLJobArn :: Lens' DescribeAutoMLJobResponse Text Source #
Returns the ARN of the AutoML job.
describeAutoMLJobResponse_inputDataConfig :: Lens' DescribeAutoMLJobResponse (NonEmpty AutoMLChannel) Source #
Returns the input data configuration for the AutoML job..
describeAutoMLJobResponse_outputDataConfig :: Lens' DescribeAutoMLJobResponse AutoMLOutputDataConfig Source #
Returns the job's output data config.
describeAutoMLJobResponse_roleArn :: Lens' DescribeAutoMLJobResponse Text Source #
The Amazon Resource Name (ARN) of the Identity and Access Management (IAM) role that has read permission to the input data location and write permission to the output data location in Amazon S3.
describeAutoMLJobResponse_creationTime :: Lens' DescribeAutoMLJobResponse UTCTime Source #
Returns the creation time of the AutoML job.
describeAutoMLJobResponse_lastModifiedTime :: Lens' DescribeAutoMLJobResponse UTCTime Source #
Returns the job's last modified time.
describeAutoMLJobResponse_autoMLJobStatus :: Lens' DescribeAutoMLJobResponse AutoMLJobStatus Source #
Returns the status of the AutoML job.
describeAutoMLJobResponse_autoMLJobSecondaryStatus :: Lens' DescribeAutoMLJobResponse AutoMLJobSecondaryStatus Source #
Returns the secondary status of the AutoML job.
DescribeCodeRepository
describeCodeRepository_codeRepositoryName :: Lens' DescribeCodeRepository Text Source #
The name of the Git repository to describe.
describeCodeRepositoryResponse_gitConfig :: Lens' DescribeCodeRepositoryResponse (Maybe GitConfig) Source #
Configuration details about the repository, including the URL where the repository is located, the default branch, and the Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.
describeCodeRepositoryResponse_httpStatus :: Lens' DescribeCodeRepositoryResponse Int Source #
The response's http status code.
describeCodeRepositoryResponse_codeRepositoryName :: Lens' DescribeCodeRepositoryResponse Text Source #
The name of the Git repository.
describeCodeRepositoryResponse_codeRepositoryArn :: Lens' DescribeCodeRepositoryResponse Text Source #
The Amazon Resource Name (ARN) of the Git repository.
describeCodeRepositoryResponse_creationTime :: Lens' DescribeCodeRepositoryResponse UTCTime Source #
The date and time that the repository was created.
describeCodeRepositoryResponse_lastModifiedTime :: Lens' DescribeCodeRepositoryResponse UTCTime Source #
The date and time that the repository was last changed.
DescribeCompilationJob
describeCompilationJob_compilationJobName :: Lens' DescribeCompilationJob Text Source #
The name of the model compilation job that you want information about.
describeCompilationJobResponse_compilationEndTime :: Lens' DescribeCompilationJobResponse (Maybe UTCTime) Source #
The time when the model compilation job on a compilation job instance ended. For a successful or stopped job, this is when the job's model artifacts have finished uploading. For a failed job, this is when Amazon SageMaker detected that the job failed.
describeCompilationJobResponse_compilationStartTime :: Lens' DescribeCompilationJobResponse (Maybe UTCTime) Source #
The time when the model compilation job started the CompilationJob
instances.
You are billed for the time between this timestamp and the timestamp in the DescribeCompilationJobResponse$CompilationEndTime field. In Amazon CloudWatch Logs, the start time might be later than this time. That's because it takes time to download the compilation job, which depends on the size of the compilation job container.
describeCompilationJobResponse_inferenceImage :: Lens' DescribeCompilationJobResponse (Maybe Text) Source #
The inference image to use when compiling a model. Specify an image only if the target device is a cloud instance.
describeCompilationJobResponse_modelDigests :: Lens' DescribeCompilationJobResponse (Maybe ModelDigests) Source #
Provides a BLAKE2 hash value that identifies the compiled model artifacts in Amazon S3.
describeCompilationJobResponse_modelPackageVersionArn :: Lens' DescribeCompilationJobResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the versioned model package that was provided to SageMaker Neo when you initiated a compilation job.
describeCompilationJobResponse_vpcConfig :: Lens' DescribeCompilationJobResponse (Maybe NeoVpcConfig) Source #
A VpcConfig object that specifies the VPC that you want your compilation job to connect to. Control access to your models by configuring the VPC. For more information, see Protect Compilation Jobs by Using an Amazon Virtual Private Cloud.
describeCompilationJobResponse_httpStatus :: Lens' DescribeCompilationJobResponse Int Source #
The response's http status code.
describeCompilationJobResponse_compilationJobName :: Lens' DescribeCompilationJobResponse Text Source #
The name of the model compilation job.
describeCompilationJobResponse_compilationJobArn :: Lens' DescribeCompilationJobResponse Text Source #
The Amazon Resource Name (ARN) of the model compilation job.
describeCompilationJobResponse_compilationJobStatus :: Lens' DescribeCompilationJobResponse CompilationJobStatus Source #
The status of the model compilation job.
describeCompilationJobResponse_stoppingCondition :: Lens' DescribeCompilationJobResponse StoppingCondition Source #
Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training costs.
describeCompilationJobResponse_creationTime :: Lens' DescribeCompilationJobResponse UTCTime Source #
The time that the model compilation job was created.
describeCompilationJobResponse_lastModifiedTime :: Lens' DescribeCompilationJobResponse UTCTime Source #
The time that the status of the model compilation job was last modified.
describeCompilationJobResponse_failureReason :: Lens' DescribeCompilationJobResponse Text Source #
If a model compilation job failed, the reason it failed.
describeCompilationJobResponse_modelArtifacts :: Lens' DescribeCompilationJobResponse ModelArtifacts Source #
Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the compilation job.
describeCompilationJobResponse_roleArn :: Lens' DescribeCompilationJobResponse Text Source #
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes to perform the model compilation job.
describeCompilationJobResponse_inputConfig :: Lens' DescribeCompilationJobResponse InputConfig Source #
Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
describeCompilationJobResponse_outputConfig :: Lens' DescribeCompilationJobResponse OutputConfig Source #
Information about the output location for the compiled model and the target device that the model runs on.
DescribeContext
describeContext_contextName :: Lens' DescribeContext Text Source #
The name of the context to describe.
describeContextResponse_contextArn :: Lens' DescribeContextResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the context.
describeContextResponse_contextName :: Lens' DescribeContextResponse (Maybe Text) Source #
The name of the context.
describeContextResponse_contextType :: Lens' DescribeContextResponse (Maybe Text) Source #
The type of the context.
describeContextResponse_createdBy :: Lens' DescribeContextResponse (Maybe UserContext) Source #
Undocumented member.
describeContextResponse_creationTime :: Lens' DescribeContextResponse (Maybe UTCTime) Source #
When the context was created.
describeContextResponse_description :: Lens' DescribeContextResponse (Maybe Text) Source #
The description of the context.
describeContextResponse_lastModifiedBy :: Lens' DescribeContextResponse (Maybe UserContext) Source #
Undocumented member.
describeContextResponse_lastModifiedTime :: Lens' DescribeContextResponse (Maybe UTCTime) Source #
When the context was last modified.
describeContextResponse_lineageGroupArn :: Lens' DescribeContextResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the lineage group.
describeContextResponse_properties :: Lens' DescribeContextResponse (Maybe (HashMap Text Text)) Source #
A list of the context's properties.
describeContextResponse_source :: Lens' DescribeContextResponse (Maybe ContextSource) Source #
The source of the context.
describeContextResponse_httpStatus :: Lens' DescribeContextResponse Int Source #
The response's http status code.
DescribeDataQualityJobDefinition
describeDataQualityJobDefinition_jobDefinitionName :: Lens' DescribeDataQualityJobDefinition Text Source #
The name of the data quality monitoring job definition to describe.
describeDataQualityJobDefinitionResponse_dataQualityBaselineConfig :: Lens' DescribeDataQualityJobDefinitionResponse (Maybe DataQualityBaselineConfig) Source #
The constraints and baselines for the data quality monitoring job definition.
describeDataQualityJobDefinitionResponse_networkConfig :: Lens' DescribeDataQualityJobDefinitionResponse (Maybe MonitoringNetworkConfig) Source #
The networking configuration for the data quality monitoring job.
describeDataQualityJobDefinitionResponse_stoppingCondition :: Lens' DescribeDataQualityJobDefinitionResponse (Maybe MonitoringStoppingCondition) Source #
Undocumented member.
describeDataQualityJobDefinitionResponse_httpStatus :: Lens' DescribeDataQualityJobDefinitionResponse Int Source #
The response's http status code.
describeDataQualityJobDefinitionResponse_jobDefinitionArn :: Lens' DescribeDataQualityJobDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the data quality monitoring job definition.
describeDataQualityJobDefinitionResponse_jobDefinitionName :: Lens' DescribeDataQualityJobDefinitionResponse Text Source #
The name of the data quality monitoring job definition.
describeDataQualityJobDefinitionResponse_creationTime :: Lens' DescribeDataQualityJobDefinitionResponse UTCTime Source #
The time that the data quality monitoring job definition was created.
describeDataQualityJobDefinitionResponse_dataQualityAppSpecification :: Lens' DescribeDataQualityJobDefinitionResponse DataQualityAppSpecification Source #
Information about the container that runs the data quality monitoring job.
describeDataQualityJobDefinitionResponse_dataQualityJobInput :: Lens' DescribeDataQualityJobDefinitionResponse DataQualityJobInput Source #
The list of inputs for the data quality monitoring job. Currently endpoints are supported.
describeDataQualityJobDefinitionResponse_dataQualityJobOutputConfig :: Lens' DescribeDataQualityJobDefinitionResponse MonitoringOutputConfig Source #
Undocumented member.
describeDataQualityJobDefinitionResponse_jobResources :: Lens' DescribeDataQualityJobDefinitionResponse MonitoringResources Source #
Undocumented member.
describeDataQualityJobDefinitionResponse_roleArn :: Lens' DescribeDataQualityJobDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
DescribeDevice
describeDevice_nextToken :: Lens' DescribeDevice (Maybe Text) Source #
Next token of device description.
describeDevice_deviceName :: Lens' DescribeDevice Text Source #
The unique ID of the device.
describeDevice_deviceFleetName :: Lens' DescribeDevice Text Source #
The name of the fleet the devices belong to.
describeDeviceResponse_agentVersion :: Lens' DescribeDeviceResponse (Maybe Text) Source #
Edge Manager agent version.
describeDeviceResponse_description :: Lens' DescribeDeviceResponse (Maybe Text) Source #
A description of the device.
describeDeviceResponse_deviceArn :: Lens' DescribeDeviceResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the device.
describeDeviceResponse_iotThingName :: Lens' DescribeDeviceResponse (Maybe Text) Source #
The Amazon Web Services Internet of Things (IoT) object thing name associated with the device.
describeDeviceResponse_latestHeartbeat :: Lens' DescribeDeviceResponse (Maybe UTCTime) Source #
The last heartbeat received from the device.
describeDeviceResponse_maxModels :: Lens' DescribeDeviceResponse (Maybe Int) Source #
The maximum number of models.
describeDeviceResponse_models :: Lens' DescribeDeviceResponse (Maybe [EdgeModel]) Source #
Models on the device.
describeDeviceResponse_nextToken :: Lens' DescribeDeviceResponse (Maybe Text) Source #
The response from the last list when returning a list large enough to need tokening.
describeDeviceResponse_httpStatus :: Lens' DescribeDeviceResponse Int Source #
The response's http status code.
describeDeviceResponse_deviceName :: Lens' DescribeDeviceResponse Text Source #
The unique identifier of the device.
describeDeviceResponse_deviceFleetName :: Lens' DescribeDeviceResponse Text Source #
The name of the fleet the device belongs to.
describeDeviceResponse_registrationTime :: Lens' DescribeDeviceResponse UTCTime Source #
The timestamp of the last registration or de-reregistration.
DescribeDeviceFleet
describeDeviceFleet_deviceFleetName :: Lens' DescribeDeviceFleet Text Source #
The name of the fleet.
describeDeviceFleetResponse_description :: Lens' DescribeDeviceFleetResponse (Maybe Text) Source #
A description of the fleet.
describeDeviceFleetResponse_iotRoleAlias :: Lens' DescribeDeviceFleetResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) alias created in Amazon Web Services Internet of Things (IoT).
describeDeviceFleetResponse_roleArn :: Lens' DescribeDeviceFleetResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) that has access to Amazon Web Services Internet of Things (IoT).
describeDeviceFleetResponse_httpStatus :: Lens' DescribeDeviceFleetResponse Int Source #
The response's http status code.
describeDeviceFleetResponse_deviceFleetName :: Lens' DescribeDeviceFleetResponse Text Source #
The name of the fleet.
describeDeviceFleetResponse_deviceFleetArn :: Lens' DescribeDeviceFleetResponse Text Source #
The The Amazon Resource Name (ARN) of the fleet.
describeDeviceFleetResponse_outputConfig :: Lens' DescribeDeviceFleetResponse EdgeOutputConfig Source #
The output configuration for storing sampled data.
describeDeviceFleetResponse_creationTime :: Lens' DescribeDeviceFleetResponse UTCTime Source #
Timestamp of when the device fleet was created.
describeDeviceFleetResponse_lastModifiedTime :: Lens' DescribeDeviceFleetResponse UTCTime Source #
Timestamp of when the device fleet was last updated.
DescribeDomain
describeDomain_domainId :: Lens' DescribeDomain Text Source #
The domain ID.
describeDomainResponse_appNetworkAccessType :: Lens' DescribeDomainResponse (Maybe AppNetworkAccessType) Source #
Specifies the VPC used for non-EFS traffic. The default value is
PublicInternetOnly
.
PublicInternetOnly
- Non-EFS traffic is through a VPC managed by Amazon SageMaker, which allows direct internet accessVpcOnly
- All Studio traffic is through the specified VPC and subnets
describeDomainResponse_appSecurityGroupManagement :: Lens' DescribeDomainResponse (Maybe AppSecurityGroupManagement) Source #
The entity that creates and manages the required security groups for
inter-app communication in VPCOnly
mode. Required when
CreateDomain.AppNetworkAccessType
is VPCOnly
and
DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn
is provided.
describeDomainResponse_authMode :: Lens' DescribeDomainResponse (Maybe AuthMode) Source #
The domain's authentication mode.
describeDomainResponse_creationTime :: Lens' DescribeDomainResponse (Maybe UTCTime) Source #
The creation time.
describeDomainResponse_defaultSpaceSettings :: Lens' DescribeDomainResponse (Maybe DefaultSpaceSettings) Source #
The default settings used to create a space.
describeDomainResponse_defaultUserSettings :: Lens' DescribeDomainResponse (Maybe UserSettings) Source #
Settings which are applied to UserProfiles in this domain if settings are not explicitly specified in a given UserProfile.
describeDomainResponse_domainArn :: Lens' DescribeDomainResponse (Maybe Text) Source #
The domain's Amazon Resource Name (ARN).
describeDomainResponse_domainId :: Lens' DescribeDomainResponse (Maybe Text) Source #
The domain ID.
describeDomainResponse_domainName :: Lens' DescribeDomainResponse (Maybe Text) Source #
The domain name.
describeDomainResponse_domainSettings :: Lens' DescribeDomainResponse (Maybe DomainSettings) Source #
A collection of Domain
settings.
describeDomainResponse_failureReason :: Lens' DescribeDomainResponse (Maybe Text) Source #
The failure reason.
describeDomainResponse_homeEfsFileSystemId :: Lens' DescribeDomainResponse (Maybe Text) Source #
The ID of the Amazon Elastic File System (EFS) managed by this Domain.
describeDomainResponse_homeEfsFileSystemKmsKeyId :: Lens' DescribeDomainResponse (Maybe Text) Source #
Use KmsKeyId
.
describeDomainResponse_kmsKeyId :: Lens' DescribeDomainResponse (Maybe Text) Source #
The Amazon Web Services KMS customer managed key used to encrypt the EFS volume attached to the domain.
describeDomainResponse_lastModifiedTime :: Lens' DescribeDomainResponse (Maybe UTCTime) Source #
The last modified time.
describeDomainResponse_securityGroupIdForDomainBoundary :: Lens' DescribeDomainResponse (Maybe Text) Source #
The ID of the security group that authorizes traffic between the
RSessionGateway
apps and the RStudioServerPro
app.
describeDomainResponse_singleSignOnManagedApplicationInstanceId :: Lens' DescribeDomainResponse (Maybe Text) Source #
The IAM Identity Center managed application instance ID.
describeDomainResponse_status :: Lens' DescribeDomainResponse (Maybe DomainStatus) Source #
The status.
describeDomainResponse_subnetIds :: Lens' DescribeDomainResponse (Maybe (NonEmpty Text)) Source #
The VPC subnets that Studio uses for communication.
describeDomainResponse_url :: Lens' DescribeDomainResponse (Maybe Text) Source #
The domain's URL.
describeDomainResponse_vpcId :: Lens' DescribeDomainResponse (Maybe Text) Source #
The ID of the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
describeDomainResponse_httpStatus :: Lens' DescribeDomainResponse Int Source #
The response's http status code.
DescribeEdgeDeploymentPlan
describeEdgeDeploymentPlan_maxResults :: Lens' DescribeEdgeDeploymentPlan (Maybe Int) Source #
The maximum number of results to select (50 by default).
describeEdgeDeploymentPlan_nextToken :: Lens' DescribeEdgeDeploymentPlan (Maybe Text) Source #
If the edge deployment plan has enough stages to require tokening, then this is the response from the last list of stages returned.
describeEdgeDeploymentPlan_edgeDeploymentPlanName :: Lens' DescribeEdgeDeploymentPlan Text Source #
The name of the deployment plan to describe.
describeEdgeDeploymentPlanResponse_creationTime :: Lens' DescribeEdgeDeploymentPlanResponse (Maybe UTCTime) Source #
The time when the edge deployment plan was created.
describeEdgeDeploymentPlanResponse_edgeDeploymentFailed :: Lens' DescribeEdgeDeploymentPlanResponse (Maybe Int) Source #
The number of edge devices that failed the deployment.
describeEdgeDeploymentPlanResponse_edgeDeploymentPending :: Lens' DescribeEdgeDeploymentPlanResponse (Maybe Int) Source #
The number of edge devices yet to pick up deployment, or in progress.
describeEdgeDeploymentPlanResponse_edgeDeploymentSuccess :: Lens' DescribeEdgeDeploymentPlanResponse (Maybe Int) Source #
The number of edge devices with the successful deployment.
describeEdgeDeploymentPlanResponse_lastModifiedTime :: Lens' DescribeEdgeDeploymentPlanResponse (Maybe UTCTime) Source #
The time when the edge deployment plan was last updated.
describeEdgeDeploymentPlanResponse_nextToken :: Lens' DescribeEdgeDeploymentPlanResponse (Maybe Text) Source #
Token to use when calling the next set of stages in the edge deployment plan.
describeEdgeDeploymentPlanResponse_httpStatus :: Lens' DescribeEdgeDeploymentPlanResponse Int Source #
The response's http status code.
describeEdgeDeploymentPlanResponse_edgeDeploymentPlanArn :: Lens' DescribeEdgeDeploymentPlanResponse Text Source #
The ARN of edge deployment plan.
describeEdgeDeploymentPlanResponse_edgeDeploymentPlanName :: Lens' DescribeEdgeDeploymentPlanResponse Text Source #
The name of the edge deployment plan.
describeEdgeDeploymentPlanResponse_modelConfigs :: Lens' DescribeEdgeDeploymentPlanResponse [EdgeDeploymentModelConfig] Source #
List of models associated with the edge deployment plan.
describeEdgeDeploymentPlanResponse_deviceFleetName :: Lens' DescribeEdgeDeploymentPlanResponse Text Source #
The device fleet used for this edge deployment plan.
describeEdgeDeploymentPlanResponse_stages :: Lens' DescribeEdgeDeploymentPlanResponse [DeploymentStageStatusSummary] Source #
List of stages in the edge deployment plan.
DescribeEdgePackagingJob
describeEdgePackagingJob_edgePackagingJobName :: Lens' DescribeEdgePackagingJob Text Source #
The name of the edge packaging job.
describeEdgePackagingJobResponse_compilationJobName :: Lens' DescribeEdgePackagingJobResponse (Maybe Text) Source #
The name of the SageMaker Neo compilation job that is used to locate model artifacts that are being packaged.
describeEdgePackagingJobResponse_creationTime :: Lens' DescribeEdgePackagingJobResponse (Maybe UTCTime) Source #
The timestamp of when the packaging job was created.
describeEdgePackagingJobResponse_edgePackagingJobStatusMessage :: Lens' DescribeEdgePackagingJobResponse (Maybe Text) Source #
Returns a message describing the job status and error messages.
describeEdgePackagingJobResponse_lastModifiedTime :: Lens' DescribeEdgePackagingJobResponse (Maybe UTCTime) Source #
The timestamp of when the job was last updated.
describeEdgePackagingJobResponse_modelArtifact :: Lens' DescribeEdgePackagingJobResponse (Maybe Text) Source #
The Amazon Simple Storage (S3) URI where model artifacts ares stored.
describeEdgePackagingJobResponse_modelName :: Lens' DescribeEdgePackagingJobResponse (Maybe Text) Source #
The name of the model.
describeEdgePackagingJobResponse_modelSignature :: Lens' DescribeEdgePackagingJobResponse (Maybe Text) Source #
The signature document of files in the model artifact.
describeEdgePackagingJobResponse_modelVersion :: Lens' DescribeEdgePackagingJobResponse (Maybe Text) Source #
The version of the model.
describeEdgePackagingJobResponse_outputConfig :: Lens' DescribeEdgePackagingJobResponse (Maybe EdgeOutputConfig) Source #
The output configuration for the edge packaging job.
describeEdgePackagingJobResponse_presetDeploymentOutput :: Lens' DescribeEdgePackagingJobResponse (Maybe EdgePresetDeploymentOutput) Source #
The output of a SageMaker Edge Manager deployable resource.
describeEdgePackagingJobResponse_resourceKey :: Lens' DescribeEdgePackagingJobResponse (Maybe Text) Source #
The Amazon Web Services KMS key to use when encrypting the EBS volume the job run on.
describeEdgePackagingJobResponse_roleArn :: Lens' DescribeEdgePackagingJobResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to download and upload the model, and to contact Neo.
describeEdgePackagingJobResponse_httpStatus :: Lens' DescribeEdgePackagingJobResponse Int Source #
The response's http status code.
describeEdgePackagingJobResponse_edgePackagingJobArn :: Lens' DescribeEdgePackagingJobResponse Text Source #
The Amazon Resource Name (ARN) of the edge packaging job.
describeEdgePackagingJobResponse_edgePackagingJobName :: Lens' DescribeEdgePackagingJobResponse Text Source #
The name of the edge packaging job.
describeEdgePackagingJobResponse_edgePackagingJobStatus :: Lens' DescribeEdgePackagingJobResponse EdgePackagingJobStatus Source #
The current status of the packaging job.
DescribeEndpoint
describeEndpoint_endpointName :: Lens' DescribeEndpoint Text Source #
The name of the endpoint.
describeEndpointResponse_asyncInferenceConfig :: Lens' DescribeEndpointResponse (Maybe AsyncInferenceConfig) Source #
Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
describeEndpointResponse_dataCaptureConfig :: Lens' DescribeEndpointResponse (Maybe DataCaptureConfigSummary) Source #
Undocumented member.
describeEndpointResponse_explainerConfig :: Lens' DescribeEndpointResponse (Maybe ExplainerConfig) Source #
The configuration parameters for an explainer.
describeEndpointResponse_failureReason :: Lens' DescribeEndpointResponse (Maybe Text) Source #
If the status of the endpoint is Failed
, the reason why it failed.
describeEndpointResponse_lastDeploymentConfig :: Lens' DescribeEndpointResponse (Maybe DeploymentConfig) Source #
The most recent deployment configuration for the endpoint.
describeEndpointResponse_pendingDeploymentSummary :: Lens' DescribeEndpointResponse (Maybe PendingDeploymentSummary) Source #
Returns the summary of an in-progress deployment. This field is only returned when the endpoint is creating or updating with a new endpoint configuration.
describeEndpointResponse_productionVariants :: Lens' DescribeEndpointResponse (Maybe (NonEmpty ProductionVariantSummary)) Source #
An array of ProductionVariantSummary objects, one for each model hosted behind this endpoint.
describeEndpointResponse_shadowProductionVariants :: Lens' DescribeEndpointResponse (Maybe (NonEmpty ProductionVariantSummary)) Source #
An array of ProductionVariantSummary objects, one for each model that
you want to host at this endpoint in shadow mode with production traffic
replicated from the model specified on ProductionVariants
.
describeEndpointResponse_httpStatus :: Lens' DescribeEndpointResponse Int Source #
The response's http status code.
describeEndpointResponse_endpointName :: Lens' DescribeEndpointResponse Text Source #
Name of the endpoint.
describeEndpointResponse_endpointArn :: Lens' DescribeEndpointResponse Text Source #
The Amazon Resource Name (ARN) of the endpoint.
describeEndpointResponse_endpointConfigName :: Lens' DescribeEndpointResponse Text Source #
The name of the endpoint configuration associated with this endpoint.
describeEndpointResponse_endpointStatus :: Lens' DescribeEndpointResponse EndpointStatus Source #
The status of the endpoint.
OutOfService
: Endpoint is not available to take incoming requests.Creating
: CreateEndpoint is executing.Updating
: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.SystemUpdating
: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.RollingBack
: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to anInService
status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.InService
: Endpoint is available to process incoming requests.Deleting
: DeleteEndpoint is executing.Failed
: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.
describeEndpointResponse_creationTime :: Lens' DescribeEndpointResponse UTCTime Source #
A timestamp that shows when the endpoint was created.
describeEndpointResponse_lastModifiedTime :: Lens' DescribeEndpointResponse UTCTime Source #
A timestamp that shows when the endpoint was last modified.
DescribeEndpointConfig
describeEndpointConfig_endpointConfigName :: Lens' DescribeEndpointConfig Text Source #
The name of the endpoint configuration.
describeEndpointConfigResponse_asyncInferenceConfig :: Lens' DescribeEndpointConfigResponse (Maybe AsyncInferenceConfig) Source #
Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
describeEndpointConfigResponse_dataCaptureConfig :: Lens' DescribeEndpointConfigResponse (Maybe DataCaptureConfig) Source #
Undocumented member.
describeEndpointConfigResponse_explainerConfig :: Lens' DescribeEndpointConfigResponse (Maybe ExplainerConfig) Source #
The configuration parameters for an explainer.
describeEndpointConfigResponse_kmsKeyId :: Lens' DescribeEndpointConfigResponse (Maybe Text) Source #
Amazon Web Services KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
describeEndpointConfigResponse_shadowProductionVariants :: Lens' DescribeEndpointConfigResponse (Maybe (NonEmpty ProductionVariant)) Source #
An array of ProductionVariant
objects, one for each model that you
want to host at this endpoint in shadow mode with production traffic
replicated from the model specified on ProductionVariants
.
describeEndpointConfigResponse_httpStatus :: Lens' DescribeEndpointConfigResponse Int Source #
The response's http status code.
describeEndpointConfigResponse_endpointConfigName :: Lens' DescribeEndpointConfigResponse Text Source #
Name of the SageMaker endpoint configuration.
describeEndpointConfigResponse_endpointConfigArn :: Lens' DescribeEndpointConfigResponse Text Source #
The Amazon Resource Name (ARN) of the endpoint configuration.
describeEndpointConfigResponse_productionVariants :: Lens' DescribeEndpointConfigResponse (NonEmpty ProductionVariant) Source #
An array of ProductionVariant
objects, one for each model that you
want to host at this endpoint.
describeEndpointConfigResponse_creationTime :: Lens' DescribeEndpointConfigResponse UTCTime Source #
A timestamp that shows when the endpoint configuration was created.
DescribeExperiment
describeExperiment_experimentName :: Lens' DescribeExperiment Text Source #
The name of the experiment to describe.
describeExperimentResponse_createdBy :: Lens' DescribeExperimentResponse (Maybe UserContext) Source #
Who created the experiment.
describeExperimentResponse_creationTime :: Lens' DescribeExperimentResponse (Maybe UTCTime) Source #
When the experiment was created.
describeExperimentResponse_description :: Lens' DescribeExperimentResponse (Maybe Text) Source #
The description of the experiment.
describeExperimentResponse_displayName :: Lens' DescribeExperimentResponse (Maybe Text) Source #
The name of the experiment as displayed. If DisplayName
isn't
specified, ExperimentName
is displayed.
describeExperimentResponse_experimentArn :: Lens' DescribeExperimentResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the experiment.
describeExperimentResponse_experimentName :: Lens' DescribeExperimentResponse (Maybe Text) Source #
The name of the experiment.
describeExperimentResponse_lastModifiedBy :: Lens' DescribeExperimentResponse (Maybe UserContext) Source #
Who last modified the experiment.
describeExperimentResponse_lastModifiedTime :: Lens' DescribeExperimentResponse (Maybe UTCTime) Source #
When the experiment was last modified.
describeExperimentResponse_source :: Lens' DescribeExperimentResponse (Maybe ExperimentSource) Source #
The Amazon Resource Name (ARN) of the source and, optionally, the type.
describeExperimentResponse_httpStatus :: Lens' DescribeExperimentResponse Int Source #
The response's http status code.
DescribeFeatureGroup
describeFeatureGroup_nextToken :: Lens' DescribeFeatureGroup (Maybe Text) Source #
A token to resume pagination of the list of Features
(FeatureDefinitions
). 2,500 Features
are returned by default.
describeFeatureGroup_featureGroupName :: Lens' DescribeFeatureGroup Text Source #
The name of the FeatureGroup
you want described.
describeFeatureGroupResponse_description :: Lens' DescribeFeatureGroupResponse (Maybe Text) Source #
A free form description of the feature group.
describeFeatureGroupResponse_failureReason :: Lens' DescribeFeatureGroupResponse (Maybe Text) Source #
The reason that the FeatureGroup
failed to be replicated in the
OfflineStore
. This is failure can occur because:
- The
FeatureGroup
could not be created in theOfflineStore
. - The
FeatureGroup
could not be deleted from theOfflineStore
.
describeFeatureGroupResponse_featureGroupStatus :: Lens' DescribeFeatureGroupResponse (Maybe FeatureGroupStatus) Source #
The status of the feature group.
describeFeatureGroupResponse_lastModifiedTime :: Lens' DescribeFeatureGroupResponse (Maybe UTCTime) Source #
A timestamp indicating when the feature group was last updated.
describeFeatureGroupResponse_lastUpdateStatus :: Lens' DescribeFeatureGroupResponse (Maybe LastUpdateStatus) Source #
A value indicating whether the update made to the feature group was successful.
describeFeatureGroupResponse_offlineStoreConfig :: Lens' DescribeFeatureGroupResponse (Maybe OfflineStoreConfig) Source #
The configuration of the offline store. It includes the following configurations:
- Amazon S3 location of the offline store.
- Configuration of the Glue data catalog.
- Table format of the offline store.
- Option to disable the automatic creation of a Glue table for the offline store.
- Encryption configuration.
describeFeatureGroupResponse_offlineStoreStatus :: Lens' DescribeFeatureGroupResponse (Maybe OfflineStoreStatus) Source #
The status of the OfflineStore
. Notifies you if replicating data into
the OfflineStore
has failed. Returns either: Active
or Blocked
describeFeatureGroupResponse_onlineStoreConfig :: Lens' DescribeFeatureGroupResponse (Maybe OnlineStoreConfig) Source #
The configuration for the OnlineStore
.
describeFeatureGroupResponse_onlineStoreTotalSizeBytes :: Lens' DescribeFeatureGroupResponse (Maybe Integer) Source #
The size of the OnlineStore
in bytes.
describeFeatureGroupResponse_roleArn :: Lens' DescribeFeatureGroupResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the OfflineStore if an OfflineStoreConfig is provided.
describeFeatureGroupResponse_httpStatus :: Lens' DescribeFeatureGroupResponse Int Source #
The response's http status code.
describeFeatureGroupResponse_featureGroupArn :: Lens' DescribeFeatureGroupResponse Text Source #
The Amazon Resource Name (ARN) of the FeatureGroup
.
describeFeatureGroupResponse_featureGroupName :: Lens' DescribeFeatureGroupResponse Text Source #
he name of the FeatureGroup
.
describeFeatureGroupResponse_recordIdentifierFeatureName :: Lens' DescribeFeatureGroupResponse Text Source #
The name of the Feature
used for RecordIdentifier
, whose value
uniquely identifies a record stored in the feature store.
describeFeatureGroupResponse_eventTimeFeatureName :: Lens' DescribeFeatureGroupResponse Text Source #
The name of the feature that stores the EventTime
of a Record in a
FeatureGroup
.
An EventTime
is a point in time when a new event occurs that
corresponds to the creation or update of a Record
in a FeatureGroup
.
All Records
in the FeatureGroup
have a corresponding EventTime
.
describeFeatureGroupResponse_featureDefinitions :: Lens' DescribeFeatureGroupResponse (NonEmpty FeatureDefinition) Source #
A list of the Features
in the FeatureGroup
. Each feature is defined
by a FeatureName
and FeatureType
.
describeFeatureGroupResponse_creationTime :: Lens' DescribeFeatureGroupResponse UTCTime Source #
A timestamp indicating when SageMaker created the FeatureGroup
.
describeFeatureGroupResponse_nextToken :: Lens' DescribeFeatureGroupResponse Text Source #
A token to resume pagination of the list of Features
(FeatureDefinitions
).
DescribeFeatureMetadata
describeFeatureMetadata_featureGroupName :: Lens' DescribeFeatureMetadata Text Source #
The name of the feature group containing the feature.
describeFeatureMetadata_featureName :: Lens' DescribeFeatureMetadata Text Source #
The name of the feature.
describeFeatureMetadataResponse_description :: Lens' DescribeFeatureMetadataResponse (Maybe Text) Source #
The description you added to describe the feature.
describeFeatureMetadataResponse_parameters :: Lens' DescribeFeatureMetadataResponse (Maybe [FeatureParameter]) Source #
The key-value pairs that you added to describe the feature.
describeFeatureMetadataResponse_httpStatus :: Lens' DescribeFeatureMetadataResponse Int Source #
The response's http status code.
describeFeatureMetadataResponse_featureGroupArn :: Lens' DescribeFeatureMetadataResponse Text Source #
The Amazon Resource Number (ARN) of the feature group that contains the feature.
describeFeatureMetadataResponse_featureGroupName :: Lens' DescribeFeatureMetadataResponse Text Source #
The name of the feature group that you've specified.
describeFeatureMetadataResponse_featureName :: Lens' DescribeFeatureMetadataResponse Text Source #
The name of the feature that you've specified.
describeFeatureMetadataResponse_featureType :: Lens' DescribeFeatureMetadataResponse FeatureType Source #
The data type of the feature.
describeFeatureMetadataResponse_creationTime :: Lens' DescribeFeatureMetadataResponse UTCTime Source #
A timestamp indicating when the feature was created.
describeFeatureMetadataResponse_lastModifiedTime :: Lens' DescribeFeatureMetadataResponse UTCTime Source #
A timestamp indicating when the metadata for the feature group was modified. For example, if you add a parameter describing the feature, the timestamp changes to reflect the last time you
DescribeFlowDefinition
describeFlowDefinition_flowDefinitionName :: Lens' DescribeFlowDefinition Text Source #
The name of the flow definition.
describeFlowDefinitionResponse_failureReason :: Lens' DescribeFlowDefinitionResponse (Maybe Text) Source #
The reason your flow definition failed.
describeFlowDefinitionResponse_humanLoopActivationConfig :: Lens' DescribeFlowDefinitionResponse (Maybe HumanLoopActivationConfig) Source #
An object containing information about what triggers a human review workflow.
describeFlowDefinitionResponse_humanLoopRequestSource :: Lens' DescribeFlowDefinitionResponse (Maybe HumanLoopRequestSource) Source #
Container for configuring the source of human task requests. Used to specify if Amazon Rekognition or Amazon Textract is used as an integration source.
describeFlowDefinitionResponse_httpStatus :: Lens' DescribeFlowDefinitionResponse Int Source #
The response's http status code.
describeFlowDefinitionResponse_flowDefinitionArn :: Lens' DescribeFlowDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the flow defintion.
describeFlowDefinitionResponse_flowDefinitionName :: Lens' DescribeFlowDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the flow definition.
describeFlowDefinitionResponse_flowDefinitionStatus :: Lens' DescribeFlowDefinitionResponse FlowDefinitionStatus Source #
The status of the flow definition. Valid values are listed below.
describeFlowDefinitionResponse_creationTime :: Lens' DescribeFlowDefinitionResponse UTCTime Source #
The timestamp when the flow definition was created.
describeFlowDefinitionResponse_humanLoopConfig :: Lens' DescribeFlowDefinitionResponse HumanLoopConfig Source #
An object containing information about who works on the task, the workforce task price, and other task details.
describeFlowDefinitionResponse_outputConfig :: Lens' DescribeFlowDefinitionResponse FlowDefinitionOutputConfig Source #
An object containing information about the output file.
describeFlowDefinitionResponse_roleArn :: Lens' DescribeFlowDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) execution role for the flow definition.
DescribeHub
describeHub_hubName :: Lens' DescribeHub Text Source #
The name of the hub to describe.
describeHubResponse_failureReason :: Lens' DescribeHubResponse (Maybe Text) Source #
The failure reason if importing hub content failed.
describeHubResponse_hubDescription :: Lens' DescribeHubResponse (Maybe Text) Source #
A description of the hub.
describeHubResponse_hubDisplayName :: Lens' DescribeHubResponse (Maybe Text) Source #
The display name of the hub.
describeHubResponse_hubSearchKeywords :: Lens' DescribeHubResponse (Maybe [Text]) Source #
The searchable keywords for the hub.
describeHubResponse_s3StorageConfig :: Lens' DescribeHubResponse (Maybe HubS3StorageConfig) Source #
The Amazon S3 storage configuration for the hub.
describeHubResponse_httpStatus :: Lens' DescribeHubResponse Int Source #
The response's http status code.
describeHubResponse_hubName :: Lens' DescribeHubResponse Text Source #
The name of the hub.
describeHubResponse_hubArn :: Lens' DescribeHubResponse Text Source #
The Amazon Resource Name (ARN) of the hub.
describeHubResponse_hubStatus :: Lens' DescribeHubResponse HubStatus Source #
The status of the hub.
describeHubResponse_creationTime :: Lens' DescribeHubResponse UTCTime Source #
The date and time that the hub was created.
describeHubResponse_lastModifiedTime :: Lens' DescribeHubResponse UTCTime Source #
The date and time that the hub was last modified.
DescribeHubContent
describeHubContent_hubContentVersion :: Lens' DescribeHubContent (Maybe Text) Source #
The version of the content to describe.
describeHubContent_hubName :: Lens' DescribeHubContent Text Source #
The name of the hub that contains the content to describe.
describeHubContent_hubContentType :: Lens' DescribeHubContent HubContentType Source #
The type of content in the hub.
describeHubContent_hubContentName :: Lens' DescribeHubContent Text Source #
The name of the content to describe.
describeHubContentResponse_failureReason :: Lens' DescribeHubContentResponse (Maybe Text) Source #
The failure reason if importing hub content failed.
describeHubContentResponse_hubContentDependencies :: Lens' DescribeHubContentResponse (Maybe [HubContentDependency]) Source #
The location of any dependencies that the hub content has, such as scripts, model artifacts, datasets, or notebooks.
describeHubContentResponse_hubContentDescription :: Lens' DescribeHubContentResponse (Maybe Text) Source #
A description of the hub content.
describeHubContentResponse_hubContentDisplayName :: Lens' DescribeHubContentResponse (Maybe Text) Source #
The display name of the hub content.
describeHubContentResponse_hubContentMarkdown :: Lens' DescribeHubContentResponse (Maybe Text) Source #
Markdown files associated with the hub content to import.
describeHubContentResponse_hubContentSearchKeywords :: Lens' DescribeHubContentResponse (Maybe [Text]) Source #
The searchable keywords for the hub content.
describeHubContentResponse_httpStatus :: Lens' DescribeHubContentResponse Int Source #
The response's http status code.
describeHubContentResponse_hubContentName :: Lens' DescribeHubContentResponse Text Source #
The name of the hub content.
describeHubContentResponse_hubContentArn :: Lens' DescribeHubContentResponse Text Source #
The Amazon Resource Name (ARN) of the hub content.
describeHubContentResponse_hubContentVersion :: Lens' DescribeHubContentResponse Text Source #
The version of the hub content.
describeHubContentResponse_hubContentType :: Lens' DescribeHubContentResponse HubContentType Source #
The type of hub content.
describeHubContentResponse_documentSchemaVersion :: Lens' DescribeHubContentResponse Text Source #
The document schema version for the hub content.
describeHubContentResponse_hubName :: Lens' DescribeHubContentResponse Text Source #
The name of the hub that contains the content.
describeHubContentResponse_hubArn :: Lens' DescribeHubContentResponse Text Source #
The Amazon Resource Name (ARN) of the hub that contains the content.
describeHubContentResponse_hubContentDocument :: Lens' DescribeHubContentResponse Text Source #
The hub content document that describes information about the hub content such as type, associated containers, scripts, and more.
describeHubContentResponse_hubContentStatus :: Lens' DescribeHubContentResponse HubContentStatus Source #
The status of the hub content.
describeHubContentResponse_creationTime :: Lens' DescribeHubContentResponse UTCTime Source #
The date and time that hub content was created.
DescribeHumanTaskUi
describeHumanTaskUi_humanTaskUiName :: Lens' DescribeHumanTaskUi Text Source #
The name of the human task user interface (worker task template) you want information about.
describeHumanTaskUiResponse_humanTaskUiStatus :: Lens' DescribeHumanTaskUiResponse (Maybe HumanTaskUiStatus) Source #
The status of the human task user interface (worker task template). Valid values are listed below.
describeHumanTaskUiResponse_httpStatus :: Lens' DescribeHumanTaskUiResponse Int Source #
The response's http status code.
describeHumanTaskUiResponse_humanTaskUiArn :: Lens' DescribeHumanTaskUiResponse Text Source #
The Amazon Resource Name (ARN) of the human task user interface (worker task template).
describeHumanTaskUiResponse_humanTaskUiName :: Lens' DescribeHumanTaskUiResponse Text Source #
The name of the human task user interface (worker task template).
describeHumanTaskUiResponse_creationTime :: Lens' DescribeHumanTaskUiResponse UTCTime Source #
The timestamp when the human task user interface was created.
describeHumanTaskUiResponse_uiTemplate :: Lens' DescribeHumanTaskUiResponse UiTemplateInfo Source #
Undocumented member.
DescribeHyperParameterTuningJob
describeHyperParameterTuningJob_hyperParameterTuningJobName :: Lens' DescribeHyperParameterTuningJob Text Source #
The name of the tuning job.
describeHyperParameterTuningJobResponse_bestTrainingJob :: Lens' DescribeHyperParameterTuningJobResponse (Maybe HyperParameterTrainingJobSummary) Source #
A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
describeHyperParameterTuningJobResponse_failureReason :: Lens' DescribeHyperParameterTuningJobResponse (Maybe Text) Source #
If the tuning job failed, the reason it failed.
describeHyperParameterTuningJobResponse_hyperParameterTuningEndTime :: Lens' DescribeHyperParameterTuningJobResponse (Maybe UTCTime) Source #
The date and time that the tuning job ended.
describeHyperParameterTuningJobResponse_lastModifiedTime :: Lens' DescribeHyperParameterTuningJobResponse (Maybe UTCTime) Source #
The date and time that the status of the tuning job was modified.
describeHyperParameterTuningJobResponse_overallBestTrainingJob :: Lens' DescribeHyperParameterTuningJobResponse (Maybe HyperParameterTrainingJobSummary) Source #
If the hyperparameter tuning job is an warm start tuning job with a
WarmStartType
of IDENTICAL_DATA_AND_ALGORITHM
, this is the
TrainingJobSummary for the training job with the best objective metric
value of all training jobs launched by this tuning job and all parent
jobs specified for the warm start tuning job.
describeHyperParameterTuningJobResponse_trainingJobDefinition :: Lens' DescribeHyperParameterTuningJobResponse (Maybe HyperParameterTrainingJobDefinition) Source #
The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
describeHyperParameterTuningJobResponse_trainingJobDefinitions :: Lens' DescribeHyperParameterTuningJobResponse (Maybe (NonEmpty HyperParameterTrainingJobDefinition)) Source #
A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
describeHyperParameterTuningJobResponse_warmStartConfig :: Lens' DescribeHyperParameterTuningJobResponse (Maybe HyperParameterTuningJobWarmStartConfig) Source #
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
describeHyperParameterTuningJobResponse_httpStatus :: Lens' DescribeHyperParameterTuningJobResponse Int Source #
The response's http status code.
describeHyperParameterTuningJobResponse_hyperParameterTuningJobName :: Lens' DescribeHyperParameterTuningJobResponse Text Source #
The name of the tuning job.
describeHyperParameterTuningJobResponse_hyperParameterTuningJobArn :: Lens' DescribeHyperParameterTuningJobResponse Text Source #
The Amazon Resource Name (ARN) of the tuning job.
describeHyperParameterTuningJobResponse_hyperParameterTuningJobConfig :: Lens' DescribeHyperParameterTuningJobResponse HyperParameterTuningJobConfig Source #
The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
describeHyperParameterTuningJobResponse_hyperParameterTuningJobStatus :: Lens' DescribeHyperParameterTuningJobResponse HyperParameterTuningJobStatus Source #
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
describeHyperParameterTuningJobResponse_creationTime :: Lens' DescribeHyperParameterTuningJobResponse UTCTime Source #
The date and time that the tuning job started.
describeHyperParameterTuningJobResponse_trainingJobStatusCounters :: Lens' DescribeHyperParameterTuningJobResponse TrainingJobStatusCounters Source #
The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
describeHyperParameterTuningJobResponse_objectiveStatusCounters :: Lens' DescribeHyperParameterTuningJobResponse ObjectiveStatusCounters Source #
The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.
DescribeImage
describeImage_imageName :: Lens' DescribeImage Text Source #
The name of the image to describe.
describeImageResponse_creationTime :: Lens' DescribeImageResponse (Maybe UTCTime) Source #
When the image was created.
describeImageResponse_description :: Lens' DescribeImageResponse (Maybe Text) Source #
The description of the image.
describeImageResponse_displayName :: Lens' DescribeImageResponse (Maybe Text) Source #
The name of the image as displayed.
describeImageResponse_failureReason :: Lens' DescribeImageResponse (Maybe Text) Source #
When a create, update, or delete operation fails, the reason for the failure.
describeImageResponse_imageArn :: Lens' DescribeImageResponse (Maybe Text) Source #
The ARN of the image.
describeImageResponse_imageName :: Lens' DescribeImageResponse (Maybe Text) Source #
The name of the image.
describeImageResponse_imageStatus :: Lens' DescribeImageResponse (Maybe ImageStatus) Source #
The status of the image.
describeImageResponse_lastModifiedTime :: Lens' DescribeImageResponse (Maybe UTCTime) Source #
When the image was last modified.
describeImageResponse_roleArn :: Lens' DescribeImageResponse (Maybe Text) Source #
The ARN of the IAM role that enables Amazon SageMaker to perform tasks on your behalf.
describeImageResponse_httpStatus :: Lens' DescribeImageResponse Int Source #
The response's http status code.
DescribeImageVersion
describeImageVersion_alias :: Lens' DescribeImageVersion (Maybe Text) Source #
The alias of the image version.
describeImageVersion_version :: Lens' DescribeImageVersion (Maybe Natural) Source #
The version of the image. If not specified, the latest version is described.
describeImageVersion_imageName :: Lens' DescribeImageVersion Text Source #
The name of the image.
describeImageVersionResponse_baseImage :: Lens' DescribeImageVersionResponse (Maybe Text) Source #
The registry path of the container image on which this image version is based.
describeImageVersionResponse_containerImage :: Lens' DescribeImageVersionResponse (Maybe Text) Source #
The registry path of the container image that contains this image version.
describeImageVersionResponse_creationTime :: Lens' DescribeImageVersionResponse (Maybe UTCTime) Source #
When the version was created.
describeImageVersionResponse_failureReason :: Lens' DescribeImageVersionResponse (Maybe Text) Source #
When a create or delete operation fails, the reason for the failure.
describeImageVersionResponse_horovod :: Lens' DescribeImageVersionResponse (Maybe Bool) Source #
Indicates Horovod compatibility.
describeImageVersionResponse_imageArn :: Lens' DescribeImageVersionResponse (Maybe Text) Source #
The ARN of the image the version is based on.
describeImageVersionResponse_imageVersionArn :: Lens' DescribeImageVersionResponse (Maybe Text) Source #
The ARN of the version.
describeImageVersionResponse_imageVersionStatus :: Lens' DescribeImageVersionResponse (Maybe ImageVersionStatus) Source #
The status of the version.
describeImageVersionResponse_jobType :: Lens' DescribeImageVersionResponse (Maybe JobType) Source #
Indicates SageMaker job type compatibility.
TRAINING
: The image version is compatible with SageMaker training jobs.INFERENCE
: The image version is compatible with SageMaker inference jobs.NOTEBOOK_KERNEL
: The image version is compatible with SageMaker notebook kernels.
describeImageVersionResponse_lastModifiedTime :: Lens' DescribeImageVersionResponse (Maybe UTCTime) Source #
When the version was last modified.
describeImageVersionResponse_mLFramework :: Lens' DescribeImageVersionResponse (Maybe Text) Source #
The machine learning framework vended in the image version.
describeImageVersionResponse_processor :: Lens' DescribeImageVersionResponse (Maybe Processor) Source #
Indicates CPU or GPU compatibility.
CPU
: The image version is compatible with CPU.GPU
: The image version is compatible with GPU.
describeImageVersionResponse_programmingLang :: Lens' DescribeImageVersionResponse (Maybe Text) Source #
The supported programming language and its version.
describeImageVersionResponse_releaseNotes :: Lens' DescribeImageVersionResponse (Maybe Text) Source #
The maintainer description of the image version.
describeImageVersionResponse_vendorGuidance :: Lens' DescribeImageVersionResponse (Maybe VendorGuidance) Source #
The stability of the image version specified by the maintainer.
NOT_PROVIDED
: The maintainers did not provide a status for image version stability.STABLE
: The image version is stable.TO_BE_ARCHIVED
: The image version is set to be archived. Custom image versions that are set to be archived are automatically archived after three months.ARCHIVED
: The image version is archived. Archived image versions are not searchable and are no longer actively supported.
describeImageVersionResponse_version :: Lens' DescribeImageVersionResponse (Maybe Natural) Source #
The version number.
describeImageVersionResponse_httpStatus :: Lens' DescribeImageVersionResponse Int Source #
The response's http status code.
DescribeInferenceExperiment
describeInferenceExperiment_name :: Lens' DescribeInferenceExperiment Text Source #
The name of the inference experiment to describe.
describeInferenceExperimentResponse_completionTime :: Lens' DescribeInferenceExperimentResponse (Maybe UTCTime) Source #
The timestamp at which the inference experiment was completed.
describeInferenceExperimentResponse_creationTime :: Lens' DescribeInferenceExperimentResponse (Maybe UTCTime) Source #
The timestamp at which you created the inference experiment.
describeInferenceExperimentResponse_dataStorageConfig :: Lens' DescribeInferenceExperimentResponse (Maybe InferenceExperimentDataStorageConfig) Source #
The Amazon S3 location and configuration for storing inference request and response data.
describeInferenceExperimentResponse_description :: Lens' DescribeInferenceExperimentResponse (Maybe Text) Source #
The description of the inference experiment.
describeInferenceExperimentResponse_kmsKey :: Lens' DescribeInferenceExperimentResponse (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperimentRequest$KmsKey.
describeInferenceExperimentResponse_lastModifiedTime :: Lens' DescribeInferenceExperimentResponse (Maybe UTCTime) Source #
The timestamp at which you last modified the inference experiment.
describeInferenceExperimentResponse_roleArn :: Lens' DescribeInferenceExperimentResponse (Maybe Text) Source #
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
describeInferenceExperimentResponse_schedule :: Lens' DescribeInferenceExperimentResponse (Maybe InferenceExperimentSchedule) Source #
The duration for which the inference experiment ran or will run.
describeInferenceExperimentResponse_shadowModeConfig :: Lens' DescribeInferenceExperimentResponse (Maybe ShadowModeConfig) Source #
The configuration of ShadowMode
inference experiment type, which shows
the production variant that takes all the inference requests, and the
shadow variant to which Amazon SageMaker replicates a percentage of the
inference requests. For the shadow variant it also shows the percentage
of requests that Amazon SageMaker replicates.
describeInferenceExperimentResponse_statusReason :: Lens' DescribeInferenceExperimentResponse (Maybe Text) Source #
The error message or client-specified Reason
from the
StopInferenceExperiment API, that explains the status of the inference
experiment.
describeInferenceExperimentResponse_httpStatus :: Lens' DescribeInferenceExperimentResponse Int Source #
The response's http status code.
describeInferenceExperimentResponse_arn :: Lens' DescribeInferenceExperimentResponse Text Source #
The ARN of the inference experiment being described.
describeInferenceExperimentResponse_name :: Lens' DescribeInferenceExperimentResponse Text Source #
The name of the inference experiment.
describeInferenceExperimentResponse_type :: Lens' DescribeInferenceExperimentResponse InferenceExperimentType Source #
The type of the inference experiment.
describeInferenceExperimentResponse_status :: Lens' DescribeInferenceExperimentResponse InferenceExperimentStatus Source #
The status of the inference experiment. The following are the possible statuses for an inference experiment:
Creating
- Amazon SageMaker is creating your experiment.Created
- Amazon SageMaker has finished the creation of your experiment and will begin the experiment at the scheduled time.Updating
- When you make changes to your experiment, your experiment shows as updating.Starting
- Amazon SageMaker is beginning your experiment.Running
- Your experiment is in progress.Stopping
- Amazon SageMaker is stopping your experiment.Completed
- Your experiment has completed.Cancelled
- When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.
describeInferenceExperimentResponse_endpointMetadata :: Lens' DescribeInferenceExperimentResponse EndpointMetadata Source #
The metadata of the endpoint on which the inference experiment ran.
describeInferenceExperimentResponse_modelVariants :: Lens' DescribeInferenceExperimentResponse [ModelVariantConfigSummary] Source #
An array of ModelVariantConfigSummary
objects. There is one for each
variant in the inference experiment. Each ModelVariantConfigSummary
object in the array describes the infrastructure configuration for
deploying the corresponding variant.
DescribeInferenceRecommendationsJob
describeInferenceRecommendationsJob_jobName :: Lens' DescribeInferenceRecommendationsJob Text Source #
The name of the job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
describeInferenceRecommendationsJobResponse_completionTime :: Lens' DescribeInferenceRecommendationsJobResponse (Maybe UTCTime) Source #
A timestamp that shows when the job completed.
describeInferenceRecommendationsJobResponse_endpointPerformances :: Lens' DescribeInferenceRecommendationsJobResponse (Maybe [EndpointPerformance]) Source #
The performance results from running an Inference Recommender job on an existing endpoint.
describeInferenceRecommendationsJobResponse_failureReason :: Lens' DescribeInferenceRecommendationsJobResponse (Maybe Text) Source #
If the job fails, provides information why the job failed.
describeInferenceRecommendationsJobResponse_inferenceRecommendations :: Lens' DescribeInferenceRecommendationsJobResponse (Maybe (NonEmpty InferenceRecommendation)) Source #
The recommendations made by Inference Recommender.
describeInferenceRecommendationsJobResponse_jobDescription :: Lens' DescribeInferenceRecommendationsJobResponse (Maybe Text) Source #
The job description that you provided when you initiated the job.
describeInferenceRecommendationsJobResponse_stoppingConditions :: Lens' DescribeInferenceRecommendationsJobResponse (Maybe RecommendationJobStoppingConditions) Source #
The stopping conditions that you provided when you initiated the job.
describeInferenceRecommendationsJobResponse_httpStatus :: Lens' DescribeInferenceRecommendationsJobResponse Int Source #
The response's http status code.
describeInferenceRecommendationsJobResponse_jobName :: Lens' DescribeInferenceRecommendationsJobResponse Text Source #
The name of the job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
describeInferenceRecommendationsJobResponse_jobType :: Lens' DescribeInferenceRecommendationsJobResponse RecommendationJobType Source #
The job type that you provided when you initiated the job.
describeInferenceRecommendationsJobResponse_jobArn :: Lens' DescribeInferenceRecommendationsJobResponse Text Source #
The Amazon Resource Name (ARN) of the job.
describeInferenceRecommendationsJobResponse_roleArn :: Lens' DescribeInferenceRecommendationsJobResponse Text Source #
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role you provided when you initiated the job.
describeInferenceRecommendationsJobResponse_status :: Lens' DescribeInferenceRecommendationsJobResponse RecommendationJobStatus Source #
The status of the job.
describeInferenceRecommendationsJobResponse_creationTime :: Lens' DescribeInferenceRecommendationsJobResponse UTCTime Source #
A timestamp that shows when the job was created.
describeInferenceRecommendationsJobResponse_lastModifiedTime :: Lens' DescribeInferenceRecommendationsJobResponse UTCTime Source #
A timestamp that shows when the job was last modified.
describeInferenceRecommendationsJobResponse_inputConfig :: Lens' DescribeInferenceRecommendationsJobResponse RecommendationJobInputConfig Source #
Returns information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations you provided when you initiated the job.
DescribeLabelingJob
describeLabelingJob_labelingJobName :: Lens' DescribeLabelingJob Text Source #
The name of the labeling job to return information for.
describeLabelingJobResponse_failureReason :: Lens' DescribeLabelingJobResponse (Maybe Text) Source #
If the job failed, the reason that it failed.
describeLabelingJobResponse_labelAttributeName :: Lens' DescribeLabelingJobResponse (Maybe Text) Source #
The attribute used as the label in the output manifest file.
describeLabelingJobResponse_labelCategoryConfigS3Uri :: Lens' DescribeLabelingJobResponse (Maybe Text) Source #
The S3 location of the JSON file that defines the categories used to label data objects. Please note the following label-category limits:
- Semantic segmentation labeling jobs using automated labeling: 20 labels
- Box bounding labeling jobs (all): 10 labels
The file is a JSON structure in the following format:
{
"document-version": "2018-11-28"
"labels": [
{
"label": "
label 1
"
},
{
"label": "
label 2
"
},
...
{
"label": "
label n
"
}
]
}
describeLabelingJobResponse_labelingJobAlgorithmsConfig :: Lens' DescribeLabelingJobResponse (Maybe LabelingJobAlgorithmsConfig) Source #
Configuration information for automated data labeling.
describeLabelingJobResponse_labelingJobOutput :: Lens' DescribeLabelingJobResponse (Maybe LabelingJobOutput) Source #
The location of the output produced by the labeling job.
describeLabelingJobResponse_stoppingConditions :: Lens' DescribeLabelingJobResponse (Maybe LabelingJobStoppingConditions) Source #
A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped.
describeLabelingJobResponse_tags :: Lens' DescribeLabelingJobResponse (Maybe [Tag]) Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
describeLabelingJobResponse_httpStatus :: Lens' DescribeLabelingJobResponse Int Source #
The response's http status code.
describeLabelingJobResponse_labelingJobStatus :: Lens' DescribeLabelingJobResponse LabelingJobStatus Source #
The processing status of the labeling job.
describeLabelingJobResponse_labelCounters :: Lens' DescribeLabelingJobResponse LabelCounters Source #
Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine, the number of objects than couldn't be labeled, and the total number of objects labeled.
describeLabelingJobResponse_creationTime :: Lens' DescribeLabelingJobResponse UTCTime Source #
The date and time that the labeling job was created.
describeLabelingJobResponse_lastModifiedTime :: Lens' DescribeLabelingJobResponse UTCTime Source #
The date and time that the labeling job was last updated.
describeLabelingJobResponse_jobReferenceCode :: Lens' DescribeLabelingJobResponse Text Source #
A unique identifier for work done as part of a labeling job.
describeLabelingJobResponse_labelingJobName :: Lens' DescribeLabelingJobResponse Text Source #
The name assigned to the labeling job when it was created.
describeLabelingJobResponse_labelingJobArn :: Lens' DescribeLabelingJobResponse Text Source #
The Amazon Resource Name (ARN) of the labeling job.
describeLabelingJobResponse_inputConfig :: Lens' DescribeLabelingJobResponse LabelingJobInputConfig Source #
Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
describeLabelingJobResponse_outputConfig :: Lens' DescribeLabelingJobResponse LabelingJobOutputConfig Source #
The location of the job's output data and the Amazon Web Services Key Management Service key ID for the key used to encrypt the output data, if any.
describeLabelingJobResponse_roleArn :: Lens' DescribeLabelingJobResponse Text Source #
The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during data labeling.
describeLabelingJobResponse_humanTaskConfig :: Lens' DescribeLabelingJobResponse HumanTaskConfig Source #
Configuration information required for human workers to complete a labeling task.
DescribeLineageGroup
describeLineageGroup_lineageGroupName :: Lens' DescribeLineageGroup Text Source #
The name of the lineage group.
describeLineageGroupResponse_createdBy :: Lens' DescribeLineageGroupResponse (Maybe UserContext) Source #
Undocumented member.
describeLineageGroupResponse_creationTime :: Lens' DescribeLineageGroupResponse (Maybe UTCTime) Source #
The creation time of lineage group.
describeLineageGroupResponse_description :: Lens' DescribeLineageGroupResponse (Maybe Text) Source #
The description of the lineage group.
describeLineageGroupResponse_displayName :: Lens' DescribeLineageGroupResponse (Maybe Text) Source #
The display name of the lineage group.
describeLineageGroupResponse_lastModifiedBy :: Lens' DescribeLineageGroupResponse (Maybe UserContext) Source #
Undocumented member.
describeLineageGroupResponse_lastModifiedTime :: Lens' DescribeLineageGroupResponse (Maybe UTCTime) Source #
The last modified time of the lineage group.
describeLineageGroupResponse_lineageGroupArn :: Lens' DescribeLineageGroupResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the lineage group.
describeLineageGroupResponse_lineageGroupName :: Lens' DescribeLineageGroupResponse (Maybe Text) Source #
The name of the lineage group.
describeLineageGroupResponse_httpStatus :: Lens' DescribeLineageGroupResponse Int Source #
The response's http status code.
DescribeModel
describeModel_modelName :: Lens' DescribeModel Text Source #
The name of the model.
describeModelResponse_containers :: Lens' DescribeModelResponse (Maybe [ContainerDefinition]) Source #
The containers in the inference pipeline.
describeModelResponse_enableNetworkIsolation :: Lens' DescribeModelResponse (Maybe Bool) Source #
If True
, no inbound or outbound network calls can be made to or from
the model container.
describeModelResponse_inferenceExecutionConfig :: Lens' DescribeModelResponse (Maybe InferenceExecutionConfig) Source #
Specifies details of how containers in a multi-container endpoint are called.
describeModelResponse_primaryContainer :: Lens' DescribeModelResponse (Maybe ContainerDefinition) Source #
The location of the primary inference code, associated artifacts, and custom environment map that the inference code uses when it is deployed in production.
describeModelResponse_vpcConfig :: Lens' DescribeModelResponse (Maybe VpcConfig) Source #
A VpcConfig object that specifies the VPC that this model has access to. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud
describeModelResponse_httpStatus :: Lens' DescribeModelResponse Int Source #
The response's http status code.
describeModelResponse_modelName :: Lens' DescribeModelResponse Text Source #
Name of the SageMaker model.
describeModelResponse_executionRoleArn :: Lens' DescribeModelResponse Text Source #
The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
describeModelResponse_creationTime :: Lens' DescribeModelResponse UTCTime Source #
A timestamp that shows when the model was created.
describeModelResponse_modelArn :: Lens' DescribeModelResponse Text Source #
The Amazon Resource Name (ARN) of the model.
DescribeModelBiasJobDefinition
describeModelBiasJobDefinition_jobDefinitionName :: Lens' DescribeModelBiasJobDefinition Text Source #
The name of the model bias job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
describeModelBiasJobDefinitionResponse_modelBiasBaselineConfig :: Lens' DescribeModelBiasJobDefinitionResponse (Maybe ModelBiasBaselineConfig) Source #
The baseline configuration for a model bias job.
describeModelBiasJobDefinitionResponse_networkConfig :: Lens' DescribeModelBiasJobDefinitionResponse (Maybe MonitoringNetworkConfig) Source #
Networking options for a model bias job.
describeModelBiasJobDefinitionResponse_stoppingCondition :: Lens' DescribeModelBiasJobDefinitionResponse (Maybe MonitoringStoppingCondition) Source #
Undocumented member.
describeModelBiasJobDefinitionResponse_httpStatus :: Lens' DescribeModelBiasJobDefinitionResponse Int Source #
The response's http status code.
describeModelBiasJobDefinitionResponse_jobDefinitionArn :: Lens' DescribeModelBiasJobDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the model bias job.
describeModelBiasJobDefinitionResponse_jobDefinitionName :: Lens' DescribeModelBiasJobDefinitionResponse Text Source #
The name of the bias job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
describeModelBiasJobDefinitionResponse_creationTime :: Lens' DescribeModelBiasJobDefinitionResponse UTCTime Source #
The time at which the model bias job was created.
describeModelBiasJobDefinitionResponse_modelBiasAppSpecification :: Lens' DescribeModelBiasJobDefinitionResponse ModelBiasAppSpecification Source #
Configures the model bias job to run a specified Docker container image.
describeModelBiasJobDefinitionResponse_modelBiasJobInput :: Lens' DescribeModelBiasJobDefinitionResponse ModelBiasJobInput Source #
Inputs for the model bias job.
describeModelBiasJobDefinitionResponse_modelBiasJobOutputConfig :: Lens' DescribeModelBiasJobDefinitionResponse MonitoringOutputConfig Source #
Undocumented member.
describeModelBiasJobDefinitionResponse_jobResources :: Lens' DescribeModelBiasJobDefinitionResponse MonitoringResources Source #
Undocumented member.
describeModelBiasJobDefinitionResponse_roleArn :: Lens' DescribeModelBiasJobDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role that has read permission to the input data location and write permission to the output data location in Amazon S3.
DescribeModelCard
describeModelCard_modelCardVersion :: Lens' DescribeModelCard (Maybe Int) Source #
The version of the model card to describe. If a version is not provided, then the latest version of the model card is described.
describeModelCard_modelCardName :: Lens' DescribeModelCard Text Source #
The name of the model card to describe.
describeModelCardResponse_lastModifiedBy :: Lens' DescribeModelCardResponse (Maybe UserContext) Source #
Undocumented member.
describeModelCardResponse_lastModifiedTime :: Lens' DescribeModelCardResponse (Maybe UTCTime) Source #
The date and time the model card was last modified.
describeModelCardResponse_modelCardProcessingStatus :: Lens' DescribeModelCardResponse (Maybe ModelCardProcessingStatus) Source #
The processing status of model card deletion. The
ModelCardProcessingStatus
updates throughout the different deletion
steps.
DeletePending
: Model card deletion request received.DeleteInProgress
: Model card deletion is in progress.ContentDeleted
: Deleted model card content.ExportJobsDeleted
: Deleted all export jobs associated with the model card.DeleteCompleted
: Successfully deleted the model card.DeleteFailed
: The model card failed to delete.
describeModelCardResponse_securityConfig :: Lens' DescribeModelCardResponse (Maybe ModelCardSecurityConfig) Source #
The security configuration used to protect model card content.
describeModelCardResponse_httpStatus :: Lens' DescribeModelCardResponse Int Source #
The response's http status code.
describeModelCardResponse_modelCardArn :: Lens' DescribeModelCardResponse Text Source #
The Amazon Resource Name (ARN) of the model card.
describeModelCardResponse_modelCardName :: Lens' DescribeModelCardResponse Text Source #
The name of the model card.
describeModelCardResponse_modelCardVersion :: Lens' DescribeModelCardResponse Int Source #
The version of the model card.
describeModelCardResponse_content :: Lens' DescribeModelCardResponse Text Source #
The content of the model card.
describeModelCardResponse_modelCardStatus :: Lens' DescribeModelCardResponse ModelCardStatus Source #
The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft
: The model card is a work in progress.PendingReview
: The model card is pending review.Approved
: The model card is approved.Archived
: The model card is archived. No more updates should be made to the model card, but it can still be exported.
describeModelCardResponse_creationTime :: Lens' DescribeModelCardResponse UTCTime Source #
The date and time the model card was created.
describeModelCardResponse_createdBy :: Lens' DescribeModelCardResponse UserContext Source #
Undocumented member.
DescribeModelCardExportJob
describeModelCardExportJob_modelCardExportJobArn :: Lens' DescribeModelCardExportJob Text Source #
The Amazon Resource Name (ARN) of the model card export job to describe.
describeModelCardExportJobResponse_exportArtifacts :: Lens' DescribeModelCardExportJobResponse (Maybe ModelCardExportArtifacts) Source #
The exported model card artifacts.
describeModelCardExportJobResponse_failureReason :: Lens' DescribeModelCardExportJobResponse (Maybe Text) Source #
The failure reason if the model export job fails.
describeModelCardExportJobResponse_httpStatus :: Lens' DescribeModelCardExportJobResponse Int Source #
The response's http status code.
describeModelCardExportJobResponse_modelCardExportJobName :: Lens' DescribeModelCardExportJobResponse Text Source #
The name of the model card export job to describe.
describeModelCardExportJobResponse_modelCardExportJobArn :: Lens' DescribeModelCardExportJobResponse Text Source #
The Amazon Resource Name (ARN) of the model card export job.
describeModelCardExportJobResponse_status :: Lens' DescribeModelCardExportJobResponse ModelCardExportJobStatus Source #
The completion status of the model card export job.
InProgress
: The model card export job is in progress.Completed
: The model card export job is complete.Failed
: The model card export job failed. To see the reason for the failure, see theFailureReason
field in the response to aDescribeModelCardExportJob
call.
describeModelCardExportJobResponse_modelCardName :: Lens' DescribeModelCardExportJobResponse Text Source #
The name of the model card that the model export job exports.
describeModelCardExportJobResponse_modelCardVersion :: Lens' DescribeModelCardExportJobResponse Int Source #
The version of the model card that the model export job exports.
describeModelCardExportJobResponse_outputConfig :: Lens' DescribeModelCardExportJobResponse ModelCardExportOutputConfig Source #
The export output details for the model card.
describeModelCardExportJobResponse_createdAt :: Lens' DescribeModelCardExportJobResponse UTCTime Source #
The date and time that the model export job was created.
describeModelCardExportJobResponse_lastModifiedAt :: Lens' DescribeModelCardExportJobResponse UTCTime Source #
The date and time that the model export job was last modified.
DescribeModelExplainabilityJobDefinition
describeModelExplainabilityJobDefinition_jobDefinitionName :: Lens' DescribeModelExplainabilityJobDefinition Text Source #
The name of the model explainability job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
describeModelExplainabilityJobDefinitionResponse_modelExplainabilityBaselineConfig :: Lens' DescribeModelExplainabilityJobDefinitionResponse (Maybe ModelExplainabilityBaselineConfig) Source #
The baseline configuration for a model explainability job.
describeModelExplainabilityJobDefinitionResponse_networkConfig :: Lens' DescribeModelExplainabilityJobDefinitionResponse (Maybe MonitoringNetworkConfig) Source #
Networking options for a model explainability job.
describeModelExplainabilityJobDefinitionResponse_stoppingCondition :: Lens' DescribeModelExplainabilityJobDefinitionResponse (Maybe MonitoringStoppingCondition) Source #
Undocumented member.
describeModelExplainabilityJobDefinitionResponse_httpStatus :: Lens' DescribeModelExplainabilityJobDefinitionResponse Int Source #
The response's http status code.
describeModelExplainabilityJobDefinitionResponse_jobDefinitionArn :: Lens' DescribeModelExplainabilityJobDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the model explainability job.
describeModelExplainabilityJobDefinitionResponse_jobDefinitionName :: Lens' DescribeModelExplainabilityJobDefinitionResponse Text Source #
The name of the explainability job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
describeModelExplainabilityJobDefinitionResponse_creationTime :: Lens' DescribeModelExplainabilityJobDefinitionResponse UTCTime Source #
The time at which the model explainability job was created.
describeModelExplainabilityJobDefinitionResponse_modelExplainabilityAppSpecification :: Lens' DescribeModelExplainabilityJobDefinitionResponse ModelExplainabilityAppSpecification Source #
Configures the model explainability job to run a specified Docker container image.
describeModelExplainabilityJobDefinitionResponse_modelExplainabilityJobInput :: Lens' DescribeModelExplainabilityJobDefinitionResponse ModelExplainabilityJobInput Source #
Inputs for the model explainability job.
describeModelExplainabilityJobDefinitionResponse_modelExplainabilityJobOutputConfig :: Lens' DescribeModelExplainabilityJobDefinitionResponse MonitoringOutputConfig Source #
Undocumented member.
describeModelExplainabilityJobDefinitionResponse_jobResources :: Lens' DescribeModelExplainabilityJobDefinitionResponse MonitoringResources Source #
Undocumented member.
describeModelExplainabilityJobDefinitionResponse_roleArn :: Lens' DescribeModelExplainabilityJobDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role that has read permission to the input data location and write permission to the output data location in Amazon S3.
DescribeModelPackage
describeModelPackage_modelPackageName :: Lens' DescribeModelPackage Text Source #
The name or Amazon Resource Name (ARN) of the model package to describe.
When you specify a name, the name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
describeModelPackageResponse_additionalInferenceSpecifications :: Lens' DescribeModelPackageResponse (Maybe (NonEmpty AdditionalInferenceSpecificationDefinition)) Source #
An array of additional Inference Specification objects. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
describeModelPackageResponse_approvalDescription :: Lens' DescribeModelPackageResponse (Maybe Text) Source #
A description provided for the model approval.
describeModelPackageResponse_certifyForMarketplace :: Lens' DescribeModelPackageResponse (Maybe Bool) Source #
Whether the model package is certified for listing on Amazon Web Services Marketplace.
describeModelPackageResponse_createdBy :: Lens' DescribeModelPackageResponse (Maybe UserContext) Source #
Undocumented member.
describeModelPackageResponse_customerMetadataProperties :: Lens' DescribeModelPackageResponse (Maybe (HashMap Text Text)) Source #
The metadata properties associated with the model package versions.
describeModelPackageResponse_domain :: Lens' DescribeModelPackageResponse (Maybe Text) Source #
The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
describeModelPackageResponse_driftCheckBaselines :: Lens' DescribeModelPackageResponse (Maybe DriftCheckBaselines) Source #
Represents the drift check baselines that can be used when the model monitor is set using the model package. For more information, see the topic on Drift Detection against Previous Baselines in SageMaker Pipelines in the Amazon SageMaker Developer Guide.
describeModelPackageResponse_inferenceSpecification :: Lens' DescribeModelPackageResponse (Maybe InferenceSpecification) Source #
Details about inference jobs that can be run with models based on this model package.
describeModelPackageResponse_lastModifiedBy :: Lens' DescribeModelPackageResponse (Maybe UserContext) Source #
Undocumented member.
describeModelPackageResponse_lastModifiedTime :: Lens' DescribeModelPackageResponse (Maybe UTCTime) Source #
The last time that the model package was modified.
describeModelPackageResponse_metadataProperties :: Lens' DescribeModelPackageResponse (Maybe MetadataProperties) Source #
Undocumented member.
describeModelPackageResponse_modelApprovalStatus :: Lens' DescribeModelPackageResponse (Maybe ModelApprovalStatus) Source #
The approval status of the model package.
describeModelPackageResponse_modelMetrics :: Lens' DescribeModelPackageResponse (Maybe ModelMetrics) Source #
Metrics for the model.
describeModelPackageResponse_modelPackageDescription :: Lens' DescribeModelPackageResponse (Maybe Text) Source #
A brief summary of the model package.
describeModelPackageResponse_modelPackageGroupName :: Lens' DescribeModelPackageResponse (Maybe Text) Source #
If the model is a versioned model, the name of the model group that the versioned model belongs to.
describeModelPackageResponse_modelPackageVersion :: Lens' DescribeModelPackageResponse (Maybe Natural) Source #
The version of the model package.
describeModelPackageResponse_samplePayloadUrl :: Lens' DescribeModelPackageResponse (Maybe Text) Source #
The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored. This path points to a single gzip compressed tar archive (.tar.gz suffix).
describeModelPackageResponse_sourceAlgorithmSpecification :: Lens' DescribeModelPackageResponse (Maybe SourceAlgorithmSpecification) Source #
Details about the algorithm that was used to create the model package.
describeModelPackageResponse_task :: Lens' DescribeModelPackageResponse (Maybe Text) Source #
The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.
describeModelPackageResponse_validationSpecification :: Lens' DescribeModelPackageResponse (Maybe ModelPackageValidationSpecification) Source #
Configurations for one or more transform jobs that SageMaker runs to test the model package.
describeModelPackageResponse_httpStatus :: Lens' DescribeModelPackageResponse Int Source #
The response's http status code.
describeModelPackageResponse_modelPackageName :: Lens' DescribeModelPackageResponse Text Source #
The name of the model package being described.
describeModelPackageResponse_modelPackageArn :: Lens' DescribeModelPackageResponse Text Source #
The Amazon Resource Name (ARN) of the model package.
describeModelPackageResponse_creationTime :: Lens' DescribeModelPackageResponse UTCTime Source #
A timestamp specifying when the model package was created.
describeModelPackageResponse_modelPackageStatus :: Lens' DescribeModelPackageResponse ModelPackageStatus Source #
The current status of the model package.
describeModelPackageResponse_modelPackageStatusDetails :: Lens' DescribeModelPackageResponse ModelPackageStatusDetails Source #
Details about the current status of the model package.
DescribeModelPackageGroup
describeModelPackageGroup_modelPackageGroupName :: Lens' DescribeModelPackageGroup Text Source #
The name of gthe model group to describe.
describeModelPackageGroupResponse_modelPackageGroupDescription :: Lens' DescribeModelPackageGroupResponse (Maybe Text) Source #
A description of the model group.
describeModelPackageGroupResponse_httpStatus :: Lens' DescribeModelPackageGroupResponse Int Source #
The response's http status code.
describeModelPackageGroupResponse_modelPackageGroupName :: Lens' DescribeModelPackageGroupResponse Text Source #
The name of the model group.
describeModelPackageGroupResponse_modelPackageGroupArn :: Lens' DescribeModelPackageGroupResponse Text Source #
The Amazon Resource Name (ARN) of the model group.
describeModelPackageGroupResponse_creationTime :: Lens' DescribeModelPackageGroupResponse UTCTime Source #
The time that the model group was created.
describeModelPackageGroupResponse_createdBy :: Lens' DescribeModelPackageGroupResponse UserContext Source #
Undocumented member.
describeModelPackageGroupResponse_modelPackageGroupStatus :: Lens' DescribeModelPackageGroupResponse ModelPackageGroupStatus Source #
The status of the model group.
DescribeModelQualityJobDefinition
describeModelQualityJobDefinition_jobDefinitionName :: Lens' DescribeModelQualityJobDefinition Text Source #
The name of the model quality job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
describeModelQualityJobDefinitionResponse_modelQualityBaselineConfig :: Lens' DescribeModelQualityJobDefinitionResponse (Maybe ModelQualityBaselineConfig) Source #
The baseline configuration for a model quality job.
describeModelQualityJobDefinitionResponse_networkConfig :: Lens' DescribeModelQualityJobDefinitionResponse (Maybe MonitoringNetworkConfig) Source #
Networking options for a model quality job.
describeModelQualityJobDefinitionResponse_stoppingCondition :: Lens' DescribeModelQualityJobDefinitionResponse (Maybe MonitoringStoppingCondition) Source #
Undocumented member.
describeModelQualityJobDefinitionResponse_httpStatus :: Lens' DescribeModelQualityJobDefinitionResponse Int Source #
The response's http status code.
describeModelQualityJobDefinitionResponse_jobDefinitionArn :: Lens' DescribeModelQualityJobDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of the model quality job.
describeModelQualityJobDefinitionResponse_jobDefinitionName :: Lens' DescribeModelQualityJobDefinitionResponse Text Source #
The name of the quality job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
describeModelQualityJobDefinitionResponse_creationTime :: Lens' DescribeModelQualityJobDefinitionResponse UTCTime Source #
The time at which the model quality job was created.
describeModelQualityJobDefinitionResponse_modelQualityAppSpecification :: Lens' DescribeModelQualityJobDefinitionResponse ModelQualityAppSpecification Source #
Configures the model quality job to run a specified Docker container image.
describeModelQualityJobDefinitionResponse_modelQualityJobInput :: Lens' DescribeModelQualityJobDefinitionResponse ModelQualityJobInput Source #
Inputs for the model quality job.
describeModelQualityJobDefinitionResponse_modelQualityJobOutputConfig :: Lens' DescribeModelQualityJobDefinitionResponse MonitoringOutputConfig Source #
Undocumented member.
describeModelQualityJobDefinitionResponse_jobResources :: Lens' DescribeModelQualityJobDefinitionResponse MonitoringResources Source #
Undocumented member.
describeModelQualityJobDefinitionResponse_roleArn :: Lens' DescribeModelQualityJobDefinitionResponse Text Source #
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
DescribeMonitoringSchedule
describeMonitoringSchedule_monitoringScheduleName :: Lens' DescribeMonitoringSchedule Text Source #
Name of a previously created monitoring schedule.
describeMonitoringScheduleResponse_endpointName :: Lens' DescribeMonitoringScheduleResponse (Maybe Text) Source #
The name of the endpoint for the monitoring job.
describeMonitoringScheduleResponse_failureReason :: Lens' DescribeMonitoringScheduleResponse (Maybe Text) Source #
A string, up to one KB in size, that contains the reason a monitoring job failed, if it failed.
describeMonitoringScheduleResponse_lastMonitoringExecutionSummary :: Lens' DescribeMonitoringScheduleResponse (Maybe MonitoringExecutionSummary) Source #
Describes metadata on the last execution to run, if there was one.
describeMonitoringScheduleResponse_monitoringType :: Lens' DescribeMonitoringScheduleResponse (Maybe MonitoringType) Source #
The type of the monitoring job that this schedule runs. This is one of the following values.
DATA_QUALITY
- The schedule is for a data quality monitoring job.MODEL_QUALITY
- The schedule is for a model quality monitoring job.MODEL_BIAS
- The schedule is for a bias monitoring job.MODEL_EXPLAINABILITY
- The schedule is for an explainability monitoring job.
describeMonitoringScheduleResponse_httpStatus :: Lens' DescribeMonitoringScheduleResponse Int Source #
The response's http status code.
describeMonitoringScheduleResponse_monitoringScheduleArn :: Lens' DescribeMonitoringScheduleResponse Text Source #
The Amazon Resource Name (ARN) of the monitoring schedule.
describeMonitoringScheduleResponse_monitoringScheduleName :: Lens' DescribeMonitoringScheduleResponse Text Source #
Name of the monitoring schedule.
describeMonitoringScheduleResponse_monitoringScheduleStatus :: Lens' DescribeMonitoringScheduleResponse ScheduleStatus Source #
The status of an monitoring job.
describeMonitoringScheduleResponse_creationTime :: Lens' DescribeMonitoringScheduleResponse UTCTime Source #
The time at which the monitoring job was created.
describeMonitoringScheduleResponse_lastModifiedTime :: Lens' DescribeMonitoringScheduleResponse UTCTime Source #
The time at which the monitoring job was last modified.
describeMonitoringScheduleResponse_monitoringScheduleConfig :: Lens' DescribeMonitoringScheduleResponse MonitoringScheduleConfig Source #
The configuration object that specifies the monitoring schedule and defines the monitoring job.
DescribeNotebookInstance
describeNotebookInstance_notebookInstanceName :: Lens' DescribeNotebookInstance Text Source #
The name of the notebook instance that you want information about.
describeNotebookInstanceResponse_acceleratorTypes :: Lens' DescribeNotebookInstanceResponse (Maybe [NotebookInstanceAcceleratorType]) Source #
A list of the Elastic Inference (EI) instance types associated with this notebook instance. Currently only one EI instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker.
describeNotebookInstanceResponse_additionalCodeRepositories :: Lens' DescribeNotebookInstanceResponse (Maybe [Text]) Source #
An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker Notebook Instances.
describeNotebookInstanceResponse_creationTime :: Lens' DescribeNotebookInstanceResponse (Maybe UTCTime) Source #
A timestamp. Use this parameter to return the time when the notebook instance was created
describeNotebookInstanceResponse_defaultCodeRepository :: Lens' DescribeNotebookInstanceResponse (Maybe Text) Source #
The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker Notebook Instances.
describeNotebookInstanceResponse_directInternetAccess :: Lens' DescribeNotebookInstanceResponse (Maybe DirectInternetAccess) Source #
Describes whether SageMaker provides internet access to the notebook instance. If this value is set to Disabled, the notebook instance does not have internet access, and cannot connect to SageMaker training and endpoint services.
For more information, see Notebook Instances Are Internet-Enabled by Default.
describeNotebookInstanceResponse_failureReason :: Lens' DescribeNotebookInstanceResponse (Maybe Text) Source #
If status is Failed
, the reason it failed.
describeNotebookInstanceResponse_instanceMetadataServiceConfiguration :: Lens' DescribeNotebookInstanceResponse (Maybe InstanceMetadataServiceConfiguration) Source #
Information on the IMDS configuration of the notebook instance
describeNotebookInstanceResponse_instanceType :: Lens' DescribeNotebookInstanceResponse (Maybe InstanceType) Source #
The type of ML compute instance running on the notebook instance.
describeNotebookInstanceResponse_kmsKeyId :: Lens' DescribeNotebookInstanceResponse (Maybe Text) Source #
The Amazon Web Services KMS key ID SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
describeNotebookInstanceResponse_lastModifiedTime :: Lens' DescribeNotebookInstanceResponse (Maybe UTCTime) Source #
A timestamp. Use this parameter to retrieve the time when the notebook instance was last modified.
describeNotebookInstanceResponse_networkInterfaceId :: Lens' DescribeNotebookInstanceResponse (Maybe Text) Source #
The network interface IDs that SageMaker created at the time of creating the instance.
describeNotebookInstanceResponse_notebookInstanceArn :: Lens' DescribeNotebookInstanceResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the notebook instance.
describeNotebookInstanceResponse_notebookInstanceLifecycleConfigName :: Lens' DescribeNotebookInstanceResponse (Maybe Text) Source #
Returns the name of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance
describeNotebookInstanceResponse_notebookInstanceName :: Lens' DescribeNotebookInstanceResponse (Maybe Text) Source #
The name of the SageMaker notebook instance.
describeNotebookInstanceResponse_notebookInstanceStatus :: Lens' DescribeNotebookInstanceResponse (Maybe NotebookInstanceStatus) Source #
The status of the notebook instance.
describeNotebookInstanceResponse_platformIdentifier :: Lens' DescribeNotebookInstanceResponse (Maybe Text) Source #
The platform identifier of the notebook instance runtime environment.
describeNotebookInstanceResponse_roleArn :: Lens' DescribeNotebookInstanceResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the IAM role associated with the instance.
describeNotebookInstanceResponse_rootAccess :: Lens' DescribeNotebookInstanceResponse (Maybe RootAccess) Source #
Whether root access is enabled or disabled for users of the notebook instance.
Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
describeNotebookInstanceResponse_securityGroups :: Lens' DescribeNotebookInstanceResponse (Maybe [Text]) Source #
The IDs of the VPC security groups.
describeNotebookInstanceResponse_subnetId :: Lens' DescribeNotebookInstanceResponse (Maybe Text) Source #
The ID of the VPC subnet.
describeNotebookInstanceResponse_url :: Lens' DescribeNotebookInstanceResponse (Maybe Text) Source #
The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
describeNotebookInstanceResponse_volumeSizeInGB :: Lens' DescribeNotebookInstanceResponse (Maybe Natural) Source #
The size, in GB, of the ML storage volume attached to the notebook instance.
describeNotebookInstanceResponse_httpStatus :: Lens' DescribeNotebookInstanceResponse Int Source #
The response's http status code.
DescribeNotebookInstanceLifecycleConfig
describeNotebookInstanceLifecycleConfig_notebookInstanceLifecycleConfigName :: Lens' DescribeNotebookInstanceLifecycleConfig Text Source #
The name of the lifecycle configuration to describe.
describeNotebookInstanceLifecycleConfigResponse_creationTime :: Lens' DescribeNotebookInstanceLifecycleConfigResponse (Maybe UTCTime) Source #
A timestamp that tells when the lifecycle configuration was created.
describeNotebookInstanceLifecycleConfigResponse_lastModifiedTime :: Lens' DescribeNotebookInstanceLifecycleConfigResponse (Maybe UTCTime) Source #
A timestamp that tells when the lifecycle configuration was last modified.
describeNotebookInstanceLifecycleConfigResponse_notebookInstanceLifecycleConfigArn :: Lens' DescribeNotebookInstanceLifecycleConfigResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the lifecycle configuration.
describeNotebookInstanceLifecycleConfigResponse_notebookInstanceLifecycleConfigName :: Lens' DescribeNotebookInstanceLifecycleConfigResponse (Maybe Text) Source #
The name of the lifecycle configuration.
describeNotebookInstanceLifecycleConfigResponse_onCreate :: Lens' DescribeNotebookInstanceLifecycleConfigResponse (Maybe [NotebookInstanceLifecycleHook]) Source #
The shell script that runs only once, when you create a notebook instance.
describeNotebookInstanceLifecycleConfigResponse_onStart :: Lens' DescribeNotebookInstanceLifecycleConfigResponse (Maybe [NotebookInstanceLifecycleHook]) Source #
The shell script that runs every time you start a notebook instance, including when you create the notebook instance.
describeNotebookInstanceLifecycleConfigResponse_httpStatus :: Lens' DescribeNotebookInstanceLifecycleConfigResponse Int Source #
The response's http status code.
DescribePipeline
describePipeline_pipelineName :: Lens' DescribePipeline Text Source #
The name of the pipeline to describe.
describePipelineResponse_createdBy :: Lens' DescribePipelineResponse (Maybe UserContext) Source #
Undocumented member.
describePipelineResponse_creationTime :: Lens' DescribePipelineResponse (Maybe UTCTime) Source #
The time when the pipeline was created.
describePipelineResponse_lastModifiedBy :: Lens' DescribePipelineResponse (Maybe UserContext) Source #
Undocumented member.
describePipelineResponse_lastModifiedTime :: Lens' DescribePipelineResponse (Maybe UTCTime) Source #
The time when the pipeline was last modified.
describePipelineResponse_lastRunTime :: Lens' DescribePipelineResponse (Maybe UTCTime) Source #
The time when the pipeline was last run.
describePipelineResponse_parallelismConfiguration :: Lens' DescribePipelineResponse (Maybe ParallelismConfiguration) Source #
Lists the parallelism configuration applied to the pipeline.
describePipelineResponse_pipelineArn :: Lens' DescribePipelineResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline.
describePipelineResponse_pipelineDefinition :: Lens' DescribePipelineResponse (Maybe Text) Source #
The JSON pipeline definition.
describePipelineResponse_pipelineDescription :: Lens' DescribePipelineResponse (Maybe Text) Source #
The description of the pipeline.
describePipelineResponse_pipelineDisplayName :: Lens' DescribePipelineResponse (Maybe Text) Source #
The display name of the pipeline.
describePipelineResponse_pipelineName :: Lens' DescribePipelineResponse (Maybe Text) Source #
The name of the pipeline.
describePipelineResponse_pipelineStatus :: Lens' DescribePipelineResponse (Maybe PipelineStatus) Source #
The status of the pipeline execution.
describePipelineResponse_roleArn :: Lens' DescribePipelineResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) that the pipeline uses to execute.
describePipelineResponse_httpStatus :: Lens' DescribePipelineResponse Int Source #
The response's http status code.
DescribePipelineDefinitionForExecution
describePipelineDefinitionForExecution_pipelineExecutionArn :: Lens' DescribePipelineDefinitionForExecution Text Source #
The Amazon Resource Name (ARN) of the pipeline execution.
describePipelineDefinitionForExecutionResponse_creationTime :: Lens' DescribePipelineDefinitionForExecutionResponse (Maybe UTCTime) Source #
The time when the pipeline was created.
describePipelineDefinitionForExecutionResponse_pipelineDefinition :: Lens' DescribePipelineDefinitionForExecutionResponse (Maybe Text) Source #
The JSON pipeline definition.
describePipelineDefinitionForExecutionResponse_httpStatus :: Lens' DescribePipelineDefinitionForExecutionResponse Int Source #
The response's http status code.
DescribePipelineExecution
describePipelineExecution_pipelineExecutionArn :: Lens' DescribePipelineExecution Text Source #
The Amazon Resource Name (ARN) of the pipeline execution.
describePipelineExecutionResponse_createdBy :: Lens' DescribePipelineExecutionResponse (Maybe UserContext) Source #
Undocumented member.
describePipelineExecutionResponse_creationTime :: Lens' DescribePipelineExecutionResponse (Maybe UTCTime) Source #
The time when the pipeline execution was created.
describePipelineExecutionResponse_failureReason :: Lens' DescribePipelineExecutionResponse (Maybe Text) Source #
If the execution failed, a message describing why.
describePipelineExecutionResponse_lastModifiedBy :: Lens' DescribePipelineExecutionResponse (Maybe UserContext) Source #
Undocumented member.
describePipelineExecutionResponse_lastModifiedTime :: Lens' DescribePipelineExecutionResponse (Maybe UTCTime) Source #
The time when the pipeline execution was modified last.
describePipelineExecutionResponse_parallelismConfiguration :: Lens' DescribePipelineExecutionResponse (Maybe ParallelismConfiguration) Source #
The parallelism configuration applied to the pipeline.
describePipelineExecutionResponse_pipelineArn :: Lens' DescribePipelineExecutionResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline.
describePipelineExecutionResponse_pipelineExecutionArn :: Lens' DescribePipelineExecutionResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline execution.
describePipelineExecutionResponse_pipelineExecutionDescription :: Lens' DescribePipelineExecutionResponse (Maybe Text) Source #
The description of the pipeline execution.
describePipelineExecutionResponse_pipelineExecutionDisplayName :: Lens' DescribePipelineExecutionResponse (Maybe Text) Source #
The display name of the pipeline execution.
describePipelineExecutionResponse_pipelineExecutionStatus :: Lens' DescribePipelineExecutionResponse (Maybe PipelineExecutionStatus) Source #
The status of the pipeline execution.
describePipelineExecutionResponse_pipelineExperimentConfig :: Lens' DescribePipelineExecutionResponse (Maybe PipelineExperimentConfig) Source #
Undocumented member.
describePipelineExecutionResponse_httpStatus :: Lens' DescribePipelineExecutionResponse Int Source #
The response's http status code.
DescribeProcessingJob
describeProcessingJob_processingJobName :: Lens' DescribeProcessingJob Text Source #
The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
describeProcessingJobResponse_autoMLJobArn :: Lens' DescribeProcessingJobResponse (Maybe Text) Source #
The ARN of an AutoML job associated with this processing job.
describeProcessingJobResponse_environment :: Lens' DescribeProcessingJobResponse (Maybe (HashMap Text Text)) Source #
The environment variables set in the Docker container.
describeProcessingJobResponse_exitMessage :: Lens' DescribeProcessingJobResponse (Maybe Text) Source #
An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
describeProcessingJobResponse_experimentConfig :: Lens' DescribeProcessingJobResponse (Maybe ExperimentConfig) Source #
The configuration information used to create an experiment.
describeProcessingJobResponse_failureReason :: Lens' DescribeProcessingJobResponse (Maybe Text) Source #
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
describeProcessingJobResponse_lastModifiedTime :: Lens' DescribeProcessingJobResponse (Maybe UTCTime) Source #
The time at which the processing job was last modified.
describeProcessingJobResponse_monitoringScheduleArn :: Lens' DescribeProcessingJobResponse (Maybe Text) Source #
The ARN of a monitoring schedule for an endpoint associated with this processing job.
describeProcessingJobResponse_networkConfig :: Lens' DescribeProcessingJobResponse (Maybe NetworkConfig) Source #
Networking options for a processing job.
describeProcessingJobResponse_processingEndTime :: Lens' DescribeProcessingJobResponse (Maybe UTCTime) Source #
The time at which the processing job completed.
describeProcessingJobResponse_processingInputs :: Lens' DescribeProcessingJobResponse (Maybe [ProcessingInput]) Source #
The inputs for a processing job.
describeProcessingJobResponse_processingOutputConfig :: Lens' DescribeProcessingJobResponse (Maybe ProcessingOutputConfig) Source #
Output configuration for the processing job.
describeProcessingJobResponse_processingStartTime :: Lens' DescribeProcessingJobResponse (Maybe UTCTime) Source #
The time at which the processing job started.
describeProcessingJobResponse_roleArn :: Lens' DescribeProcessingJobResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
describeProcessingJobResponse_stoppingCondition :: Lens' DescribeProcessingJobResponse (Maybe ProcessingStoppingCondition) Source #
The time limit for how long the processing job is allowed to run.
describeProcessingJobResponse_trainingJobArn :: Lens' DescribeProcessingJobResponse (Maybe Text) Source #
The ARN of a training job associated with this processing job.
describeProcessingJobResponse_httpStatus :: Lens' DescribeProcessingJobResponse Int Source #
The response's http status code.
describeProcessingJobResponse_processingJobName :: Lens' DescribeProcessingJobResponse Text Source #
The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
describeProcessingJobResponse_processingResources :: Lens' DescribeProcessingJobResponse ProcessingResources Source #
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.
describeProcessingJobResponse_appSpecification :: Lens' DescribeProcessingJobResponse AppSpecification Source #
Configures the processing job to run a specified container image.
describeProcessingJobResponse_processingJobArn :: Lens' DescribeProcessingJobResponse Text Source #
The Amazon Resource Name (ARN) of the processing job.
describeProcessingJobResponse_processingJobStatus :: Lens' DescribeProcessingJobResponse ProcessingJobStatus Source #
Provides the status of a processing job.
describeProcessingJobResponse_creationTime :: Lens' DescribeProcessingJobResponse UTCTime Source #
The time at which the processing job was created.
DescribeProject
describeProject_projectName :: Lens' DescribeProject Text Source #
The name of the project to describe.
describeProjectResponse_createdBy :: Lens' DescribeProjectResponse (Maybe UserContext) Source #
Undocumented member.
describeProjectResponse_lastModifiedBy :: Lens' DescribeProjectResponse (Maybe UserContext) Source #
Undocumented member.
describeProjectResponse_lastModifiedTime :: Lens' DescribeProjectResponse (Maybe UTCTime) Source #
The timestamp when project was last modified.
describeProjectResponse_projectDescription :: Lens' DescribeProjectResponse (Maybe Text) Source #
The description of the project.
describeProjectResponse_serviceCatalogProvisionedProductDetails :: Lens' DescribeProjectResponse (Maybe ServiceCatalogProvisionedProductDetails) Source #
Information about a provisioned service catalog product.
describeProjectResponse_httpStatus :: Lens' DescribeProjectResponse Int Source #
The response's http status code.
describeProjectResponse_projectArn :: Lens' DescribeProjectResponse Text Source #
The Amazon Resource Name (ARN) of the project.
describeProjectResponse_projectName :: Lens' DescribeProjectResponse Text Source #
The name of the project.
describeProjectResponse_projectId :: Lens' DescribeProjectResponse Text Source #
The ID of the project.
describeProjectResponse_serviceCatalogProvisioningDetails :: Lens' DescribeProjectResponse ServiceCatalogProvisioningDetails Source #
Information used to provision a service catalog product. For information, see What is Amazon Web Services Service Catalog.
describeProjectResponse_projectStatus :: Lens' DescribeProjectResponse ProjectStatus Source #
The status of the project.
describeProjectResponse_creationTime :: Lens' DescribeProjectResponse UTCTime Source #
The time when the project was created.
DescribeSpace
describeSpace_domainId :: Lens' DescribeSpace Text Source #
The ID of the associated Domain.
describeSpace_spaceName :: Lens' DescribeSpace Text Source #
The name of the space.
describeSpaceResponse_creationTime :: Lens' DescribeSpaceResponse (Maybe UTCTime) Source #
The creation time.
describeSpaceResponse_domainId :: Lens' DescribeSpaceResponse (Maybe Text) Source #
The ID of the associated Domain.
describeSpaceResponse_failureReason :: Lens' DescribeSpaceResponse (Maybe Text) Source #
The failure reason.
describeSpaceResponse_homeEfsFileSystemUid :: Lens' DescribeSpaceResponse (Maybe Text) Source #
The ID of the space's profile in the Amazon Elastic File System volume.
describeSpaceResponse_lastModifiedTime :: Lens' DescribeSpaceResponse (Maybe UTCTime) Source #
The last modified time.
describeSpaceResponse_spaceArn :: Lens' DescribeSpaceResponse (Maybe Text) Source #
The space's Amazon Resource Name (ARN).
describeSpaceResponse_spaceName :: Lens' DescribeSpaceResponse (Maybe Text) Source #
The name of the space.
describeSpaceResponse_spaceSettings :: Lens' DescribeSpaceResponse (Maybe SpaceSettings) Source #
A collection of space settings.
describeSpaceResponse_status :: Lens' DescribeSpaceResponse (Maybe SpaceStatus) Source #
The status.
describeSpaceResponse_httpStatus :: Lens' DescribeSpaceResponse Int Source #
The response's http status code.
DescribeStudioLifecycleConfig
describeStudioLifecycleConfig_studioLifecycleConfigName :: Lens' DescribeStudioLifecycleConfig Text Source #
The name of the Studio Lifecycle Configuration to describe.
describeStudioLifecycleConfigResponse_creationTime :: Lens' DescribeStudioLifecycleConfigResponse (Maybe UTCTime) Source #
The creation time of the Studio Lifecycle Configuration.
describeStudioLifecycleConfigResponse_lastModifiedTime :: Lens' DescribeStudioLifecycleConfigResponse (Maybe UTCTime) Source #
This value is equivalent to CreationTime because Studio Lifecycle Configurations are immutable.
describeStudioLifecycleConfigResponse_studioLifecycleConfigAppType :: Lens' DescribeStudioLifecycleConfigResponse (Maybe StudioLifecycleConfigAppType) Source #
The App type that the Lifecycle Configuration is attached to.
describeStudioLifecycleConfigResponse_studioLifecycleConfigArn :: Lens' DescribeStudioLifecycleConfigResponse (Maybe Text) Source #
The ARN of the Lifecycle Configuration to describe.
describeStudioLifecycleConfigResponse_studioLifecycleConfigContent :: Lens' DescribeStudioLifecycleConfigResponse (Maybe Text) Source #
The content of your Studio Lifecycle Configuration script.
describeStudioLifecycleConfigResponse_studioLifecycleConfigName :: Lens' DescribeStudioLifecycleConfigResponse (Maybe Text) Source #
The name of the Studio Lifecycle Configuration that is described.
describeStudioLifecycleConfigResponse_httpStatus :: Lens' DescribeStudioLifecycleConfigResponse Int Source #
The response's http status code.
DescribeSubscribedWorkteam
describeSubscribedWorkteam_workteamArn :: Lens' DescribeSubscribedWorkteam Text Source #
The Amazon Resource Name (ARN) of the subscribed work team to describe.
describeSubscribedWorkteamResponse_httpStatus :: Lens' DescribeSubscribedWorkteamResponse Int Source #
The response's http status code.
describeSubscribedWorkteamResponse_subscribedWorkteam :: Lens' DescribeSubscribedWorkteamResponse SubscribedWorkteam Source #
A Workteam
instance that contains information about the work team.
DescribeTrainingJob
describeTrainingJob_trainingJobName :: Lens' DescribeTrainingJob Text Source #
The name of the training job.
describeTrainingJobResponse_autoMLJobArn :: Lens' DescribeTrainingJobResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of an AutoML job.
describeTrainingJobResponse_billableTimeInSeconds :: Lens' DescribeTrainingJobResponse (Maybe Natural) Source #
The billable time in seconds. Billable time refers to the absolute wall-clock time.
Multiply BillableTimeInSeconds
by the number of instances
(InstanceCount
) in your training cluster to get the total compute time
SageMaker bills you if you run distributed training. The formula is as
follows: BillableTimeInSeconds * InstanceCount
.
You can calculate the savings from using managed spot training using the
formula (1 - BillableTimeInSeconds / TrainingTimeInSeconds) * 100
.
For example, if BillableTimeInSeconds
is 100 and
TrainingTimeInSeconds
is 500, the savings is 80%.
describeTrainingJobResponse_checkpointConfig :: Lens' DescribeTrainingJobResponse (Maybe CheckpointConfig) Source #
Undocumented member.
describeTrainingJobResponse_debugHookConfig :: Lens' DescribeTrainingJobResponse (Maybe DebugHookConfig) Source #
Undocumented member.
describeTrainingJobResponse_debugRuleConfigurations :: Lens' DescribeTrainingJobResponse (Maybe [DebugRuleConfiguration]) Source #
Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
describeTrainingJobResponse_debugRuleEvaluationStatuses :: Lens' DescribeTrainingJobResponse (Maybe [DebugRuleEvaluationStatus]) Source #
Evaluation status of Amazon SageMaker Debugger rules for debugging on a training job.
describeTrainingJobResponse_enableInterContainerTrafficEncryption :: Lens' DescribeTrainingJobResponse (Maybe Bool) Source #
To encrypt all communications between ML compute instances in
distributed training, choose True
. Encryption provides greater
security for distributed training, but training might take longer. How
long it takes depends on the amount of communication between compute
instances, especially if you use a deep learning algorithms in
distributed training.
describeTrainingJobResponse_enableManagedSpotTraining :: Lens' DescribeTrainingJobResponse (Maybe Bool) Source #
A Boolean indicating whether managed spot training is enabled (True
)
or not (False
).
describeTrainingJobResponse_enableNetworkIsolation :: Lens' DescribeTrainingJobResponse (Maybe Bool) Source #
If you want to allow inbound or outbound network calls, except for calls
between peers within a training cluster for distributed training, choose
True
. If you enable network isolation for training jobs that are
configured to use a VPC, SageMaker downloads and uploads customer data
and model artifacts through the specified VPC, but the training
container does not have network access.
describeTrainingJobResponse_environment :: Lens' DescribeTrainingJobResponse (Maybe (HashMap Text Text)) Source #
The environment variables to set in the Docker container.
describeTrainingJobResponse_experimentConfig :: Lens' DescribeTrainingJobResponse (Maybe ExperimentConfig) Source #
Undocumented member.
describeTrainingJobResponse_failureReason :: Lens' DescribeTrainingJobResponse (Maybe Text) Source #
If the training job failed, the reason it failed.
describeTrainingJobResponse_finalMetricDataList :: Lens' DescribeTrainingJobResponse (Maybe [MetricData]) Source #
A collection of MetricData
objects that specify the names, values, and
dates and times that the training algorithm emitted to Amazon
CloudWatch.
describeTrainingJobResponse_hyperParameters :: Lens' DescribeTrainingJobResponse (Maybe (HashMap Text Text)) Source #
Algorithm-specific parameters.
describeTrainingJobResponse_inputDataConfig :: Lens' DescribeTrainingJobResponse (Maybe (NonEmpty Channel)) Source #
An array of Channel
objects that describes each data input channel.
describeTrainingJobResponse_labelingJobArn :: Lens' DescribeTrainingJobResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the SageMaker Ground Truth labeling job that created the transform or training job.
describeTrainingJobResponse_lastModifiedTime :: Lens' DescribeTrainingJobResponse (Maybe UTCTime) Source #
A timestamp that indicates when the status of the training job was last modified.
describeTrainingJobResponse_outputDataConfig :: Lens' DescribeTrainingJobResponse (Maybe OutputDataConfig) Source #
The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates subfolders for model artifacts.
describeTrainingJobResponse_profilerConfig :: Lens' DescribeTrainingJobResponse (Maybe ProfilerConfig) Source #
Undocumented member.
describeTrainingJobResponse_profilerRuleConfigurations :: Lens' DescribeTrainingJobResponse (Maybe [ProfilerRuleConfiguration]) Source #
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
describeTrainingJobResponse_profilerRuleEvaluationStatuses :: Lens' DescribeTrainingJobResponse (Maybe [ProfilerRuleEvaluationStatus]) Source #
Evaluation status of Amazon SageMaker Debugger rules for profiling on a training job.
describeTrainingJobResponse_profilingStatus :: Lens' DescribeTrainingJobResponse (Maybe ProfilingStatus) Source #
Profiling status of a training job.
describeTrainingJobResponse_retryStrategy :: Lens' DescribeTrainingJobResponse (Maybe RetryStrategy) Source #
The number of times to retry the job when the job fails due to an
InternalServerError
.
describeTrainingJobResponse_roleArn :: Lens' DescribeTrainingJobResponse (Maybe Text) Source #
The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
describeTrainingJobResponse_secondaryStatusTransitions :: Lens' DescribeTrainingJobResponse (Maybe [SecondaryStatusTransition]) Source #
A history of all of the secondary statuses that the training job has transitioned through.
describeTrainingJobResponse_tensorBoardOutputConfig :: Lens' DescribeTrainingJobResponse (Maybe TensorBoardOutputConfig) Source #
Undocumented member.
describeTrainingJobResponse_trainingEndTime :: Lens' DescribeTrainingJobResponse (Maybe UTCTime) Source #
Indicates the time when the training job ends on training instances. You
are billed for the time interval between the value of
TrainingStartTime
and this time. For successful jobs and stopped jobs,
this is the time after model artifacts are uploaded. For failed jobs,
this is the time when SageMaker detects a job failure.
describeTrainingJobResponse_trainingStartTime :: Lens' DescribeTrainingJobResponse (Maybe UTCTime) Source #
Indicates the time when the training job starts on training instances.
You are billed for the time interval between this time and the value of
TrainingEndTime
. The start time in CloudWatch Logs might be later than
this time. The difference is due to the time it takes to download the
training data and to the size of the training container.
describeTrainingJobResponse_trainingTimeInSeconds :: Lens' DescribeTrainingJobResponse (Maybe Natural) Source #
The training time in seconds.
describeTrainingJobResponse_tuningJobArn :: Lens' DescribeTrainingJobResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
describeTrainingJobResponse_vpcConfig :: Lens' DescribeTrainingJobResponse (Maybe VpcConfig) Source #
A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
describeTrainingJobResponse_warmPoolStatus :: Lens' DescribeTrainingJobResponse (Maybe WarmPoolStatus) Source #
The status of the warm pool associated with the training job.
describeTrainingJobResponse_httpStatus :: Lens' DescribeTrainingJobResponse Int Source #
The response's http status code.
describeTrainingJobResponse_trainingJobName :: Lens' DescribeTrainingJobResponse Text Source #
Name of the model training job.
describeTrainingJobResponse_trainingJobArn :: Lens' DescribeTrainingJobResponse Text Source #
The Amazon Resource Name (ARN) of the training job.
describeTrainingJobResponse_modelArtifacts :: Lens' DescribeTrainingJobResponse ModelArtifacts Source #
Information about the Amazon S3 location that is configured for storing model artifacts.
describeTrainingJobResponse_trainingJobStatus :: Lens' DescribeTrainingJobResponse TrainingJobStatus Source #
The status of the training job.
SageMaker provides the following training job statuses:
InProgress
- The training is in progress.Completed
- The training job has completed.Failed
- The training job has failed. To see the reason for the failure, see theFailureReason
field in the response to aDescribeTrainingJobResponse
call.Stopping
- The training job is stopping.Stopped
- The training job has stopped.
For more detailed information, see SecondaryStatus
.
describeTrainingJobResponse_secondaryStatus :: Lens' DescribeTrainingJobResponse SecondaryStatus Source #
Provides detailed information about the state of the training job. For
detailed information on the secondary status of the training job, see
StatusMessage
under SecondaryStatusTransition.
SageMaker provides primary statuses and secondary statuses that apply to each of them:
- InProgress
- -
Starting
- Starting the training job.Downloading
- An optional stage for algorithms that supportFile
training input mode. It indicates that data is being downloaded to the ML storage volumes.Training
- Training is in progress.Interrupted
- The job stopped because the managed spot training instances were interrupted.Uploading
- Training is complete and the model artifacts are being uploaded to the S3 location.
- Completed
- -
Completed
- The training job has completed. - Failed
- -
Failed
- The training job has failed. The reason for the failure is returned in theFailureReason
field ofDescribeTrainingJobResponse
. - Stopped
- -
MaxRuntimeExceeded
- The job stopped because it exceeded the maximum allowed runtime.MaxWaitTimeExceeded
- The job stopped because it exceeded the maximum allowed wait time.Stopped
- The training job has stopped.
- Stopping
- -
Stopping
- Stopping the training job.
Valid values for SecondaryStatus
are subject to change.
We no longer support the following secondary statuses:
LaunchingMLInstances
PreparingTraining
DownloadingTrainingImage
describeTrainingJobResponse_algorithmSpecification :: Lens' DescribeTrainingJobResponse AlgorithmSpecification Source #
Information about the algorithm used for training, and algorithm metadata.
describeTrainingJobResponse_resourceConfig :: Lens' DescribeTrainingJobResponse ResourceConfig Source #
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
describeTrainingJobResponse_stoppingCondition :: Lens' DescribeTrainingJobResponse StoppingCondition Source #
Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, SageMaker sends the algorithm the SIGTERM
signal, which
delays job termination for 120 seconds. Algorithms can use this
120-second window to save the model artifacts, so the results of
training are not lost.
describeTrainingJobResponse_creationTime :: Lens' DescribeTrainingJobResponse UTCTime Source #
A timestamp that indicates when the training job was created.
DescribeTransformJob
describeTransformJob_transformJobName :: Lens' DescribeTransformJob Text Source #
The name of the transform job that you want to view details of.
describeTransformJobResponse_autoMLJobArn :: Lens' DescribeTransformJobResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the AutoML transform job.
describeTransformJobResponse_batchStrategy :: Lens' DescribeTransformJobResponse (Maybe BatchStrategy) Source #
Specifies the number of records to include in a mini-batch for an HTTP inference request. A record // is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
To enable the batch strategy, you must set SplitType
to Line
,
RecordIO
, or TFRecord
.
describeTransformJobResponse_dataCaptureConfig :: Lens' DescribeTransformJobResponse (Maybe BatchDataCaptureConfig) Source #
Configuration to control how SageMaker captures inference data.
describeTransformJobResponse_dataProcessing :: Lens' DescribeTransformJobResponse (Maybe DataProcessing) Source #
Undocumented member.
describeTransformJobResponse_environment :: Lens' DescribeTransformJobResponse (Maybe (HashMap Text Text)) Source #
The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
describeTransformJobResponse_experimentConfig :: Lens' DescribeTransformJobResponse (Maybe ExperimentConfig) Source #
Undocumented member.
describeTransformJobResponse_failureReason :: Lens' DescribeTransformJobResponse (Maybe Text) Source #
If the transform job failed, FailureReason
describes why it failed. A
transform job creates a log file, which includes error messages, and
stores it as an Amazon S3 object. For more information, see
Log Amazon SageMaker Events with Amazon CloudWatch.
describeTransformJobResponse_labelingJobArn :: Lens' DescribeTransformJobResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
describeTransformJobResponse_maxConcurrentTransforms :: Lens' DescribeTransformJobResponse (Maybe Natural) Source #
The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.
describeTransformJobResponse_maxPayloadInMB :: Lens' DescribeTransformJobResponse (Maybe Natural) Source #
The maximum payload size, in MB, used in the transform job.
describeTransformJobResponse_modelClientConfig :: Lens' DescribeTransformJobResponse (Maybe ModelClientConfig) Source #
The timeout and maximum number of retries for processing a transform job invocation.
describeTransformJobResponse_transformEndTime :: Lens' DescribeTransformJobResponse (Maybe UTCTime) Source #
Indicates when the transform job has been completed, or has stopped or
failed. You are billed for the time interval between this time and the
value of TransformStartTime
.
describeTransformJobResponse_transformOutput :: Lens' DescribeTransformJobResponse (Maybe TransformOutput) Source #
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
describeTransformJobResponse_transformStartTime :: Lens' DescribeTransformJobResponse (Maybe UTCTime) Source #
Indicates when the transform job starts on ML instances. You are billed
for the time interval between this time and the value of
TransformEndTime
.
describeTransformJobResponse_httpStatus :: Lens' DescribeTransformJobResponse Int Source #
The response's http status code.
describeTransformJobResponse_transformJobName :: Lens' DescribeTransformJobResponse Text Source #
The name of the transform job.
describeTransformJobResponse_transformJobArn :: Lens' DescribeTransformJobResponse Text Source #
The Amazon Resource Name (ARN) of the transform job.
describeTransformJobResponse_transformJobStatus :: Lens' DescribeTransformJobResponse TransformJobStatus Source #
The status of the transform job. If the transform job failed, the reason
is returned in the FailureReason
field.
describeTransformJobResponse_modelName :: Lens' DescribeTransformJobResponse Text Source #
The name of the model used in the transform job.
describeTransformJobResponse_transformInput :: Lens' DescribeTransformJobResponse TransformInput Source #
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
describeTransformJobResponse_transformResources :: Lens' DescribeTransformJobResponse TransformResources Source #
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
describeTransformJobResponse_creationTime :: Lens' DescribeTransformJobResponse UTCTime Source #
A timestamp that shows when the transform Job was created.
DescribeTrial
describeTrial_trialName :: Lens' DescribeTrial Text Source #
The name of the trial to describe.
describeTrialResponse_createdBy :: Lens' DescribeTrialResponse (Maybe UserContext) Source #
Who created the trial.
describeTrialResponse_creationTime :: Lens' DescribeTrialResponse (Maybe UTCTime) Source #
When the trial was created.
describeTrialResponse_displayName :: Lens' DescribeTrialResponse (Maybe Text) Source #
The name of the trial as displayed. If DisplayName
isn't specified,
TrialName
is displayed.
describeTrialResponse_experimentName :: Lens' DescribeTrialResponse (Maybe Text) Source #
The name of the experiment the trial is part of.
describeTrialResponse_lastModifiedBy :: Lens' DescribeTrialResponse (Maybe UserContext) Source #
Who last modified the trial.
describeTrialResponse_lastModifiedTime :: Lens' DescribeTrialResponse (Maybe UTCTime) Source #
When the trial was last modified.
describeTrialResponse_metadataProperties :: Lens' DescribeTrialResponse (Maybe MetadataProperties) Source #
Undocumented member.
describeTrialResponse_source :: Lens' DescribeTrialResponse (Maybe TrialSource) Source #
The Amazon Resource Name (ARN) of the source and, optionally, the job type.
describeTrialResponse_trialArn :: Lens' DescribeTrialResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial.
describeTrialResponse_trialName :: Lens' DescribeTrialResponse (Maybe Text) Source #
The name of the trial.
describeTrialResponse_httpStatus :: Lens' DescribeTrialResponse Int Source #
The response's http status code.
DescribeTrialComponent
describeTrialComponent_trialComponentName :: Lens' DescribeTrialComponent Text Source #
The name of the trial component to describe.
describeTrialComponentResponse_createdBy :: Lens' DescribeTrialComponentResponse (Maybe UserContext) Source #
Who created the trial component.
describeTrialComponentResponse_creationTime :: Lens' DescribeTrialComponentResponse (Maybe UTCTime) Source #
When the component was created.
describeTrialComponentResponse_displayName :: Lens' DescribeTrialComponentResponse (Maybe Text) Source #
The name of the component as displayed. If DisplayName
isn't
specified, TrialComponentName
is displayed.
describeTrialComponentResponse_endTime :: Lens' DescribeTrialComponentResponse (Maybe UTCTime) Source #
When the component ended.
describeTrialComponentResponse_inputArtifacts :: Lens' DescribeTrialComponentResponse (Maybe (HashMap Text TrialComponentArtifact)) Source #
The input artifacts of the component.
describeTrialComponentResponse_lastModifiedBy :: Lens' DescribeTrialComponentResponse (Maybe UserContext) Source #
Who last modified the component.
describeTrialComponentResponse_lastModifiedTime :: Lens' DescribeTrialComponentResponse (Maybe UTCTime) Source #
When the component was last modified.
describeTrialComponentResponse_lineageGroupArn :: Lens' DescribeTrialComponentResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the lineage group.
describeTrialComponentResponse_metadataProperties :: Lens' DescribeTrialComponentResponse (Maybe MetadataProperties) Source #
Undocumented member.
describeTrialComponentResponse_metrics :: Lens' DescribeTrialComponentResponse (Maybe [TrialComponentMetricSummary]) Source #
The metrics for the component.
describeTrialComponentResponse_outputArtifacts :: Lens' DescribeTrialComponentResponse (Maybe (HashMap Text TrialComponentArtifact)) Source #
The output artifacts of the component.
describeTrialComponentResponse_parameters :: Lens' DescribeTrialComponentResponse (Maybe (HashMap Text TrialComponentParameterValue)) Source #
The hyperparameters of the component.
describeTrialComponentResponse_source :: Lens' DescribeTrialComponentResponse (Maybe TrialComponentSource) Source #
The Amazon Resource Name (ARN) of the source and, optionally, the job type.
describeTrialComponentResponse_sources :: Lens' DescribeTrialComponentResponse (Maybe [TrialComponentSource]) Source #
A list of ARNs and, if applicable, job types for multiple sources of an experiment run.
describeTrialComponentResponse_startTime :: Lens' DescribeTrialComponentResponse (Maybe UTCTime) Source #
When the component started.
describeTrialComponentResponse_status :: Lens' DescribeTrialComponentResponse (Maybe TrialComponentStatus) Source #
The status of the component. States include:
- InProgress
- Completed
- Failed
describeTrialComponentResponse_trialComponentArn :: Lens' DescribeTrialComponentResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial component.
describeTrialComponentResponse_trialComponentName :: Lens' DescribeTrialComponentResponse (Maybe Text) Source #
The name of the trial component.
describeTrialComponentResponse_httpStatus :: Lens' DescribeTrialComponentResponse Int Source #
The response's http status code.
DescribeUserProfile
describeUserProfile_domainId :: Lens' DescribeUserProfile Text Source #
The domain ID.
describeUserProfile_userProfileName :: Lens' DescribeUserProfile Text Source #
The user profile name. This value is not case sensitive.
describeUserProfileResponse_creationTime :: Lens' DescribeUserProfileResponse (Maybe UTCTime) Source #
The creation time.
describeUserProfileResponse_domainId :: Lens' DescribeUserProfileResponse (Maybe Text) Source #
The ID of the domain that contains the profile.
describeUserProfileResponse_failureReason :: Lens' DescribeUserProfileResponse (Maybe Text) Source #
The failure reason.
describeUserProfileResponse_homeEfsFileSystemUid :: Lens' DescribeUserProfileResponse (Maybe Text) Source #
The ID of the user's profile in the Amazon Elastic File System (EFS) volume.
describeUserProfileResponse_lastModifiedTime :: Lens' DescribeUserProfileResponse (Maybe UTCTime) Source #
The last modified time.
describeUserProfileResponse_singleSignOnUserIdentifier :: Lens' DescribeUserProfileResponse (Maybe Text) Source #
The IAM Identity Center user identifier.
describeUserProfileResponse_singleSignOnUserValue :: Lens' DescribeUserProfileResponse (Maybe Text) Source #
The IAM Identity Center user value.
describeUserProfileResponse_status :: Lens' DescribeUserProfileResponse (Maybe UserProfileStatus) Source #
The status.
describeUserProfileResponse_userProfileArn :: Lens' DescribeUserProfileResponse (Maybe Text) Source #
The user profile Amazon Resource Name (ARN).
describeUserProfileResponse_userProfileName :: Lens' DescribeUserProfileResponse (Maybe Text) Source #
The user profile name.
describeUserProfileResponse_userSettings :: Lens' DescribeUserProfileResponse (Maybe UserSettings) Source #
A collection of settings.
describeUserProfileResponse_httpStatus :: Lens' DescribeUserProfileResponse Int Source #
The response's http status code.
DescribeWorkforce
describeWorkforce_workforceName :: Lens' DescribeWorkforce Text Source #
The name of the private workforce whose access you want to restrict.
WorkforceName
is automatically set to default
when a workforce is
created and cannot be modified.
describeWorkforceResponse_httpStatus :: Lens' DescribeWorkforceResponse Int Source #
The response's http status code.
describeWorkforceResponse_workforce :: Lens' DescribeWorkforceResponse Workforce Source #
A single private workforce, which is automatically created when you create your first private work team. You can create one private work force in each Amazon Web Services Region. By default, any workforce-related API operation used in a specific region will apply to the workforce created in that region. To learn how to create a private workforce, see Create a Private Workforce.
DescribeWorkteam
describeWorkteam_workteamName :: Lens' DescribeWorkteam Text Source #
The name of the work team to return a description of.
describeWorkteamResponse_httpStatus :: Lens' DescribeWorkteamResponse Int Source #
The response's http status code.
describeWorkteamResponse_workteam :: Lens' DescribeWorkteamResponse Workteam Source #
A Workteam
instance that contains information about the work team.
DisableSagemakerServicecatalogPortfolio
disableSagemakerServicecatalogPortfolioResponse_httpStatus :: Lens' DisableSagemakerServicecatalogPortfolioResponse Int Source #
The response's http status code.
DisassociateTrialComponent
disassociateTrialComponent_trialComponentName :: Lens' DisassociateTrialComponent Text Source #
The name of the component to disassociate from the trial.
disassociateTrialComponent_trialName :: Lens' DisassociateTrialComponent Text Source #
The name of the trial to disassociate from.
disassociateTrialComponentResponse_trialArn :: Lens' DisassociateTrialComponentResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial.
disassociateTrialComponentResponse_trialComponentArn :: Lens' DisassociateTrialComponentResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial component.
disassociateTrialComponentResponse_httpStatus :: Lens' DisassociateTrialComponentResponse Int Source #
The response's http status code.
EnableSagemakerServicecatalogPortfolio
enableSagemakerServicecatalogPortfolioResponse_httpStatus :: Lens' EnableSagemakerServicecatalogPortfolioResponse Int Source #
The response's http status code.
GetDeviceFleetReport
getDeviceFleetReport_deviceFleetName :: Lens' GetDeviceFleetReport Text Source #
The name of the fleet.
getDeviceFleetReportResponse_agentVersions :: Lens' GetDeviceFleetReportResponse (Maybe [AgentVersion]) Source #
The versions of Edge Manager agent deployed on the fleet.
getDeviceFleetReportResponse_description :: Lens' GetDeviceFleetReportResponse (Maybe Text) Source #
Description of the fleet.
getDeviceFleetReportResponse_deviceStats :: Lens' GetDeviceFleetReportResponse (Maybe DeviceStats) Source #
Status of devices.
getDeviceFleetReportResponse_modelStats :: Lens' GetDeviceFleetReportResponse (Maybe [EdgeModelStat]) Source #
Status of model on device.
getDeviceFleetReportResponse_outputConfig :: Lens' GetDeviceFleetReportResponse (Maybe EdgeOutputConfig) Source #
The output configuration for storing sample data collected by the fleet.
getDeviceFleetReportResponse_reportGenerated :: Lens' GetDeviceFleetReportResponse (Maybe UTCTime) Source #
Timestamp of when the report was generated.
getDeviceFleetReportResponse_httpStatus :: Lens' GetDeviceFleetReportResponse Int Source #
The response's http status code.
getDeviceFleetReportResponse_deviceFleetArn :: Lens' GetDeviceFleetReportResponse Text Source #
The Amazon Resource Name (ARN) of the device.
getDeviceFleetReportResponse_deviceFleetName :: Lens' GetDeviceFleetReportResponse Text Source #
The name of the fleet.
GetLineageGroupPolicy
getLineageGroupPolicy_lineageGroupName :: Lens' GetLineageGroupPolicy Text Source #
The name or Amazon Resource Name (ARN) of the lineage group.
getLineageGroupPolicyResponse_lineageGroupArn :: Lens' GetLineageGroupPolicyResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the lineage group.
getLineageGroupPolicyResponse_resourcePolicy :: Lens' GetLineageGroupPolicyResponse (Maybe Text) Source #
The resource policy that gives access to the lineage group in another account.
getLineageGroupPolicyResponse_httpStatus :: Lens' GetLineageGroupPolicyResponse Int Source #
The response's http status code.
GetModelPackageGroupPolicy
getModelPackageGroupPolicy_modelPackageGroupName :: Lens' GetModelPackageGroupPolicy Text Source #
The name of the model group for which to get the resource policy.
getModelPackageGroupPolicyResponse_httpStatus :: Lens' GetModelPackageGroupPolicyResponse Int Source #
The response's http status code.
getModelPackageGroupPolicyResponse_resourcePolicy :: Lens' GetModelPackageGroupPolicyResponse Text Source #
The resource policy for the model group.
GetSagemakerServicecatalogPortfolioStatus
getSagemakerServicecatalogPortfolioStatusResponse_status :: Lens' GetSagemakerServicecatalogPortfolioStatusResponse (Maybe SagemakerServicecatalogStatus) Source #
Whether Service Catalog is enabled or disabled in SageMaker.
getSagemakerServicecatalogPortfolioStatusResponse_httpStatus :: Lens' GetSagemakerServicecatalogPortfolioStatusResponse Int Source #
The response's http status code.
GetSearchSuggestions
getSearchSuggestions_suggestionQuery :: Lens' GetSearchSuggestions (Maybe SuggestionQuery) Source #
Limits the property names that are included in the response.
getSearchSuggestions_resource :: Lens' GetSearchSuggestions ResourceType Source #
The name of the Amazon SageMaker resource to search for.
getSearchSuggestionsResponse_propertyNameSuggestions :: Lens' GetSearchSuggestionsResponse (Maybe [PropertyNameSuggestion]) Source #
A list of property names for a Resource
that match a
SuggestionQuery
.
getSearchSuggestionsResponse_httpStatus :: Lens' GetSearchSuggestionsResponse Int Source #
The response's http status code.
ImportHubContent
importHubContent_hubContentDescription :: Lens' ImportHubContent (Maybe Text) Source #
A description of the hub content to import.
importHubContent_hubContentDisplayName :: Lens' ImportHubContent (Maybe Text) Source #
The display name of the hub content to import.
importHubContent_hubContentMarkdown :: Lens' ImportHubContent (Maybe Text) Source #
Markdown files associated with the hub content to import.
importHubContent_hubContentSearchKeywords :: Lens' ImportHubContent (Maybe [Text]) Source #
The searchable keywords of the hub content.
importHubContent_hubContentVersion :: Lens' ImportHubContent (Maybe Text) Source #
The version of the hub content to import.
importHubContent_tags :: Lens' ImportHubContent (Maybe [Tag]) Source #
Any tags associated with the hub content.
importHubContent_hubContentName :: Lens' ImportHubContent Text Source #
The name of the hub content to import.
importHubContent_hubContentType :: Lens' ImportHubContent HubContentType Source #
The type of hub content to import.
importHubContent_documentSchemaVersion :: Lens' ImportHubContent Text Source #
The version of the hub content schema to import.
importHubContent_hubName :: Lens' ImportHubContent Text Source #
The name of the hub to import content into.
importHubContent_hubContentDocument :: Lens' ImportHubContent Text Source #
The hub content document that describes information about the hub content such as type, associated containers, scripts, and more.
importHubContentResponse_httpStatus :: Lens' ImportHubContentResponse Int Source #
The response's http status code.
importHubContentResponse_hubArn :: Lens' ImportHubContentResponse Text Source #
The ARN of the hub that the content was imported into.
importHubContentResponse_hubContentArn :: Lens' ImportHubContentResponse Text Source #
The ARN of the hub content that was imported.
ListActions
listActions_actionType :: Lens' ListActions (Maybe Text) Source #
A filter that returns only actions of the specified type.
listActions_createdAfter :: Lens' ListActions (Maybe UTCTime) Source #
A filter that returns only actions created on or after the specified time.
listActions_createdBefore :: Lens' ListActions (Maybe UTCTime) Source #
A filter that returns only actions created on or before the specified time.
listActions_maxResults :: Lens' ListActions (Maybe Natural) Source #
The maximum number of actions to return in the response. The default value is 10.
listActions_nextToken :: Lens' ListActions (Maybe Text) Source #
If the previous call to ListActions
didn't return the full set of
actions, the call returns a token for getting the next set of actions.
listActions_sortBy :: Lens' ListActions (Maybe SortActionsBy) Source #
The property used to sort results. The default value is CreationTime
.
listActions_sortOrder :: Lens' ListActions (Maybe SortOrder) Source #
The sort order. The default value is Descending
.
listActions_sourceUri :: Lens' ListActions (Maybe Text) Source #
A filter that returns only actions with the specified source URI.
listActionsResponse_actionSummaries :: Lens' ListActionsResponse (Maybe [ActionSummary]) Source #
A list of actions and their properties.
listActionsResponse_nextToken :: Lens' ListActionsResponse (Maybe Text) Source #
A token for getting the next set of actions, if there are any.
listActionsResponse_httpStatus :: Lens' ListActionsResponse Int Source #
The response's http status code.
ListAlgorithms
listAlgorithms_creationTimeAfter :: Lens' ListAlgorithms (Maybe UTCTime) Source #
A filter that returns only algorithms created after the specified time (timestamp).
listAlgorithms_creationTimeBefore :: Lens' ListAlgorithms (Maybe UTCTime) Source #
A filter that returns only algorithms created before the specified time (timestamp).
listAlgorithms_maxResults :: Lens' ListAlgorithms (Maybe Natural) Source #
The maximum number of algorithms to return in the response.
listAlgorithms_nameContains :: Lens' ListAlgorithms (Maybe Text) Source #
A string in the algorithm name. This filter returns only algorithms whose name contains the specified string.
listAlgorithms_nextToken :: Lens' ListAlgorithms (Maybe Text) Source #
If the response to a previous ListAlgorithms
request was truncated,
the response includes a NextToken
. To retrieve the next set of
algorithms, use the token in the next request.
listAlgorithms_sortBy :: Lens' ListAlgorithms (Maybe AlgorithmSortBy) Source #
The parameter by which to sort the results. The default is
CreationTime
.
listAlgorithms_sortOrder :: Lens' ListAlgorithms (Maybe SortOrder) Source #
The sort order for the results. The default is Ascending
.
listAlgorithmsResponse_nextToken :: Lens' ListAlgorithmsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of algorithms, use it in the subsequent request.
listAlgorithmsResponse_httpStatus :: Lens' ListAlgorithmsResponse Int Source #
The response's http status code.
listAlgorithmsResponse_algorithmSummaryList :: Lens' ListAlgorithmsResponse [AlgorithmSummary] Source #
An array of @AlgorithmSummary@ objects, each of which lists an
algorithm.
ListAliases
listAliases_alias :: Lens' ListAliases (Maybe Text) Source #
The alias of the image version.
listAliases_maxResults :: Lens' ListAliases (Maybe Natural) Source #
The maximum number of aliases to return.
listAliases_nextToken :: Lens' ListAliases (Maybe Text) Source #
If the previous call to ListAliases
didn't return the full set of
aliases, the call returns a token for retrieving the next set of
aliases.
listAliases_version :: Lens' ListAliases (Maybe Natural) Source #
The version of the image. If image version is not specified, the aliases of all versions of the image are listed.
listAliases_imageName :: Lens' ListAliases Text Source #
The name of the image.
listAliasesResponse_nextToken :: Lens' ListAliasesResponse (Maybe Text) Source #
A token for getting the next set of aliases, if more aliases exist.
listAliasesResponse_sageMakerImageVersionAliases :: Lens' ListAliasesResponse (Maybe [Text]) Source #
A list of SageMaker image version aliases.
listAliasesResponse_httpStatus :: Lens' ListAliasesResponse Int Source #
The response's http status code.
ListAppImageConfigs
listAppImageConfigs_creationTimeAfter :: Lens' ListAppImageConfigs (Maybe UTCTime) Source #
A filter that returns only AppImageConfigs created on or after the specified time.
listAppImageConfigs_creationTimeBefore :: Lens' ListAppImageConfigs (Maybe UTCTime) Source #
A filter that returns only AppImageConfigs created on or before the specified time.
listAppImageConfigs_maxResults :: Lens' ListAppImageConfigs (Maybe Natural) Source #
The maximum number of AppImageConfigs to return in the response. The default value is 10.
listAppImageConfigs_modifiedTimeAfter :: Lens' ListAppImageConfigs (Maybe UTCTime) Source #
A filter that returns only AppImageConfigs modified on or after the specified time.
listAppImageConfigs_modifiedTimeBefore :: Lens' ListAppImageConfigs (Maybe UTCTime) Source #
A filter that returns only AppImageConfigs modified on or before the specified time.
listAppImageConfigs_nameContains :: Lens' ListAppImageConfigs (Maybe Text) Source #
A filter that returns only AppImageConfigs whose name contains the specified string.
listAppImageConfigs_nextToken :: Lens' ListAppImageConfigs (Maybe Text) Source #
If the previous call to ListImages
didn't return the full set of
AppImageConfigs, the call returns a token for getting the next set of
AppImageConfigs.
listAppImageConfigs_sortBy :: Lens' ListAppImageConfigs (Maybe AppImageConfigSortKey) Source #
The property used to sort results. The default value is CreationTime
.
listAppImageConfigs_sortOrder :: Lens' ListAppImageConfigs (Maybe SortOrder) Source #
The sort order. The default value is Descending
.
listAppImageConfigsResponse_appImageConfigs :: Lens' ListAppImageConfigsResponse (Maybe [AppImageConfigDetails]) Source #
A list of AppImageConfigs and their properties.
listAppImageConfigsResponse_nextToken :: Lens' ListAppImageConfigsResponse (Maybe Text) Source #
A token for getting the next set of AppImageConfigs, if there are any.
listAppImageConfigsResponse_httpStatus :: Lens' ListAppImageConfigsResponse Int Source #
The response's http status code.
ListApps
listApps_domainIdEquals :: Lens' ListApps (Maybe Text) Source #
A parameter to search for the domain ID.
listApps_maxResults :: Lens' ListApps (Maybe Natural) Source #
Returns a list up to a specified limit.
listApps_nextToken :: Lens' ListApps (Maybe Text) Source #
If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
listApps_sortBy :: Lens' ListApps (Maybe AppSortKey) Source #
The parameter by which to sort the results. The default is CreationTime.
listApps_sortOrder :: Lens' ListApps (Maybe SortOrder) Source #
The sort order for the results. The default is Ascending.
listApps_spaceNameEquals :: Lens' ListApps (Maybe Text) Source #
A parameter to search by space name. If UserProfileNameEquals
is set,
then this value cannot be set.
listApps_userProfileNameEquals :: Lens' ListApps (Maybe Text) Source #
A parameter to search by user profile name. If SpaceNameEquals
is set,
then this value cannot be set.
listAppsResponse_apps :: Lens' ListAppsResponse (Maybe [AppDetails]) Source #
The list of apps.
listAppsResponse_nextToken :: Lens' ListAppsResponse (Maybe Text) Source #
If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
listAppsResponse_httpStatus :: Lens' ListAppsResponse Int Source #
The response's http status code.
ListArtifacts
listArtifacts_artifactType :: Lens' ListArtifacts (Maybe Text) Source #
A filter that returns only artifacts of the specified type.
listArtifacts_createdAfter :: Lens' ListArtifacts (Maybe UTCTime) Source #
A filter that returns only artifacts created on or after the specified time.
listArtifacts_createdBefore :: Lens' ListArtifacts (Maybe UTCTime) Source #
A filter that returns only artifacts created on or before the specified time.
listArtifacts_maxResults :: Lens' ListArtifacts (Maybe Natural) Source #
The maximum number of artifacts to return in the response. The default value is 10.
listArtifacts_nextToken :: Lens' ListArtifacts (Maybe Text) Source #
If the previous call to ListArtifacts
didn't return the full set of
artifacts, the call returns a token for getting the next set of
artifacts.
listArtifacts_sortBy :: Lens' ListArtifacts (Maybe SortArtifactsBy) Source #
The property used to sort results. The default value is CreationTime
.
listArtifacts_sortOrder :: Lens' ListArtifacts (Maybe SortOrder) Source #
The sort order. The default value is Descending
.
listArtifacts_sourceUri :: Lens' ListArtifacts (Maybe Text) Source #
A filter that returns only artifacts with the specified source URI.
listArtifactsResponse_artifactSummaries :: Lens' ListArtifactsResponse (Maybe [ArtifactSummary]) Source #
A list of artifacts and their properties.
listArtifactsResponse_nextToken :: Lens' ListArtifactsResponse (Maybe Text) Source #
A token for getting the next set of artifacts, if there are any.
listArtifactsResponse_httpStatus :: Lens' ListArtifactsResponse Int Source #
The response's http status code.
ListAssociations
listAssociations_associationType :: Lens' ListAssociations (Maybe AssociationEdgeType) Source #
A filter that returns only associations of the specified type.
listAssociations_createdAfter :: Lens' ListAssociations (Maybe UTCTime) Source #
A filter that returns only associations created on or after the specified time.
listAssociations_createdBefore :: Lens' ListAssociations (Maybe UTCTime) Source #
A filter that returns only associations created on or before the specified time.
listAssociations_destinationArn :: Lens' ListAssociations (Maybe Text) Source #
A filter that returns only associations with the specified destination Amazon Resource Name (ARN).
listAssociations_destinationType :: Lens' ListAssociations (Maybe Text) Source #
A filter that returns only associations with the specified destination type.
listAssociations_maxResults :: Lens' ListAssociations (Maybe Natural) Source #
The maximum number of associations to return in the response. The default value is 10.
listAssociations_nextToken :: Lens' ListAssociations (Maybe Text) Source #
If the previous call to ListAssociations
didn't return the full set
of associations, the call returns a token for getting the next set of
associations.
listAssociations_sortBy :: Lens' ListAssociations (Maybe SortAssociationsBy) Source #
The property used to sort results. The default value is CreationTime
.
listAssociations_sortOrder :: Lens' ListAssociations (Maybe SortOrder) Source #
The sort order. The default value is Descending
.
listAssociations_sourceArn :: Lens' ListAssociations (Maybe Text) Source #
A filter that returns only associations with the specified source ARN.
listAssociations_sourceType :: Lens' ListAssociations (Maybe Text) Source #
A filter that returns only associations with the specified source type.
listAssociationsResponse_associationSummaries :: Lens' ListAssociationsResponse (Maybe [AssociationSummary]) Source #
A list of associations and their properties.
listAssociationsResponse_nextToken :: Lens' ListAssociationsResponse (Maybe Text) Source #
A token for getting the next set of associations, if there are any.
listAssociationsResponse_httpStatus :: Lens' ListAssociationsResponse Int Source #
The response's http status code.
ListAutoMLJobs
listAutoMLJobs_creationTimeAfter :: Lens' ListAutoMLJobs (Maybe UTCTime) Source #
Request a list of jobs, using a filter for time.
listAutoMLJobs_creationTimeBefore :: Lens' ListAutoMLJobs (Maybe UTCTime) Source #
Request a list of jobs, using a filter for time.
listAutoMLJobs_lastModifiedTimeAfter :: Lens' ListAutoMLJobs (Maybe UTCTime) Source #
Request a list of jobs, using a filter for time.
listAutoMLJobs_lastModifiedTimeBefore :: Lens' ListAutoMLJobs (Maybe UTCTime) Source #
Request a list of jobs, using a filter for time.
listAutoMLJobs_maxResults :: Lens' ListAutoMLJobs (Maybe Natural) Source #
Request a list of jobs up to a specified limit.
listAutoMLJobs_nameContains :: Lens' ListAutoMLJobs (Maybe Text) Source #
Request a list of jobs, using a search filter for name.
listAutoMLJobs_nextToken :: Lens' ListAutoMLJobs (Maybe Text) Source #
If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.
listAutoMLJobs_sortBy :: Lens' ListAutoMLJobs (Maybe AutoMLSortBy) Source #
The parameter by which to sort the results. The default is Name
.
listAutoMLJobs_sortOrder :: Lens' ListAutoMLJobs (Maybe AutoMLSortOrder) Source #
The sort order for the results. The default is Descending
.
listAutoMLJobs_statusEquals :: Lens' ListAutoMLJobs (Maybe AutoMLJobStatus) Source #
Request a list of jobs, using a filter for status.
listAutoMLJobsResponse_nextToken :: Lens' ListAutoMLJobsResponse (Maybe Text) Source #
If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.
listAutoMLJobsResponse_httpStatus :: Lens' ListAutoMLJobsResponse Int Source #
The response's http status code.
listAutoMLJobsResponse_autoMLJobSummaries :: Lens' ListAutoMLJobsResponse [AutoMLJobSummary] Source #
Returns a summary list of jobs.
ListCandidatesForAutoMLJob
listCandidatesForAutoMLJob_candidateNameEquals :: Lens' ListCandidatesForAutoMLJob (Maybe Text) Source #
List the candidates for the job and filter by candidate name.
listCandidatesForAutoMLJob_maxResults :: Lens' ListCandidatesForAutoMLJob (Maybe Natural) Source #
List the job's candidates up to a specified limit.
listCandidatesForAutoMLJob_nextToken :: Lens' ListCandidatesForAutoMLJob (Maybe Text) Source #
If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.
listCandidatesForAutoMLJob_sortBy :: Lens' ListCandidatesForAutoMLJob (Maybe CandidateSortBy) Source #
The parameter by which to sort the results. The default is Descending
.
listCandidatesForAutoMLJob_sortOrder :: Lens' ListCandidatesForAutoMLJob (Maybe AutoMLSortOrder) Source #
The sort order for the results. The default is Ascending
.
listCandidatesForAutoMLJob_statusEquals :: Lens' ListCandidatesForAutoMLJob (Maybe CandidateStatus) Source #
List the candidates for the job and filter by status.
listCandidatesForAutoMLJob_autoMLJobName :: Lens' ListCandidatesForAutoMLJob Text Source #
List the candidates created for the job by providing the job's name.
listCandidatesForAutoMLJobResponse_nextToken :: Lens' ListCandidatesForAutoMLJobResponse (Maybe Text) Source #
If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.
listCandidatesForAutoMLJobResponse_httpStatus :: Lens' ListCandidatesForAutoMLJobResponse Int Source #
The response's http status code.
listCandidatesForAutoMLJobResponse_candidates :: Lens' ListCandidatesForAutoMLJobResponse [AutoMLCandidate] Source #
Summaries about the AutoMLCandidates
.
ListCodeRepositories
listCodeRepositories_creationTimeAfter :: Lens' ListCodeRepositories (Maybe UTCTime) Source #
A filter that returns only Git repositories that were created after the specified time.
listCodeRepositories_creationTimeBefore :: Lens' ListCodeRepositories (Maybe UTCTime) Source #
A filter that returns only Git repositories that were created before the specified time.
listCodeRepositories_lastModifiedTimeAfter :: Lens' ListCodeRepositories (Maybe UTCTime) Source #
A filter that returns only Git repositories that were last modified after the specified time.
listCodeRepositories_lastModifiedTimeBefore :: Lens' ListCodeRepositories (Maybe UTCTime) Source #
A filter that returns only Git repositories that were last modified before the specified time.
listCodeRepositories_maxResults :: Lens' ListCodeRepositories (Maybe Natural) Source #
The maximum number of Git repositories to return in the response.
listCodeRepositories_nameContains :: Lens' ListCodeRepositories (Maybe Text) Source #
A string in the Git repositories name. This filter returns only repositories whose name contains the specified string.
listCodeRepositories_nextToken :: Lens' ListCodeRepositories (Maybe Text) Source #
If the result of a ListCodeRepositoriesOutput
request was truncated,
the response includes a NextToken
. To get the next set of Git
repositories, use the token in the next request.
listCodeRepositories_sortBy :: Lens' ListCodeRepositories (Maybe CodeRepositorySortBy) Source #
The field to sort results by. The default is Name
.
listCodeRepositories_sortOrder :: Lens' ListCodeRepositories (Maybe CodeRepositorySortOrder) Source #
The sort order for results. The default is Ascending
.
listCodeRepositoriesResponse_nextToken :: Lens' ListCodeRepositoriesResponse (Maybe Text) Source #
If the result of a ListCodeRepositoriesOutput
request was truncated,
the response includes a NextToken
. To get the next set of Git
repositories, use the token in the next request.
listCodeRepositoriesResponse_httpStatus :: Lens' ListCodeRepositoriesResponse Int Source #
The response's http status code.
listCodeRepositoriesResponse_codeRepositorySummaryList :: Lens' ListCodeRepositoriesResponse [CodeRepositorySummary] Source #
Gets a list of summaries of the Git repositories. Each summary specifies the following values for the repository:
- Name
- Amazon Resource Name (ARN)
- Creation time
- Last modified time
- Configuration information, including the URL location of the repository and the ARN of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.
ListCompilationJobs
listCompilationJobs_creationTimeAfter :: Lens' ListCompilationJobs (Maybe UTCTime) Source #
A filter that returns the model compilation jobs that were created after a specified time.
listCompilationJobs_creationTimeBefore :: Lens' ListCompilationJobs (Maybe UTCTime) Source #
A filter that returns the model compilation jobs that were created before a specified time.
listCompilationJobs_lastModifiedTimeAfter :: Lens' ListCompilationJobs (Maybe UTCTime) Source #
A filter that returns the model compilation jobs that were modified after a specified time.
listCompilationJobs_lastModifiedTimeBefore :: Lens' ListCompilationJobs (Maybe UTCTime) Source #
A filter that returns the model compilation jobs that were modified before a specified time.
listCompilationJobs_maxResults :: Lens' ListCompilationJobs (Maybe Natural) Source #
The maximum number of model compilation jobs to return in the response.
listCompilationJobs_nameContains :: Lens' ListCompilationJobs (Maybe Text) Source #
A filter that returns the model compilation jobs whose name contains a specified string.
listCompilationJobs_nextToken :: Lens' ListCompilationJobs (Maybe Text) Source #
If the result of the previous ListCompilationJobs
request was
truncated, the response includes a NextToken
. To retrieve the next set
of model compilation jobs, use the token in the next request.
listCompilationJobs_sortBy :: Lens' ListCompilationJobs (Maybe ListCompilationJobsSortBy) Source #
The field by which to sort results. The default is CreationTime
.
listCompilationJobs_sortOrder :: Lens' ListCompilationJobs (Maybe SortOrder) Source #
The sort order for results. The default is Ascending
.
listCompilationJobs_statusEquals :: Lens' ListCompilationJobs (Maybe CompilationJobStatus) Source #
A filter that retrieves model compilation jobs with a specific DescribeCompilationJobResponse$CompilationJobStatus status.
listCompilationJobsResponse_nextToken :: Lens' ListCompilationJobsResponse (Maybe Text) Source #
If the response is truncated, Amazon SageMaker returns this NextToken
.
To retrieve the next set of model compilation jobs, use this token in
the next request.
listCompilationJobsResponse_httpStatus :: Lens' ListCompilationJobsResponse Int Source #
The response's http status code.
listCompilationJobsResponse_compilationJobSummaries :: Lens' ListCompilationJobsResponse [CompilationJobSummary] Source #
An array of CompilationJobSummary objects, each describing a model compilation job.
ListContexts
listContexts_contextType :: Lens' ListContexts (Maybe Text) Source #
A filter that returns only contexts of the specified type.
listContexts_createdAfter :: Lens' ListContexts (Maybe UTCTime) Source #
A filter that returns only contexts created on or after the specified time.
listContexts_createdBefore :: Lens' ListContexts (Maybe UTCTime) Source #
A filter that returns only contexts created on or before the specified time.
listContexts_maxResults :: Lens' ListContexts (Maybe Natural) Source #
The maximum number of contexts to return in the response. The default value is 10.
listContexts_nextToken :: Lens' ListContexts (Maybe Text) Source #
If the previous call to ListContexts
didn't return the full set of
contexts, the call returns a token for getting the next set of contexts.
listContexts_sortBy :: Lens' ListContexts (Maybe SortContextsBy) Source #
The property used to sort results. The default value is CreationTime
.
listContexts_sortOrder :: Lens' ListContexts (Maybe SortOrder) Source #
The sort order. The default value is Descending
.
listContexts_sourceUri :: Lens' ListContexts (Maybe Text) Source #
A filter that returns only contexts with the specified source URI.
listContextsResponse_contextSummaries :: Lens' ListContextsResponse (Maybe [ContextSummary]) Source #
A list of contexts and their properties.
listContextsResponse_nextToken :: Lens' ListContextsResponse (Maybe Text) Source #
A token for getting the next set of contexts, if there are any.
listContextsResponse_httpStatus :: Lens' ListContextsResponse Int Source #
The response's http status code.
ListDataQualityJobDefinitions
listDataQualityJobDefinitions_creationTimeAfter :: Lens' ListDataQualityJobDefinitions (Maybe UTCTime) Source #
A filter that returns only data quality monitoring job definitions created after the specified time.
listDataQualityJobDefinitions_creationTimeBefore :: Lens' ListDataQualityJobDefinitions (Maybe UTCTime) Source #
A filter that returns only data quality monitoring job definitions created before the specified time.
listDataQualityJobDefinitions_endpointName :: Lens' ListDataQualityJobDefinitions (Maybe Text) Source #
A filter that lists the data quality job definitions associated with the specified endpoint.
listDataQualityJobDefinitions_maxResults :: Lens' ListDataQualityJobDefinitions (Maybe Natural) Source #
The maximum number of data quality monitoring job definitions to return in the response.
listDataQualityJobDefinitions_nameContains :: Lens' ListDataQualityJobDefinitions (Maybe Text) Source #
A string in the data quality monitoring job definition name. This filter returns only data quality monitoring job definitions whose name contains the specified string.
listDataQualityJobDefinitions_nextToken :: Lens' ListDataQualityJobDefinitions (Maybe Text) Source #
If the result of the previous ListDataQualityJobDefinitions
request
was truncated, the response includes a NextToken
. To retrieve the next
set of transform jobs, use the token in the next request.>
listDataQualityJobDefinitions_sortBy :: Lens' ListDataQualityJobDefinitions (Maybe MonitoringJobDefinitionSortKey) Source #
The field to sort results by. The default is CreationTime
.
listDataQualityJobDefinitions_sortOrder :: Lens' ListDataQualityJobDefinitions (Maybe SortOrder) Source #
The sort order for results. The default is Descending
.
listDataQualityJobDefinitionsResponse_nextToken :: Lens' ListDataQualityJobDefinitionsResponse (Maybe Text) Source #
If the result of the previous ListDataQualityJobDefinitions
request
was truncated, the response includes a NextToken
. To retrieve the next
set of data quality monitoring job definitions, use the token in the
next request.
listDataQualityJobDefinitionsResponse_httpStatus :: Lens' ListDataQualityJobDefinitionsResponse Int Source #
The response's http status code.
listDataQualityJobDefinitionsResponse_jobDefinitionSummaries :: Lens' ListDataQualityJobDefinitionsResponse [MonitoringJobDefinitionSummary] Source #
A list of data quality monitoring job definitions.
ListDeviceFleets
listDeviceFleets_creationTimeAfter :: Lens' ListDeviceFleets (Maybe UTCTime) Source #
Filter fleets where packaging job was created after specified time.
listDeviceFleets_creationTimeBefore :: Lens' ListDeviceFleets (Maybe UTCTime) Source #
Filter fleets where the edge packaging job was created before specified time.
listDeviceFleets_lastModifiedTimeAfter :: Lens' ListDeviceFleets (Maybe UTCTime) Source #
Select fleets where the job was updated after X
listDeviceFleets_lastModifiedTimeBefore :: Lens' ListDeviceFleets (Maybe UTCTime) Source #
Select fleets where the job was updated before X
listDeviceFleets_maxResults :: Lens' ListDeviceFleets (Maybe Int) Source #
The maximum number of results to select.
listDeviceFleets_nameContains :: Lens' ListDeviceFleets (Maybe Text) Source #
Filter for fleets containing this name in their fleet device name.
listDeviceFleets_nextToken :: Lens' ListDeviceFleets (Maybe Text) Source #
The response from the last list when returning a list large enough to need tokening.
listDeviceFleets_sortBy :: Lens' ListDeviceFleets (Maybe ListDeviceFleetsSortBy) Source #
The column to sort by.
listDeviceFleets_sortOrder :: Lens' ListDeviceFleets (Maybe SortOrder) Source #
What direction to sort in.
listDeviceFleetsResponse_nextToken :: Lens' ListDeviceFleetsResponse (Maybe Text) Source #
The response from the last list when returning a list large enough to need tokening.
listDeviceFleetsResponse_httpStatus :: Lens' ListDeviceFleetsResponse Int Source #
The response's http status code.
listDeviceFleetsResponse_deviceFleetSummaries :: Lens' ListDeviceFleetsResponse [DeviceFleetSummary] Source #
Summary of the device fleet.
ListDevices
listDevices_deviceFleetName :: Lens' ListDevices (Maybe Text) Source #
Filter for fleets containing this name in their device fleet name.
listDevices_latestHeartbeatAfter :: Lens' ListDevices (Maybe UTCTime) Source #
Select fleets where the job was updated after X
listDevices_maxResults :: Lens' ListDevices (Maybe Int) Source #
Maximum number of results to select.
listDevices_modelName :: Lens' ListDevices (Maybe Text) Source #
A filter that searches devices that contains this name in any of their models.
listDevices_nextToken :: Lens' ListDevices (Maybe Text) Source #
The response from the last list when returning a list large enough to need tokening.
listDevicesResponse_nextToken :: Lens' ListDevicesResponse (Maybe Text) Source #
The response from the last list when returning a list large enough to need tokening.
listDevicesResponse_httpStatus :: Lens' ListDevicesResponse Int Source #
The response's http status code.
listDevicesResponse_deviceSummaries :: Lens' ListDevicesResponse [DeviceSummary] Source #
Summary of devices.
ListDomains
listDomains_maxResults :: Lens' ListDomains (Maybe Natural) Source #
Returns a list up to a specified limit.
listDomains_nextToken :: Lens' ListDomains (Maybe Text) Source #
If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
listDomainsResponse_domains :: Lens' ListDomainsResponse (Maybe [DomainDetails]) Source #
The list of domains.
listDomainsResponse_nextToken :: Lens' ListDomainsResponse (Maybe Text) Source #
If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
listDomainsResponse_httpStatus :: Lens' ListDomainsResponse Int Source #
The response's http status code.
ListEdgeDeploymentPlans
listEdgeDeploymentPlans_creationTimeAfter :: Lens' ListEdgeDeploymentPlans (Maybe UTCTime) Source #
Selects edge deployment plans created after this time.
listEdgeDeploymentPlans_creationTimeBefore :: Lens' ListEdgeDeploymentPlans (Maybe UTCTime) Source #
Selects edge deployment plans created before this time.
listEdgeDeploymentPlans_deviceFleetNameContains :: Lens' ListEdgeDeploymentPlans (Maybe Text) Source #
Selects edge deployment plans with a device fleet name containing this name.
listEdgeDeploymentPlans_lastModifiedTimeAfter :: Lens' ListEdgeDeploymentPlans (Maybe UTCTime) Source #
Selects edge deployment plans that were last updated after this time.
listEdgeDeploymentPlans_lastModifiedTimeBefore :: Lens' ListEdgeDeploymentPlans (Maybe UTCTime) Source #
Selects edge deployment plans that were last updated before this time.
listEdgeDeploymentPlans_maxResults :: Lens' ListEdgeDeploymentPlans (Maybe Int) Source #
The maximum number of results to select (50 by default).
listEdgeDeploymentPlans_nameContains :: Lens' ListEdgeDeploymentPlans (Maybe Text) Source #
Selects edge deployment plans with names containing this name.
listEdgeDeploymentPlans_nextToken :: Lens' ListEdgeDeploymentPlans (Maybe Text) Source #
The response from the last list when returning a list large enough to need tokening.
listEdgeDeploymentPlans_sortBy :: Lens' ListEdgeDeploymentPlans (Maybe ListEdgeDeploymentPlansSortBy) Source #
The column by which to sort the edge deployment plans. Can be one of
NAME
, DEVICEFLEETNAME
, CREATIONTIME
, LASTMODIFIEDTIME
.
listEdgeDeploymentPlans_sortOrder :: Lens' ListEdgeDeploymentPlans (Maybe SortOrder) Source #
The direction of the sorting (ascending or descending).
listEdgeDeploymentPlansResponse_nextToken :: Lens' ListEdgeDeploymentPlansResponse (Maybe Text) Source #
The token to use when calling the next page of results.
listEdgeDeploymentPlansResponse_httpStatus :: Lens' ListEdgeDeploymentPlansResponse Int Source #
The response's http status code.
listEdgeDeploymentPlansResponse_edgeDeploymentPlanSummaries :: Lens' ListEdgeDeploymentPlansResponse [EdgeDeploymentPlanSummary] Source #
List of summaries of edge deployment plans.
ListEdgePackagingJobs
listEdgePackagingJobs_creationTimeAfter :: Lens' ListEdgePackagingJobs (Maybe UTCTime) Source #
Select jobs where the job was created after specified time.
listEdgePackagingJobs_creationTimeBefore :: Lens' ListEdgePackagingJobs (Maybe UTCTime) Source #
Select jobs where the job was created before specified time.
listEdgePackagingJobs_lastModifiedTimeAfter :: Lens' ListEdgePackagingJobs (Maybe UTCTime) Source #
Select jobs where the job was updated after specified time.
listEdgePackagingJobs_lastModifiedTimeBefore :: Lens' ListEdgePackagingJobs (Maybe UTCTime) Source #
Select jobs where the job was updated before specified time.
listEdgePackagingJobs_maxResults :: Lens' ListEdgePackagingJobs (Maybe Int) Source #
Maximum number of results to select.
listEdgePackagingJobs_modelNameContains :: Lens' ListEdgePackagingJobs (Maybe Text) Source #
Filter for jobs where the model name contains this string.
listEdgePackagingJobs_nameContains :: Lens' ListEdgePackagingJobs (Maybe Text) Source #
Filter for jobs containing this name in their packaging job name.
listEdgePackagingJobs_nextToken :: Lens' ListEdgePackagingJobs (Maybe Text) Source #
The response from the last list when returning a list large enough to need tokening.
listEdgePackagingJobs_sortBy :: Lens' ListEdgePackagingJobs (Maybe ListEdgePackagingJobsSortBy) Source #
Use to specify what column to sort by.
listEdgePackagingJobs_sortOrder :: Lens' ListEdgePackagingJobs (Maybe SortOrder) Source #
What direction to sort by.
listEdgePackagingJobs_statusEquals :: Lens' ListEdgePackagingJobs (Maybe EdgePackagingJobStatus) Source #
The job status to filter for.
listEdgePackagingJobsResponse_nextToken :: Lens' ListEdgePackagingJobsResponse (Maybe Text) Source #
Token to use when calling the next page of results.
listEdgePackagingJobsResponse_httpStatus :: Lens' ListEdgePackagingJobsResponse Int Source #
The response's http status code.
listEdgePackagingJobsResponse_edgePackagingJobSummaries :: Lens' ListEdgePackagingJobsResponse [EdgePackagingJobSummary] Source #
Summaries of edge packaging jobs.
ListEndpointConfigs
listEndpointConfigs_creationTimeAfter :: Lens' ListEndpointConfigs (Maybe UTCTime) Source #
A filter that returns only endpoint configurations with a creation time greater than or equal to the specified time (timestamp).
listEndpointConfigs_creationTimeBefore :: Lens' ListEndpointConfigs (Maybe UTCTime) Source #
A filter that returns only endpoint configurations created before the specified time (timestamp).
listEndpointConfigs_maxResults :: Lens' ListEndpointConfigs (Maybe Natural) Source #
The maximum number of training jobs to return in the response.
listEndpointConfigs_nameContains :: Lens' ListEndpointConfigs (Maybe Text) Source #
A string in the endpoint configuration name. This filter returns only endpoint configurations whose name contains the specified string.
listEndpointConfigs_nextToken :: Lens' ListEndpointConfigs (Maybe Text) Source #
If the result of the previous ListEndpointConfig
request was
truncated, the response includes a NextToken
. To retrieve the next set
of endpoint configurations, use the token in the next request.
listEndpointConfigs_sortBy :: Lens' ListEndpointConfigs (Maybe EndpointConfigSortKey) Source #
The field to sort results by. The default is CreationTime
.
listEndpointConfigs_sortOrder :: Lens' ListEndpointConfigs (Maybe OrderKey) Source #
The sort order for results. The default is Descending
.
listEndpointConfigsResponse_nextToken :: Lens' ListEndpointConfigsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of endpoint configurations, use it in the subsequent request
listEndpointConfigsResponse_httpStatus :: Lens' ListEndpointConfigsResponse Int Source #
The response's http status code.
listEndpointConfigsResponse_endpointConfigs :: Lens' ListEndpointConfigsResponse [EndpointConfigSummary] Source #
An array of endpoint configurations.
ListEndpoints
listEndpoints_creationTimeAfter :: Lens' ListEndpoints (Maybe UTCTime) Source #
A filter that returns only endpoints with a creation time greater than or equal to the specified time (timestamp).
listEndpoints_creationTimeBefore :: Lens' ListEndpoints (Maybe UTCTime) Source #
A filter that returns only endpoints that were created before the specified time (timestamp).
listEndpoints_lastModifiedTimeAfter :: Lens' ListEndpoints (Maybe UTCTime) Source #
A filter that returns only endpoints that were modified after the specified timestamp.
listEndpoints_lastModifiedTimeBefore :: Lens' ListEndpoints (Maybe UTCTime) Source #
A filter that returns only endpoints that were modified before the specified timestamp.
listEndpoints_maxResults :: Lens' ListEndpoints (Maybe Natural) Source #
The maximum number of endpoints to return in the response. This value defaults to 10.
listEndpoints_nameContains :: Lens' ListEndpoints (Maybe Text) Source #
A string in endpoint names. This filter returns only endpoints whose name contains the specified string.
listEndpoints_nextToken :: Lens' ListEndpoints (Maybe Text) Source #
If the result of a ListEndpoints
request was truncated, the response
includes a NextToken
. To retrieve the next set of endpoints, use the
token in the next request.
listEndpoints_sortBy :: Lens' ListEndpoints (Maybe EndpointSortKey) Source #
Sorts the list of results. The default is CreationTime
.
listEndpoints_sortOrder :: Lens' ListEndpoints (Maybe OrderKey) Source #
The sort order for results. The default is Descending
.
listEndpoints_statusEquals :: Lens' ListEndpoints (Maybe EndpointStatus) Source #
A filter that returns only endpoints with the specified status.
listEndpointsResponse_nextToken :: Lens' ListEndpointsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of training jobs, use it in the subsequent request.
listEndpointsResponse_httpStatus :: Lens' ListEndpointsResponse Int Source #
The response's http status code.
listEndpointsResponse_endpoints :: Lens' ListEndpointsResponse [EndpointSummary] Source #
An array or endpoint objects.
ListExperiments
listExperiments_createdAfter :: Lens' ListExperiments (Maybe UTCTime) Source #
A filter that returns only experiments created after the specified time.
listExperiments_createdBefore :: Lens' ListExperiments (Maybe UTCTime) Source #
A filter that returns only experiments created before the specified time.
listExperiments_maxResults :: Lens' ListExperiments (Maybe Natural) Source #
The maximum number of experiments to return in the response. The default value is 10.
listExperiments_nextToken :: Lens' ListExperiments (Maybe Text) Source #
If the previous call to ListExperiments
didn't return the full set of
experiments, the call returns a token for getting the next set of
experiments.
listExperiments_sortBy :: Lens' ListExperiments (Maybe SortExperimentsBy) Source #
The property used to sort results. The default value is CreationTime
.
listExperiments_sortOrder :: Lens' ListExperiments (Maybe SortOrder) Source #
The sort order. The default value is Descending
.
listExperimentsResponse_experimentSummaries :: Lens' ListExperimentsResponse (Maybe [ExperimentSummary]) Source #
A list of the summaries of your experiments.
listExperimentsResponse_nextToken :: Lens' ListExperimentsResponse (Maybe Text) Source #
A token for getting the next set of experiments, if there are any.
listExperimentsResponse_httpStatus :: Lens' ListExperimentsResponse Int Source #
The response's http status code.
ListFeatureGroups
listFeatureGroups_creationTimeAfter :: Lens' ListFeatureGroups (Maybe UTCTime) Source #
Use this parameter to search for FeatureGroups
s created after a
specific date and time.
listFeatureGroups_creationTimeBefore :: Lens' ListFeatureGroups (Maybe UTCTime) Source #
Use this parameter to search for FeatureGroups
s created before a
specific date and time.
listFeatureGroups_featureGroupStatusEquals :: Lens' ListFeatureGroups (Maybe FeatureGroupStatus) Source #
A FeatureGroup
status. Filters by FeatureGroup
status.
listFeatureGroups_maxResults :: Lens' ListFeatureGroups (Maybe Natural) Source #
The maximum number of results returned by ListFeatureGroups
.
listFeatureGroups_nameContains :: Lens' ListFeatureGroups (Maybe Text) Source #
A string that partially matches one or more FeatureGroup
s names.
Filters FeatureGroup
s by name.
listFeatureGroups_nextToken :: Lens' ListFeatureGroups (Maybe Text) Source #
A token to resume pagination of ListFeatureGroups
results.
listFeatureGroups_offlineStoreStatusEquals :: Lens' ListFeatureGroups (Maybe OfflineStoreStatusValue) Source #
An OfflineStore
status. Filters by OfflineStore
status.
listFeatureGroups_sortBy :: Lens' ListFeatureGroups (Maybe FeatureGroupSortBy) Source #
The value on which the feature group list is sorted.
listFeatureGroups_sortOrder :: Lens' ListFeatureGroups (Maybe FeatureGroupSortOrder) Source #
The order in which feature groups are listed.
listFeatureGroupsResponse_nextToken :: Lens' ListFeatureGroupsResponse (Maybe Text) Source #
A token to resume pagination of ListFeatureGroups
results.
listFeatureGroupsResponse_httpStatus :: Lens' ListFeatureGroupsResponse Int Source #
The response's http status code.
listFeatureGroupsResponse_featureGroupSummaries :: Lens' ListFeatureGroupsResponse [FeatureGroupSummary] Source #
A summary of feature groups.
ListFlowDefinitions
listFlowDefinitions_creationTimeAfter :: Lens' ListFlowDefinitions (Maybe UTCTime) Source #
A filter that returns only flow definitions with a creation time greater than or equal to the specified timestamp.
listFlowDefinitions_creationTimeBefore :: Lens' ListFlowDefinitions (Maybe UTCTime) Source #
A filter that returns only flow definitions that were created before the specified timestamp.
listFlowDefinitions_maxResults :: Lens' ListFlowDefinitions (Maybe Natural) Source #
The total number of items to return. If the total number of available
items is more than the value specified in MaxResults
, then a
NextToken
will be provided in the output that you can use to resume
pagination.
listFlowDefinitions_nextToken :: Lens' ListFlowDefinitions (Maybe Text) Source #
A token to resume pagination.
listFlowDefinitions_sortOrder :: Lens' ListFlowDefinitions (Maybe SortOrder) Source #
An optional value that specifies whether you want the results sorted in
Ascending
or Descending
order.
listFlowDefinitionsResponse_nextToken :: Lens' ListFlowDefinitionsResponse (Maybe Text) Source #
A token to resume pagination.
listFlowDefinitionsResponse_httpStatus :: Lens' ListFlowDefinitionsResponse Int Source #
The response's http status code.
listFlowDefinitionsResponse_flowDefinitionSummaries :: Lens' ListFlowDefinitionsResponse [FlowDefinitionSummary] Source #
An array of objects describing the flow definitions.
ListHubContentVersions
listHubContentVersions_creationTimeAfter :: Lens' ListHubContentVersions (Maybe UTCTime) Source #
Only list hub content versions that were created after the time specified.
listHubContentVersions_creationTimeBefore :: Lens' ListHubContentVersions (Maybe UTCTime) Source #
Only list hub content versions that were created before the time specified.
listHubContentVersions_maxResults :: Lens' ListHubContentVersions (Maybe Natural) Source #
The maximum number of hub content versions to list.
listHubContentVersions_maxSchemaVersion :: Lens' ListHubContentVersions (Maybe Text) Source #
The upper bound of the hub content schema version.
listHubContentVersions_minVersion :: Lens' ListHubContentVersions (Maybe Text) Source #
The lower bound of the hub content versions to list.
listHubContentVersions_nextToken :: Lens' ListHubContentVersions (Maybe Text) Source #
If the response to a previous ListHubContentVersions
request was
truncated, the response includes a NextToken
. To retrieve the next set
of hub content versions, use the token in the next request.
listHubContentVersions_sortBy :: Lens' ListHubContentVersions (Maybe HubContentSortBy) Source #
Sort hub content versions by either name or creation time.
listHubContentVersions_sortOrder :: Lens' ListHubContentVersions (Maybe SortOrder) Source #
Sort hub content versions by ascending or descending order.
listHubContentVersions_hubName :: Lens' ListHubContentVersions Text Source #
The name of the hub to list the content versions of.
listHubContentVersions_hubContentType :: Lens' ListHubContentVersions HubContentType Source #
The type of hub content to list versions of.
listHubContentVersions_hubContentName :: Lens' ListHubContentVersions Text Source #
The name of the hub content.
listHubContentVersionsResponse_nextToken :: Lens' ListHubContentVersionsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of hub content versions, use it in the subsequent request.
listHubContentVersionsResponse_httpStatus :: Lens' ListHubContentVersionsResponse Int Source #
The response's http status code.
listHubContentVersionsResponse_hubContentSummaries :: Lens' ListHubContentVersionsResponse [HubContentInfo] Source #
The summaries of the listed hub content versions.
ListHubContents
listHubContents_creationTimeAfter :: Lens' ListHubContents (Maybe UTCTime) Source #
Only list hub content that was created after the time specified.
listHubContents_creationTimeBefore :: Lens' ListHubContents (Maybe UTCTime) Source #
Only list hub content that was created before the time specified.
listHubContents_maxResults :: Lens' ListHubContents (Maybe Natural) Source #
The maximum amount of hub content to list.
listHubContents_maxSchemaVersion :: Lens' ListHubContents (Maybe Text) Source #
The upper bound of the hub content schema verion.
listHubContents_nameContains :: Lens' ListHubContents (Maybe Text) Source #
Only list hub content if the name contains the specified string.
listHubContents_nextToken :: Lens' ListHubContents (Maybe Text) Source #
If the response to a previous ListHubContents
request was truncated,
the response includes a NextToken
. To retrieve the next set of hub
content, use the token in the next request.
listHubContents_sortBy :: Lens' ListHubContents (Maybe HubContentSortBy) Source #
Sort hub content versions by either name or creation time.
listHubContents_sortOrder :: Lens' ListHubContents (Maybe SortOrder) Source #
Sort hubs by ascending or descending order.
listHubContents_hubName :: Lens' ListHubContents Text Source #
The name of the hub to list the contents of.
listHubContents_hubContentType :: Lens' ListHubContents HubContentType Source #
The type of hub content to list.
listHubContentsResponse_nextToken :: Lens' ListHubContentsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of hub content, use it in the subsequent request.
listHubContentsResponse_httpStatus :: Lens' ListHubContentsResponse Int Source #
The response's http status code.
listHubContentsResponse_hubContentSummaries :: Lens' ListHubContentsResponse [HubContentInfo] Source #
The summaries of the listed hub content.
ListHubs
listHubs_creationTimeAfter :: Lens' ListHubs (Maybe UTCTime) Source #
Only list hubs that were created after the time specified.
listHubs_creationTimeBefore :: Lens' ListHubs (Maybe UTCTime) Source #
Only list hubs that were created before the time specified.
listHubs_lastModifiedTimeAfter :: Lens' ListHubs (Maybe UTCTime) Source #
Only list hubs that were last modified after the time specified.
listHubs_lastModifiedTimeBefore :: Lens' ListHubs (Maybe UTCTime) Source #
Only list hubs that were last modified before the time specified.
listHubs_nameContains :: Lens' ListHubs (Maybe Text) Source #
Only list hubs with names that contain the specified string.
listHubs_nextToken :: Lens' ListHubs (Maybe Text) Source #
If the response to a previous ListHubs
request was truncated, the
response includes a NextToken
. To retrieve the next set of hubs, use
the token in the next request.
listHubs_sortBy :: Lens' ListHubs (Maybe HubSortBy) Source #
Sort hubs by either name or creation time.
listHubs_sortOrder :: Lens' ListHubs (Maybe SortOrder) Source #
Sort hubs by ascending or descending order.
listHubsResponse_nextToken :: Lens' ListHubsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of hubs, use it in the subsequent request.
listHubsResponse_httpStatus :: Lens' ListHubsResponse Int Source #
The response's http status code.
listHubsResponse_hubSummaries :: Lens' ListHubsResponse [HubInfo] Source #
The summaries of the listed hubs.
ListHumanTaskUis
listHumanTaskUis_creationTimeAfter :: Lens' ListHumanTaskUis (Maybe UTCTime) Source #
A filter that returns only human task user interfaces with a creation time greater than or equal to the specified timestamp.
listHumanTaskUis_creationTimeBefore :: Lens' ListHumanTaskUis (Maybe UTCTime) Source #
A filter that returns only human task user interfaces that were created before the specified timestamp.
listHumanTaskUis_maxResults :: Lens' ListHumanTaskUis (Maybe Natural) Source #
The total number of items to return. If the total number of available
items is more than the value specified in MaxResults
, then a
NextToken
will be provided in the output that you can use to resume
pagination.
listHumanTaskUis_nextToken :: Lens' ListHumanTaskUis (Maybe Text) Source #
A token to resume pagination.
listHumanTaskUis_sortOrder :: Lens' ListHumanTaskUis (Maybe SortOrder) Source #
An optional value that specifies whether you want the results sorted in
Ascending
or Descending
order.
listHumanTaskUisResponse_nextToken :: Lens' ListHumanTaskUisResponse (Maybe Text) Source #
A token to resume pagination.
listHumanTaskUisResponse_httpStatus :: Lens' ListHumanTaskUisResponse Int Source #
The response's http status code.
listHumanTaskUisResponse_humanTaskUiSummaries :: Lens' ListHumanTaskUisResponse [HumanTaskUiSummary] Source #
An array of objects describing the human task user interfaces.
ListHyperParameterTuningJobs
listHyperParameterTuningJobs_creationTimeAfter :: Lens' ListHyperParameterTuningJobs (Maybe UTCTime) Source #
A filter that returns only tuning jobs that were created after the specified time.
listHyperParameterTuningJobs_creationTimeBefore :: Lens' ListHyperParameterTuningJobs (Maybe UTCTime) Source #
A filter that returns only tuning jobs that were created before the specified time.
listHyperParameterTuningJobs_lastModifiedTimeAfter :: Lens' ListHyperParameterTuningJobs (Maybe UTCTime) Source #
A filter that returns only tuning jobs that were modified after the specified time.
listHyperParameterTuningJobs_lastModifiedTimeBefore :: Lens' ListHyperParameterTuningJobs (Maybe UTCTime) Source #
A filter that returns only tuning jobs that were modified before the specified time.
listHyperParameterTuningJobs_maxResults :: Lens' ListHyperParameterTuningJobs (Maybe Natural) Source #
The maximum number of tuning jobs to return. The default value is 10.
listHyperParameterTuningJobs_nameContains :: Lens' ListHyperParameterTuningJobs (Maybe Text) Source #
A string in the tuning job name. This filter returns only tuning jobs whose name contains the specified string.
listHyperParameterTuningJobs_nextToken :: Lens' ListHyperParameterTuningJobs (Maybe Text) Source #
If the result of the previous ListHyperParameterTuningJobs
request was
truncated, the response includes a NextToken
. To retrieve the next set
of tuning jobs, use the token in the next request.
listHyperParameterTuningJobs_sortBy :: Lens' ListHyperParameterTuningJobs (Maybe HyperParameterTuningJobSortByOptions) Source #
The field to sort results by. The default is Name
.
listHyperParameterTuningJobs_sortOrder :: Lens' ListHyperParameterTuningJobs (Maybe SortOrder) Source #
The sort order for results. The default is Ascending
.
listHyperParameterTuningJobs_statusEquals :: Lens' ListHyperParameterTuningJobs (Maybe HyperParameterTuningJobStatus) Source #
A filter that returns only tuning jobs with the specified status.
listHyperParameterTuningJobsResponse_nextToken :: Lens' ListHyperParameterTuningJobsResponse (Maybe Text) Source #
If the result of this ListHyperParameterTuningJobs
request was
truncated, the response includes a NextToken
. To retrieve the next set
of tuning jobs, use the token in the next request.
listHyperParameterTuningJobsResponse_httpStatus :: Lens' ListHyperParameterTuningJobsResponse Int Source #
The response's http status code.
listHyperParameterTuningJobsResponse_hyperParameterTuningJobSummaries :: Lens' ListHyperParameterTuningJobsResponse [HyperParameterTuningJobSummary] Source #
A list of HyperParameterTuningJobSummary objects that describe the
tuning jobs that the ListHyperParameterTuningJobs
request returned.
ListImageVersions
listImageVersions_creationTimeAfter :: Lens' ListImageVersions (Maybe UTCTime) Source #
A filter that returns only versions created on or after the specified time.
listImageVersions_creationTimeBefore :: Lens' ListImageVersions (Maybe UTCTime) Source #
A filter that returns only versions created on or before the specified time.
listImageVersions_lastModifiedTimeAfter :: Lens' ListImageVersions (Maybe UTCTime) Source #
A filter that returns only versions modified on or after the specified time.
listImageVersions_lastModifiedTimeBefore :: Lens' ListImageVersions (Maybe UTCTime) Source #
A filter that returns only versions modified on or before the specified time.
listImageVersions_maxResults :: Lens' ListImageVersions (Maybe Natural) Source #
The maximum number of versions to return in the response. The default value is 10.
listImageVersions_nextToken :: Lens' ListImageVersions (Maybe Text) Source #
If the previous call to ListImageVersions
didn't return the full set
of versions, the call returns a token for getting the next set of
versions.
listImageVersions_sortBy :: Lens' ListImageVersions (Maybe ImageVersionSortBy) Source #
The property used to sort results. The default value is CREATION_TIME
.
listImageVersions_sortOrder :: Lens' ListImageVersions (Maybe ImageVersionSortOrder) Source #
The sort order. The default value is DESCENDING
.
listImageVersions_imageName :: Lens' ListImageVersions Text Source #
The name of the image to list the versions of.
listImageVersionsResponse_imageVersions :: Lens' ListImageVersionsResponse (Maybe [ImageVersion]) Source #
A list of versions and their properties.
listImageVersionsResponse_nextToken :: Lens' ListImageVersionsResponse (Maybe Text) Source #
A token for getting the next set of versions, if there are any.
listImageVersionsResponse_httpStatus :: Lens' ListImageVersionsResponse Int Source #
The response's http status code.
ListImages
listImages_creationTimeAfter :: Lens' ListImages (Maybe UTCTime) Source #
A filter that returns only images created on or after the specified time.
listImages_creationTimeBefore :: Lens' ListImages (Maybe UTCTime) Source #
A filter that returns only images created on or before the specified time.
listImages_lastModifiedTimeAfter :: Lens' ListImages (Maybe UTCTime) Source #
A filter that returns only images modified on or after the specified time.
listImages_lastModifiedTimeBefore :: Lens' ListImages (Maybe UTCTime) Source #
A filter that returns only images modified on or before the specified time.
listImages_maxResults :: Lens' ListImages (Maybe Natural) Source #
The maximum number of images to return in the response. The default value is 10.
listImages_nameContains :: Lens' ListImages (Maybe Text) Source #
A filter that returns only images whose name contains the specified string.
listImages_nextToken :: Lens' ListImages (Maybe Text) Source #
If the previous call to ListImages
didn't return the full set of
images, the call returns a token for getting the next set of images.
listImages_sortBy :: Lens' ListImages (Maybe ImageSortBy) Source #
The property used to sort results. The default value is CREATION_TIME
.
listImages_sortOrder :: Lens' ListImages (Maybe ImageSortOrder) Source #
The sort order. The default value is DESCENDING
.
listImagesResponse_images :: Lens' ListImagesResponse (Maybe [Image]) Source #
A list of images and their properties.
listImagesResponse_nextToken :: Lens' ListImagesResponse (Maybe Text) Source #
A token for getting the next set of images, if there are any.
listImagesResponse_httpStatus :: Lens' ListImagesResponse Int Source #
The response's http status code.
ListInferenceExperiments
listInferenceExperiments_creationTimeAfter :: Lens' ListInferenceExperiments (Maybe UTCTime) Source #
Selects inference experiments which were created after this timestamp.
listInferenceExperiments_creationTimeBefore :: Lens' ListInferenceExperiments (Maybe UTCTime) Source #
Selects inference experiments which were created before this timestamp.
listInferenceExperiments_lastModifiedTimeAfter :: Lens' ListInferenceExperiments (Maybe UTCTime) Source #
Selects inference experiments which were last modified after this timestamp.
listInferenceExperiments_lastModifiedTimeBefore :: Lens' ListInferenceExperiments (Maybe UTCTime) Source #
Selects inference experiments which were last modified before this timestamp.
listInferenceExperiments_maxResults :: Lens' ListInferenceExperiments (Maybe Natural) Source #
The maximum number of results to select.
listInferenceExperiments_nameContains :: Lens' ListInferenceExperiments (Maybe Text) Source #
Selects inference experiments whose names contain this name.
listInferenceExperiments_nextToken :: Lens' ListInferenceExperiments (Maybe Text) Source #
The response from the last list when returning a list large enough to need tokening.
listInferenceExperiments_sortBy :: Lens' ListInferenceExperiments (Maybe SortInferenceExperimentsBy) Source #
The column by which to sort the listed inference experiments.
listInferenceExperiments_sortOrder :: Lens' ListInferenceExperiments (Maybe SortOrder) Source #
The direction of sorting (ascending or descending).
listInferenceExperiments_statusEquals :: Lens' ListInferenceExperiments (Maybe InferenceExperimentStatus) Source #
Selects inference experiments which are in this status. For the possible statuses, see DescribeInferenceExperimentResponse$Status.
listInferenceExperiments_type :: Lens' ListInferenceExperiments (Maybe InferenceExperimentType) Source #
Selects inference experiments of this type. For the possible types of inference experiments, see CreateInferenceExperimentRequest$Type.
listInferenceExperimentsResponse_inferenceExperiments :: Lens' ListInferenceExperimentsResponse (Maybe [InferenceExperimentSummary]) Source #
List of inference experiments.
listInferenceExperimentsResponse_nextToken :: Lens' ListInferenceExperimentsResponse (Maybe Text) Source #
The token to use when calling the next page of results.
listInferenceExperimentsResponse_httpStatus :: Lens' ListInferenceExperimentsResponse Int Source #
The response's http status code.
ListInferenceRecommendationsJobSteps
listInferenceRecommendationsJobSteps_maxResults :: Lens' ListInferenceRecommendationsJobSteps (Maybe Natural) Source #
The maximum number of results to return.
listInferenceRecommendationsJobSteps_nextToken :: Lens' ListInferenceRecommendationsJobSteps (Maybe Text) Source #
A token that you can specify to return more results from the list. Specify this field if you have a token that was returned from a previous request.
listInferenceRecommendationsJobSteps_status :: Lens' ListInferenceRecommendationsJobSteps (Maybe RecommendationJobStatus) Source #
A filter to return benchmarks of a specified status. If this field is left empty, then all benchmarks are returned.
listInferenceRecommendationsJobSteps_stepType :: Lens' ListInferenceRecommendationsJobSteps (Maybe RecommendationStepType) Source #
A filter to return details about the specified type of subtask.
BENCHMARK
: Evaluate the performance of your model on different
instance types.
listInferenceRecommendationsJobSteps_jobName :: Lens' ListInferenceRecommendationsJobSteps Text Source #
The name for the Inference Recommender job.
listInferenceRecommendationsJobStepsResponse_nextToken :: Lens' ListInferenceRecommendationsJobStepsResponse (Maybe Text) Source #
A token that you can specify in your next request to return more results from the list.
listInferenceRecommendationsJobStepsResponse_steps :: Lens' ListInferenceRecommendationsJobStepsResponse (Maybe [InferenceRecommendationsJobStep]) Source #
A list of all subtask details in Inference Recommender.
listInferenceRecommendationsJobStepsResponse_httpStatus :: Lens' ListInferenceRecommendationsJobStepsResponse Int Source #
The response's http status code.
ListInferenceRecommendationsJobs
listInferenceRecommendationsJobs_creationTimeAfter :: Lens' ListInferenceRecommendationsJobs (Maybe UTCTime) Source #
A filter that returns only jobs created after the specified time (timestamp).
listInferenceRecommendationsJobs_creationTimeBefore :: Lens' ListInferenceRecommendationsJobs (Maybe UTCTime) Source #
A filter that returns only jobs created before the specified time (timestamp).
listInferenceRecommendationsJobs_lastModifiedTimeAfter :: Lens' ListInferenceRecommendationsJobs (Maybe UTCTime) Source #
A filter that returns only jobs that were last modified after the specified time (timestamp).
listInferenceRecommendationsJobs_lastModifiedTimeBefore :: Lens' ListInferenceRecommendationsJobs (Maybe UTCTime) Source #
A filter that returns only jobs that were last modified before the specified time (timestamp).
listInferenceRecommendationsJobs_maxResults :: Lens' ListInferenceRecommendationsJobs (Maybe Natural) Source #
The maximum number of recommendations to return in the response.
listInferenceRecommendationsJobs_nameContains :: Lens' ListInferenceRecommendationsJobs (Maybe Text) Source #
A string in the job name. This filter returns only recommendations whose name contains the specified string.
listInferenceRecommendationsJobs_nextToken :: Lens' ListInferenceRecommendationsJobs (Maybe Text) Source #
If the response to a previous ListInferenceRecommendationsJobsRequest
request was truncated, the response includes a NextToken
. To retrieve
the next set of recommendations, use the token in the next request.
listInferenceRecommendationsJobs_sortBy :: Lens' ListInferenceRecommendationsJobs (Maybe ListInferenceRecommendationsJobsSortBy) Source #
The parameter by which to sort the results.
listInferenceRecommendationsJobs_sortOrder :: Lens' ListInferenceRecommendationsJobs (Maybe SortOrder) Source #
The sort order for the results.
listInferenceRecommendationsJobs_statusEquals :: Lens' ListInferenceRecommendationsJobs (Maybe RecommendationJobStatus) Source #
A filter that retrieves only inference recommendations jobs with a specific status.
listInferenceRecommendationsJobsResponse_nextToken :: Lens' ListInferenceRecommendationsJobsResponse (Maybe Text) Source #
A token for getting the next set of recommendations, if there are any.
listInferenceRecommendationsJobsResponse_httpStatus :: Lens' ListInferenceRecommendationsJobsResponse Int Source #
The response's http status code.
listInferenceRecommendationsJobsResponse_inferenceRecommendationsJobs :: Lens' ListInferenceRecommendationsJobsResponse [InferenceRecommendationsJob] Source #
The recommendations created from the Amazon SageMaker Inference Recommender job.
ListLabelingJobs
listLabelingJobs_creationTimeAfter :: Lens' ListLabelingJobs (Maybe UTCTime) Source #
A filter that returns only labeling jobs created after the specified time (timestamp).
listLabelingJobs_creationTimeBefore :: Lens' ListLabelingJobs (Maybe UTCTime) Source #
A filter that returns only labeling jobs created before the specified time (timestamp).
listLabelingJobs_lastModifiedTimeAfter :: Lens' ListLabelingJobs (Maybe UTCTime) Source #
A filter that returns only labeling jobs modified after the specified time (timestamp).
listLabelingJobs_lastModifiedTimeBefore :: Lens' ListLabelingJobs (Maybe UTCTime) Source #
A filter that returns only labeling jobs modified before the specified time (timestamp).
listLabelingJobs_maxResults :: Lens' ListLabelingJobs (Maybe Natural) Source #
The maximum number of labeling jobs to return in each page of the response.
listLabelingJobs_nameContains :: Lens' ListLabelingJobs (Maybe Text) Source #
A string in the labeling job name. This filter returns only labeling jobs whose name contains the specified string.
listLabelingJobs_nextToken :: Lens' ListLabelingJobs (Maybe Text) Source #
If the result of the previous ListLabelingJobs
request was truncated,
the response includes a NextToken
. To retrieve the next set of
labeling jobs, use the token in the next request.
listLabelingJobs_sortBy :: Lens' ListLabelingJobs (Maybe SortBy) Source #
The field to sort results by. The default is CreationTime
.
listLabelingJobs_sortOrder :: Lens' ListLabelingJobs (Maybe SortOrder) Source #
The sort order for results. The default is Ascending
.
listLabelingJobs_statusEquals :: Lens' ListLabelingJobs (Maybe LabelingJobStatus) Source #
A filter that retrieves only labeling jobs with a specific status.
listLabelingJobsResponse_labelingJobSummaryList :: Lens' ListLabelingJobsResponse (Maybe [LabelingJobSummary]) Source #
An array of LabelingJobSummary
objects, each describing a labeling
job.
listLabelingJobsResponse_nextToken :: Lens' ListLabelingJobsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of labeling jobs, use it in the subsequent request.
listLabelingJobsResponse_httpStatus :: Lens' ListLabelingJobsResponse Int Source #
The response's http status code.
ListLabelingJobsForWorkteam
listLabelingJobsForWorkteam_creationTimeAfter :: Lens' ListLabelingJobsForWorkteam (Maybe UTCTime) Source #
A filter that returns only labeling jobs created after the specified time (timestamp).
listLabelingJobsForWorkteam_creationTimeBefore :: Lens' ListLabelingJobsForWorkteam (Maybe UTCTime) Source #
A filter that returns only labeling jobs created before the specified time (timestamp).
listLabelingJobsForWorkteam_jobReferenceCodeContains :: Lens' ListLabelingJobsForWorkteam (Maybe Text) Source #
A filter the limits jobs to only the ones whose job reference code contains the specified string.
listLabelingJobsForWorkteam_maxResults :: Lens' ListLabelingJobsForWorkteam (Maybe Natural) Source #
The maximum number of labeling jobs to return in each page of the response.
listLabelingJobsForWorkteam_nextToken :: Lens' ListLabelingJobsForWorkteam (Maybe Text) Source #
If the result of the previous ListLabelingJobsForWorkteam
request was
truncated, the response includes a NextToken
. To retrieve the next set
of labeling jobs, use the token in the next request.
listLabelingJobsForWorkteam_sortBy :: Lens' ListLabelingJobsForWorkteam (Maybe ListLabelingJobsForWorkteamSortByOptions) Source #
The field to sort results by. The default is CreationTime
.
listLabelingJobsForWorkteam_sortOrder :: Lens' ListLabelingJobsForWorkteam (Maybe SortOrder) Source #
The sort order for results. The default is Ascending
.
listLabelingJobsForWorkteam_workteamArn :: Lens' ListLabelingJobsForWorkteam Text Source #
The Amazon Resource Name (ARN) of the work team for which you want to see labeling jobs for.
listLabelingJobsForWorkteamResponse_nextToken :: Lens' ListLabelingJobsForWorkteamResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of labeling jobs, use it in the subsequent request.
listLabelingJobsForWorkteamResponse_httpStatus :: Lens' ListLabelingJobsForWorkteamResponse Int Source #
The response's http status code.
listLabelingJobsForWorkteamResponse_labelingJobSummaryList :: Lens' ListLabelingJobsForWorkteamResponse [LabelingJobForWorkteamSummary] Source #
An array of LabelingJobSummary
objects, each describing a labeling
job.
ListLineageGroups
listLineageGroups_createdAfter :: Lens' ListLineageGroups (Maybe UTCTime) Source #
A timestamp to filter against lineage groups created after a certain point in time.
listLineageGroups_createdBefore :: Lens' ListLineageGroups (Maybe UTCTime) Source #
A timestamp to filter against lineage groups created before a certain point in time.
listLineageGroups_maxResults :: Lens' ListLineageGroups (Maybe Natural) Source #
The maximum number of endpoints to return in the response. This value defaults to 10.
listLineageGroups_nextToken :: Lens' ListLineageGroups (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of algorithms, use it in the subsequent request.
listLineageGroups_sortBy :: Lens' ListLineageGroups (Maybe SortLineageGroupsBy) Source #
The parameter by which to sort the results. The default is
CreationTime
.
listLineageGroups_sortOrder :: Lens' ListLineageGroups (Maybe SortOrder) Source #
The sort order for the results. The default is Ascending
.
listLineageGroupsResponse_lineageGroupSummaries :: Lens' ListLineageGroupsResponse (Maybe [LineageGroupSummary]) Source #
A list of lineage groups and their properties.
listLineageGroupsResponse_nextToken :: Lens' ListLineageGroupsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of algorithms, use it in the subsequent request.
listLineageGroupsResponse_httpStatus :: Lens' ListLineageGroupsResponse Int Source #
The response's http status code.
ListModelBiasJobDefinitions
listModelBiasJobDefinitions_creationTimeAfter :: Lens' ListModelBiasJobDefinitions (Maybe UTCTime) Source #
A filter that returns only model bias jobs created after a specified time.
listModelBiasJobDefinitions_creationTimeBefore :: Lens' ListModelBiasJobDefinitions (Maybe UTCTime) Source #
A filter that returns only model bias jobs created before a specified time.
listModelBiasJobDefinitions_endpointName :: Lens' ListModelBiasJobDefinitions (Maybe Text) Source #
Name of the endpoint to monitor for model bias.
listModelBiasJobDefinitions_maxResults :: Lens' ListModelBiasJobDefinitions (Maybe Natural) Source #
The maximum number of model bias jobs to return in the response. The default value is 10.
listModelBiasJobDefinitions_nameContains :: Lens' ListModelBiasJobDefinitions (Maybe Text) Source #
Filter for model bias jobs whose name contains a specified string.
listModelBiasJobDefinitions_nextToken :: Lens' ListModelBiasJobDefinitions (Maybe Text) Source #
The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
listModelBiasJobDefinitions_sortBy :: Lens' ListModelBiasJobDefinitions (Maybe MonitoringJobDefinitionSortKey) Source #
Whether to sort results by the Name
or CreationTime
field. The
default is CreationTime
.
listModelBiasJobDefinitions_sortOrder :: Lens' ListModelBiasJobDefinitions (Maybe SortOrder) Source #
Whether to sort the results in Ascending
or Descending
order. The
default is Descending
.
listModelBiasJobDefinitionsResponse_nextToken :: Lens' ListModelBiasJobDefinitionsResponse (Maybe Text) Source #
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of jobs, use it in the subsequent request.
listModelBiasJobDefinitionsResponse_httpStatus :: Lens' ListModelBiasJobDefinitionsResponse Int Source #
The response's http status code.
listModelBiasJobDefinitionsResponse_jobDefinitionSummaries :: Lens' ListModelBiasJobDefinitionsResponse [MonitoringJobDefinitionSummary] Source #
A JSON array in which each element is a summary for a model bias jobs.
ListModelCardExportJobs
listModelCardExportJobs_creationTimeAfter :: Lens' ListModelCardExportJobs (Maybe UTCTime) Source #
Only list model card export jobs that were created after the time specified.
listModelCardExportJobs_creationTimeBefore :: Lens' ListModelCardExportJobs (Maybe UTCTime) Source #
Only list model card export jobs that were created before the time specified.
listModelCardExportJobs_maxResults :: Lens' ListModelCardExportJobs (Maybe Natural) Source #
The maximum number of model card export jobs to list.
listModelCardExportJobs_modelCardExportJobNameContains :: Lens' ListModelCardExportJobs (Maybe Text) Source #
Only list model card export jobs with names that contain the specified string.
listModelCardExportJobs_modelCardVersion :: Lens' ListModelCardExportJobs (Maybe Int) Source #
List export jobs for the model card with the specified version.
listModelCardExportJobs_nextToken :: Lens' ListModelCardExportJobs (Maybe Text) Source #
If the response to a previous ListModelCardExportJobs
request was
truncated, the response includes a NextToken
. To retrieve the next set
of model card export jobs, use the token in the next request.
listModelCardExportJobs_sortBy :: Lens' ListModelCardExportJobs (Maybe ModelCardExportJobSortBy) Source #
Sort model card export jobs by either name or creation time. Sorts by creation time by default.
listModelCardExportJobs_sortOrder :: Lens' ListModelCardExportJobs (Maybe ModelCardExportJobSortOrder) Source #
Sort model card export jobs by ascending or descending order.
listModelCardExportJobs_statusEquals :: Lens' ListModelCardExportJobs (Maybe ModelCardExportJobStatus) Source #
Only list model card export jobs with the specified status.
listModelCardExportJobs_modelCardName :: Lens' ListModelCardExportJobs Text Source #
List export jobs for the model card with the specified name.
listModelCardExportJobsResponse_nextToken :: Lens' ListModelCardExportJobsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of model card export jobs, use it in the subsequent request.
listModelCardExportJobsResponse_httpStatus :: Lens' ListModelCardExportJobsResponse Int Source #
The response's http status code.
listModelCardExportJobsResponse_modelCardExportJobSummaries :: Lens' ListModelCardExportJobsResponse [ModelCardExportJobSummary] Source #
The summaries of the listed model card export jobs.
ListModelCardVersions
listModelCardVersions_creationTimeAfter :: Lens' ListModelCardVersions (Maybe UTCTime) Source #
Only list model card versions that were created after the time specified.
listModelCardVersions_creationTimeBefore :: Lens' ListModelCardVersions (Maybe UTCTime) Source #
Only list model card versions that were created before the time specified.
listModelCardVersions_maxResults :: Lens' ListModelCardVersions (Maybe Natural) Source #
The maximum number of model card versions to list.
listModelCardVersions_modelCardStatus :: Lens' ListModelCardVersions (Maybe ModelCardStatus) Source #
Only list model card versions with the specified approval status.
listModelCardVersions_nextToken :: Lens' ListModelCardVersions (Maybe Text) Source #
If the response to a previous ListModelCardVersions
request was
truncated, the response includes a NextToken
. To retrieve the next set
of model card versions, use the token in the next request.
listModelCardVersions_sortBy :: Lens' ListModelCardVersions (Maybe ModelCardVersionSortBy) Source #
Sort listed model card versions by version. Sorts by version by default.
listModelCardVersions_sortOrder :: Lens' ListModelCardVersions (Maybe ModelCardSortOrder) Source #
Sort model card versions by ascending or descending order.
listModelCardVersions_modelCardName :: Lens' ListModelCardVersions Text Source #
List model card versions for the model card with the specified name.
listModelCardVersionsResponse_nextToken :: Lens' ListModelCardVersionsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of model card versions, use it in the subsequent request.
listModelCardVersionsResponse_httpStatus :: Lens' ListModelCardVersionsResponse Int Source #
The response's http status code.
listModelCardVersionsResponse_modelCardVersionSummaryList :: Lens' ListModelCardVersionsResponse [ModelCardVersionSummary] Source #
The summaries of the listed versions of the model card.
ListModelCards
listModelCards_creationTimeAfter :: Lens' ListModelCards (Maybe UTCTime) Source #
Only list model cards that were created after the time specified.
listModelCards_creationTimeBefore :: Lens' ListModelCards (Maybe UTCTime) Source #
Only list model cards that were created before the time specified.
listModelCards_maxResults :: Lens' ListModelCards (Maybe Natural) Source #
The maximum number of model cards to list.
listModelCards_modelCardStatus :: Lens' ListModelCards (Maybe ModelCardStatus) Source #
Only list model cards with the specified approval status.
listModelCards_nameContains :: Lens' ListModelCards (Maybe Text) Source #
Only list model cards with names that contain the specified string.
listModelCards_nextToken :: Lens' ListModelCards (Maybe Text) Source #
If the response to a previous ListModelCards
request was truncated,
the response includes a NextToken
. To retrieve the next set of model
cards, use the token in the next request.
listModelCards_sortBy :: Lens' ListModelCards (Maybe ModelCardSortBy) Source #
Sort model cards by either name or creation time. Sorts by creation time by default.
listModelCards_sortOrder :: Lens' ListModelCards (Maybe ModelCardSortOrder) Source #
Sort model cards by ascending or descending order.
listModelCardsResponse_nextToken :: Lens' ListModelCardsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of model cards, use it in the subsequent request.
listModelCardsResponse_httpStatus :: Lens' ListModelCardsResponse Int Source #
The response's http status code.
listModelCardsResponse_modelCardSummaries :: Lens' ListModelCardsResponse [ModelCardSummary] Source #
The summaries of the listed model cards.
ListModelExplainabilityJobDefinitions
listModelExplainabilityJobDefinitions_creationTimeAfter :: Lens' ListModelExplainabilityJobDefinitions (Maybe UTCTime) Source #
A filter that returns only model explainability jobs created after a specified time.
listModelExplainabilityJobDefinitions_creationTimeBefore :: Lens' ListModelExplainabilityJobDefinitions (Maybe UTCTime) Source #
A filter that returns only model explainability jobs created before a specified time.
listModelExplainabilityJobDefinitions_endpointName :: Lens' ListModelExplainabilityJobDefinitions (Maybe Text) Source #
Name of the endpoint to monitor for model explainability.
listModelExplainabilityJobDefinitions_maxResults :: Lens' ListModelExplainabilityJobDefinitions (Maybe Natural) Source #
The maximum number of jobs to return in the response. The default value is 10.
listModelExplainabilityJobDefinitions_nameContains :: Lens' ListModelExplainabilityJobDefinitions (Maybe Text) Source #
Filter for model explainability jobs whose name contains a specified string.
listModelExplainabilityJobDefinitions_nextToken :: Lens' ListModelExplainabilityJobDefinitions (Maybe Text) Source #
The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
listModelExplainabilityJobDefinitions_sortBy :: Lens' ListModelExplainabilityJobDefinitions (Maybe MonitoringJobDefinitionSortKey) Source #
Whether to sort results by the Name
or CreationTime
field. The
default is CreationTime
.
listModelExplainabilityJobDefinitions_sortOrder :: Lens' ListModelExplainabilityJobDefinitions (Maybe SortOrder) Source #
Whether to sort the results in Ascending
or Descending
order. The
default is Descending
.
listModelExplainabilityJobDefinitionsResponse_nextToken :: Lens' ListModelExplainabilityJobDefinitionsResponse (Maybe Text) Source #
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of jobs, use it in the subsequent request.
listModelExplainabilityJobDefinitionsResponse_httpStatus :: Lens' ListModelExplainabilityJobDefinitionsResponse Int Source #
The response's http status code.
listModelExplainabilityJobDefinitionsResponse_jobDefinitionSummaries :: Lens' ListModelExplainabilityJobDefinitionsResponse [MonitoringJobDefinitionSummary] Source #
A JSON array in which each element is a summary for a explainability bias jobs.
ListModelMetadata
listModelMetadata_maxResults :: Lens' ListModelMetadata (Maybe Natural) Source #
The maximum number of models to return in the response.
listModelMetadata_nextToken :: Lens' ListModelMetadata (Maybe Text) Source #
If the response to a previous ListModelMetadataResponse
request was
truncated, the response includes a NextToken. To retrieve the next set
of model metadata, use the token in the next request.
listModelMetadata_searchExpression :: Lens' ListModelMetadata (Maybe ModelMetadataSearchExpression) Source #
One or more filters that searches for the specified resource or resources in a search. All resource objects that satisfy the expression's condition are included in the search results. Specify the Framework, FrameworkVersion, Domain or Task to filter supported. Filter names and values are case-sensitive.
listModelMetadataResponse_nextToken :: Lens' ListModelMetadataResponse (Maybe Text) Source #
A token for getting the next set of recommendations, if there are any.
listModelMetadataResponse_httpStatus :: Lens' ListModelMetadataResponse Int Source #
The response's http status code.
listModelMetadataResponse_modelMetadataSummaries :: Lens' ListModelMetadataResponse [ModelMetadataSummary] Source #
A structure that holds model metadata.
ListModelPackageGroups
listModelPackageGroups_creationTimeAfter :: Lens' ListModelPackageGroups (Maybe UTCTime) Source #
A filter that returns only model groups created after the specified time.
listModelPackageGroups_creationTimeBefore :: Lens' ListModelPackageGroups (Maybe UTCTime) Source #
A filter that returns only model groups created before the specified time.
listModelPackageGroups_maxResults :: Lens' ListModelPackageGroups (Maybe Natural) Source #
The maximum number of results to return in the response.
listModelPackageGroups_nameContains :: Lens' ListModelPackageGroups (Maybe Text) Source #
A string in the model group name. This filter returns only model groups whose name contains the specified string.
listModelPackageGroups_nextToken :: Lens' ListModelPackageGroups (Maybe Text) Source #
If the result of the previous ListModelPackageGroups
request was
truncated, the response includes a NextToken
. To retrieve the next set
of model groups, use the token in the next request.
listModelPackageGroups_sortBy :: Lens' ListModelPackageGroups (Maybe ModelPackageGroupSortBy) Source #
The field to sort results by. The default is CreationTime
.
listModelPackageGroups_sortOrder :: Lens' ListModelPackageGroups (Maybe SortOrder) Source #
The sort order for results. The default is Ascending
.
listModelPackageGroupsResponse_nextToken :: Lens' ListModelPackageGroupsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of model groups, use it in the subsequent request.
listModelPackageGroupsResponse_httpStatus :: Lens' ListModelPackageGroupsResponse Int Source #
The response's http status code.
listModelPackageGroupsResponse_modelPackageGroupSummaryList :: Lens' ListModelPackageGroupsResponse [ModelPackageGroupSummary] Source #
A list of summaries of the model groups in your Amazon Web Services account.
ListModelPackages
listModelPackages_creationTimeAfter :: Lens' ListModelPackages (Maybe UTCTime) Source #
A filter that returns only model packages created after the specified time (timestamp).
listModelPackages_creationTimeBefore :: Lens' ListModelPackages (Maybe UTCTime) Source #
A filter that returns only model packages created before the specified time (timestamp).
listModelPackages_maxResults :: Lens' ListModelPackages (Maybe Natural) Source #
The maximum number of model packages to return in the response.
listModelPackages_modelApprovalStatus :: Lens' ListModelPackages (Maybe ModelApprovalStatus) Source #
A filter that returns only the model packages with the specified approval status.
listModelPackages_modelPackageGroupName :: Lens' ListModelPackages (Maybe Text) Source #
A filter that returns only model versions that belong to the specified model group.
listModelPackages_modelPackageType :: Lens' ListModelPackages (Maybe ModelPackageType) Source #
A filter that returns only the model packages of the specified type. This can be one of the following values.
UNVERSIONED
- List only unversioined models. This is the default value if noModelPackageType
is specified.VERSIONED
- List only versioned models.BOTH
- List both versioned and unversioned models.
listModelPackages_nameContains :: Lens' ListModelPackages (Maybe Text) Source #
A string in the model package name. This filter returns only model packages whose name contains the specified string.
listModelPackages_nextToken :: Lens' ListModelPackages (Maybe Text) Source #
If the response to a previous ListModelPackages
request was truncated,
the response includes a NextToken
. To retrieve the next set of model
packages, use the token in the next request.
listModelPackages_sortBy :: Lens' ListModelPackages (Maybe ModelPackageSortBy) Source #
The parameter by which to sort the results. The default is
CreationTime
.
listModelPackages_sortOrder :: Lens' ListModelPackages (Maybe SortOrder) Source #
The sort order for the results. The default is Ascending
.
listModelPackagesResponse_nextToken :: Lens' ListModelPackagesResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of model packages, use it in the subsequent request.
listModelPackagesResponse_httpStatus :: Lens' ListModelPackagesResponse Int Source #
The response's http status code.
listModelPackagesResponse_modelPackageSummaryList :: Lens' ListModelPackagesResponse [ModelPackageSummary] Source #
An array of ModelPackageSummary
objects, each of which lists a model
package.
ListModelQualityJobDefinitions
listModelQualityJobDefinitions_creationTimeAfter :: Lens' ListModelQualityJobDefinitions (Maybe UTCTime) Source #
A filter that returns only model quality monitoring job definitions created after the specified time.
listModelQualityJobDefinitions_creationTimeBefore :: Lens' ListModelQualityJobDefinitions (Maybe UTCTime) Source #
A filter that returns only model quality monitoring job definitions created before the specified time.
listModelQualityJobDefinitions_endpointName :: Lens' ListModelQualityJobDefinitions (Maybe Text) Source #
A filter that returns only model quality monitoring job definitions that are associated with the specified endpoint.
listModelQualityJobDefinitions_maxResults :: Lens' ListModelQualityJobDefinitions (Maybe Natural) Source #
The maximum number of results to return in a call to
ListModelQualityJobDefinitions
.
listModelQualityJobDefinitions_nameContains :: Lens' ListModelQualityJobDefinitions (Maybe Text) Source #
A string in the transform job name. This filter returns only model quality monitoring job definitions whose name contains the specified string.
listModelQualityJobDefinitions_nextToken :: Lens' ListModelQualityJobDefinitions (Maybe Text) Source #
If the result of the previous ListModelQualityJobDefinitions
request
was truncated, the response includes a NextToken
. To retrieve the next
set of model quality monitoring job definitions, use the token in the
next request.
listModelQualityJobDefinitions_sortBy :: Lens' ListModelQualityJobDefinitions (Maybe MonitoringJobDefinitionSortKey) Source #
The field to sort results by. The default is CreationTime
.
listModelQualityJobDefinitions_sortOrder :: Lens' ListModelQualityJobDefinitions (Maybe SortOrder) Source #
The sort order for results. The default is Descending
.
listModelQualityJobDefinitionsResponse_nextToken :: Lens' ListModelQualityJobDefinitionsResponse (Maybe Text) Source #
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of model quality monitoring job definitions, use it in the next request.
listModelQualityJobDefinitionsResponse_httpStatus :: Lens' ListModelQualityJobDefinitionsResponse Int Source #
The response's http status code.
listModelQualityJobDefinitionsResponse_jobDefinitionSummaries :: Lens' ListModelQualityJobDefinitionsResponse [MonitoringJobDefinitionSummary] Source #
A list of summaries of model quality monitoring job definitions.
ListModels
listModels_creationTimeAfter :: Lens' ListModels (Maybe UTCTime) Source #
A filter that returns only models with a creation time greater than or equal to the specified time (timestamp).
listModels_creationTimeBefore :: Lens' ListModels (Maybe UTCTime) Source #
A filter that returns only models created before the specified time (timestamp).
listModels_maxResults :: Lens' ListModels (Maybe Natural) Source #
The maximum number of models to return in the response.
listModels_nameContains :: Lens' ListModels (Maybe Text) Source #
A string in the model name. This filter returns only models whose name contains the specified string.
listModels_nextToken :: Lens' ListModels (Maybe Text) Source #
If the response to a previous ListModels
request was truncated, the
response includes a NextToken
. To retrieve the next set of models, use
the token in the next request.
listModels_sortBy :: Lens' ListModels (Maybe ModelSortKey) Source #
Sorts the list of results. The default is CreationTime
.
listModels_sortOrder :: Lens' ListModels (Maybe OrderKey) Source #
The sort order for results. The default is Descending
.
listModelsResponse_nextToken :: Lens' ListModelsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of models, use it in the subsequent request.
listModelsResponse_httpStatus :: Lens' ListModelsResponse Int Source #
The response's http status code.
listModelsResponse_models :: Lens' ListModelsResponse [ModelSummary] Source #
An array of ModelSummary
objects, each of which lists a model.
ListMonitoringAlertHistory
listMonitoringAlertHistory_creationTimeAfter :: Lens' ListMonitoringAlertHistory (Maybe UTCTime) Source #
A filter that returns only alerts created on or after the specified time.
listMonitoringAlertHistory_creationTimeBefore :: Lens' ListMonitoringAlertHistory (Maybe UTCTime) Source #
A filter that returns only alerts created on or before the specified time.
listMonitoringAlertHistory_maxResults :: Lens' ListMonitoringAlertHistory (Maybe Natural) Source #
The maximum number of results to display. The default is 100.
listMonitoringAlertHistory_monitoringAlertName :: Lens' ListMonitoringAlertHistory (Maybe Text) Source #
The name of a monitoring alert.
listMonitoringAlertHistory_monitoringScheduleName :: Lens' ListMonitoringAlertHistory (Maybe Text) Source #
The name of a monitoring schedule.
listMonitoringAlertHistory_nextToken :: Lens' ListMonitoringAlertHistory (Maybe Text) Source #
If the result of the previous ListMonitoringAlertHistory
request was
truncated, the response includes a NextToken
. To retrieve the next set
of alerts in the history, use the token in the next request.
listMonitoringAlertHistory_sortBy :: Lens' ListMonitoringAlertHistory (Maybe MonitoringAlertHistorySortKey) Source #
The field used to sort results. The default is CreationTime
.
listMonitoringAlertHistory_sortOrder :: Lens' ListMonitoringAlertHistory (Maybe SortOrder) Source #
The sort order, whether Ascending
or Descending
, of the alert
history. The default is Descending
.
listMonitoringAlertHistory_statusEquals :: Lens' ListMonitoringAlertHistory (Maybe MonitoringAlertStatus) Source #
A filter that retrieves only alerts with a specific status.
listMonitoringAlertHistoryResponse_monitoringAlertHistory :: Lens' ListMonitoringAlertHistoryResponse (Maybe [MonitoringAlertHistorySummary]) Source #
An alert history for a model monitoring schedule.
listMonitoringAlertHistoryResponse_nextToken :: Lens' ListMonitoringAlertHistoryResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of alerts, use it in the subsequent request.
listMonitoringAlertHistoryResponse_httpStatus :: Lens' ListMonitoringAlertHistoryResponse Int Source #
The response's http status code.
ListMonitoringAlerts
listMonitoringAlerts_maxResults :: Lens' ListMonitoringAlerts (Maybe Natural) Source #
The maximum number of results to display. The default is 100.
listMonitoringAlerts_nextToken :: Lens' ListMonitoringAlerts (Maybe Text) Source #
If the result of the previous ListMonitoringAlerts
request was
truncated, the response includes a NextToken
. To retrieve the next set
of alerts in the history, use the token in the next request.
listMonitoringAlerts_monitoringScheduleName :: Lens' ListMonitoringAlerts Text Source #
The name of a monitoring schedule.
listMonitoringAlertsResponse_monitoringAlertSummaries :: Lens' ListMonitoringAlertsResponse (Maybe (NonEmpty MonitoringAlertSummary)) Source #
A JSON array where each element is a summary for a monitoring alert.
listMonitoringAlertsResponse_nextToken :: Lens' ListMonitoringAlertsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of alerts, use it in the subsequent request.
listMonitoringAlertsResponse_httpStatus :: Lens' ListMonitoringAlertsResponse Int Source #
The response's http status code.
ListMonitoringExecutions
listMonitoringExecutions_creationTimeAfter :: Lens' ListMonitoringExecutions (Maybe UTCTime) Source #
A filter that returns only jobs created after a specified time.
listMonitoringExecutions_creationTimeBefore :: Lens' ListMonitoringExecutions (Maybe UTCTime) Source #
A filter that returns only jobs created before a specified time.
listMonitoringExecutions_endpointName :: Lens' ListMonitoringExecutions (Maybe Text) Source #
Name of a specific endpoint to fetch jobs for.
listMonitoringExecutions_lastModifiedTimeAfter :: Lens' ListMonitoringExecutions (Maybe UTCTime) Source #
A filter that returns only jobs modified before a specified time.
listMonitoringExecutions_lastModifiedTimeBefore :: Lens' ListMonitoringExecutions (Maybe UTCTime) Source #
A filter that returns only jobs modified after a specified time.
listMonitoringExecutions_maxResults :: Lens' ListMonitoringExecutions (Maybe Natural) Source #
The maximum number of jobs to return in the response. The default value is 10.
listMonitoringExecutions_monitoringJobDefinitionName :: Lens' ListMonitoringExecutions (Maybe Text) Source #
Gets a list of the monitoring job runs of the specified monitoring job definitions.
listMonitoringExecutions_monitoringScheduleName :: Lens' ListMonitoringExecutions (Maybe Text) Source #
Name of a specific schedule to fetch jobs for.
listMonitoringExecutions_monitoringTypeEquals :: Lens' ListMonitoringExecutions (Maybe MonitoringType) Source #
A filter that returns only the monitoring job runs of the specified monitoring type.
listMonitoringExecutions_nextToken :: Lens' ListMonitoringExecutions (Maybe Text) Source #
The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
listMonitoringExecutions_scheduledTimeAfter :: Lens' ListMonitoringExecutions (Maybe UTCTime) Source #
Filter for jobs scheduled after a specified time.
listMonitoringExecutions_scheduledTimeBefore :: Lens' ListMonitoringExecutions (Maybe UTCTime) Source #
Filter for jobs scheduled before a specified time.
listMonitoringExecutions_sortBy :: Lens' ListMonitoringExecutions (Maybe MonitoringExecutionSortKey) Source #
Whether to sort results by Status
, CreationTime
, ScheduledTime
field. The default is CreationTime
.
listMonitoringExecutions_sortOrder :: Lens' ListMonitoringExecutions (Maybe SortOrder) Source #
Whether to sort the results in Ascending
or Descending
order. The
default is Descending
.
listMonitoringExecutions_statusEquals :: Lens' ListMonitoringExecutions (Maybe ExecutionStatus) Source #
A filter that retrieves only jobs with a specific status.
listMonitoringExecutionsResponse_nextToken :: Lens' ListMonitoringExecutionsResponse (Maybe Text) Source #
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of jobs, use it in the subsequent reques
listMonitoringExecutionsResponse_httpStatus :: Lens' ListMonitoringExecutionsResponse Int Source #
The response's http status code.
listMonitoringExecutionsResponse_monitoringExecutionSummaries :: Lens' ListMonitoringExecutionsResponse [MonitoringExecutionSummary] Source #
A JSON array in which each element is a summary for a monitoring execution.
ListMonitoringSchedules
listMonitoringSchedules_creationTimeAfter :: Lens' ListMonitoringSchedules (Maybe UTCTime) Source #
A filter that returns only monitoring schedules created after a specified time.
listMonitoringSchedules_creationTimeBefore :: Lens' ListMonitoringSchedules (Maybe UTCTime) Source #
A filter that returns only monitoring schedules created before a specified time.
listMonitoringSchedules_endpointName :: Lens' ListMonitoringSchedules (Maybe Text) Source #
Name of a specific endpoint to fetch schedules for.
listMonitoringSchedules_lastModifiedTimeAfter :: Lens' ListMonitoringSchedules (Maybe UTCTime) Source #
A filter that returns only monitoring schedules modified after a specified time.
listMonitoringSchedules_lastModifiedTimeBefore :: Lens' ListMonitoringSchedules (Maybe UTCTime) Source #
A filter that returns only monitoring schedules modified before a specified time.
listMonitoringSchedules_maxResults :: Lens' ListMonitoringSchedules (Maybe Natural) Source #
The maximum number of jobs to return in the response. The default value is 10.
listMonitoringSchedules_monitoringJobDefinitionName :: Lens' ListMonitoringSchedules (Maybe Text) Source #
Gets a list of the monitoring schedules for the specified monitoring job definition.
listMonitoringSchedules_monitoringTypeEquals :: Lens' ListMonitoringSchedules (Maybe MonitoringType) Source #
A filter that returns only the monitoring schedules for the specified monitoring type.
listMonitoringSchedules_nameContains :: Lens' ListMonitoringSchedules (Maybe Text) Source #
Filter for monitoring schedules whose name contains a specified string.
listMonitoringSchedules_nextToken :: Lens' ListMonitoringSchedules (Maybe Text) Source #
The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
listMonitoringSchedules_sortBy :: Lens' ListMonitoringSchedules (Maybe MonitoringScheduleSortKey) Source #
Whether to sort results by Status
, CreationTime
, ScheduledTime
field. The default is CreationTime
.
listMonitoringSchedules_sortOrder :: Lens' ListMonitoringSchedules (Maybe SortOrder) Source #
Whether to sort the results in Ascending
or Descending
order. The
default is Descending
.
listMonitoringSchedules_statusEquals :: Lens' ListMonitoringSchedules (Maybe ScheduleStatus) Source #
A filter that returns only monitoring schedules modified before a specified time.
listMonitoringSchedulesResponse_nextToken :: Lens' ListMonitoringSchedulesResponse (Maybe Text) Source #
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of jobs, use it in the subsequent request.
listMonitoringSchedulesResponse_httpStatus :: Lens' ListMonitoringSchedulesResponse Int Source #
The response's http status code.
listMonitoringSchedulesResponse_monitoringScheduleSummaries :: Lens' ListMonitoringSchedulesResponse [MonitoringScheduleSummary] Source #
A JSON array in which each element is a summary for a monitoring schedule.
ListNotebookInstanceLifecycleConfigs
listNotebookInstanceLifecycleConfigs_creationTimeAfter :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe UTCTime) Source #
A filter that returns only lifecycle configurations that were created after the specified time (timestamp).
listNotebookInstanceLifecycleConfigs_creationTimeBefore :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe UTCTime) Source #
A filter that returns only lifecycle configurations that were created before the specified time (timestamp).
listNotebookInstanceLifecycleConfigs_lastModifiedTimeAfter :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe UTCTime) Source #
A filter that returns only lifecycle configurations that were modified after the specified time (timestamp).
listNotebookInstanceLifecycleConfigs_lastModifiedTimeBefore :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe UTCTime) Source #
A filter that returns only lifecycle configurations that were modified before the specified time (timestamp).
listNotebookInstanceLifecycleConfigs_maxResults :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe Natural) Source #
The maximum number of lifecycle configurations to return in the response.
listNotebookInstanceLifecycleConfigs_nameContains :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe Text) Source #
A string in the lifecycle configuration name. This filter returns only lifecycle configurations whose name contains the specified string.
listNotebookInstanceLifecycleConfigs_nextToken :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe Text) Source #
If the result of a ListNotebookInstanceLifecycleConfigs
request was
truncated, the response includes a NextToken
. To get the next set of
lifecycle configurations, use the token in the next request.
listNotebookInstanceLifecycleConfigs_sortBy :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe NotebookInstanceLifecycleConfigSortKey) Source #
Sorts the list of results. The default is CreationTime
.
listNotebookInstanceLifecycleConfigs_sortOrder :: Lens' ListNotebookInstanceLifecycleConfigs (Maybe NotebookInstanceLifecycleConfigSortOrder) Source #
The sort order for results.
listNotebookInstanceLifecycleConfigsResponse_nextToken :: Lens' ListNotebookInstanceLifecycleConfigsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To get the next set of lifecycle configurations, use it in the next request.
listNotebookInstanceLifecycleConfigsResponse_notebookInstanceLifecycleConfigs :: Lens' ListNotebookInstanceLifecycleConfigsResponse (Maybe [NotebookInstanceLifecycleConfigSummary]) Source #
An array of NotebookInstanceLifecycleConfiguration
objects, each
listing a lifecycle configuration.
listNotebookInstanceLifecycleConfigsResponse_httpStatus :: Lens' ListNotebookInstanceLifecycleConfigsResponse Int Source #
The response's http status code.
ListNotebookInstances
listNotebookInstances_additionalCodeRepositoryEquals :: Lens' ListNotebookInstances (Maybe Text) Source #
A filter that returns only notebook instances with associated with the specified git repository.
listNotebookInstances_creationTimeAfter :: Lens' ListNotebookInstances (Maybe UTCTime) Source #
A filter that returns only notebook instances that were created after the specified time (timestamp).
listNotebookInstances_creationTimeBefore :: Lens' ListNotebookInstances (Maybe UTCTime) Source #
A filter that returns only notebook instances that were created before the specified time (timestamp).
listNotebookInstances_defaultCodeRepositoryContains :: Lens' ListNotebookInstances (Maybe Text) Source #
A string in the name or URL of a Git repository associated with this notebook instance. This filter returns only notebook instances associated with a git repository with a name that contains the specified string.
listNotebookInstances_lastModifiedTimeAfter :: Lens' ListNotebookInstances (Maybe UTCTime) Source #
A filter that returns only notebook instances that were modified after the specified time (timestamp).
listNotebookInstances_lastModifiedTimeBefore :: Lens' ListNotebookInstances (Maybe UTCTime) Source #
A filter that returns only notebook instances that were modified before the specified time (timestamp).
listNotebookInstances_maxResults :: Lens' ListNotebookInstances (Maybe Natural) Source #
The maximum number of notebook instances to return.
listNotebookInstances_nameContains :: Lens' ListNotebookInstances (Maybe Text) Source #
A string in the notebook instances' name. This filter returns only notebook instances whose name contains the specified string.
listNotebookInstances_nextToken :: Lens' ListNotebookInstances (Maybe Text) Source #
If the previous call to the ListNotebookInstances
is truncated, the
response includes a NextToken
. You can use this token in your
subsequent ListNotebookInstances
request to fetch the next set of
notebook instances.
You might specify a filter or a sort order in your request. When response is truncated, you must use the same values for the filer and sort order in the next request.
listNotebookInstances_notebookInstanceLifecycleConfigNameContains :: Lens' ListNotebookInstances (Maybe Text) Source #
A string in the name of a notebook instances lifecycle configuration associated with this notebook instance. This filter returns only notebook instances associated with a lifecycle configuration with a name that contains the specified string.
listNotebookInstances_sortBy :: Lens' ListNotebookInstances (Maybe NotebookInstanceSortKey) Source #
The field to sort results by. The default is Name
.
listNotebookInstances_sortOrder :: Lens' ListNotebookInstances (Maybe NotebookInstanceSortOrder) Source #
The sort order for results.
listNotebookInstances_statusEquals :: Lens' ListNotebookInstances (Maybe NotebookInstanceStatus) Source #
A filter that returns only notebook instances with the specified status.
listNotebookInstancesResponse_nextToken :: Lens' ListNotebookInstancesResponse (Maybe Text) Source #
If the response to the previous ListNotebookInstances
request was
truncated, SageMaker returns this token. To retrieve the next set of
notebook instances, use the token in the next request.
listNotebookInstancesResponse_notebookInstances :: Lens' ListNotebookInstancesResponse (Maybe [NotebookInstanceSummary]) Source #
An array of NotebookInstanceSummary
objects, one for each notebook
instance.
listNotebookInstancesResponse_httpStatus :: Lens' ListNotebookInstancesResponse Int Source #
The response's http status code.
ListPipelineExecutionSteps
listPipelineExecutionSteps_maxResults :: Lens' ListPipelineExecutionSteps (Maybe Natural) Source #
The maximum number of pipeline execution steps to return in the response.
listPipelineExecutionSteps_nextToken :: Lens' ListPipelineExecutionSteps (Maybe Text) Source #
If the result of the previous ListPipelineExecutionSteps
request was
truncated, the response includes a NextToken
. To retrieve the next set
of pipeline execution steps, use the token in the next request.
listPipelineExecutionSteps_pipelineExecutionArn :: Lens' ListPipelineExecutionSteps (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline execution.
listPipelineExecutionSteps_sortOrder :: Lens' ListPipelineExecutionSteps (Maybe SortOrder) Source #
The field by which to sort results. The default is CreatedTime
.
listPipelineExecutionStepsResponse_nextToken :: Lens' ListPipelineExecutionStepsResponse (Maybe Text) Source #
If the result of the previous ListPipelineExecutionSteps
request was
truncated, the response includes a NextToken
. To retrieve the next set
of pipeline execution steps, use the token in the next request.
listPipelineExecutionStepsResponse_pipelineExecutionSteps :: Lens' ListPipelineExecutionStepsResponse (Maybe [PipelineExecutionStep]) Source #
A list of PipeLineExecutionStep
objects. Each PipeLineExecutionStep
consists of StepName, StartTime, EndTime, StepStatus, and Metadata.
Metadata is an object with properties for each job that contains
relevant information about the job created by the step.
listPipelineExecutionStepsResponse_httpStatus :: Lens' ListPipelineExecutionStepsResponse Int Source #
The response's http status code.
ListPipelineExecutions
listPipelineExecutions_createdAfter :: Lens' ListPipelineExecutions (Maybe UTCTime) Source #
A filter that returns the pipeline executions that were created after a specified time.
listPipelineExecutions_createdBefore :: Lens' ListPipelineExecutions (Maybe UTCTime) Source #
A filter that returns the pipeline executions that were created before a specified time.
listPipelineExecutions_maxResults :: Lens' ListPipelineExecutions (Maybe Natural) Source #
The maximum number of pipeline executions to return in the response.
listPipelineExecutions_nextToken :: Lens' ListPipelineExecutions (Maybe Text) Source #
If the result of the previous ListPipelineExecutions
request was
truncated, the response includes a NextToken
. To retrieve the next set
of pipeline executions, use the token in the next request.
listPipelineExecutions_sortBy :: Lens' ListPipelineExecutions (Maybe SortPipelineExecutionsBy) Source #
The field by which to sort results. The default is CreatedTime
.
listPipelineExecutions_sortOrder :: Lens' ListPipelineExecutions (Maybe SortOrder) Source #
The sort order for results.
listPipelineExecutions_pipelineName :: Lens' ListPipelineExecutions Text Source #
The name of the pipeline.
listPipelineExecutionsResponse_nextToken :: Lens' ListPipelineExecutionsResponse (Maybe Text) Source #
If the result of the previous ListPipelineExecutions
request was
truncated, the response includes a NextToken
. To retrieve the next set
of pipeline executions, use the token in the next request.
listPipelineExecutionsResponse_pipelineExecutionSummaries :: Lens' ListPipelineExecutionsResponse (Maybe [PipelineExecutionSummary]) Source #
Contains a sorted list of pipeline execution summary objects matching the specified filters. Each run summary includes the Amazon Resource Name (ARN) of the pipeline execution, the run date, and the status. This list can be empty.
listPipelineExecutionsResponse_httpStatus :: Lens' ListPipelineExecutionsResponse Int Source #
The response's http status code.
ListPipelineParametersForExecution
listPipelineParametersForExecution_maxResults :: Lens' ListPipelineParametersForExecution (Maybe Natural) Source #
The maximum number of parameters to return in the response.
listPipelineParametersForExecution_nextToken :: Lens' ListPipelineParametersForExecution (Maybe Text) Source #
If the result of the previous ListPipelineParametersForExecution
request was truncated, the response includes a NextToken
. To retrieve
the next set of parameters, use the token in the next request.
listPipelineParametersForExecution_pipelineExecutionArn :: Lens' ListPipelineParametersForExecution Text Source #
The Amazon Resource Name (ARN) of the pipeline execution.
listPipelineParametersForExecutionResponse_nextToken :: Lens' ListPipelineParametersForExecutionResponse (Maybe Text) Source #
If the result of the previous ListPipelineParametersForExecution
request was truncated, the response includes a NextToken
. To retrieve
the next set of parameters, use the token in the next request.
listPipelineParametersForExecutionResponse_pipelineParameters :: Lens' ListPipelineParametersForExecutionResponse (Maybe [Parameter]) Source #
Contains a list of pipeline parameters. This list can be empty.
listPipelineParametersForExecutionResponse_httpStatus :: Lens' ListPipelineParametersForExecutionResponse Int Source #
The response's http status code.
ListPipelines
listPipelines_createdAfter :: Lens' ListPipelines (Maybe UTCTime) Source #
A filter that returns the pipelines that were created after a specified time.
listPipelines_createdBefore :: Lens' ListPipelines (Maybe UTCTime) Source #
A filter that returns the pipelines that were created before a specified time.
listPipelines_maxResults :: Lens' ListPipelines (Maybe Natural) Source #
The maximum number of pipelines to return in the response.
listPipelines_nextToken :: Lens' ListPipelines (Maybe Text) Source #
If the result of the previous ListPipelines
request was truncated, the
response includes a NextToken
. To retrieve the next set of pipelines,
use the token in the next request.
listPipelines_pipelineNamePrefix :: Lens' ListPipelines (Maybe Text) Source #
The prefix of the pipeline name.
listPipelines_sortBy :: Lens' ListPipelines (Maybe SortPipelinesBy) Source #
The field by which to sort results. The default is CreatedTime
.
listPipelines_sortOrder :: Lens' ListPipelines (Maybe SortOrder) Source #
The sort order for results.
listPipelinesResponse_nextToken :: Lens' ListPipelinesResponse (Maybe Text) Source #
If the result of the previous ListPipelines
request was truncated, the
response includes a NextToken
. To retrieve the next set of pipelines,
use the token in the next request.
listPipelinesResponse_pipelineSummaries :: Lens' ListPipelinesResponse (Maybe [PipelineSummary]) Source #
Contains a sorted list of PipelineSummary
objects matching the
specified filters. Each PipelineSummary
consists of PipelineArn,
PipelineName, ExperimentName, PipelineDescription, CreationTime,
LastModifiedTime, LastRunTime, and RoleArn. This list can be empty.
listPipelinesResponse_httpStatus :: Lens' ListPipelinesResponse Int Source #
The response's http status code.
ListProcessingJobs
listProcessingJobs_creationTimeAfter :: Lens' ListProcessingJobs (Maybe UTCTime) Source #
A filter that returns only processing jobs created after the specified time.
listProcessingJobs_creationTimeBefore :: Lens' ListProcessingJobs (Maybe UTCTime) Source #
A filter that returns only processing jobs created after the specified time.
listProcessingJobs_lastModifiedTimeAfter :: Lens' ListProcessingJobs (Maybe UTCTime) Source #
A filter that returns only processing jobs modified after the specified time.
listProcessingJobs_lastModifiedTimeBefore :: Lens' ListProcessingJobs (Maybe UTCTime) Source #
A filter that returns only processing jobs modified before the specified time.
listProcessingJobs_maxResults :: Lens' ListProcessingJobs (Maybe Natural) Source #
The maximum number of processing jobs to return in the response.
listProcessingJobs_nameContains :: Lens' ListProcessingJobs (Maybe Text) Source #
A string in the processing job name. This filter returns only processing jobs whose name contains the specified string.
listProcessingJobs_nextToken :: Lens' ListProcessingJobs (Maybe Text) Source #
If the result of the previous ListProcessingJobs
request was
truncated, the response includes a NextToken
. To retrieve the next set
of processing jobs, use the token in the next request.
listProcessingJobs_sortBy :: Lens' ListProcessingJobs (Maybe SortBy) Source #
The field to sort results by. The default is CreationTime
.
listProcessingJobs_sortOrder :: Lens' ListProcessingJobs (Maybe SortOrder) Source #
The sort order for results. The default is Ascending
.
listProcessingJobs_statusEquals :: Lens' ListProcessingJobs (Maybe ProcessingJobStatus) Source #
A filter that retrieves only processing jobs with a specific status.
listProcessingJobsResponse_nextToken :: Lens' ListProcessingJobsResponse (Maybe Text) Source #
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of processing jobs, use it in the subsequent request.
listProcessingJobsResponse_httpStatus :: Lens' ListProcessingJobsResponse Int Source #
The response's http status code.
listProcessingJobsResponse_processingJobSummaries :: Lens' ListProcessingJobsResponse [ProcessingJobSummary] Source #
An array of ProcessingJobSummary
objects, each listing a processing
job.
ListProjects
listProjects_creationTimeAfter :: Lens' ListProjects (Maybe UTCTime) Source #
A filter that returns the projects that were created after a specified time.
listProjects_creationTimeBefore :: Lens' ListProjects (Maybe UTCTime) Source #
A filter that returns the projects that were created before a specified time.
listProjects_maxResults :: Lens' ListProjects (Maybe Natural) Source #
The maximum number of projects to return in the response.
listProjects_nameContains :: Lens' ListProjects (Maybe Text) Source #
A filter that returns the projects whose name contains a specified string.
listProjects_nextToken :: Lens' ListProjects (Maybe Text) Source #
If the result of the previous ListProjects
request was truncated, the
response includes a NextToken
. To retrieve the next set of projects,
use the token in the next request.
listProjects_sortBy :: Lens' ListProjects (Maybe ProjectSortBy) Source #
The field by which to sort results. The default is CreationTime
.
listProjects_sortOrder :: Lens' ListProjects (Maybe ProjectSortOrder) Source #
The sort order for results. The default is Ascending
.
listProjectsResponse_nextToken :: Lens' ListProjectsResponse (Maybe Text) Source #
If the result of the previous ListCompilationJobs
request was
truncated, the response includes a NextToken
. To retrieve the next set
of model compilation jobs, use the token in the next request.
listProjectsResponse_httpStatus :: Lens' ListProjectsResponse Int Source #
The response's http status code.
listProjectsResponse_projectSummaryList :: Lens' ListProjectsResponse [ProjectSummary] Source #
A list of summaries of projects.
ListSpaces
listSpaces_domainIdEquals :: Lens' ListSpaces (Maybe Text) Source #
A parameter to search for the Domain ID.
listSpaces_maxResults :: Lens' ListSpaces (Maybe Natural) Source #
Returns a list up to a specified limit.
listSpaces_nextToken :: Lens' ListSpaces (Maybe Text) Source #
If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
listSpaces_sortBy :: Lens' ListSpaces (Maybe SpaceSortKey) Source #
The parameter by which to sort the results. The default is
CreationTime
.
listSpaces_sortOrder :: Lens' ListSpaces (Maybe SortOrder) Source #
The sort order for the results. The default is Ascending
.
listSpaces_spaceNameContains :: Lens' ListSpaces (Maybe Text) Source #
A parameter by which to filter the results.
listSpacesResponse_nextToken :: Lens' ListSpacesResponse (Maybe Text) Source #
If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
listSpacesResponse_spaces :: Lens' ListSpacesResponse (Maybe [SpaceDetails]) Source #
The list of spaces.
listSpacesResponse_httpStatus :: Lens' ListSpacesResponse Int Source #
The response's http status code.
ListStageDevices
listStageDevices_excludeDevicesDeployedInOtherStage :: Lens' ListStageDevices (Maybe Bool) Source #
Toggle for excluding devices deployed in other stages.
listStageDevices_maxResults :: Lens' ListStageDevices (Maybe Int) Source #
The maximum number of requests to select.
listStageDevices_nextToken :: Lens' ListStageDevices (Maybe Text) Source #
The response from the last list when returning a list large enough to neeed tokening.
listStageDevices_edgeDeploymentPlanName :: Lens' ListStageDevices Text Source #
The name of the edge deployment plan.
listStageDevices_stageName :: Lens' ListStageDevices Text Source #
The name of the stage in the deployment.
listStageDevicesResponse_nextToken :: Lens' ListStageDevicesResponse (Maybe Text) Source #
The token to use when calling the next page of results.
listStageDevicesResponse_httpStatus :: Lens' ListStageDevicesResponse Int Source #
The response's http status code.
listStageDevicesResponse_deviceDeploymentSummaries :: Lens' ListStageDevicesResponse [DeviceDeploymentSummary] Source #
List of summaries of devices allocated to the stage.
ListStudioLifecycleConfigs
listStudioLifecycleConfigs_appTypeEquals :: Lens' ListStudioLifecycleConfigs (Maybe StudioLifecycleConfigAppType) Source #
A parameter to search for the App Type to which the Lifecycle Configuration is attached.
listStudioLifecycleConfigs_creationTimeAfter :: Lens' ListStudioLifecycleConfigs (Maybe UTCTime) Source #
A filter that returns only Lifecycle Configurations created on or after the specified time.
listStudioLifecycleConfigs_creationTimeBefore :: Lens' ListStudioLifecycleConfigs (Maybe UTCTime) Source #
A filter that returns only Lifecycle Configurations created on or before the specified time.
listStudioLifecycleConfigs_maxResults :: Lens' ListStudioLifecycleConfigs (Maybe Natural) Source #
The maximum number of Studio Lifecycle Configurations to return in the response. The default value is 10.
listStudioLifecycleConfigs_modifiedTimeAfter :: Lens' ListStudioLifecycleConfigs (Maybe UTCTime) Source #
A filter that returns only Lifecycle Configurations modified after the specified time.
listStudioLifecycleConfigs_modifiedTimeBefore :: Lens' ListStudioLifecycleConfigs (Maybe UTCTime) Source #
A filter that returns only Lifecycle Configurations modified before the specified time.
listStudioLifecycleConfigs_nameContains :: Lens' ListStudioLifecycleConfigs (Maybe Text) Source #
A string in the Lifecycle Configuration name. This filter returns only Lifecycle Configurations whose name contains the specified string.
listStudioLifecycleConfigs_nextToken :: Lens' ListStudioLifecycleConfigs (Maybe Text) Source #
If the previous call to ListStudioLifecycleConfigs didn't return the full set of Lifecycle Configurations, the call returns a token for getting the next set of Lifecycle Configurations.
listStudioLifecycleConfigs_sortBy :: Lens' ListStudioLifecycleConfigs (Maybe StudioLifecycleConfigSortKey) Source #
The property used to sort results. The default value is CreationTime.
listStudioLifecycleConfigs_sortOrder :: Lens' ListStudioLifecycleConfigs (Maybe SortOrder) Source #
The sort order. The default value is Descending.
listStudioLifecycleConfigsResponse_nextToken :: Lens' ListStudioLifecycleConfigsResponse (Maybe Text) Source #
A token for getting the next set of actions, if there are any.
listStudioLifecycleConfigsResponse_studioLifecycleConfigs :: Lens' ListStudioLifecycleConfigsResponse (Maybe [StudioLifecycleConfigDetails]) Source #
A list of Lifecycle Configurations and their properties.
listStudioLifecycleConfigsResponse_httpStatus :: Lens' ListStudioLifecycleConfigsResponse Int Source #
The response's http status code.
ListSubscribedWorkteams
listSubscribedWorkteams_maxResults :: Lens' ListSubscribedWorkteams (Maybe Natural) Source #
The maximum number of work teams to return in each page of the response.
listSubscribedWorkteams_nameContains :: Lens' ListSubscribedWorkteams (Maybe Text) Source #
A string in the work team name. This filter returns only work teams whose name contains the specified string.
listSubscribedWorkteams_nextToken :: Lens' ListSubscribedWorkteams (Maybe Text) Source #
If the result of the previous ListSubscribedWorkteams
request was
truncated, the response includes a NextToken
. To retrieve the next set
of labeling jobs, use the token in the next request.
listSubscribedWorkteamsResponse_nextToken :: Lens' ListSubscribedWorkteamsResponse (Maybe Text) Source #
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of work teams, use it in the subsequent request.
listSubscribedWorkteamsResponse_httpStatus :: Lens' ListSubscribedWorkteamsResponse Int Source #
The response's http status code.
listSubscribedWorkteamsResponse_subscribedWorkteams :: Lens' ListSubscribedWorkteamsResponse [SubscribedWorkteam] Source #
An array of Workteam
objects, each describing a work team.
ListTags
listTags_nextToken :: Lens' ListTags (Maybe Text) Source #
If the response to the previous ListTags
request is truncated,
SageMaker returns this token. To retrieve the next set of tags, use it
in the subsequent request.
listTags_resourceArn :: Lens' ListTags Text Source #
The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.
listTagsResponse_nextToken :: Lens' ListTagsResponse (Maybe Text) Source #
If response is truncated, SageMaker includes a token in the response. You can use this token in your subsequent request to fetch next set of tokens.
listTagsResponse_tags :: Lens' ListTagsResponse (Maybe [Tag]) Source #
An array of Tag
objects, each with a tag key and a value.
listTagsResponse_httpStatus :: Lens' ListTagsResponse Int Source #
The response's http status code.
ListTrainingJobs
listTrainingJobs_creationTimeAfter :: Lens' ListTrainingJobs (Maybe UTCTime) Source #
A filter that returns only training jobs created after the specified time (timestamp).
listTrainingJobs_creationTimeBefore :: Lens' ListTrainingJobs (Maybe UTCTime) Source #
A filter that returns only training jobs created before the specified time (timestamp).
listTrainingJobs_lastModifiedTimeAfter :: Lens' ListTrainingJobs (Maybe UTCTime) Source #
A filter that returns only training jobs modified after the specified time (timestamp).
listTrainingJobs_lastModifiedTimeBefore :: Lens' ListTrainingJobs (Maybe UTCTime) Source #
A filter that returns only training jobs modified before the specified time (timestamp).
listTrainingJobs_maxResults :: Lens' ListTrainingJobs (Maybe Natural) Source #
The maximum number of training jobs to return in the response.
listTrainingJobs_nameContains :: Lens' ListTrainingJobs (Maybe Text) Source #
A string in the training job name. This filter returns only training jobs whose name contains the specified string.
listTrainingJobs_nextToken :: Lens' ListTrainingJobs (Maybe Text) Source #
If the result of the previous ListTrainingJobs
request was truncated,
the response includes a NextToken
. To retrieve the next set of
training jobs, use the token in the next request.
listTrainingJobs_sortBy :: Lens' ListTrainingJobs (Maybe SortBy) Source #
The field to sort results by. The default is CreationTime
.
listTrainingJobs_sortOrder :: Lens' ListTrainingJobs (Maybe SortOrder) Source #
The sort order for results. The default is Ascending
.
listTrainingJobs_statusEquals :: Lens' ListTrainingJobs (Maybe TrainingJobStatus) Source #
A filter that retrieves only training jobs with a specific status.
listTrainingJobs_warmPoolStatusEquals :: Lens' ListTrainingJobs (Maybe WarmPoolResourceStatus) Source #
A filter that retrieves only training jobs with a specific warm pool status.
listTrainingJobsResponse_nextToken :: Lens' ListTrainingJobsResponse (Maybe Text) Source #
If the response is truncated, SageMaker returns this token. To retrieve the next set of training jobs, use it in the subsequent request.
listTrainingJobsResponse_httpStatus :: Lens' ListTrainingJobsResponse Int Source #
The response's http status code.
listTrainingJobsResponse_trainingJobSummaries :: Lens' ListTrainingJobsResponse [TrainingJobSummary] Source #
An array of TrainingJobSummary
objects, each listing a training job.
ListTrainingJobsForHyperParameterTuningJob
listTrainingJobsForHyperParameterTuningJob_maxResults :: Lens' ListTrainingJobsForHyperParameterTuningJob (Maybe Natural) Source #
The maximum number of training jobs to return. The default value is 10.
listTrainingJobsForHyperParameterTuningJob_nextToken :: Lens' ListTrainingJobsForHyperParameterTuningJob (Maybe Text) Source #
If the result of the previous
ListTrainingJobsForHyperParameterTuningJob
request was truncated, the
response includes a NextToken
. To retrieve the next set of training
jobs, use the token in the next request.
listTrainingJobsForHyperParameterTuningJob_sortBy :: Lens' ListTrainingJobsForHyperParameterTuningJob (Maybe TrainingJobSortByOptions) Source #
The field to sort results by. The default is Name
.
If the value of this field is FinalObjectiveMetricValue
, any training
jobs that did not return an objective metric are not listed.
listTrainingJobsForHyperParameterTuningJob_sortOrder :: Lens' ListTrainingJobsForHyperParameterTuningJob (Maybe SortOrder) Source #
The sort order for results. The default is Ascending
.
listTrainingJobsForHyperParameterTuningJob_statusEquals :: Lens' ListTrainingJobsForHyperParameterTuningJob (Maybe TrainingJobStatus) Source #
A filter that returns only training jobs with the specified status.
listTrainingJobsForHyperParameterTuningJob_hyperParameterTuningJobName :: Lens' ListTrainingJobsForHyperParameterTuningJob Text Source #
The name of the tuning job whose training jobs you want to list.
listTrainingJobsForHyperParameterTuningJobResponse_nextToken :: Lens' ListTrainingJobsForHyperParameterTuningJobResponse (Maybe Text) Source #
If the result of this ListTrainingJobsForHyperParameterTuningJob
request was truncated, the response includes a NextToken
. To retrieve
the next set of training jobs, use the token in the next request.
listTrainingJobsForHyperParameterTuningJobResponse_httpStatus :: Lens' ListTrainingJobsForHyperParameterTuningJobResponse Int Source #
The response's http status code.
listTrainingJobsForHyperParameterTuningJobResponse_trainingJobSummaries :: Lens' ListTrainingJobsForHyperParameterTuningJobResponse [HyperParameterTrainingJobSummary] Source #
A list of TrainingJobSummary objects that describe the training jobs
that the ListTrainingJobsForHyperParameterTuningJob
request returned.
ListTransformJobs
listTransformJobs_creationTimeAfter :: Lens' ListTransformJobs (Maybe UTCTime) Source #
A filter that returns only transform jobs created after the specified time.
listTransformJobs_creationTimeBefore :: Lens' ListTransformJobs (Maybe UTCTime) Source #
A filter that returns only transform jobs created before the specified time.
listTransformJobs_lastModifiedTimeAfter :: Lens' ListTransformJobs (Maybe UTCTime) Source #
A filter that returns only transform jobs modified after the specified time.
listTransformJobs_lastModifiedTimeBefore :: Lens' ListTransformJobs (Maybe UTCTime) Source #
A filter that returns only transform jobs modified before the specified time.
listTransformJobs_maxResults :: Lens' ListTransformJobs (Maybe Natural) Source #
The maximum number of transform jobs to return in the response. The
default value is 10
.
listTransformJobs_nameContains :: Lens' ListTransformJobs (Maybe Text) Source #
A string in the transform job name. This filter returns only transform jobs whose name contains the specified string.
listTransformJobs_nextToken :: Lens' ListTransformJobs (Maybe Text) Source #
If the result of the previous ListTransformJobs
request was truncated,
the response includes a NextToken
. To retrieve the next set of
transform jobs, use the token in the next request.
listTransformJobs_sortBy :: Lens' ListTransformJobs (Maybe SortBy) Source #
The field to sort results by. The default is CreationTime
.
listTransformJobs_sortOrder :: Lens' ListTransformJobs (Maybe SortOrder) Source #
The sort order for results. The default is Descending
.
listTransformJobs_statusEquals :: Lens' ListTransformJobs (Maybe TransformJobStatus) Source #
A filter that retrieves only transform jobs with a specific status.
listTransformJobsResponse_nextToken :: Lens' ListTransformJobsResponse (Maybe Text) Source #
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of transform jobs, use it in the next request.
listTransformJobsResponse_httpStatus :: Lens' ListTransformJobsResponse Int Source #
The response's http status code.
listTransformJobsResponse_transformJobSummaries :: Lens' ListTransformJobsResponse [TransformJobSummary] Source #
An array of TransformJobSummary
objects.
ListTrialComponents
listTrialComponents_createdAfter :: Lens' ListTrialComponents (Maybe UTCTime) Source #
A filter that returns only components created after the specified time.
listTrialComponents_createdBefore :: Lens' ListTrialComponents (Maybe UTCTime) Source #
A filter that returns only components created before the specified time.
listTrialComponents_experimentName :: Lens' ListTrialComponents (Maybe Text) Source #
A filter that returns only components that are part of the specified
experiment. If you specify ExperimentName
, you can't filter by
SourceArn
or TrialName
.
listTrialComponents_maxResults :: Lens' ListTrialComponents (Maybe Natural) Source #
The maximum number of components to return in the response. The default value is 10.
listTrialComponents_nextToken :: Lens' ListTrialComponents (Maybe Text) Source #
If the previous call to ListTrialComponents
didn't return the full
set of components, the call returns a token for getting the next set of
components.
listTrialComponents_sortBy :: Lens' ListTrialComponents (Maybe SortTrialComponentsBy) Source #
The property used to sort results. The default value is CreationTime
.
listTrialComponents_sortOrder :: Lens' ListTrialComponents (Maybe SortOrder) Source #
The sort order. The default value is Descending
.
listTrialComponents_sourceArn :: Lens' ListTrialComponents (Maybe Text) Source #
A filter that returns only components that have the specified source
Amazon Resource Name (ARN). If you specify SourceArn
, you can't
filter by ExperimentName
or TrialName
.
listTrialComponents_trialName :: Lens' ListTrialComponents (Maybe Text) Source #
A filter that returns only components that are part of the specified
trial. If you specify TrialName
, you can't filter by ExperimentName
or SourceArn
.
listTrialComponentsResponse_nextToken :: Lens' ListTrialComponentsResponse (Maybe Text) Source #
A token for getting the next set of components, if there are any.
listTrialComponentsResponse_trialComponentSummaries :: Lens' ListTrialComponentsResponse (Maybe [TrialComponentSummary]) Source #
A list of the summaries of your trial components.
listTrialComponentsResponse_httpStatus :: Lens' ListTrialComponentsResponse Int Source #
The response's http status code.
ListTrials
listTrials_createdAfter :: Lens' ListTrials (Maybe UTCTime) Source #
A filter that returns only trials created after the specified time.
listTrials_createdBefore :: Lens' ListTrials (Maybe UTCTime) Source #
A filter that returns only trials created before the specified time.
listTrials_experimentName :: Lens' ListTrials (Maybe Text) Source #
A filter that returns only trials that are part of the specified experiment.
listTrials_maxResults :: Lens' ListTrials (Maybe Natural) Source #
The maximum number of trials to return in the response. The default value is 10.
listTrials_nextToken :: Lens' ListTrials (Maybe Text) Source #
If the previous call to ListTrials
didn't return the full set of
trials, the call returns a token for getting the next set of trials.
listTrials_sortBy :: Lens' ListTrials (Maybe SortTrialsBy) Source #
The property used to sort results. The default value is CreationTime
.
listTrials_sortOrder :: Lens' ListTrials (Maybe SortOrder) Source #
The sort order. The default value is Descending
.
listTrials_trialComponentName :: Lens' ListTrials (Maybe Text) Source #
A filter that returns only trials that are associated with the specified trial component.
listTrialsResponse_nextToken :: Lens' ListTrialsResponse (Maybe Text) Source #
A token for getting the next set of trials, if there are any.
listTrialsResponse_trialSummaries :: Lens' ListTrialsResponse (Maybe [TrialSummary]) Source #
A list of the summaries of your trials.
listTrialsResponse_httpStatus :: Lens' ListTrialsResponse Int Source #
The response's http status code.
ListUserProfiles
listUserProfiles_domainIdEquals :: Lens' ListUserProfiles (Maybe Text) Source #
A parameter by which to filter the results.
listUserProfiles_maxResults :: Lens' ListUserProfiles (Maybe Natural) Source #
Returns a list up to a specified limit.
listUserProfiles_nextToken :: Lens' ListUserProfiles (Maybe Text) Source #
If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
listUserProfiles_sortBy :: Lens' ListUserProfiles (Maybe UserProfileSortKey) Source #
The parameter by which to sort the results. The default is CreationTime.
listUserProfiles_sortOrder :: Lens' ListUserProfiles (Maybe SortOrder) Source #
The sort order for the results. The default is Ascending.
listUserProfiles_userProfileNameContains :: Lens' ListUserProfiles (Maybe Text) Source #
A parameter by which to filter the results.
listUserProfilesResponse_nextToken :: Lens' ListUserProfilesResponse (Maybe Text) Source #
If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
listUserProfilesResponse_userProfiles :: Lens' ListUserProfilesResponse (Maybe [UserProfileDetails]) Source #
The list of user profiles.
listUserProfilesResponse_httpStatus :: Lens' ListUserProfilesResponse Int Source #
The response's http status code.
ListWorkforces
listWorkforces_maxResults :: Lens' ListWorkforces (Maybe Natural) Source #
The maximum number of workforces returned in the response.
listWorkforces_nameContains :: Lens' ListWorkforces (Maybe Text) Source #
A filter you can use to search for workforces using part of the workforce name.
listWorkforces_nextToken :: Lens' ListWorkforces (Maybe Text) Source #
A token to resume pagination.
listWorkforces_sortBy :: Lens' ListWorkforces (Maybe ListWorkforcesSortByOptions) Source #
Sort workforces using the workforce name or creation date.
listWorkforces_sortOrder :: Lens' ListWorkforces (Maybe SortOrder) Source #
Sort workforces in ascending or descending order.
listWorkforcesResponse_nextToken :: Lens' ListWorkforcesResponse (Maybe Text) Source #
A token to resume pagination.
listWorkforcesResponse_httpStatus :: Lens' ListWorkforcesResponse Int Source #
The response's http status code.
listWorkforcesResponse_workforces :: Lens' ListWorkforcesResponse [Workforce] Source #
A list containing information about your workforce.
ListWorkteams
listWorkteams_maxResults :: Lens' ListWorkteams (Maybe Natural) Source #
The maximum number of work teams to return in each page of the response.
listWorkteams_nameContains :: Lens' ListWorkteams (Maybe Text) Source #
A string in the work team's name. This filter returns only work teams whose name contains the specified string.
listWorkteams_nextToken :: Lens' ListWorkteams (Maybe Text) Source #
If the result of the previous ListWorkteams
request was truncated, the
response includes a NextToken
. To retrieve the next set of labeling
jobs, use the token in the next request.
listWorkteams_sortBy :: Lens' ListWorkteams (Maybe ListWorkteamsSortByOptions) Source #
The field to sort results by. The default is CreationTime
.
listWorkteams_sortOrder :: Lens' ListWorkteams (Maybe SortOrder) Source #
The sort order for results. The default is Ascending
.
listWorkteamsResponse_nextToken :: Lens' ListWorkteamsResponse (Maybe Text) Source #
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of work teams, use it in the subsequent request.
listWorkteamsResponse_httpStatus :: Lens' ListWorkteamsResponse Int Source #
The response's http status code.
listWorkteamsResponse_workteams :: Lens' ListWorkteamsResponse [Workteam] Source #
An array of Workteam
objects, each describing a work team.
PutModelPackageGroupPolicy
putModelPackageGroupPolicy_modelPackageGroupName :: Lens' PutModelPackageGroupPolicy Text Source #
The name of the model group to add a resource policy to.
putModelPackageGroupPolicy_resourcePolicy :: Lens' PutModelPackageGroupPolicy Text Source #
The resource policy for the model group.
putModelPackageGroupPolicyResponse_httpStatus :: Lens' PutModelPackageGroupPolicyResponse Int Source #
The response's http status code.
putModelPackageGroupPolicyResponse_modelPackageGroupArn :: Lens' PutModelPackageGroupPolicyResponse Text Source #
The Amazon Resource Name (ARN) of the model package group.
QueryLineage
queryLineage_direction :: Lens' QueryLineage (Maybe Direction) Source #
Associations between lineage entities have a direction. This parameter determines the direction from the StartArn(s) that the query traverses.
queryLineage_filters :: Lens' QueryLineage (Maybe QueryFilters) Source #
A set of filtering parameters that allow you to specify which entities should be returned.
- Properties - Key-value pairs to match on the lineage entities' properties.
- LineageTypes - A set of lineage entity types to match on. For
example:
TrialComponent
,Artifact
, orContext
. - CreatedBefore - Filter entities created before this date.
- ModifiedBefore - Filter entities modified before this date.
- ModifiedAfter - Filter entities modified after this date.
queryLineage_includeEdges :: Lens' QueryLineage (Maybe Bool) Source #
Setting this value to True
retrieves not only the entities of interest
but also the
Associations
and lineage entities on the path. Set to False
to only return lineage
entities that match your query.
queryLineage_maxDepth :: Lens' QueryLineage (Maybe Int) Source #
The maximum depth in lineage relationships from the StartArns
that are
traversed. Depth is a measure of the number of Associations
from the
StartArn
entity to the matched results.
queryLineage_maxResults :: Lens' QueryLineage (Maybe Int) Source #
Limits the number of vertices in the results. Use the NextToken
in a
response to to retrieve the next page of results.
queryLineage_nextToken :: Lens' QueryLineage (Maybe Text) Source #
Limits the number of vertices in the request. Use the NextToken
in a
response to to retrieve the next page of results.
queryLineage_startArns :: Lens' QueryLineage (Maybe [Text]) Source #
A list of resource Amazon Resource Name (ARN) that represent the starting point for your lineage query.
queryLineageResponse_edges :: Lens' QueryLineageResponse (Maybe [Edge]) Source #
A list of edges that connect vertices in the response.
queryLineageResponse_nextToken :: Lens' QueryLineageResponse (Maybe Text) Source #
Limits the number of vertices in the response. Use the NextToken
in a
response to to retrieve the next page of results.
queryLineageResponse_vertices :: Lens' QueryLineageResponse (Maybe [Vertex]) Source #
A list of vertices connected to the start entity(ies) in the lineage graph.
queryLineageResponse_httpStatus :: Lens' QueryLineageResponse Int Source #
The response's http status code.
RegisterDevices
registerDevices_tags :: Lens' RegisterDevices (Maybe [Tag]) Source #
The tags associated with devices.
registerDevices_deviceFleetName :: Lens' RegisterDevices Text Source #
The name of the fleet.
registerDevices_devices :: Lens' RegisterDevices [Device] Source #
A list of devices to register with SageMaker Edge Manager.
RenderUiTemplate
renderUiTemplate_humanTaskUiArn :: Lens' RenderUiTemplate (Maybe Text) Source #
The HumanTaskUiArn
of the worker UI that you want to render. Do not
provide a HumanTaskUiArn
if you use the UiTemplate
parameter.
See a list of available Human Ui Amazon Resource Names (ARNs) in UiConfig.
renderUiTemplate_uiTemplate :: Lens' RenderUiTemplate (Maybe UiTemplate) Source #
A Template
object containing the worker UI template to render.
renderUiTemplate_task :: Lens' RenderUiTemplate RenderableTask Source #
A RenderableTask
object containing a representative task to render.
renderUiTemplate_roleArn :: Lens' RenderUiTemplate Text Source #
The Amazon Resource Name (ARN) that has access to the S3 objects that are used by the template.
renderUiTemplateResponse_httpStatus :: Lens' RenderUiTemplateResponse Int Source #
The response's http status code.
renderUiTemplateResponse_renderedContent :: Lens' RenderUiTemplateResponse Text Source #
A Liquid template that renders the HTML for the worker UI.
renderUiTemplateResponse_errors :: Lens' RenderUiTemplateResponse [RenderingError] Source #
A list of one or more RenderingError
objects if any were encountered
while rendering the template. If there were no errors, the list is
empty.
RetryPipelineExecution
retryPipelineExecution_parallelismConfiguration :: Lens' RetryPipelineExecution (Maybe ParallelismConfiguration) Source #
This configuration, if specified, overrides the parallelism configuration of the parent pipeline.
retryPipelineExecution_pipelineExecutionArn :: Lens' RetryPipelineExecution Text Source #
The Amazon Resource Name (ARN) of the pipeline execution.
retryPipelineExecution_clientRequestToken :: Lens' RetryPipelineExecution Text Source #
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than once.
retryPipelineExecutionResponse_pipelineExecutionArn :: Lens' RetryPipelineExecutionResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline execution.
retryPipelineExecutionResponse_httpStatus :: Lens' RetryPipelineExecutionResponse Int Source #
The response's http status code.
Search
search_nextToken :: Lens' Search (Maybe Text) Source #
If more than MaxResults
resources match the specified
SearchExpression
, the response includes a NextToken
. The NextToken
can be passed to the next SearchRequest
to continue retrieving
results.
search_searchExpression :: Lens' Search (Maybe SearchExpression) Source #
A Boolean conditional statement. Resources must satisfy this condition
to be included in search results. You must provide at least one
subexpression, filter, or nested filter. The maximum number of recursive
SubExpressions
, NestedFilters
, and Filters
that can be included in
a SearchExpression
object is 50.
search_sortBy :: Lens' Search (Maybe Text) Source #
The name of the resource property used to sort the SearchResults
. The
default is LastModifiedTime
.
search_sortOrder :: Lens' Search (Maybe SearchSortOrder) Source #
How SearchResults
are ordered. Valid values are Ascending
or
Descending
. The default is Descending
.
search_resource :: Lens' Search ResourceType Source #
The name of the Amazon SageMaker resource to search for.
searchResponse_nextToken :: Lens' SearchResponse (Maybe Text) Source #
If the result of the previous Search
request was truncated, the
response includes a NextToken. To retrieve the next set of results, use
the token in the next request.
searchResponse_results :: Lens' SearchResponse (Maybe [SearchRecord]) Source #
A list of SearchRecord
objects.
searchResponse_httpStatus :: Lens' SearchResponse Int Source #
The response's http status code.
SendPipelineExecutionStepFailure
sendPipelineExecutionStepFailure_clientRequestToken :: Lens' SendPipelineExecutionStepFailure (Maybe Text) Source #
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.
sendPipelineExecutionStepFailure_failureReason :: Lens' SendPipelineExecutionStepFailure (Maybe Text) Source #
A message describing why the step failed.
sendPipelineExecutionStepFailure_callbackToken :: Lens' SendPipelineExecutionStepFailure Text Source #
The pipeline generated token from the Amazon SQS queue.
sendPipelineExecutionStepFailureResponse_pipelineExecutionArn :: Lens' SendPipelineExecutionStepFailureResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline execution.
sendPipelineExecutionStepFailureResponse_httpStatus :: Lens' SendPipelineExecutionStepFailureResponse Int Source #
The response's http status code.
SendPipelineExecutionStepSuccess
sendPipelineExecutionStepSuccess_clientRequestToken :: Lens' SendPipelineExecutionStepSuccess (Maybe Text) Source #
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.
sendPipelineExecutionStepSuccess_outputParameters :: Lens' SendPipelineExecutionStepSuccess (Maybe [OutputParameter]) Source #
A list of the output parameters of the callback step.
sendPipelineExecutionStepSuccess_callbackToken :: Lens' SendPipelineExecutionStepSuccess Text Source #
The pipeline generated token from the Amazon SQS queue.
sendPipelineExecutionStepSuccessResponse_pipelineExecutionArn :: Lens' SendPipelineExecutionStepSuccessResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline execution.
sendPipelineExecutionStepSuccessResponse_httpStatus :: Lens' SendPipelineExecutionStepSuccessResponse Int Source #
The response's http status code.
StartEdgeDeploymentStage
startEdgeDeploymentStage_edgeDeploymentPlanName :: Lens' StartEdgeDeploymentStage Text Source #
The name of the edge deployment plan to start.
startEdgeDeploymentStage_stageName :: Lens' StartEdgeDeploymentStage Text Source #
The name of the stage to start.
StartInferenceExperiment
startInferenceExperiment_name :: Lens' StartInferenceExperiment Text Source #
The name of the inference experiment to start.
startInferenceExperimentResponse_httpStatus :: Lens' StartInferenceExperimentResponse Int Source #
The response's http status code.
startInferenceExperimentResponse_inferenceExperimentArn :: Lens' StartInferenceExperimentResponse Text Source #
The ARN of the started inference experiment to start.
StartMonitoringSchedule
startMonitoringSchedule_monitoringScheduleName :: Lens' StartMonitoringSchedule Text Source #
The name of the schedule to start.
StartNotebookInstance
startNotebookInstance_notebookInstanceName :: Lens' StartNotebookInstance Text Source #
The name of the notebook instance to start.
StartPipelineExecution
startPipelineExecution_parallelismConfiguration :: Lens' StartPipelineExecution (Maybe ParallelismConfiguration) Source #
This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this specific run.
startPipelineExecution_pipelineExecutionDescription :: Lens' StartPipelineExecution (Maybe Text) Source #
The description of the pipeline execution.
startPipelineExecution_pipelineExecutionDisplayName :: Lens' StartPipelineExecution (Maybe Text) Source #
The display name of the pipeline execution.
startPipelineExecution_pipelineParameters :: Lens' StartPipelineExecution (Maybe [Parameter]) Source #
Contains a list of pipeline parameters. This list can be empty.
startPipelineExecution_pipelineName :: Lens' StartPipelineExecution Text Source #
The name of the pipeline.
startPipelineExecution_clientRequestToken :: Lens' StartPipelineExecution Text Source #
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than once.
startPipelineExecutionResponse_pipelineExecutionArn :: Lens' StartPipelineExecutionResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline execution.
startPipelineExecutionResponse_httpStatus :: Lens' StartPipelineExecutionResponse Int Source #
The response's http status code.
StopAutoMLJob
stopAutoMLJob_autoMLJobName :: Lens' StopAutoMLJob Text Source #
The name of the object you are requesting.
StopCompilationJob
stopCompilationJob_compilationJobName :: Lens' StopCompilationJob Text Source #
The name of the model compilation job to stop.
StopEdgeDeploymentStage
stopEdgeDeploymentStage_edgeDeploymentPlanName :: Lens' StopEdgeDeploymentStage Text Source #
The name of the edge deployment plan to stop.
stopEdgeDeploymentStage_stageName :: Lens' StopEdgeDeploymentStage Text Source #
The name of the stage to stop.
StopEdgePackagingJob
stopEdgePackagingJob_edgePackagingJobName :: Lens' StopEdgePackagingJob Text Source #
The name of the edge packaging job.
StopHyperParameterTuningJob
stopHyperParameterTuningJob_hyperParameterTuningJobName :: Lens' StopHyperParameterTuningJob Text Source #
The name of the tuning job to stop.
StopInferenceExperiment
stopInferenceExperiment_desiredModelVariants :: Lens' StopInferenceExperiment (Maybe (NonEmpty ModelVariantConfig)) Source #
An array of ModelVariantConfig
objects. There is one for each variant
that you want to deploy after the inference experiment stops. Each
ModelVariantConfig
describes the infrastructure configuration for
deploying the corresponding variant.
stopInferenceExperiment_desiredState :: Lens' StopInferenceExperiment (Maybe InferenceExperimentStopDesiredState) Source #
The desired state of the experiment after stopping. The possible states are the following:
Completed
: The experiment completed successfullyCancelled
: The experiment was canceled
stopInferenceExperiment_reason :: Lens' StopInferenceExperiment (Maybe Text) Source #
The reason for stopping the experiment.
stopInferenceExperiment_name :: Lens' StopInferenceExperiment Text Source #
The name of the inference experiment to stop.
stopInferenceExperiment_modelVariantActions :: Lens' StopInferenceExperiment (HashMap Text ModelVariantAction) Source #
Array of key-value pairs, with names of variants mapped to actions. The possible actions are the following:
Promote
- Promote the shadow variant to a production variantRemove
- Delete the variantRetain
- Keep the variant as it is
stopInferenceExperimentResponse_httpStatus :: Lens' StopInferenceExperimentResponse Int Source #
The response's http status code.
stopInferenceExperimentResponse_inferenceExperimentArn :: Lens' StopInferenceExperimentResponse Text Source #
The ARN of the stopped inference experiment.
StopInferenceRecommendationsJob
stopInferenceRecommendationsJob_jobName :: Lens' StopInferenceRecommendationsJob Text Source #
The name of the job you want to stop.
StopLabelingJob
stopLabelingJob_labelingJobName :: Lens' StopLabelingJob Text Source #
The name of the labeling job to stop.
StopMonitoringSchedule
stopMonitoringSchedule_monitoringScheduleName :: Lens' StopMonitoringSchedule Text Source #
The name of the schedule to stop.
StopNotebookInstance
stopNotebookInstance_notebookInstanceName :: Lens' StopNotebookInstance Text Source #
The name of the notebook instance to terminate.
StopPipelineExecution
stopPipelineExecution_pipelineExecutionArn :: Lens' StopPipelineExecution Text Source #
The Amazon Resource Name (ARN) of the pipeline execution.
stopPipelineExecution_clientRequestToken :: Lens' StopPipelineExecution Text Source #
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than once.
stopPipelineExecutionResponse_pipelineExecutionArn :: Lens' StopPipelineExecutionResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline execution.
stopPipelineExecutionResponse_httpStatus :: Lens' StopPipelineExecutionResponse Int Source #
The response's http status code.
StopProcessingJob
stopProcessingJob_processingJobName :: Lens' StopProcessingJob Text Source #
The name of the processing job to stop.
StopTrainingJob
stopTrainingJob_trainingJobName :: Lens' StopTrainingJob Text Source #
The name of the training job to stop.
StopTransformJob
stopTransformJob_transformJobName :: Lens' StopTransformJob Text Source #
The name of the batch transform job to stop.
UpdateAction
updateAction_description :: Lens' UpdateAction (Maybe Text) Source #
The new description for the action.
updateAction_properties :: Lens' UpdateAction (Maybe (HashMap Text Text)) Source #
The new list of properties. Overwrites the current property list.
updateAction_propertiesToRemove :: Lens' UpdateAction (Maybe [Text]) Source #
A list of properties to remove.
updateAction_status :: Lens' UpdateAction (Maybe ActionStatus) Source #
The new status for the action.
updateAction_actionName :: Lens' UpdateAction Text Source #
The name of the action to update.
updateActionResponse_actionArn :: Lens' UpdateActionResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the action.
updateActionResponse_httpStatus :: Lens' UpdateActionResponse Int Source #
The response's http status code.
UpdateAppImageConfig
updateAppImageConfig_kernelGatewayImageConfig :: Lens' UpdateAppImageConfig (Maybe KernelGatewayImageConfig) Source #
The new KernelGateway app to run on the image.
updateAppImageConfig_appImageConfigName :: Lens' UpdateAppImageConfig Text Source #
The name of the AppImageConfig to update.
updateAppImageConfigResponse_appImageConfigArn :: Lens' UpdateAppImageConfigResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) for the AppImageConfig.
updateAppImageConfigResponse_httpStatus :: Lens' UpdateAppImageConfigResponse Int Source #
The response's http status code.
UpdateArtifact
updateArtifact_artifactName :: Lens' UpdateArtifact (Maybe Text) Source #
The new name for the artifact.
updateArtifact_properties :: Lens' UpdateArtifact (Maybe (HashMap Text Text)) Source #
The new list of properties. Overwrites the current property list.
updateArtifact_propertiesToRemove :: Lens' UpdateArtifact (Maybe [Text]) Source #
A list of properties to remove.
updateArtifact_artifactArn :: Lens' UpdateArtifact Text Source #
The Amazon Resource Name (ARN) of the artifact to update.
updateArtifactResponse_artifactArn :: Lens' UpdateArtifactResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the artifact.
updateArtifactResponse_httpStatus :: Lens' UpdateArtifactResponse Int Source #
The response's http status code.
UpdateCodeRepository
updateCodeRepository_gitConfig :: Lens' UpdateCodeRepository (Maybe GitConfigForUpdate) Source #
The configuration of the git repository, including the URL and the
Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager
secret that contains the credentials used to access the repository. The
secret must have a staging label of AWSCURRENT
and must be in the
following format:
{"username":
UserName
, "password":
Password
}
updateCodeRepository_codeRepositoryName :: Lens' UpdateCodeRepository Text Source #
The name of the Git repository to update.
updateCodeRepositoryResponse_httpStatus :: Lens' UpdateCodeRepositoryResponse Int Source #
The response's http status code.
updateCodeRepositoryResponse_codeRepositoryArn :: Lens' UpdateCodeRepositoryResponse Text Source #
The ARN of the Git repository.
UpdateContext
updateContext_description :: Lens' UpdateContext (Maybe Text) Source #
The new description for the context.
updateContext_properties :: Lens' UpdateContext (Maybe (HashMap Text Text)) Source #
The new list of properties. Overwrites the current property list.
updateContext_propertiesToRemove :: Lens' UpdateContext (Maybe [Text]) Source #
A list of properties to remove.
updateContext_contextName :: Lens' UpdateContext Text Source #
The name of the context to update.
updateContextResponse_contextArn :: Lens' UpdateContextResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the context.
updateContextResponse_httpStatus :: Lens' UpdateContextResponse Int Source #
The response's http status code.
UpdateDeviceFleet
updateDeviceFleet_description :: Lens' UpdateDeviceFleet (Maybe Text) Source #
Description of the fleet.
updateDeviceFleet_enableIotRoleAlias :: Lens' UpdateDeviceFleet (Maybe Bool) Source #
Whether to create an Amazon Web Services IoT Role Alias during device fleet creation. The name of the role alias generated will match this pattern: "SageMakerEdge-{DeviceFleetName}".
For example, if your device fleet is called "demo-fleet", the name of the role alias will be "SageMakerEdge-demo-fleet".
updateDeviceFleet_roleArn :: Lens' UpdateDeviceFleet (Maybe Text) Source #
The Amazon Resource Name (ARN) of the device.
updateDeviceFleet_deviceFleetName :: Lens' UpdateDeviceFleet Text Source #
The name of the fleet.
updateDeviceFleet_outputConfig :: Lens' UpdateDeviceFleet EdgeOutputConfig Source #
Output configuration for storing sample data collected by the fleet.
UpdateDevices
updateDevices_deviceFleetName :: Lens' UpdateDevices Text Source #
The name of the fleet the devices belong to.
updateDevices_devices :: Lens' UpdateDevices [Device] Source #
List of devices to register with Edge Manager agent.
UpdateDomain
updateDomain_appSecurityGroupManagement :: Lens' UpdateDomain (Maybe AppSecurityGroupManagement) Source #
The entity that creates and manages the required security groups for
inter-app communication in VPCOnly
mode. Required when
CreateDomain.AppNetworkAccessType
is VPCOnly
and
DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn
is provided.
updateDomain_defaultSpaceSettings :: Lens' UpdateDomain (Maybe DefaultSpaceSettings) Source #
The default settings used to create a space within the Domain.
updateDomain_defaultUserSettings :: Lens' UpdateDomain (Maybe UserSettings) Source #
A collection of settings.
updateDomain_domainSettingsForUpdate :: Lens' UpdateDomain (Maybe DomainSettingsForUpdate) Source #
A collection of DomainSettings
configuration values to update.
updateDomain_domainId :: Lens' UpdateDomain Text Source #
The ID of the domain to be updated.
updateDomainResponse_domainArn :: Lens' UpdateDomainResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the domain.
updateDomainResponse_httpStatus :: Lens' UpdateDomainResponse Int Source #
The response's http status code.
UpdateEndpoint
updateEndpoint_deploymentConfig :: Lens' UpdateEndpoint (Maybe DeploymentConfig) Source #
The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback configurations.
updateEndpoint_excludeRetainedVariantProperties :: Lens' UpdateEndpoint (Maybe [VariantProperty]) Source #
When you are updating endpoint resources with
UpdateEndpointInput$RetainAllVariantProperties, whose value is set to
true
, ExcludeRetainedVariantProperties
specifies the list of type
VariantProperty to override with the values provided by
EndpointConfig
. If you don't specify a value for
ExcludeAllVariantProperties
, no variant properties are overridden.
updateEndpoint_retainAllVariantProperties :: Lens' UpdateEndpoint (Maybe Bool) Source #
When updating endpoint resources, enables or disables the retention of
variant properties,
such as the instance count or the variant weight. To retain the variant
properties of an endpoint when updating it, set
RetainAllVariantProperties
to true
. To use the variant properties
specified in a new EndpointConfig
call when updating an endpoint, set
RetainAllVariantProperties
to false
. The default is false
.
updateEndpoint_retainDeploymentConfig :: Lens' UpdateEndpoint (Maybe Bool) Source #
Specifies whether to reuse the last deployment configuration. The default value is false (the configuration is not reused).
updateEndpoint_endpointName :: Lens' UpdateEndpoint Text Source #
The name of the endpoint whose configuration you want to update.
updateEndpoint_endpointConfigName :: Lens' UpdateEndpoint Text Source #
The name of the new endpoint configuration.
updateEndpointResponse_httpStatus :: Lens' UpdateEndpointResponse Int Source #
The response's http status code.
updateEndpointResponse_endpointArn :: Lens' UpdateEndpointResponse Text Source #
The Amazon Resource Name (ARN) of the endpoint.
UpdateEndpointWeightsAndCapacities
updateEndpointWeightsAndCapacities_endpointName :: Lens' UpdateEndpointWeightsAndCapacities Text Source #
The name of an existing SageMaker endpoint.
updateEndpointWeightsAndCapacities_desiredWeightsAndCapacities :: Lens' UpdateEndpointWeightsAndCapacities (NonEmpty DesiredWeightAndCapacity) Source #
An object that provides new capacity and weight values for a variant.
updateEndpointWeightsAndCapacitiesResponse_httpStatus :: Lens' UpdateEndpointWeightsAndCapacitiesResponse Int Source #
The response's http status code.
updateEndpointWeightsAndCapacitiesResponse_endpointArn :: Lens' UpdateEndpointWeightsAndCapacitiesResponse Text Source #
The Amazon Resource Name (ARN) of the updated endpoint.
UpdateExperiment
updateExperiment_description :: Lens' UpdateExperiment (Maybe Text) Source #
The description of the experiment.
updateExperiment_displayName :: Lens' UpdateExperiment (Maybe Text) Source #
The name of the experiment as displayed. The name doesn't need to be
unique. If DisplayName
isn't specified, ExperimentName
is
displayed.
updateExperiment_experimentName :: Lens' UpdateExperiment Text Source #
The name of the experiment to update.
updateExperimentResponse_experimentArn :: Lens' UpdateExperimentResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the experiment.
updateExperimentResponse_httpStatus :: Lens' UpdateExperimentResponse Int Source #
The response's http status code.
UpdateFeatureGroup
updateFeatureGroup_featureAdditions :: Lens' UpdateFeatureGroup (Maybe (NonEmpty FeatureDefinition)) Source #
Updates the feature group. Updating a feature group is an asynchronous operation. When you get an HTTP 200 response, you've made a valid request. It takes some time after you've made a valid request for Feature Store to update the feature group.
updateFeatureGroup_featureGroupName :: Lens' UpdateFeatureGroup Text Source #
The name of the feature group that you're updating.
updateFeatureGroupResponse_httpStatus :: Lens' UpdateFeatureGroupResponse Int Source #
The response's http status code.
updateFeatureGroupResponse_featureGroupArn :: Lens' UpdateFeatureGroupResponse Text Source #
The Amazon Resource Number (ARN) of the feature group that you're updating.
UpdateFeatureMetadata
updateFeatureMetadata_description :: Lens' UpdateFeatureMetadata (Maybe Text) Source #
A description that you can write to better describe the feature.
updateFeatureMetadata_parameterAdditions :: Lens' UpdateFeatureMetadata (Maybe [FeatureParameter]) Source #
A list of key-value pairs that you can add to better describe the feature.
updateFeatureMetadata_parameterRemovals :: Lens' UpdateFeatureMetadata (Maybe [Text]) Source #
A list of parameter keys that you can specify to remove parameters that describe your feature.
updateFeatureMetadata_featureGroupName :: Lens' UpdateFeatureMetadata Text Source #
The name of the feature group containing the feature that you're updating.
updateFeatureMetadata_featureName :: Lens' UpdateFeatureMetadata Text Source #
The name of the feature that you're updating.
UpdateHub
updateHub_hubSearchKeywords :: Lens' UpdateHub (Maybe [Text]) Source #
The searchable keywords for the hub.
updateHubResponse_httpStatus :: Lens' UpdateHubResponse Int Source #
The response's http status code.
updateHubResponse_hubArn :: Lens' UpdateHubResponse Text Source #
The Amazon Resource Name (ARN) of the updated hub.
UpdateImage
updateImage_deleteProperties :: Lens' UpdateImage (Maybe [Text]) Source #
A list of properties to delete. Only the Description
and DisplayName
properties can be deleted.
updateImage_description :: Lens' UpdateImage (Maybe Text) Source #
The new description for the image.
updateImage_displayName :: Lens' UpdateImage (Maybe Text) Source #
The new display name for the image.
updateImage_roleArn :: Lens' UpdateImage (Maybe Text) Source #
The new ARN for the IAM role that enables Amazon SageMaker to perform tasks on your behalf.
updateImage_imageName :: Lens' UpdateImage Text Source #
The name of the image to update.
updateImageResponse_imageArn :: Lens' UpdateImageResponse (Maybe Text) Source #
The ARN of the image.
updateImageResponse_httpStatus :: Lens' UpdateImageResponse Int Source #
The response's http status code.
UpdateImageVersion
updateImageVersion_alias :: Lens' UpdateImageVersion (Maybe Text) Source #
The alias of the image version.
updateImageVersion_aliasesToAdd :: Lens' UpdateImageVersion (Maybe [Text]) Source #
A list of aliases to add.
updateImageVersion_aliasesToDelete :: Lens' UpdateImageVersion (Maybe [Text]) Source #
A list of aliases to delete.
updateImageVersion_horovod :: Lens' UpdateImageVersion (Maybe Bool) Source #
Indicates Horovod compatibility.
updateImageVersion_jobType :: Lens' UpdateImageVersion (Maybe JobType) Source #
Indicates SageMaker job type compatibility.
TRAINING
: The image version is compatible with SageMaker training jobs.INFERENCE
: The image version is compatible with SageMaker inference jobs.NOTEBOOK_KERNEL
: The image version is compatible with SageMaker notebook kernels.
updateImageVersion_mLFramework :: Lens' UpdateImageVersion (Maybe Text) Source #
The machine learning framework vended in the image version.
updateImageVersion_processor :: Lens' UpdateImageVersion (Maybe Processor) Source #
Indicates CPU or GPU compatibility.
CPU
: The image version is compatible with CPU.GPU
: The image version is compatible with GPU.
updateImageVersion_programmingLang :: Lens' UpdateImageVersion (Maybe Text) Source #
The supported programming language and its version.
updateImageVersion_releaseNotes :: Lens' UpdateImageVersion (Maybe Text) Source #
The maintainer description of the image version.
updateImageVersion_vendorGuidance :: Lens' UpdateImageVersion (Maybe VendorGuidance) Source #
The availability of the image version specified by the maintainer.
NOT_PROVIDED
: The maintainers did not provide a status for image version stability.STABLE
: The image version is stable.TO_BE_ARCHIVED
: The image version is set to be archived. Custom image versions that are set to be archived are automatically archived after three months.ARCHIVED
: The image version is archived. Archived image versions are not searchable and are no longer actively supported.
updateImageVersion_version :: Lens' UpdateImageVersion (Maybe Natural) Source #
The version of the image.
updateImageVersion_imageName :: Lens' UpdateImageVersion Text Source #
The name of the image.
updateImageVersionResponse_imageVersionArn :: Lens' UpdateImageVersionResponse (Maybe Text) Source #
The ARN of the image version.
updateImageVersionResponse_httpStatus :: Lens' UpdateImageVersionResponse Int Source #
The response's http status code.
UpdateInferenceExperiment
updateInferenceExperiment_dataStorageConfig :: Lens' UpdateInferenceExperiment (Maybe InferenceExperimentDataStorageConfig) Source #
The Amazon S3 location and configuration for storing inference request and response data.
updateInferenceExperiment_description :: Lens' UpdateInferenceExperiment (Maybe Text) Source #
The description of the inference experiment.
updateInferenceExperiment_modelVariants :: Lens' UpdateInferenceExperiment (Maybe (NonEmpty ModelVariantConfig)) Source #
An array of ModelVariantConfig
objects. There is one for each variant,
whose infrastructure configuration you want to update.
updateInferenceExperiment_schedule :: Lens' UpdateInferenceExperiment (Maybe InferenceExperimentSchedule) Source #
The duration for which the inference experiment will run. If the status
of the inference experiment is Created
, then you can update both the
start and end dates. If the status of the inference experiment is
Running
, then you can update only the end date.
updateInferenceExperiment_shadowModeConfig :: Lens' UpdateInferenceExperiment (Maybe ShadowModeConfig) Source #
The configuration of ShadowMode
inference experiment type. Use this
field to specify a production variant which takes all the inference
requests, and a shadow variant to which Amazon SageMaker replicates a
percentage of the inference requests. For the shadow variant also
specify the percentage of requests that Amazon SageMaker replicates.
updateInferenceExperiment_name :: Lens' UpdateInferenceExperiment Text Source #
The name of the inference experiment to be updated.
updateInferenceExperimentResponse_httpStatus :: Lens' UpdateInferenceExperimentResponse Int Source #
The response's http status code.
updateInferenceExperimentResponse_inferenceExperimentArn :: Lens' UpdateInferenceExperimentResponse Text Source #
The ARN of the updated inference experiment.
UpdateModelCard
updateModelCard_content :: Lens' UpdateModelCard (Maybe Text) Source #
The updated model card content. Content must be in model card JSON schema and provided as a string.
When updating model card content, be sure to include the full content and not just updated content.
updateModelCard_modelCardStatus :: Lens' UpdateModelCard (Maybe ModelCardStatus) Source #
The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft
: The model card is a work in progress.PendingReview
: The model card is pending review.Approved
: The model card is approved.Archived
: The model card is archived. No more updates should be made to the model card, but it can still be exported.
updateModelCard_modelCardName :: Lens' UpdateModelCard Text Source #
The name of the model card to update.
updateModelCardResponse_httpStatus :: Lens' UpdateModelCardResponse Int Source #
The response's http status code.
updateModelCardResponse_modelCardArn :: Lens' UpdateModelCardResponse Text Source #
The Amazon Resource Name (ARN) of the updated model card.
UpdateModelPackage
updateModelPackage_additionalInferenceSpecificationsToAdd :: Lens' UpdateModelPackage (Maybe (NonEmpty AdditionalInferenceSpecificationDefinition)) Source #
An array of additional Inference Specification objects to be added to the existing array additional Inference Specification. Total number of additional Inference Specifications can not exceed 15. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
updateModelPackage_approvalDescription :: Lens' UpdateModelPackage (Maybe Text) Source #
A description for the approval status of the model.
updateModelPackage_customerMetadataProperties :: Lens' UpdateModelPackage (Maybe (HashMap Text Text)) Source #
The metadata properties associated with the model package versions.
updateModelPackage_customerMetadataPropertiesToRemove :: Lens' UpdateModelPackage (Maybe [Text]) Source #
The metadata properties associated with the model package versions to remove.
updateModelPackage_modelApprovalStatus :: Lens' UpdateModelPackage (Maybe ModelApprovalStatus) Source #
The approval status of the model.
updateModelPackage_modelPackageArn :: Lens' UpdateModelPackage Text Source #
The Amazon Resource Name (ARN) of the model package.
updateModelPackageResponse_httpStatus :: Lens' UpdateModelPackageResponse Int Source #
The response's http status code.
updateModelPackageResponse_modelPackageArn :: Lens' UpdateModelPackageResponse Text Source #
The Amazon Resource Name (ARN) of the model.
UpdateMonitoringAlert
updateMonitoringAlert_monitoringScheduleName :: Lens' UpdateMonitoringAlert Text Source #
The name of a monitoring schedule.
updateMonitoringAlert_monitoringAlertName :: Lens' UpdateMonitoringAlert Text Source #
The name of a monitoring alert.
updateMonitoringAlert_datapointsToAlert :: Lens' UpdateMonitoringAlert Natural Source #
Within EvaluationPeriod
, how many execution failures will raise an
alert.
updateMonitoringAlert_evaluationPeriod :: Lens' UpdateMonitoringAlert Natural Source #
The number of most recent monitoring executions to consider when evaluating alert status.
updateMonitoringAlertResponse_monitoringAlertName :: Lens' UpdateMonitoringAlertResponse (Maybe Text) Source #
The name of a monitoring alert.
updateMonitoringAlertResponse_httpStatus :: Lens' UpdateMonitoringAlertResponse Int Source #
The response's http status code.
updateMonitoringAlertResponse_monitoringScheduleArn :: Lens' UpdateMonitoringAlertResponse Text Source #
The Amazon Resource Name (ARN) of the monitoring schedule.
UpdateMonitoringSchedule
updateMonitoringSchedule_monitoringScheduleName :: Lens' UpdateMonitoringSchedule Text Source #
The name of the monitoring schedule. The name must be unique within an Amazon Web Services Region within an Amazon Web Services account.
updateMonitoringSchedule_monitoringScheduleConfig :: Lens' UpdateMonitoringSchedule MonitoringScheduleConfig Source #
The configuration object that specifies the monitoring schedule and defines the monitoring job.
updateMonitoringScheduleResponse_httpStatus :: Lens' UpdateMonitoringScheduleResponse Int Source #
The response's http status code.
updateMonitoringScheduleResponse_monitoringScheduleArn :: Lens' UpdateMonitoringScheduleResponse Text Source #
The Amazon Resource Name (ARN) of the monitoring schedule.
UpdateNotebookInstance
updateNotebookInstance_acceleratorTypes :: Lens' UpdateNotebookInstance (Maybe [NotebookInstanceAcceleratorType]) Source #
A list of the Elastic Inference (EI) instance types to associate with this notebook instance. Currently only one EI instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker.
updateNotebookInstance_additionalCodeRepositories :: Lens' UpdateNotebookInstance (Maybe [Text]) Source #
An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker Notebook Instances.
updateNotebookInstance_defaultCodeRepository :: Lens' UpdateNotebookInstance (Maybe Text) Source #
The Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker Notebook Instances.
updateNotebookInstance_disassociateAcceleratorTypes :: Lens' UpdateNotebookInstance (Maybe Bool) Source #
A list of the Elastic Inference (EI) instance types to remove from this notebook instance. This operation is idempotent. If you specify an accelerator type that is not associated with the notebook instance when you call this method, it does not throw an error.
updateNotebookInstance_disassociateAdditionalCodeRepositories :: Lens' UpdateNotebookInstance (Maybe Bool) Source #
A list of names or URLs of the default Git repositories to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.
updateNotebookInstance_disassociateDefaultCodeRepository :: Lens' UpdateNotebookInstance (Maybe Bool) Source #
The name or URL of the default Git repository to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.
updateNotebookInstance_disassociateLifecycleConfig :: Lens' UpdateNotebookInstance (Maybe Bool) Source #
Set to true
to remove the notebook instance lifecycle configuration
currently associated with the notebook instance. This operation is
idempotent. If you specify a lifecycle configuration that is not
associated with the notebook instance when you call this method, it does
not throw an error.
updateNotebookInstance_instanceMetadataServiceConfiguration :: Lens' UpdateNotebookInstance (Maybe InstanceMetadataServiceConfiguration) Source #
Information on the IMDS configuration of the notebook instance
updateNotebookInstance_instanceType :: Lens' UpdateNotebookInstance (Maybe InstanceType) Source #
The Amazon ML compute instance type.
updateNotebookInstance_lifecycleConfigName :: Lens' UpdateNotebookInstance (Maybe Text) Source #
The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
updateNotebookInstance_roleArn :: Lens' UpdateNotebookInstance (Maybe Text) Source #
The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access the notebook instance. For more information, see SageMaker Roles.
To be able to pass this role to SageMaker, the caller of this API must
have the iam:PassRole
permission.
updateNotebookInstance_rootAccess :: Lens' UpdateNotebookInstance (Maybe RootAccess) Source #
Whether root access is enabled or disabled for users of the notebook
instance. The default value is Enabled
.
If you set this to Disabled
, users don't have root access on the
notebook instance, but lifecycle configuration scripts still run with
root permissions.
updateNotebookInstance_volumeSizeInGB :: Lens' UpdateNotebookInstance (Maybe Natural) Source #
The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB. ML storage volumes are encrypted, so SageMaker can't determine the amount of available free space on the volume. Because of this, you can increase the volume size when you update a notebook instance, but you can't decrease the volume size. If you want to decrease the size of the ML storage volume in use, create a new notebook instance with the desired size.
updateNotebookInstance_notebookInstanceName :: Lens' UpdateNotebookInstance Text Source #
The name of the notebook instance to update.
updateNotebookInstanceResponse_httpStatus :: Lens' UpdateNotebookInstanceResponse Int Source #
The response's http status code.
UpdateNotebookInstanceLifecycleConfig
updateNotebookInstanceLifecycleConfig_onCreate :: Lens' UpdateNotebookInstanceLifecycleConfig (Maybe [NotebookInstanceLifecycleHook]) Source #
The shell script that runs only once, when you create a notebook instance. The shell script must be a base64-encoded string.
updateNotebookInstanceLifecycleConfig_onStart :: Lens' UpdateNotebookInstanceLifecycleConfig (Maybe [NotebookInstanceLifecycleHook]) Source #
The shell script that runs every time you start a notebook instance, including when you create the notebook instance. The shell script must be a base64-encoded string.
updateNotebookInstanceLifecycleConfig_notebookInstanceLifecycleConfigName :: Lens' UpdateNotebookInstanceLifecycleConfig Text Source #
The name of the lifecycle configuration.
updateNotebookInstanceLifecycleConfigResponse_httpStatus :: Lens' UpdateNotebookInstanceLifecycleConfigResponse Int Source #
The response's http status code.
UpdatePipeline
updatePipeline_parallelismConfiguration :: Lens' UpdatePipeline (Maybe ParallelismConfiguration) Source #
If specified, it applies to all executions of this pipeline by default.
updatePipeline_pipelineDefinition :: Lens' UpdatePipeline (Maybe Text) Source #
The JSON pipeline definition.
updatePipeline_pipelineDefinitionS3Location :: Lens' UpdatePipeline (Maybe PipelineDefinitionS3Location) Source #
The location of the pipeline definition stored in Amazon S3. If specified, SageMaker will retrieve the pipeline definition from this location.
updatePipeline_pipelineDescription :: Lens' UpdatePipeline (Maybe Text) Source #
The description of the pipeline.
updatePipeline_pipelineDisplayName :: Lens' UpdatePipeline (Maybe Text) Source #
The display name of the pipeline.
updatePipeline_roleArn :: Lens' UpdatePipeline (Maybe Text) Source #
The Amazon Resource Name (ARN) that the pipeline uses to execute.
updatePipeline_pipelineName :: Lens' UpdatePipeline Text Source #
The name of the pipeline to update.
updatePipelineResponse_pipelineArn :: Lens' UpdatePipelineResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the updated pipeline.
updatePipelineResponse_httpStatus :: Lens' UpdatePipelineResponse Int Source #
The response's http status code.
UpdatePipelineExecution
updatePipelineExecution_parallelismConfiguration :: Lens' UpdatePipelineExecution (Maybe ParallelismConfiguration) Source #
This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this specific run.
updatePipelineExecution_pipelineExecutionDescription :: Lens' UpdatePipelineExecution (Maybe Text) Source #
The description of the pipeline execution.
updatePipelineExecution_pipelineExecutionDisplayName :: Lens' UpdatePipelineExecution (Maybe Text) Source #
The display name of the pipeline execution.
updatePipelineExecution_pipelineExecutionArn :: Lens' UpdatePipelineExecution Text Source #
The Amazon Resource Name (ARN) of the pipeline execution.
updatePipelineExecutionResponse_pipelineExecutionArn :: Lens' UpdatePipelineExecutionResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the updated pipeline execution.
updatePipelineExecutionResponse_httpStatus :: Lens' UpdatePipelineExecutionResponse Int Source #
The response's http status code.
UpdateProject
updateProject_projectDescription :: Lens' UpdateProject (Maybe Text) Source #
The description for the project.
updateProject_serviceCatalogProvisioningUpdateDetails :: Lens' UpdateProject (Maybe ServiceCatalogProvisioningUpdateDetails) Source #
The product ID and provisioning artifact ID to provision a service catalog. The provisioning artifact ID will default to the latest provisioning artifact ID of the product, if you don't provide the provisioning artifact ID. For more information, see What is Amazon Web Services Service Catalog.
updateProject_tags :: Lens' UpdateProject (Maybe [Tag]) Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources. In addition, the project must have tag update constraints set in order to include this parameter in the request. For more information, see Amazon Web Services Service Catalog Tag Update Constraints.
updateProject_projectName :: Lens' UpdateProject Text Source #
The name of the project.
updateProjectResponse_httpStatus :: Lens' UpdateProjectResponse Int Source #
The response's http status code.
updateProjectResponse_projectArn :: Lens' UpdateProjectResponse Text Source #
The Amazon Resource Name (ARN) of the project.
UpdateSpace
updateSpace_spaceSettings :: Lens' UpdateSpace (Maybe SpaceSettings) Source #
A collection of space settings.
updateSpace_domainId :: Lens' UpdateSpace Text Source #
The ID of the associated Domain.
updateSpace_spaceName :: Lens' UpdateSpace Text Source #
The name of the space.
updateSpaceResponse_spaceArn :: Lens' UpdateSpaceResponse (Maybe Text) Source #
The space's Amazon Resource Name (ARN).
updateSpaceResponse_httpStatus :: Lens' UpdateSpaceResponse Int Source #
The response's http status code.
UpdateTrainingJob
updateTrainingJob_profilerConfig :: Lens' UpdateTrainingJob (Maybe ProfilerConfigForUpdate) Source #
Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.
updateTrainingJob_profilerRuleConfigurations :: Lens' UpdateTrainingJob (Maybe [ProfilerRuleConfiguration]) Source #
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
updateTrainingJob_resourceConfig :: Lens' UpdateTrainingJob (Maybe ResourceConfigForUpdate) Source #
The training job ResourceConfig
to update warm pool retention length.
updateTrainingJob_trainingJobName :: Lens' UpdateTrainingJob Text Source #
The name of a training job to update the Debugger profiling configuration.
updateTrainingJobResponse_httpStatus :: Lens' UpdateTrainingJobResponse Int Source #
The response's http status code.
updateTrainingJobResponse_trainingJobArn :: Lens' UpdateTrainingJobResponse Text Source #
The Amazon Resource Name (ARN) of the training job.
UpdateTrial
updateTrial_displayName :: Lens' UpdateTrial (Maybe Text) Source #
The name of the trial as displayed. The name doesn't need to be unique.
If DisplayName
isn't specified, TrialName
is displayed.
updateTrial_trialName :: Lens' UpdateTrial Text Source #
The name of the trial to update.
updateTrialResponse_trialArn :: Lens' UpdateTrialResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial.
updateTrialResponse_httpStatus :: Lens' UpdateTrialResponse Int Source #
The response's http status code.
UpdateTrialComponent
updateTrialComponent_displayName :: Lens' UpdateTrialComponent (Maybe Text) Source #
The name of the component as displayed. The name doesn't need to be
unique. If DisplayName
isn't specified, TrialComponentName
is
displayed.
updateTrialComponent_endTime :: Lens' UpdateTrialComponent (Maybe UTCTime) Source #
When the component ended.
updateTrialComponent_inputArtifacts :: Lens' UpdateTrialComponent (Maybe (HashMap Text TrialComponentArtifact)) Source #
Replaces all of the component's input artifacts with the specified artifacts.
updateTrialComponent_inputArtifactsToRemove :: Lens' UpdateTrialComponent (Maybe [Text]) Source #
The input artifacts to remove from the component.
updateTrialComponent_outputArtifacts :: Lens' UpdateTrialComponent (Maybe (HashMap Text TrialComponentArtifact)) Source #
Replaces all of the component's output artifacts with the specified artifacts.
updateTrialComponent_outputArtifactsToRemove :: Lens' UpdateTrialComponent (Maybe [Text]) Source #
The output artifacts to remove from the component.
updateTrialComponent_parameters :: Lens' UpdateTrialComponent (Maybe (HashMap Text TrialComponentParameterValue)) Source #
Replaces all of the component's hyperparameters with the specified hyperparameters.
updateTrialComponent_parametersToRemove :: Lens' UpdateTrialComponent (Maybe [Text]) Source #
The hyperparameters to remove from the component.
updateTrialComponent_startTime :: Lens' UpdateTrialComponent (Maybe UTCTime) Source #
When the component started.
updateTrialComponent_status :: Lens' UpdateTrialComponent (Maybe TrialComponentStatus) Source #
The new status of the component.
updateTrialComponent_trialComponentName :: Lens' UpdateTrialComponent Text Source #
The name of the component to update.
updateTrialComponentResponse_trialComponentArn :: Lens' UpdateTrialComponentResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial component.
updateTrialComponentResponse_httpStatus :: Lens' UpdateTrialComponentResponse Int Source #
The response's http status code.
UpdateUserProfile
updateUserProfile_userSettings :: Lens' UpdateUserProfile (Maybe UserSettings) Source #
A collection of settings.
updateUserProfile_domainId :: Lens' UpdateUserProfile Text Source #
The domain ID.
updateUserProfile_userProfileName :: Lens' UpdateUserProfile Text Source #
The user profile name.
updateUserProfileResponse_userProfileArn :: Lens' UpdateUserProfileResponse (Maybe Text) Source #
The user profile Amazon Resource Name (ARN).
updateUserProfileResponse_httpStatus :: Lens' UpdateUserProfileResponse Int Source #
The response's http status code.
UpdateWorkforce
updateWorkforce_oidcConfig :: Lens' UpdateWorkforce (Maybe OidcConfig) Source #
Use this parameter to update your OIDC Identity Provider (IdP) configuration for a workforce made using your own IdP.
updateWorkforce_sourceIpConfig :: Lens' UpdateWorkforce (Maybe SourceIpConfig) Source #
A list of one to ten worker IP address ranges (CIDRs) that can be used to access tasks assigned to this workforce.
Maximum: Ten CIDR values
updateWorkforce_workforceVpcConfig :: Lens' UpdateWorkforce (Maybe WorkforceVpcConfigRequest) Source #
Use this parameter to update your VPC configuration for a workforce.
updateWorkforce_workforceName :: Lens' UpdateWorkforce Text Source #
The name of the private workforce that you want to update. You can find your workforce name by using the operation.
updateWorkforceResponse_httpStatus :: Lens' UpdateWorkforceResponse Int Source #
The response's http status code.
updateWorkforceResponse_workforce :: Lens' UpdateWorkforceResponse Workforce Source #
A single private workforce. You can create one private work force in each Amazon Web Services Region. By default, any workforce-related API operation used in a specific region will apply to the workforce created in that region. To learn how to create a private workforce, see Create a Private Workforce.
UpdateWorkteam
updateWorkteam_description :: Lens' UpdateWorkteam (Maybe Text) Source #
An updated description for the work team.
updateWorkteam_memberDefinitions :: Lens' UpdateWorkteam (Maybe (NonEmpty MemberDefinition)) Source #
A list of MemberDefinition
objects that contains objects that identify
the workers that make up the work team.
Workforces can be created using Amazon Cognito or your own OIDC Identity
Provider (IdP). For private workforces created using Amazon Cognito use
CognitoMemberDefinition
. For workforces created using your own OIDC
identity provider (IdP) use OidcMemberDefinition
. You should not
provide input for both of these parameters in a single request.
For workforces created using Amazon Cognito, private work teams
correspond to Amazon Cognito user groups within the user pool used to
create a workforce. All of the CognitoMemberDefinition
objects that
make up the member definition must have the same ClientId
and
UserPool
values. To add a Amazon Cognito user group to an existing
worker pool, see groups to a User Pool. For more information
about user pools, see
Amazon Cognito User Pools.
For workforces created using your own OIDC IdP, specify the user groups
that you want to include in your private work team in
OidcMemberDefinition
by listing those groups in Groups
. Be aware
that user groups that are already in the work team must also be listed
in Groups
when you make this request to remain on the work team. If
you do not include these user groups, they will no longer be associated
with the work team you update.
updateWorkteam_notificationConfiguration :: Lens' UpdateWorkteam (Maybe NotificationConfiguration) Source #
Configures SNS topic notifications for available or expiring work items
updateWorkteam_workteamName :: Lens' UpdateWorkteam Text Source #
The name of the work team to update.
updateWorkteamResponse_httpStatus :: Lens' UpdateWorkteamResponse Int Source #
The response's http status code.
updateWorkteamResponse_workteam :: Lens' UpdateWorkteamResponse Workteam Source #
A Workteam
object that describes the updated work team.
Types
ActionSource
actionSource_sourceId :: Lens' ActionSource (Maybe Text) Source #
The ID of the source.
actionSource_sourceType :: Lens' ActionSource (Maybe Text) Source #
The type of the source.
actionSource_sourceUri :: Lens' ActionSource Text Source #
The URI of the source.
ActionSummary
actionSummary_actionArn :: Lens' ActionSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the action.
actionSummary_actionName :: Lens' ActionSummary (Maybe Text) Source #
The name of the action.
actionSummary_actionType :: Lens' ActionSummary (Maybe Text) Source #
The type of the action.
actionSummary_creationTime :: Lens' ActionSummary (Maybe UTCTime) Source #
When the action was created.
actionSummary_lastModifiedTime :: Lens' ActionSummary (Maybe UTCTime) Source #
When the action was last modified.
actionSummary_source :: Lens' ActionSummary (Maybe ActionSource) Source #
The source of the action.
actionSummary_status :: Lens' ActionSummary (Maybe ActionStatus) Source #
The status of the action.
AdditionalInferenceSpecificationDefinition
additionalInferenceSpecificationDefinition_description :: Lens' AdditionalInferenceSpecificationDefinition (Maybe Text) Source #
A description of the additional Inference specification
additionalInferenceSpecificationDefinition_supportedContentTypes :: Lens' AdditionalInferenceSpecificationDefinition (Maybe [Text]) Source #
The supported MIME types for the input data.
additionalInferenceSpecificationDefinition_supportedRealtimeInferenceInstanceTypes :: Lens' AdditionalInferenceSpecificationDefinition (Maybe [ProductionVariantInstanceType]) Source #
A list of the instance types that are used to generate inferences in real-time.
additionalInferenceSpecificationDefinition_supportedResponseMIMETypes :: Lens' AdditionalInferenceSpecificationDefinition (Maybe [Text]) Source #
The supported MIME types for the output data.
additionalInferenceSpecificationDefinition_supportedTransformInstanceTypes :: Lens' AdditionalInferenceSpecificationDefinition (Maybe (NonEmpty TransformInstanceType)) Source #
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
additionalInferenceSpecificationDefinition_name :: Lens' AdditionalInferenceSpecificationDefinition Text Source #
A unique name to identify the additional inference specification. The name must be unique within the list of your additional inference specifications for a particular model package.
additionalInferenceSpecificationDefinition_containers :: Lens' AdditionalInferenceSpecificationDefinition (NonEmpty ModelPackageContainerDefinition) Source #
The Amazon ECR registry path of the Docker image that contains the inference code.
AgentVersion
agentVersion_version :: Lens' AgentVersion Text Source #
Version of the agent.
agentVersion_agentCount :: Lens' AgentVersion Integer Source #
The number of Edge Manager agents.
Alarm
AlgorithmSpecification
algorithmSpecification_algorithmName :: Lens' AlgorithmSpecification (Maybe Text) Source #
The name of the algorithm resource to use for the training job. This must be an algorithm resource that you created or subscribe to on Amazon Web Services Marketplace.
You must specify either the algorithm name to the AlgorithmName
parameter or the image URI of the algorithm container to the
TrainingImage
parameter.
Note that the AlgorithmName
parameter is mutually exclusive with the
TrainingImage
parameter. If you specify a value for the
AlgorithmName
parameter, you can't specify a value for
TrainingImage
, and vice versa.
If you specify values for both parameters, the training job might break;
if you don't specify any value for both parameters, the training job
might raise a null
error.
algorithmSpecification_containerArguments :: Lens' AlgorithmSpecification (Maybe (NonEmpty Text)) Source #
The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information.
algorithmSpecification_containerEntrypoint :: Lens' AlgorithmSpecification (Maybe (NonEmpty Text)) Source #
The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for more information.
algorithmSpecification_enableSageMakerMetricsTimeSeries :: Lens' AlgorithmSpecification (Maybe Bool) Source #
To generate and save time-series metrics during training, set to true
.
The default is false
and time-series metrics aren't generated except
in the following cases:
- You use one of the SageMaker built-in algorithms
You use one of the following Prebuilt SageMaker Docker Images:
- Tensorflow (version >= 1.15)
- MXNet (version >= 1.6)
- PyTorch (version >= 1.3)
- You specify at least one MetricDefinition
algorithmSpecification_metricDefinitions :: Lens' AlgorithmSpecification (Maybe [MetricDefinition]) Source #
A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. SageMaker publishes each metric to Amazon CloudWatch.
algorithmSpecification_trainingImage :: Lens' AlgorithmSpecification (Maybe Text) Source #
The registry path of the Docker image that contains the training
algorithm. For information about docker registry paths for SageMaker
built-in algorithms, see
Docker Registry Paths and Example Code
in the Amazon SageMaker developer guide. SageMaker supports both
registry/repository[:tag]
and registry/repository[@digest]
image
path formats. For more information about using your custom training
container, see
Using Your Own Algorithms with Amazon SageMaker.
You must specify either the algorithm name to the AlgorithmName
parameter or the image URI of the algorithm container to the
TrainingImage
parameter.
For more information, see the note in the AlgorithmName
parameter
description.
algorithmSpecification_trainingInputMode :: Lens' AlgorithmSpecification TrainingInputMode Source #
Undocumented member.
AlgorithmStatusDetails
algorithmStatusDetails_imageScanStatuses :: Lens' AlgorithmStatusDetails (Maybe [AlgorithmStatusItem]) Source #
The status of the scan of the algorithm's Docker image container.
algorithmStatusDetails_validationStatuses :: Lens' AlgorithmStatusDetails (Maybe [AlgorithmStatusItem]) Source #
The status of algorithm validation.
AlgorithmStatusItem
algorithmStatusItem_failureReason :: Lens' AlgorithmStatusItem (Maybe Text) Source #
if the overall status is Failed
, the reason for the failure.
algorithmStatusItem_name :: Lens' AlgorithmStatusItem Text Source #
The name of the algorithm for which the overall status is being reported.
algorithmStatusItem_status :: Lens' AlgorithmStatusItem DetailedAlgorithmStatus Source #
The current status.
AlgorithmSummary
algorithmSummary_algorithmDescription :: Lens' AlgorithmSummary (Maybe Text) Source #
A brief description of the algorithm.
algorithmSummary_algorithmName :: Lens' AlgorithmSummary Text Source #
The name of the algorithm that is described by the summary.
algorithmSummary_algorithmArn :: Lens' AlgorithmSummary Text Source #
The Amazon Resource Name (ARN) of the algorithm.
algorithmSummary_creationTime :: Lens' AlgorithmSummary UTCTime Source #
A timestamp that shows when the algorithm was created.
algorithmSummary_algorithmStatus :: Lens' AlgorithmSummary AlgorithmStatus Source #
The overall status of the algorithm.
AlgorithmValidationProfile
algorithmValidationProfile_transformJobDefinition :: Lens' AlgorithmValidationProfile (Maybe TransformJobDefinition) Source #
The TransformJobDefinition
object that describes the transform job
that SageMaker runs to validate your algorithm.
algorithmValidationProfile_profileName :: Lens' AlgorithmValidationProfile Text Source #
The name of the profile for the algorithm. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
algorithmValidationProfile_trainingJobDefinition :: Lens' AlgorithmValidationProfile TrainingJobDefinition Source #
The TrainingJobDefinition
object that describes the training job that
SageMaker runs to validate your algorithm.
AlgorithmValidationSpecification
algorithmValidationSpecification_validationRole :: Lens' AlgorithmValidationSpecification Text Source #
The IAM roles that SageMaker uses to run the training jobs.
algorithmValidationSpecification_validationProfiles :: Lens' AlgorithmValidationSpecification (NonEmpty AlgorithmValidationProfile) Source #
An array of AlgorithmValidationProfile
objects, each of which
specifies a training job and batch transform job that SageMaker runs to
validate your algorithm.
AnnotationConsolidationConfig
annotationConsolidationConfig_annotationConsolidationLambdaArn :: Lens' AnnotationConsolidationConfig Text Source #
The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data.
This parameter is required for all labeling jobs. For
built-in task types,
use one of the following Amazon SageMaker Ground Truth Lambda function
ARNs for AnnotationConsolidationLambdaArn
. For custom labeling
workflows, see
Post-annotation Lambda.
Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.
arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox
arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox
arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox
Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass
arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass
arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass
Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClassMultiLabel
Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation
Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass
arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass
arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass
Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel
Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition
arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition
arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition
arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition
Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoMultiClass
arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoMultiClass
arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoMultiClass
Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectDetection
Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectTracking
3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectDetection
3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.
arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectTracking
3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.
arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation
Use the following ARNs for Label Verification and Adjustment Jobs
Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .
Semantic Segmentation Adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation
Semantic Segmentation Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation
Bounding Box Adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox
Bounding Box Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox
Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectDetection
Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectTracking
3D Point Cloud Object Detection Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects in a 3D point cloud.
arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection
3D Point Cloud Object Tracking Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects that appear in a sequence of 3D point cloud frames.
arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking
3D Point Cloud Semantic Segmentation Adjustment - Use this task type when you want workers to adjust a point-level semantic segmentation masks using a paint tool.
arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation
AppDetails
appDetails_appName :: Lens' AppDetails (Maybe Text) Source #
The name of the app.
appDetails_appType :: Lens' AppDetails (Maybe AppType) Source #
The type of app.
appDetails_creationTime :: Lens' AppDetails (Maybe UTCTime) Source #
The creation time.
appDetails_domainId :: Lens' AppDetails (Maybe Text) Source #
The domain ID.
appDetails_spaceName :: Lens' AppDetails (Maybe Text) Source #
The name of the space.
appDetails_status :: Lens' AppDetails (Maybe AppStatus) Source #
The status.
appDetails_userProfileName :: Lens' AppDetails (Maybe Text) Source #
The user profile name.
AppImageConfigDetails
appImageConfigDetails_appImageConfigArn :: Lens' AppImageConfigDetails (Maybe Text) Source #
The Amazon Resource Name (ARN) of the AppImageConfig.
appImageConfigDetails_appImageConfigName :: Lens' AppImageConfigDetails (Maybe Text) Source #
The name of the AppImageConfig. Must be unique to your account.
appImageConfigDetails_creationTime :: Lens' AppImageConfigDetails (Maybe UTCTime) Source #
When the AppImageConfig was created.
appImageConfigDetails_kernelGatewayImageConfig :: Lens' AppImageConfigDetails (Maybe KernelGatewayImageConfig) Source #
The configuration for the file system and kernels in the SageMaker image.
appImageConfigDetails_lastModifiedTime :: Lens' AppImageConfigDetails (Maybe UTCTime) Source #
When the AppImageConfig was last modified.
AppSpecification
appSpecification_containerArguments :: Lens' AppSpecification (Maybe (NonEmpty Text)) Source #
The arguments for a container used to run a processing job.
appSpecification_containerEntrypoint :: Lens' AppSpecification (Maybe (NonEmpty Text)) Source #
The entrypoint for a container used to run a processing job.
appSpecification_imageUri :: Lens' AppSpecification Text Source #
The container image to be run by the processing job.
ArtifactSource
artifactSource_sourceTypes :: Lens' ArtifactSource (Maybe [ArtifactSourceType]) Source #
A list of source types.
artifactSource_sourceUri :: Lens' ArtifactSource Text Source #
The URI of the source.
ArtifactSourceType
artifactSourceType_sourceIdType :: Lens' ArtifactSourceType ArtifactSourceIdType Source #
The type of ID.
artifactSourceType_value :: Lens' ArtifactSourceType Text Source #
The ID.
ArtifactSummary
artifactSummary_artifactArn :: Lens' ArtifactSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the artifact.
artifactSummary_artifactName :: Lens' ArtifactSummary (Maybe Text) Source #
The name of the artifact.
artifactSummary_artifactType :: Lens' ArtifactSummary (Maybe Text) Source #
The type of the artifact.
artifactSummary_creationTime :: Lens' ArtifactSummary (Maybe UTCTime) Source #
When the artifact was created.
artifactSummary_lastModifiedTime :: Lens' ArtifactSummary (Maybe UTCTime) Source #
When the artifact was last modified.
artifactSummary_source :: Lens' ArtifactSummary (Maybe ArtifactSource) Source #
The source of the artifact.
AssociationSummary
associationSummary_associationType :: Lens' AssociationSummary (Maybe AssociationEdgeType) Source #
The type of the association.
associationSummary_createdBy :: Lens' AssociationSummary (Maybe UserContext) Source #
Undocumented member.
associationSummary_creationTime :: Lens' AssociationSummary (Maybe UTCTime) Source #
When the association was created.
associationSummary_destinationArn :: Lens' AssociationSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the destination.
associationSummary_destinationName :: Lens' AssociationSummary (Maybe Text) Source #
The name of the destination.
associationSummary_destinationType :: Lens' AssociationSummary (Maybe Text) Source #
The destination type.
associationSummary_sourceArn :: Lens' AssociationSummary (Maybe Text) Source #
The ARN of the source.
associationSummary_sourceName :: Lens' AssociationSummary (Maybe Text) Source #
The name of the source.
associationSummary_sourceType :: Lens' AssociationSummary (Maybe Text) Source #
The source type.
AsyncInferenceClientConfig
asyncInferenceClientConfig_maxConcurrentInvocationsPerInstance :: Lens' AsyncInferenceClientConfig (Maybe Natural) Source #
The maximum number of concurrent requests sent by the SageMaker client to the model container. If no value is provided, SageMaker chooses an optimal value.
AsyncInferenceConfig
asyncInferenceConfig_clientConfig :: Lens' AsyncInferenceConfig (Maybe AsyncInferenceClientConfig) Source #
Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous inference.
asyncInferenceConfig_outputConfig :: Lens' AsyncInferenceConfig AsyncInferenceOutputConfig Source #
Specifies the configuration for asynchronous inference invocation outputs.
AsyncInferenceNotificationConfig
asyncInferenceNotificationConfig_errorTopic :: Lens' AsyncInferenceNotificationConfig (Maybe Text) Source #
Amazon SNS topic to post a notification to when inference fails. If no topic is provided, no notification is sent on failure.
asyncInferenceNotificationConfig_successTopic :: Lens' AsyncInferenceNotificationConfig (Maybe Text) Source #
Amazon SNS topic to post a notification to when inference completes successfully. If no topic is provided, no notification is sent on success.
AsyncInferenceOutputConfig
asyncInferenceOutputConfig_kmsKeyId :: Lens' AsyncInferenceOutputConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the asynchronous inference output in Amazon S3.
asyncInferenceOutputConfig_notificationConfig :: Lens' AsyncInferenceOutputConfig (Maybe AsyncInferenceNotificationConfig) Source #
Specifies the configuration for notifications of inference results for asynchronous inference.
asyncInferenceOutputConfig_s3OutputPath :: Lens' AsyncInferenceOutputConfig Text Source #
The Amazon S3 location to upload inference responses to.
AthenaDatasetDefinition
athenaDatasetDefinition_kmsKeyId :: Lens' AthenaDatasetDefinition (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data generated from an Athena query execution.
athenaDatasetDefinition_outputCompression :: Lens' AthenaDatasetDefinition (Maybe AthenaResultCompressionType) Source #
Undocumented member.
athenaDatasetDefinition_workGroup :: Lens' AthenaDatasetDefinition (Maybe Text) Source #
Undocumented member.
athenaDatasetDefinition_catalog :: Lens' AthenaDatasetDefinition Text Source #
Undocumented member.
athenaDatasetDefinition_database :: Lens' AthenaDatasetDefinition Text Source #
Undocumented member.
athenaDatasetDefinition_queryString :: Lens' AthenaDatasetDefinition Text Source #
Undocumented member.
athenaDatasetDefinition_outputS3Uri :: Lens' AthenaDatasetDefinition Text Source #
The location in Amazon S3 where Athena query results are stored.
athenaDatasetDefinition_outputFormat :: Lens' AthenaDatasetDefinition AthenaResultFormat Source #
Undocumented member.
AutoMLCandidate
autoMLCandidate_candidateProperties :: Lens' AutoMLCandidate (Maybe CandidateProperties) Source #
The properties of an AutoML candidate job.
autoMLCandidate_endTime :: Lens' AutoMLCandidate (Maybe UTCTime) Source #
The end time.
autoMLCandidate_failureReason :: Lens' AutoMLCandidate (Maybe Text) Source #
The failure reason.
autoMLCandidate_finalAutoMLJobObjectiveMetric :: Lens' AutoMLCandidate (Maybe FinalAutoMLJobObjectiveMetric) Source #
Undocumented member.
autoMLCandidate_inferenceContainers :: Lens' AutoMLCandidate (Maybe [AutoMLContainerDefinition]) Source #
Information about the inference container definitions.
autoMLCandidate_candidateName :: Lens' AutoMLCandidate Text Source #
The name of the candidate.
autoMLCandidate_objectiveStatus :: Lens' AutoMLCandidate ObjectiveStatus Source #
The objective's status.
autoMLCandidate_candidateSteps :: Lens' AutoMLCandidate [AutoMLCandidateStep] Source #
Information about the candidate's steps.
autoMLCandidate_candidateStatus :: Lens' AutoMLCandidate CandidateStatus Source #
The candidate's status.
autoMLCandidate_creationTime :: Lens' AutoMLCandidate UTCTime Source #
The creation time.
autoMLCandidate_lastModifiedTime :: Lens' AutoMLCandidate UTCTime Source #
The last modified time.
AutoMLCandidateGenerationConfig
autoMLCandidateGenerationConfig_featureSpecificationS3Uri :: Lens' AutoMLCandidateGenerationConfig (Maybe Text) Source #
A URL to the Amazon S3 data source containing selected features from the
input data source to run an Autopilot job. You can input
FeatureAttributeNames
(optional) in JSON format as shown below:
{ "FeatureAttributeNames":["col1", "col2", ...] }
.
You can also specify the data type of the feature (optional) in the format shown below:
{ "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }
These column keys may not include the target column.
In ensembling mode, Autopilot will only support the following data
types: numeric
, categorical
, text
and datetime
. In HPO mode,
Autopilot can support numeric
, categorical
, text
, datetime
and
sequence
.
If only FeatureDataTypes
is provided, the column keys (col1
,
col2
,..) should be a subset of the column names in the input data.
If both FeatureDataTypes
and FeatureAttributeNames
are provided,
then the column keys should be a subset of the column names provided in
FeatureAttributeNames
.
The key name FeatureAttributeNames
is fixed. The values listed in
["col1", "col2", ...]
is case sensitive and should be a list of
strings containing unique values that are a subset of the column names
in the input data. The list of columns provided must not include the
target column.
AutoMLCandidateStep
autoMLCandidateStep_candidateStepType :: Lens' AutoMLCandidateStep CandidateStepType Source #
Whether the candidate is at the transform, training, or processing step.
autoMLCandidateStep_candidateStepArn :: Lens' AutoMLCandidateStep Text Source #
The ARN for the candidate's step.
autoMLCandidateStep_candidateStepName :: Lens' AutoMLCandidateStep Text Source #
The name for the candidate's step.
AutoMLChannel
autoMLChannel_channelType :: Lens' AutoMLChannel (Maybe AutoMLChannelType) Source #
The channel type (optional) is an enum
string. The default value is
training
. Channels for training and validation must share the same
ContentType
and TargetAttributeName
. For information on specifying
training and validation channel types, see
How to specify training and validation datasets
.
autoMLChannel_compressionType :: Lens' AutoMLChannel (Maybe CompressionType) Source #
You can use Gzip
or None
. The default value is None
.
autoMLChannel_contentType :: Lens' AutoMLChannel (Maybe Text) Source #
The content type of the data from the input source. You can use
text/csv;header=present
or x-application/vnd.amazon+parquet
. The
default value is text/csv;header=present
.
autoMLChannel_dataSource :: Lens' AutoMLChannel AutoMLDataSource Source #
The data source for an AutoML channel.
autoMLChannel_targetAttributeName :: Lens' AutoMLChannel Text Source #
The name of the target variable in supervised learning, usually represented by 'y'.
AutoMLContainerDefinition
autoMLContainerDefinition_environment :: Lens' AutoMLContainerDefinition (Maybe (HashMap Text Text)) Source #
The environment variables to set in the container. For more information, see .
autoMLContainerDefinition_image :: Lens' AutoMLContainerDefinition Text Source #
The Amazon Elastic Container Registry (Amazon ECR) path of the container. For more information, see .
autoMLContainerDefinition_modelDataUrl :: Lens' AutoMLContainerDefinition Text Source #
The location of the model artifacts. For more information, see .
AutoMLDataSource
autoMLDataSource_s3DataSource :: Lens' AutoMLDataSource AutoMLS3DataSource Source #
The Amazon S3 location of the input data.
AutoMLDataSplitConfig
autoMLDataSplitConfig_validationFraction :: Lens' AutoMLDataSplitConfig (Maybe Double) Source #
The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.
AutoMLJobArtifacts
autoMLJobArtifacts_candidateDefinitionNotebookLocation :: Lens' AutoMLJobArtifacts (Maybe Text) Source #
The URL of the notebook location.
autoMLJobArtifacts_dataExplorationNotebookLocation :: Lens' AutoMLJobArtifacts (Maybe Text) Source #
The URL of the notebook location.
AutoMLJobCompletionCriteria
autoMLJobCompletionCriteria_maxAutoMLJobRuntimeInSeconds :: Lens' AutoMLJobCompletionCriteria (Maybe Natural) Source #
The maximum runtime, in seconds, an AutoML job has to complete.
If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, will not be completed.
autoMLJobCompletionCriteria_maxCandidates :: Lens' AutoMLJobCompletionCriteria (Maybe Natural) Source #
The maximum number of times a training job is allowed to run.
autoMLJobCompletionCriteria_maxRuntimePerTrainingJobInSeconds :: Lens' AutoMLJobCompletionCriteria (Maybe Natural) Source #
The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as part of a hyperparameter tuning job. For more information, see the used by the action.
AutoMLJobConfig
autoMLJobConfig_candidateGenerationConfig :: Lens' AutoMLJobConfig (Maybe AutoMLCandidateGenerationConfig) Source #
The configuration for generating a candidate for an AutoML job (optional).
autoMLJobConfig_completionCriteria :: Lens' AutoMLJobConfig (Maybe AutoMLJobCompletionCriteria) Source #
How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.
autoMLJobConfig_dataSplitConfig :: Lens' AutoMLJobConfig (Maybe AutoMLDataSplitConfig) Source #
The configuration for splitting the input training dataset.
Type: AutoMLDataSplitConfig
autoMLJobConfig_mode :: Lens' AutoMLJobConfig (Maybe AutoMLMode) Source #
The method that Autopilot uses to train the data. You can either specify
the mode manually or let Autopilot choose for you based on the dataset
size by selecting AUTO
. In AUTO
mode, Autopilot chooses ENSEMBLING
for datasets smaller than 100 MB, and HYPERPARAMETER_TUNING
for larger
ones.
The ENSEMBLING
mode uses a multi-stack ensemble model to predict
classification and regression tasks directly from your dataset. This
machine learning mode combines several base models to produce an optimal
predictive model. It then uses a stacking ensemble method to combine
predictions from contributing members. A multi-stack ensemble model can
provide better performance over a single model by combining the
predictive capabilities of multiple models. See
Autopilot algorithm support
for a list of algorithms supported by ENSEMBLING
mode.
The HYPERPARAMETER_TUNING
(HPO) mode uses the best hyperparameters to
train the best version of a model. HPO will automatically select an
algorithm for the type of problem you want to solve. Then HPO finds the
best hyperparameters according to your objective metric. See
Autopilot algorithm support
for a list of algorithms supported by HYPERPARAMETER_TUNING
mode.
autoMLJobConfig_securityConfig :: Lens' AutoMLJobConfig (Maybe AutoMLSecurityConfig) Source #
The security configuration for traffic encryption or Amazon VPC settings.
AutoMLJobObjective
autoMLJobObjective_metricName :: Lens' AutoMLJobObjective AutoMLMetricEnum Source #
The name of the objective metric used to measure the predictive quality of a machine learning system. This metric is optimized during training to provide the best estimate for model parameter values from data.
Here are the options:
- Accuracy
- The ratio of the number of correctly classified items to the total number of (correctly and incorrectly) classified items. It is used for both binary and multiclass classification. Accuracy measures how close the predicted class values are to the actual values. Values for accuracy metrics vary between zero (0) and one (1). A value of 1 indicates perfect accuracy, and 0 indicates perfect inaccuracy.
- AUC
- The area under the curve (AUC) metric is used to compare and
evaluate binary classification by algorithms that return
probabilities, such as logistic regression. To map the probabilities
into classifications, these are compared against a threshold value.
The relevant curve is the receiver operating characteristic curve (ROC curve). The ROC curve plots the true positive rate (TPR) of predictions (or recall) against the false positive rate (FPR) as a function of the threshold value, above which a prediction is considered positive. Increasing the threshold results in fewer false positives, but more false negatives.
AUC is the area under this ROC curve. Therefore, AUC provides an aggregated measure of the model performance across all possible classification thresholds. AUC scores vary between 0 and 1. A score of 1 indicates perfect accuracy, and a score of one half (0.5) indicates that the prediction is not better than a random classifier.
- BalancedAccuracy
BalancedAccuracy
is a metric that measures the ratio of accurate predictions to all predictions. This ratio is calculated after normalizing true positives (TP) and true negatives (TN) by the total number of positive (P) and negative (N) values. It is used in both binary and multiclass classification and is defined as follows: 0.5*((TP/P)+(TN/N)), with values ranging from 0 to 1.BalancedAccuracy
gives a better measure of accuracy when the number of positives or negatives differ greatly from each other in an imbalanced dataset. For example, when only 1% of email is spam.- F1
- The
F1
score is the harmonic mean of the precision and recall, defined as follows: F1 = 2 * (precision * recall) / (precision + recall). It is used for binary classification into classes traditionally referred to as positive and negative. Predictions are said to be true when they match their actual (correct) class, and false when they do not.Precision is the ratio of the true positive predictions to all positive predictions, and it includes the false positives in a dataset. Precision measures the quality of the prediction when it predicts the positive class.
Recall (or sensitivity) is the ratio of the true positive predictions to all actual positive instances. Recall measures how completely a model predicts the actual class members in a dataset.
F1 scores vary between 0 and 1. A score of 1 indicates the best possible performance, and 0 indicates the worst.
- F1macro
- The
F1macro
score applies F1 scoring to multiclass classification problems. It does this by calculating the precision and recall, and then taking their harmonic mean to calculate the F1 score for each class. Lastly, the F1macro averages the individual scores to obtain theF1macro
score.F1macro
scores vary between 0 and 1. A score of 1 indicates the best possible performance, and 0 indicates the worst. - MAE
- The mean absolute error (MAE) is a measure of how different the predicted and actual values are, when they're averaged over all values. MAE is commonly used in regression analysis to understand model prediction error. If there is linear regression, MAE represents the average distance from a predicted line to the actual value. MAE is defined as the sum of absolute errors divided by the number of observations. Values range from 0 to infinity, with smaller numbers indicating a better model fit to the data.
- MSE
- The mean squared error (MSE) is the average of the squared differences between the predicted and actual values. It is used for regression. MSE values are always positive. The better a model is at predicting the actual values, the smaller the MSE value is
- Precision
- Precision measures how well an algorithm predicts the true positives (TP) out of all of the positives that it identifies. It is defined as follows: Precision = TP/(TP+FP), with values ranging from zero (0) to one (1), and is used in binary classification. Precision is an important metric when the cost of a false positive is high. For example, the cost of a false positive is very high if an airplane safety system is falsely deemed safe to fly. A false positive (FP) reflects a positive prediction that is actually negative in the data.
- PrecisionMacro
- The precision macro computes precision for multiclass classification
problems. It does this by calculating precision for each class and
averaging scores to obtain precision for several classes.
PrecisionMacro
scores range from zero (0) to one (1). Higher scores reflect the model's ability to predict true positives (TP) out of all of the positives that it identifies, averaged across multiple classes. - R2
- R2, also known as the coefficient of determination, is used in
regression to quantify how much a model can explain the variance of
a dependent variable. Values range from one (1) to negative one
(-1). Higher numbers indicate a higher fraction of explained
variability.
R2
values close to zero (0) indicate that very little of the dependent variable can be explained by the model. Negative values indicate a poor fit and that the model is outperformed by a constant function. For linear regression, this is a horizontal line. - Recall
- Recall measures how well an algorithm correctly predicts all of the
true positives (TP) in a dataset. A true positive is a positive
prediction that is also an actual positive value in the data. Recall
is defined as follows: Recall = TP/(TP+FN), with values ranging
from 0 to 1. Higher scores reflect a better ability of the model to
predict true positives (TP) in the data, and is used in binary
classification.
Recall is important when testing for cancer because it's used to find all of the true positives. A false positive (FP) reflects a positive prediction that is actually negative in the data. It is often insufficient to measure only recall, because predicting every output as a true positive will yield a perfect recall score.
- RecallMacro
- The RecallMacro computes recall for multiclass classification problems by calculating recall for each class and averaging scores to obtain recall for several classes. RecallMacro scores range from 0 to 1. Higher scores reflect the model's ability to predict true positives (TP) in a dataset. Whereas, a true positive reflects a positive prediction that is also an actual positive value in the data. It is often insufficient to measure only recall, because predicting every output as a true positive will yield a perfect recall score.
- RMSE
- Root mean squared error (RMSE) measures the square root of the squared difference between predicted and actual values, and it's averaged over all values. It is used in regression analysis to understand model prediction error. It's an important metric to indicate the presence of large model errors and outliers. Values range from zero (0) to infinity, with smaller numbers indicating a better model fit to the data. RMSE is dependent on scale, and should not be used to compare datasets of different sizes.
If you do not specify a metric explicitly, the default behavior is to automatically use:
MSE
: for regression.F1
: for binary classificationAccuracy
: for multiclass classification.
AutoMLJobStepMetadata
autoMLJobStepMetadata_arn :: Lens' AutoMLJobStepMetadata (Maybe Text) Source #
The Amazon Resource Name (ARN) of the AutoML job.
AutoMLJobSummary
autoMLJobSummary_endTime :: Lens' AutoMLJobSummary (Maybe UTCTime) Source #
The end time of an AutoML job.
autoMLJobSummary_failureReason :: Lens' AutoMLJobSummary (Maybe Text) Source #
The failure reason of an AutoML job.
autoMLJobSummary_partialFailureReasons :: Lens' AutoMLJobSummary (Maybe (NonEmpty AutoMLPartialFailureReason)) Source #
The list of reasons for partial failures within an AutoML job.
autoMLJobSummary_autoMLJobName :: Lens' AutoMLJobSummary Text Source #
The name of the AutoML job you are requesting.
autoMLJobSummary_autoMLJobArn :: Lens' AutoMLJobSummary Text Source #
The ARN of the AutoML job.
autoMLJobSummary_autoMLJobStatus :: Lens' AutoMLJobSummary AutoMLJobStatus Source #
The status of the AutoML job.
autoMLJobSummary_autoMLJobSecondaryStatus :: Lens' AutoMLJobSummary AutoMLJobSecondaryStatus Source #
The secondary status of the AutoML job.
autoMLJobSummary_creationTime :: Lens' AutoMLJobSummary UTCTime Source #
When the AutoML job was created.
autoMLJobSummary_lastModifiedTime :: Lens' AutoMLJobSummary UTCTime Source #
When the AutoML job was last modified.
AutoMLOutputDataConfig
autoMLOutputDataConfig_kmsKeyId :: Lens' AutoMLOutputDataConfig (Maybe Text) Source #
The Key Management Service (KMS) encryption key ID.
autoMLOutputDataConfig_s3OutputPath :: Lens' AutoMLOutputDataConfig Text Source #
The Amazon S3 output path. Must be 128 characters or less.
AutoMLPartialFailureReason
autoMLPartialFailureReason_partialFailureMessage :: Lens' AutoMLPartialFailureReason (Maybe Text) Source #
The message containing the reason for a partial failure of an AutoML job.
AutoMLS3DataSource
autoMLS3DataSource_s3DataType :: Lens' AutoMLS3DataSource AutoMLS3DataType Source #
The data type.
A ManifestFile should have the format shown below:
[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"},
"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",
"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",
... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]
An S3Prefix should have the following format:
s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE
autoMLS3DataSource_s3Uri :: Lens' AutoMLS3DataSource Text Source #
The URL to the Amazon S3 data source.
AutoMLSecurityConfig
autoMLSecurityConfig_enableInterContainerTrafficEncryption :: Lens' AutoMLSecurityConfig (Maybe Bool) Source #
Whether to use traffic encryption between the container layers.
autoMLSecurityConfig_volumeKmsKeyId :: Lens' AutoMLSecurityConfig (Maybe Text) Source #
The key used to encrypt stored data.
autoMLSecurityConfig_vpcConfig :: Lens' AutoMLSecurityConfig (Maybe VpcConfig) Source #
The VPC configuration.
AutoRollbackConfig
autoRollbackConfig_alarms :: Lens' AutoRollbackConfig (Maybe (NonEmpty Alarm)) Source #
List of CloudWatch alarms in your account that are configured to monitor metrics on an endpoint. If any alarms are tripped during a deployment, SageMaker rolls back the deployment.
BatchDataCaptureConfig
batchDataCaptureConfig_generateInferenceId :: Lens' BatchDataCaptureConfig (Maybe Bool) Source #
Flag that indicates whether to append inference id to the output.
batchDataCaptureConfig_kmsKeyId :: Lens' BatchDataCaptureConfig (Maybe Text) Source #
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the batch transform job.
The KmsKeyId can be any of the following formats:
- Key ID:
1234abcd-12ab-34cd-56ef-1234567890ab
- Key ARN:
arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
- Alias name:
alias/ExampleAlias
- Alias name ARN:
arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
batchDataCaptureConfig_destinationS3Uri :: Lens' BatchDataCaptureConfig Text Source #
The Amazon S3 location being used to capture the data.
BatchDescribeModelPackageError
BatchDescribeModelPackageSummary
batchDescribeModelPackageSummary_modelApprovalStatus :: Lens' BatchDescribeModelPackageSummary (Maybe ModelApprovalStatus) Source #
The approval status of the model.
batchDescribeModelPackageSummary_modelPackageDescription :: Lens' BatchDescribeModelPackageSummary (Maybe Text) Source #
The description of the model package.
batchDescribeModelPackageSummary_modelPackageVersion :: Lens' BatchDescribeModelPackageSummary (Maybe Natural) Source #
The version number of a versioned model.
batchDescribeModelPackageSummary_modelPackageGroupName :: Lens' BatchDescribeModelPackageSummary Text Source #
The group name for the model package
batchDescribeModelPackageSummary_modelPackageArn :: Lens' BatchDescribeModelPackageSummary Text Source #
The Amazon Resource Name (ARN) of the model package.
batchDescribeModelPackageSummary_creationTime :: Lens' BatchDescribeModelPackageSummary UTCTime Source #
The creation time of the mortgage package summary.
batchDescribeModelPackageSummary_inferenceSpecification :: Lens' BatchDescribeModelPackageSummary InferenceSpecification Source #
Undocumented member.
batchDescribeModelPackageSummary_modelPackageStatus :: Lens' BatchDescribeModelPackageSummary ModelPackageStatus Source #
The status of the mortgage package.
BatchTransformInput
batchTransformInput_endTimeOffset :: Lens' BatchTransformInput (Maybe Text) Source #
If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
batchTransformInput_featuresAttribute :: Lens' BatchTransformInput (Maybe Text) Source #
The attributes of the input data that are the input features.
batchTransformInput_inferenceAttribute :: Lens' BatchTransformInput (Maybe Text) Source #
The attribute of the input data that represents the ground truth label.
batchTransformInput_probabilityAttribute :: Lens' BatchTransformInput (Maybe Text) Source #
In a classification problem, the attribute that represents the class probability.
batchTransformInput_probabilityThresholdAttribute :: Lens' BatchTransformInput (Maybe Double) Source #
The threshold for the class probability to be evaluated as a positive result.
batchTransformInput_s3DataDistributionType :: Lens' BatchTransformInput (Maybe ProcessingS3DataDistributionType) Source #
Whether input data distributed in Amazon S3 is fully replicated or
sharded by an S3 key. Defaults to FullyReplicated
batchTransformInput_s3InputMode :: Lens' BatchTransformInput (Maybe ProcessingS3InputMode) Source #
Whether the Pipe
or File
is used as the input mode for transferring
data for the monitoring job. Pipe
mode is recommended for large
datasets. File
mode is useful for small files that fit in memory.
Defaults to File
.
batchTransformInput_startTimeOffset :: Lens' BatchTransformInput (Maybe Text) Source #
If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
batchTransformInput_dataCapturedDestinationS3Uri :: Lens' BatchTransformInput Text Source #
The Amazon S3 location being used to capture the data.
batchTransformInput_datasetFormat :: Lens' BatchTransformInput MonitoringDatasetFormat Source #
The dataset format for your batch transform job.
batchTransformInput_localPath :: Lens' BatchTransformInput Text Source #
Path to the filesystem where the batch transform data is available to the container.
Bias
bias_postTrainingReport :: Lens' Bias (Maybe MetricsSource) Source #
The post-training bias report for a model.
bias_preTrainingReport :: Lens' Bias (Maybe MetricsSource) Source #
The pre-training bias report for a model.
bias_report :: Lens' Bias (Maybe MetricsSource) Source #
The bias report for a model
BlueGreenUpdatePolicy
blueGreenUpdatePolicy_maximumExecutionTimeoutInSeconds :: Lens' BlueGreenUpdatePolicy (Maybe Natural) Source #
Maximum execution timeout for the deployment. Note that the timeout
value should be larger than the total waiting time specified in
TerminationWaitInSeconds
and WaitIntervalInSeconds
.
blueGreenUpdatePolicy_terminationWaitInSeconds :: Lens' BlueGreenUpdatePolicy (Maybe Natural) Source #
Additional waiting time in seconds after the completion of an endpoint deployment before terminating the old endpoint fleet. Default is 0.
blueGreenUpdatePolicy_trafficRoutingConfiguration :: Lens' BlueGreenUpdatePolicy TrafficRoutingConfig Source #
Defines the traffic routing strategy to shift traffic from the old fleet to the new fleet during an endpoint deployment.
CacheHitResult
cacheHitResult_sourcePipelineExecutionArn :: Lens' CacheHitResult (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline execution.
CallbackStepMetadata
callbackStepMetadata_callbackToken :: Lens' CallbackStepMetadata (Maybe Text) Source #
The pipeline generated token from the Amazon SQS queue.
callbackStepMetadata_outputParameters :: Lens' CallbackStepMetadata (Maybe [OutputParameter]) Source #
A list of the output parameters of the callback step.
callbackStepMetadata_sqsQueueUrl :: Lens' CallbackStepMetadata (Maybe Text) Source #
The URL of the Amazon Simple Queue Service (Amazon SQS) queue used by the callback step.
CandidateArtifactLocations
candidateArtifactLocations_modelInsights :: Lens' CandidateArtifactLocations (Maybe Text) Source #
The Amazon S3 prefix to the model insight artifacts generated for the AutoML candidate.
candidateArtifactLocations_explainability :: Lens' CandidateArtifactLocations Text Source #
The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.
CandidateProperties
candidateProperties_candidateArtifactLocations :: Lens' CandidateProperties (Maybe CandidateArtifactLocations) Source #
The Amazon S3 prefix to the artifacts generated for an AutoML candidate.
candidateProperties_candidateMetrics :: Lens' CandidateProperties (Maybe [MetricDatum]) Source #
Information about the candidate metrics for an AutoML job.
CanvasAppSettings
canvasAppSettings_timeSeriesForecastingSettings :: Lens' CanvasAppSettings (Maybe TimeSeriesForecastingSettings) Source #
Time series forecast settings for the Canvas app.
CapacitySize
capacitySize_type :: Lens' CapacitySize CapacitySizeType Source #
Specifies the endpoint capacity type.
INSTANCE_COUNT
: The endpoint activates based on the number of instances.CAPACITY_PERCENT
: The endpoint activates based on the specified percentage of capacity.
capacitySize_value :: Lens' CapacitySize Natural Source #
Defines the capacity size, either as a number of instances or a capacity percentage.
CaptureContentTypeHeader
captureContentTypeHeader_csvContentTypes :: Lens' CaptureContentTypeHeader (Maybe (NonEmpty Text)) Source #
The list of all content type headers that SageMaker will treat as CSV and capture accordingly.
captureContentTypeHeader_jsonContentTypes :: Lens' CaptureContentTypeHeader (Maybe (NonEmpty Text)) Source #
The list of all content type headers that SageMaker will treat as JSON and capture accordingly.
CaptureOption
captureOption_captureMode :: Lens' CaptureOption CaptureMode Source #
Specify the boundary of data to capture.
CategoricalParameter
categoricalParameter_name :: Lens' CategoricalParameter Text Source #
The Name of the environment variable.
categoricalParameter_value :: Lens' CategoricalParameter (NonEmpty Text) Source #
The list of values you can pass.
CategoricalParameterRange
categoricalParameterRange_name :: Lens' CategoricalParameterRange Text Source #
The name of the categorical hyperparameter to tune.
categoricalParameterRange_values :: Lens' CategoricalParameterRange (NonEmpty Text) Source #
A list of the categories for the hyperparameter.
CategoricalParameterRangeSpecification
categoricalParameterRangeSpecification_values :: Lens' CategoricalParameterRangeSpecification (NonEmpty Text) Source #
The allowed categories for the hyperparameter.
Channel
channel_compressionType :: Lens' Channel (Maybe CompressionType) Source #
If training data is compressed, the compression type. The default value
is None
. CompressionType
is used only in Pipe input mode. In File
mode, leave this field unset or set it to None.
channel_inputMode :: Lens' Channel (Maybe TrainingInputMode) Source #
(Optional) The input mode to use for the data channel in a training job.
If you don't set a value for InputMode
, SageMaker uses the value set
for TrainingInputMode
. Use this parameter to override the
TrainingInputMode
setting in a AlgorithmSpecification request when you
have a channel that needs a different input mode from the training
job's general setting. To download the data from Amazon Simple Storage
Service (Amazon S3) to the provisioned ML storage volume, and mount the
directory to a Docker volume, use File
input mode. To stream data
directly from Amazon S3 to the container, choose Pipe
input mode.
To use a model for incremental training, choose File
input model.
channel_recordWrapperType :: Lens' Channel (Maybe RecordWrapper) Source #
Specify RecordIO as the value when input data is in raw format but the training algorithm requires the RecordIO format. In this case, SageMaker wraps each individual S3 object in a RecordIO record. If the input data is already in RecordIO format, you don't need to set this attribute. For more information, see Create a Dataset Using RecordIO.
In File mode, leave this field unset or set it to None.
channel_shuffleConfig :: Lens' Channel (Maybe ShuffleConfig) Source #
A configuration for a shuffle option for input data in a channel. If you
use S3Prefix
for S3DataType
, this shuffles the results of the S3 key
prefix matches. If you use ManifestFile
, the order of the S3 object
references in the ManifestFile
is shuffled. If you use
AugmentedManifestFile
, the order of the JSON lines in the
AugmentedManifestFile
is shuffled. The shuffling order is determined
using the Seed
value.
For Pipe input mode, shuffling is done at the start of every epoch. With
large datasets this ensures that the order of the training data is
different for each epoch, it helps reduce bias and possible overfitting.
In a multi-node training job when ShuffleConfig is combined with
S3DataDistributionType
of ShardedByS3Key
, the data is shuffled
across nodes so that the content sent to a particular node on the first
epoch might be sent to a different node on the second epoch.
channel_dataSource :: Lens' Channel DataSource Source #
The location of the channel data.
ChannelSpecification
channelSpecification_description :: Lens' ChannelSpecification (Maybe Text) Source #
A brief description of the channel.
channelSpecification_isRequired :: Lens' ChannelSpecification (Maybe Bool) Source #
Indicates whether the channel is required by the algorithm.
channelSpecification_supportedCompressionTypes :: Lens' ChannelSpecification (Maybe [CompressionType]) Source #
The allowed compression types, if data compression is used.
channelSpecification_name :: Lens' ChannelSpecification Text Source #
The name of the channel.
channelSpecification_supportedContentTypes :: Lens' ChannelSpecification [Text] Source #
The supported MIME types for the data.
channelSpecification_supportedInputModes :: Lens' ChannelSpecification (NonEmpty TrainingInputMode) Source #
The allowed input mode, either FILE or PIPE.
In FILE mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode.
In PIPE mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
CheckpointConfig
checkpointConfig_localPath :: Lens' CheckpointConfig (Maybe Text) Source #
(Optional) The local directory where checkpoints are written. The
default directory is /opt/ml/checkpoints/
.
checkpointConfig_s3Uri :: Lens' CheckpointConfig Text Source #
Identifies the S3 path where you want SageMaker to store checkpoints.
For example, s3://bucket-name/key-name-prefix
.
ClarifyCheckStepMetadata
clarifyCheckStepMetadata_baselineUsedForDriftCheckConstraints :: Lens' ClarifyCheckStepMetadata (Maybe Text) Source #
The Amazon S3 URI of baseline constraints file to be used for the drift check.
clarifyCheckStepMetadata_calculatedBaselineConstraints :: Lens' ClarifyCheckStepMetadata (Maybe Text) Source #
The Amazon S3 URI of the newly calculated baseline constraints file.
clarifyCheckStepMetadata_checkJobArn :: Lens' ClarifyCheckStepMetadata (Maybe Text) Source #
The Amazon Resource Name (ARN) of the check processing job that was run by this step's execution.
clarifyCheckStepMetadata_checkType :: Lens' ClarifyCheckStepMetadata (Maybe Text) Source #
The type of the Clarify Check step
clarifyCheckStepMetadata_modelPackageGroupName :: Lens' ClarifyCheckStepMetadata (Maybe Text) Source #
The model package group name.
clarifyCheckStepMetadata_registerNewBaseline :: Lens' ClarifyCheckStepMetadata (Maybe Bool) Source #
This flag indicates if a newly calculated baseline can be accessed
through step properties BaselineUsedForDriftCheckConstraints
and
BaselineUsedForDriftCheckStatistics
. If it is set to False
, the
previous baseline of the configured check type must also be available.
These can be accessed through the BaselineUsedForDriftCheckConstraints
property.
clarifyCheckStepMetadata_skipCheck :: Lens' ClarifyCheckStepMetadata (Maybe Bool) Source #
This flag indicates if the drift check against the previous baseline
will be skipped or not. If it is set to False
, the previous baseline
of the configured check type must be available.
clarifyCheckStepMetadata_violationReport :: Lens' ClarifyCheckStepMetadata (Maybe Text) Source #
The Amazon S3 URI of the violation report if violations are detected.
ClarifyExplainerConfig
clarifyExplainerConfig_enableExplanations :: Lens' ClarifyExplainerConfig (Maybe Text) Source #
A JMESPath boolean expression used to filter which records to explain. Explanations are activated by default. See EnableExplanations for additional information.
clarifyExplainerConfig_inferenceConfig :: Lens' ClarifyExplainerConfig (Maybe ClarifyInferenceConfig) Source #
The inference configuration parameter for the model container.
clarifyExplainerConfig_shapConfig :: Lens' ClarifyExplainerConfig ClarifyShapConfig Source #
The configuration for SHAP analysis.
ClarifyInferenceConfig
clarifyInferenceConfig_contentTemplate :: Lens' ClarifyInferenceConfig (Maybe Text) Source #
A template string used to format a JSON record into an acceptable model
container input. For example, a ContentTemplate
string
'{"myfeatures":$features}'
will format a list of features
[1,2,3]
into the record string '{"myfeatures":[1,2,3]}'
.
Required only when the model container input is in JSON Lines format.
clarifyInferenceConfig_featureHeaders :: Lens' ClarifyInferenceConfig (Maybe (NonEmpty Text)) Source #
The names of the features. If provided, these are included in the
endpoint response payload to help readability of the InvokeEndpoint
output. See the
Response
section under Invoke the endpoint in the Developer Guide for more
information.
clarifyInferenceConfig_featureTypes :: Lens' ClarifyInferenceConfig (Maybe (NonEmpty ClarifyFeatureType)) Source #
A list of data types of the features (optional). Applicable only to NLP
explainability. If provided, FeatureTypes
must have at least one
'text'
string (for example, ['text']
). If FeatureTypes
is not
provided, the explainer infers the feature types based on the baseline
data. The feature types are included in the endpoint response payload.
For additional information see the
response
section under Invoke the endpoint in the Developer Guide for more
information.
clarifyInferenceConfig_featuresAttribute :: Lens' ClarifyInferenceConfig (Maybe Text) Source #
Provides the JMESPath expression to extract the features from a model
container input in JSON Lines format. For example, if
FeaturesAttribute
is the JMESPath expression 'myfeatures'
, it
extracts a list of features [1,2,3]
from request data
'{"myfeatures":[1,2,3]}'
.
clarifyInferenceConfig_labelAttribute :: Lens' ClarifyInferenceConfig (Maybe Text) Source #
A JMESPath expression used to locate the list of label headers in the model container output.
Example: If the model container output of a batch request is
'{"labels":["cat","dog","fish"],"probability":[0.6,0.3,0.1]}'
,
then set LabelAttribute
to 'labels'
to extract the list of label
headers ["cat","dog","fish"]
clarifyInferenceConfig_labelHeaders :: Lens' ClarifyInferenceConfig (Maybe (NonEmpty Text)) Source #
For multiclass classification problems, the label headers are the names
of the classes. Otherwise, the label header is the name of the predicted
label. These are used to help readability for the output of the
InvokeEndpoint
API. See the
response
section under Invoke the endpoint in the Developer Guide for more
information. If there are no label headers in the model container
output, provide them manually using this parameter.
clarifyInferenceConfig_labelIndex :: Lens' ClarifyInferenceConfig (Maybe Natural) Source #
A zero-based index used to extract a label header or list of label headers from model container output in CSV format.
Example for a multiclass model: If the model container output
consists of label headers followed by probabilities:
'"[\'cat\',\'dog\',\'fish\']","[0.1,0.6,0.3]"'
, set
LabelIndex
to 0
to select the label headers
['cat','dog','fish']
.
clarifyInferenceConfig_maxPayloadInMB :: Lens' ClarifyInferenceConfig (Maybe Natural) Source #
The maximum payload size (MB) allowed of a request from the explainer to
the model container. Defaults to 6
MB.
clarifyInferenceConfig_maxRecordCount :: Lens' ClarifyInferenceConfig (Maybe Natural) Source #
The maximum number of records in a request that the model container can
process when querying the model container for the predictions of a
synthetic dataset.
A record is a unit of input data that inference can be made on, for
example, a single line in CSV data. If MaxRecordCount
is 1
, the
model container expects one record per request. A value of 2 or greater
means that the model expects batch requests, which can reduce overhead
and speed up the inferencing process. If this parameter is not provided,
the explainer will tune the record count per request according to the
model container's capacity at runtime.
clarifyInferenceConfig_probabilityAttribute :: Lens' ClarifyInferenceConfig (Maybe Text) Source #
A JMESPath expression used to extract the probability (or score) from the model container output if the model container is in JSON Lines format.
Example: If the model container output of a single request is
'{"predicted_label":1,"probability":0.6}'
, then set
ProbabilityAttribute
to 'probability'
.
clarifyInferenceConfig_probabilityIndex :: Lens' ClarifyInferenceConfig (Maybe Natural) Source #
A zero-based index used to extract a probability value (score) or list from model container output in CSV format. If this value is not provided, the entire model container output will be treated as a probability value (score) or list.
Example for a single class model: If the model container output
consists of a string-formatted prediction label followed by its
probability: '1,0.6'
, set ProbabilityIndex
to 1
to select the
probability value 0.6
.
Example for a multiclass model: If the model container output
consists of a string-formatted prediction label followed by its
probability:
'"[\'cat\',\'dog\',\'fish\']","[0.1,0.6,0.3]"'
, set
ProbabilityIndex
to 1
to select the probability values
[0.1,0.6,0.3]
.
ClarifyShapBaselineConfig
clarifyShapBaselineConfig_mimeType :: Lens' ClarifyShapBaselineConfig (Maybe Text) Source #
The MIME type of the baseline data. Choose from 'text/csv'
or
'application/jsonlines'
. Defaults to 'text/csv'
.
clarifyShapBaselineConfig_shapBaseline :: Lens' ClarifyShapBaselineConfig (Maybe Text) Source #
The inline SHAP baseline data in string format. ShapBaseline
can have
one or multiple records to be used as the baseline dataset. The format
of the SHAP baseline file should be the same format as the training
dataset. For example, if the training dataset is in CSV format and each
record contains four features, and all features are numerical, then the
format of the baseline data should also share these characteristics. For
natural language processing (NLP) of text columns, the baseline value
should be the value used to replace the unit of text specified by the
Granularity
of the TextConfig
parameter. The size limit for
ShapBasline
is 4 KB. Use the ShapBaselineUri
parameter if you want
to provide more than 4 KB of baseline data.
clarifyShapBaselineConfig_shapBaselineUri :: Lens' ClarifyShapBaselineConfig (Maybe Text) Source #
The uniform resource identifier (URI) of the S3 bucket where the SHAP
baseline file is stored. The format of the SHAP baseline file should be
the same format as the format of the training dataset. For example, if
the training dataset is in CSV format, and each record in the training
dataset has four features, and all features are numerical, then the
baseline file should also have this same format. Each record should
contain only the features. If you are using a virtual private cloud
(VPC), the ShapBaselineUri
should be accessible to the VPC. For more
information about setting up endpoints with Amazon Virtual Private
Cloud, see
Give SageMaker access to Resources in your Amazon Virtual Private Cloud.
ClarifyShapConfig
clarifyShapConfig_numberOfSamples :: Lens' ClarifyShapConfig (Maybe Natural) Source #
The number of samples to be used for analysis by the Kernal SHAP algorithm.
The number of samples determines the size of the synthetic dataset, which has an impact on latency of explainability requests. For more information, see the Synthetic data of Configure and create an endpoint.
clarifyShapConfig_seed :: Lens' ClarifyShapConfig (Maybe Int) Source #
The starting value used to initialize the random number generator in the explainer. Provide a value for this parameter to obtain a deterministic SHAP result.
clarifyShapConfig_textConfig :: Lens' ClarifyShapConfig (Maybe ClarifyTextConfig) Source #
A parameter that indicates if text features are treated as text and explanations are provided for individual units of text. Required for natural language processing (NLP) explainability only.
clarifyShapConfig_useLogit :: Lens' ClarifyShapConfig (Maybe Bool) Source #
A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model predictions. Defaults to false.
clarifyShapConfig_shapBaselineConfig :: Lens' ClarifyShapConfig ClarifyShapBaselineConfig Source #
The configuration for the SHAP baseline of the Kernal SHAP algorithm.
ClarifyTextConfig
clarifyTextConfig_granularity :: Lens' ClarifyTextConfig ClarifyTextGranularity Source #
The unit of granularity for the analysis of text features. For example,
if the unit is 'token'
, then each token (like a word in English) of
the text is treated as a feature. SHAP values are computed for each
unit/feature.
CodeRepository
codeRepository_repositoryUrl :: Lens' CodeRepository Text Source #
The URL of the Git repository.
CodeRepositorySummary
codeRepositorySummary_gitConfig :: Lens' CodeRepositorySummary (Maybe GitConfig) Source #
Configuration details for the Git repository, including the URL where it is located and the ARN of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.
codeRepositorySummary_codeRepositoryName :: Lens' CodeRepositorySummary Text Source #
The name of the Git repository.
codeRepositorySummary_codeRepositoryArn :: Lens' CodeRepositorySummary Text Source #
The Amazon Resource Name (ARN) of the Git repository.
codeRepositorySummary_creationTime :: Lens' CodeRepositorySummary UTCTime Source #
The date and time that the Git repository was created.
codeRepositorySummary_lastModifiedTime :: Lens' CodeRepositorySummary UTCTime Source #
The date and time that the Git repository was last modified.
CognitoConfig
cognitoConfig_userPool :: Lens' CognitoConfig Text Source #
A user pool is a user directory in Amazon Cognito. With a user pool, your users can sign in to your web or mobile app through Amazon Cognito. Your users can also sign in through social identity providers like Google, Facebook, Amazon, or Apple, and through SAML identity providers.
cognitoConfig_clientId :: Lens' CognitoConfig Text Source #
The client ID for your Amazon Cognito user pool.
CognitoMemberDefinition
cognitoMemberDefinition_userPool :: Lens' CognitoMemberDefinition Text Source #
An identifier for a user pool. The user pool must be in the same region as the service that you are calling.
cognitoMemberDefinition_userGroup :: Lens' CognitoMemberDefinition Text Source #
An identifier for a user group.
cognitoMemberDefinition_clientId :: Lens' CognitoMemberDefinition Text Source #
An identifier for an application client. You must create the app client ID using Amazon Cognito.
CollectionConfiguration
collectionConfiguration_collectionName :: Lens' CollectionConfiguration (Maybe Text) Source #
The name of the tensor collection. The name must be unique relative to other rule configuration names.
collectionConfiguration_collectionParameters :: Lens' CollectionConfiguration (Maybe (HashMap Text Text)) Source #
Parameter values for the tensor collection. The allowed parameters are
"name"
, "include_regex"
, "reduction_config"
,
"save_config"
, "tensor_names"
, and "save_histogram"
.
CompilationJobSummary
compilationJobSummary_compilationEndTime :: Lens' CompilationJobSummary (Maybe UTCTime) Source #
The time when the model compilation job completed.
compilationJobSummary_compilationStartTime :: Lens' CompilationJobSummary (Maybe UTCTime) Source #
The time when the model compilation job started.
compilationJobSummary_compilationTargetDevice :: Lens' CompilationJobSummary (Maybe TargetDevice) Source #
The type of device that the model will run on after the compilation job has completed.
compilationJobSummary_compilationTargetPlatformAccelerator :: Lens' CompilationJobSummary (Maybe TargetPlatformAccelerator) Source #
The type of accelerator that the model will run on after the compilation job has completed.
compilationJobSummary_compilationTargetPlatformArch :: Lens' CompilationJobSummary (Maybe TargetPlatformArch) Source #
The type of architecture that the model will run on after the compilation job has completed.
compilationJobSummary_compilationTargetPlatformOs :: Lens' CompilationJobSummary (Maybe TargetPlatformOs) Source #
The type of OS that the model will run on after the compilation job has completed.
compilationJobSummary_lastModifiedTime :: Lens' CompilationJobSummary (Maybe UTCTime) Source #
The time when the model compilation job was last modified.
compilationJobSummary_compilationJobName :: Lens' CompilationJobSummary Text Source #
The name of the model compilation job that you want a summary for.
compilationJobSummary_compilationJobArn :: Lens' CompilationJobSummary Text Source #
The Amazon Resource Name (ARN) of the model compilation job.
compilationJobSummary_creationTime :: Lens' CompilationJobSummary UTCTime Source #
The time when the model compilation job was created.
compilationJobSummary_compilationJobStatus :: Lens' CompilationJobSummary CompilationJobStatus Source #
The status of the model compilation job.
ConditionStepMetadata
conditionStepMetadata_outcome :: Lens' ConditionStepMetadata (Maybe ConditionOutcome) Source #
The outcome of the Condition step evaluation.
ContainerDefinition
containerDefinition_containerHostname :: Lens' ContainerDefinition (Maybe Text) Source #
This parameter is ignored for models that contain only a
PrimaryContainer
.
When a ContainerDefinition
is part of an inference pipeline, the value
of the parameter uniquely identifies the container for the purposes of
logging and metrics. For information, see
Use Logs and Metrics to Monitor an Inference Pipeline.
If you don't specify a value for this parameter for a
ContainerDefinition
that is part of an inference pipeline, a unique
name is automatically assigned based on the position of the
ContainerDefinition
in the pipeline. If you specify a value for the
ContainerHostName
for any ContainerDefinition
that is part of an
inference pipeline, you must specify a value for the ContainerHostName
parameter of every ContainerDefinition
in that pipeline.
containerDefinition_environment :: Lens' ContainerDefinition (Maybe (HashMap Text Text)) Source #
The environment variables to set in the Docker container. Each key and
value in the Environment
string to string map can have length of up to
1024. We support up to 16 entries in the map.
containerDefinition_image :: Lens' ContainerDefinition (Maybe Text) Source #
The path where inference code is stored. This can be either in Amazon
EC2 Container Registry or in a Docker registry that is accessible from
the same VPC that you configure for your endpoint. If you are using your
own custom algorithm instead of an algorithm provided by SageMaker, the
inference code must meet SageMaker requirements. SageMaker supports both
registry/repository[:tag]
and registry/repository[@digest]
image
path formats. For more information, see
Using Your Own Algorithms with Amazon SageMaker
containerDefinition_imageConfig :: Lens' ContainerDefinition (Maybe ImageConfig) Source #
Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For information about storing containers in a private Docker registry, see Use a Private Docker Registry for Real-Time Inference Containers
containerDefinition_inferenceSpecificationName :: Lens' ContainerDefinition (Maybe Text) Source #
The inference specification name in the model package version.
containerDefinition_mode :: Lens' ContainerDefinition (Maybe ContainerMode) Source #
Whether the container hosts a single model or multiple models.
containerDefinition_modelDataUrl :: Lens' ContainerDefinition (Maybe Text) Source #
The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix). The S3 path is required for SageMaker built-in algorithms, but not if you use your own algorithms. For more information on built-in algorithms, see Common Parameters.
The model artifacts must be in an S3 bucket that is in the same region as the model or endpoint you are creating.
If you provide a value for this parameter, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provide. Amazon Web Services STS is activated in your IAM user account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.
If you use a built-in algorithm to create a model, SageMaker requires
that you provide a S3 path to the model artifacts in ModelDataUrl
.
containerDefinition_modelPackageName :: Lens' ContainerDefinition (Maybe Text) Source #
The name or Amazon Resource Name (ARN) of the model package to use to create the model.
containerDefinition_multiModelConfig :: Lens' ContainerDefinition (Maybe MultiModelConfig) Source #
Specifies additional configuration for multi-model endpoints.
ContextSource
contextSource_sourceId :: Lens' ContextSource (Maybe Text) Source #
The ID of the source.
contextSource_sourceType :: Lens' ContextSource (Maybe Text) Source #
The type of the source.
contextSource_sourceUri :: Lens' ContextSource Text Source #
The URI of the source.
ContextSummary
contextSummary_contextArn :: Lens' ContextSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the context.
contextSummary_contextName :: Lens' ContextSummary (Maybe Text) Source #
The name of the context.
contextSummary_contextType :: Lens' ContextSummary (Maybe Text) Source #
The type of the context.
contextSummary_creationTime :: Lens' ContextSummary (Maybe UTCTime) Source #
When the context was created.
contextSummary_lastModifiedTime :: Lens' ContextSummary (Maybe UTCTime) Source #
When the context was last modified.
contextSummary_source :: Lens' ContextSummary (Maybe ContextSource) Source #
The source of the context.
ContinuousParameterRange
continuousParameterRange_scalingType :: Lens' ContinuousParameterRange (Maybe HyperParameterScalingType) Source #
The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
- Auto
- SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
- Linear
- Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
- Logarithmic
- Hyperparameter tuning searches the values in the hyperparameter
range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
- ReverseLogarithmic
- Hyperparameter tuning searches the values in the hyperparameter
range by using a reverse logarithmic scale.
Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.
continuousParameterRange_name :: Lens' ContinuousParameterRange Text Source #
The name of the continuous hyperparameter to tune.
continuousParameterRange_minValue :: Lens' ContinuousParameterRange Text Source #
The minimum value for the hyperparameter. The tuning job uses
floating-point values between this value and MaxValue
for tuning.
continuousParameterRange_maxValue :: Lens' ContinuousParameterRange Text Source #
The maximum value for the hyperparameter. The tuning job uses
floating-point values between MinValue
value and this value for
tuning.
ContinuousParameterRangeSpecification
continuousParameterRangeSpecification_minValue :: Lens' ContinuousParameterRangeSpecification Text Source #
The minimum floating-point value allowed.
continuousParameterRangeSpecification_maxValue :: Lens' ContinuousParameterRangeSpecification Text Source #
The maximum floating-point value allowed.
CustomImage
customImage_imageVersionNumber :: Lens' CustomImage (Maybe Natural) Source #
The version number of the CustomImage.
customImage_imageName :: Lens' CustomImage Text Source #
The name of the CustomImage. Must be unique to your account.
customImage_appImageConfigName :: Lens' CustomImage Text Source #
The name of the AppImageConfig.
DataCaptureConfig
dataCaptureConfig_captureContentTypeHeader :: Lens' DataCaptureConfig (Maybe CaptureContentTypeHeader) Source #
Configuration specifying how to treat different headers. If no headers are specified SageMaker will by default base64 encode when capturing the data.
dataCaptureConfig_enableCapture :: Lens' DataCaptureConfig (Maybe Bool) Source #
Whether data capture should be enabled or disabled (defaults to enabled).
dataCaptureConfig_kmsKeyId :: Lens' DataCaptureConfig (Maybe Text) Source #
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt the captured data at rest using Amazon S3 server-side encryption.
The KmsKeyId can be any of the following formats:
- Key ID:
1234abcd-12ab-34cd-56ef-1234567890ab
- Key ARN:
arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
- Alias name:
alias/ExampleAlias
- Alias name ARN:
arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
dataCaptureConfig_initialSamplingPercentage :: Lens' DataCaptureConfig Natural Source #
The percentage of requests SageMaker will capture. A lower value is recommended for Endpoints with high traffic.
dataCaptureConfig_destinationS3Uri :: Lens' DataCaptureConfig Text Source #
The Amazon S3 location used to capture the data.
dataCaptureConfig_captureOptions :: Lens' DataCaptureConfig (NonEmpty CaptureOption) Source #
Specifies data Model Monitor will capture. You can configure whether to collect only input, only output, or both
DataCaptureConfigSummary
dataCaptureConfigSummary_enableCapture :: Lens' DataCaptureConfigSummary Bool Source #
Whether data capture is enabled or disabled.
dataCaptureConfigSummary_captureStatus :: Lens' DataCaptureConfigSummary CaptureStatus Source #
Whether data capture is currently functional.
dataCaptureConfigSummary_currentSamplingPercentage :: Lens' DataCaptureConfigSummary Natural Source #
The percentage of requests being captured by your Endpoint.
dataCaptureConfigSummary_destinationS3Uri :: Lens' DataCaptureConfigSummary Text Source #
The Amazon S3 location being used to capture the data.
dataCaptureConfigSummary_kmsKeyId :: Lens' DataCaptureConfigSummary Text Source #
The KMS key being used to encrypt the data in Amazon S3.
DataCatalogConfig
dataCatalogConfig_tableName :: Lens' DataCatalogConfig Text Source #
The name of the Glue table.
dataCatalogConfig_catalog :: Lens' DataCatalogConfig Text Source #
The name of the Glue table catalog.
dataCatalogConfig_database :: Lens' DataCatalogConfig Text Source #
The name of the Glue table database.
DataProcessing
dataProcessing_inputFilter :: Lens' DataProcessing (Maybe Text) Source #
A
JSONPath
expression used to select a portion of the input data to pass to the
algorithm. Use the InputFilter
parameter to exclude fields, such as an
ID column, from the input. If you want SageMaker to pass the entire
input dataset to the algorithm, accept the default value $
.
Examples: "$"
, "$[1:]"
, "$.features"
dataProcessing_joinSource :: Lens' DataProcessing (Maybe JoinSource) Source #
Specifies the source of the data to join with the transformed data. The
valid values are None
and Input
. The default value is None
, which
specifies not to join the input with the transformed data. If you want
the batch transform job to join the original input data with the
transformed data, set JoinSource
to Input
. You can specify
OutputFilter
as an additional filter to select a portion of the joined
dataset and store it in the output file.
For JSON or JSONLines objects, such as a JSON array, SageMaker adds the
transformed data to the input JSON object in an attribute called
SageMakerOutput
. The joined result for JSON must be a key-value pair
object. If the input is not a key-value pair object, SageMaker creates a
new JSON file. In the new JSON file, and the input data is stored under
the SageMakerInput
key and the results are stored in
SageMakerOutput
.
For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.
For information on how joining in applied, see Workflow for Associating Inferences with Input Records.
dataProcessing_outputFilter :: Lens' DataProcessing (Maybe Text) Source #
A
JSONPath
expression used to select a portion of the joined dataset to save in the
output file for a batch transform job. If you want SageMaker to store
the entire input dataset in the output file, leave the default value,
$
. If you specify indexes that aren't within the dimension size of
the joined dataset, you get an error.
Examples: "$"
, "$[0,5:]"
, "$['id','SageMakerOutput']"
DataQualityAppSpecification
dataQualityAppSpecification_containerArguments :: Lens' DataQualityAppSpecification (Maybe (NonEmpty Text)) Source #
The arguments to send to the container that the monitoring job runs.
dataQualityAppSpecification_containerEntrypoint :: Lens' DataQualityAppSpecification (Maybe (NonEmpty Text)) Source #
The entrypoint for a container used to run a monitoring job.
dataQualityAppSpecification_environment :: Lens' DataQualityAppSpecification (Maybe (HashMap Text Text)) Source #
Sets the environment variables in the container that the monitoring job runs.
dataQualityAppSpecification_postAnalyticsProcessorSourceUri :: Lens' DataQualityAppSpecification (Maybe Text) Source #
An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
dataQualityAppSpecification_recordPreprocessorSourceUri :: Lens' DataQualityAppSpecification (Maybe Text) Source #
An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
dataQualityAppSpecification_imageUri :: Lens' DataQualityAppSpecification Text Source #
The container image that the data quality monitoring job runs.
DataQualityBaselineConfig
dataQualityBaselineConfig_baseliningJobName :: Lens' DataQualityBaselineConfig (Maybe Text) Source #
The name of the job that performs baselining for the data quality monitoring job.
dataQualityBaselineConfig_constraintsResource :: Lens' DataQualityBaselineConfig (Maybe MonitoringConstraintsResource) Source #
Undocumented member.
dataQualityBaselineConfig_statisticsResource :: Lens' DataQualityBaselineConfig (Maybe MonitoringStatisticsResource) Source #
Undocumented member.
DataQualityJobInput
dataQualityJobInput_batchTransformInput :: Lens' DataQualityJobInput (Maybe BatchTransformInput) Source #
Input object for the batch transform job.
dataQualityJobInput_endpointInput :: Lens' DataQualityJobInput (Maybe EndpointInput) Source #
Undocumented member.
DataSource
dataSource_fileSystemDataSource :: Lens' DataSource (Maybe FileSystemDataSource) Source #
The file system that is associated with a channel.
dataSource_s3DataSource :: Lens' DataSource (Maybe S3DataSource) Source #
The S3 location of the data source that is associated with a channel.
DatasetDefinition
datasetDefinition_athenaDatasetDefinition :: Lens' DatasetDefinition (Maybe AthenaDatasetDefinition) Source #
Undocumented member.
datasetDefinition_dataDistributionType :: Lens' DatasetDefinition (Maybe DataDistributionType) Source #
Whether the generated dataset is FullyReplicated
or ShardedByS3Key
(default).
datasetDefinition_inputMode :: Lens' DatasetDefinition (Maybe InputMode) Source #
Whether to use File
or Pipe
input mode. In File
(default) mode,
Amazon SageMaker copies the data from the input source onto the local
Amazon Elastic Block Store (Amazon EBS) volumes before starting your
training algorithm. This is the most commonly used input mode. In Pipe
mode, Amazon SageMaker streams input data from the source directly to
your algorithm without using the EBS volume.
datasetDefinition_localPath :: Lens' DatasetDefinition (Maybe Text) Source #
The local path where you want Amazon SageMaker to download the Dataset
Definition inputs to run a processing job. LocalPath
is an absolute
path to the input data. This is a required parameter when AppManaged
is False
(default).
datasetDefinition_redshiftDatasetDefinition :: Lens' DatasetDefinition (Maybe RedshiftDatasetDefinition) Source #
Undocumented member.
DebugHookConfig
debugHookConfig_collectionConfigurations :: Lens' DebugHookConfig (Maybe [CollectionConfiguration]) Source #
Configuration information for Amazon SageMaker Debugger tensor
collections. To learn more about how to configure the
CollectionConfiguration
parameter, see
Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
debugHookConfig_hookParameters :: Lens' DebugHookConfig (Maybe (HashMap Text Text)) Source #
Configuration information for the Amazon SageMaker Debugger hook parameters.
debugHookConfig_localPath :: Lens' DebugHookConfig (Maybe Text) Source #
Path to local storage location for metrics and tensors. Defaults to
/opt/ml/output/tensors/
.
debugHookConfig_s3OutputPath :: Lens' DebugHookConfig Text Source #
Path to Amazon S3 storage location for metrics and tensors.
DebugRuleConfiguration
debugRuleConfiguration_instanceType :: Lens' DebugRuleConfiguration (Maybe ProcessingInstanceType) Source #
The instance type to deploy a custom rule for debugging a training job.
debugRuleConfiguration_localPath :: Lens' DebugRuleConfiguration (Maybe Text) Source #
Path to local storage location for output of rules. Defaults to
/opt/ml/processing/output/rule/
.
debugRuleConfiguration_ruleParameters :: Lens' DebugRuleConfiguration (Maybe (HashMap Text Text)) Source #
Runtime configuration for rule container.
debugRuleConfiguration_s3OutputPath :: Lens' DebugRuleConfiguration (Maybe Text) Source #
Path to Amazon S3 storage location for rules.
debugRuleConfiguration_volumeSizeInGB :: Lens' DebugRuleConfiguration (Maybe Natural) Source #
The size, in GB, of the ML storage volume attached to the processing instance.
debugRuleConfiguration_ruleConfigurationName :: Lens' DebugRuleConfiguration Text Source #
The name of the rule configuration. It must be unique relative to other rule configuration names.
debugRuleConfiguration_ruleEvaluatorImage :: Lens' DebugRuleConfiguration Text Source #
The Amazon Elastic Container (ECR) Image for the managed rule evaluation.
DebugRuleEvaluationStatus
debugRuleEvaluationStatus_lastModifiedTime :: Lens' DebugRuleEvaluationStatus (Maybe UTCTime) Source #
Timestamp when the rule evaluation status was last modified.
debugRuleEvaluationStatus_ruleConfigurationName :: Lens' DebugRuleEvaluationStatus (Maybe Text) Source #
The name of the rule configuration.
debugRuleEvaluationStatus_ruleEvaluationJobArn :: Lens' DebugRuleEvaluationStatus (Maybe Text) Source #
The Amazon Resource Name (ARN) of the rule evaluation job.
debugRuleEvaluationStatus_ruleEvaluationStatus :: Lens' DebugRuleEvaluationStatus (Maybe RuleEvaluationStatus) Source #
Status of the rule evaluation.
debugRuleEvaluationStatus_statusDetails :: Lens' DebugRuleEvaluationStatus (Maybe Text) Source #
Details from the rule evaluation.
DefaultSpaceSettings
defaultSpaceSettings_executionRole :: Lens' DefaultSpaceSettings (Maybe Text) Source #
The execution role for the space.
defaultSpaceSettings_jupyterServerAppSettings :: Lens' DefaultSpaceSettings (Maybe JupyterServerAppSettings) Source #
Undocumented member.
defaultSpaceSettings_kernelGatewayAppSettings :: Lens' DefaultSpaceSettings (Maybe KernelGatewayAppSettings) Source #
Undocumented member.
defaultSpaceSettings_securityGroups :: Lens' DefaultSpaceSettings (Maybe [Text]) Source #
The security groups for the Amazon Virtual Private Cloud that the space uses for communication.
DeployedImage
deployedImage_resolutionTime :: Lens' DeployedImage (Maybe UTCTime) Source #
The date and time when the image path for the model resolved to the
ResolvedImage
deployedImage_resolvedImage :: Lens' DeployedImage (Maybe Text) Source #
The specific digest path of the image hosted in this
ProductionVariant
.
deployedImage_specifiedImage :: Lens' DeployedImage (Maybe Text) Source #
The image path you specified when you created the model.
DeploymentConfig
deploymentConfig_autoRollbackConfiguration :: Lens' DeploymentConfig (Maybe AutoRollbackConfig) Source #
Automatic rollback configuration for handling endpoint deployment failures and recovery.
deploymentConfig_blueGreenUpdatePolicy :: Lens' DeploymentConfig BlueGreenUpdatePolicy Source #
Update policy for a blue/green deployment. If this update policy is specified, SageMaker creates a new fleet during the deployment while maintaining the old fleet. SageMaker flips traffic to the new fleet according to the specified traffic routing configuration. Only one update policy should be used in the deployment configuration. If no update policy is specified, SageMaker uses a blue/green deployment strategy with all at once traffic shifting by default.
DeploymentStage
deploymentStage_deploymentConfig :: Lens' DeploymentStage (Maybe EdgeDeploymentConfig) Source #
Configuration of the deployment details.
deploymentStage_stageName :: Lens' DeploymentStage Text Source #
The name of the stage.
deploymentStage_deviceSelectionConfig :: Lens' DeploymentStage DeviceSelectionConfig Source #
Configuration of the devices in the stage.
DeploymentStageStatusSummary
deploymentStageStatusSummary_stageName :: Lens' DeploymentStageStatusSummary Text Source #
The name of the stage.
deploymentStageStatusSummary_deviceSelectionConfig :: Lens' DeploymentStageStatusSummary DeviceSelectionConfig Source #
Configuration of the devices in the stage.
deploymentStageStatusSummary_deploymentConfig :: Lens' DeploymentStageStatusSummary EdgeDeploymentConfig Source #
Configuration of the deployment details.
deploymentStageStatusSummary_deploymentStatus :: Lens' DeploymentStageStatusSummary EdgeDeploymentStatus Source #
General status of the current state.
DesiredWeightAndCapacity
desiredWeightAndCapacity_desiredInstanceCount :: Lens' DesiredWeightAndCapacity (Maybe Natural) Source #
The variant's capacity.
desiredWeightAndCapacity_desiredWeight :: Lens' DesiredWeightAndCapacity (Maybe Double) Source #
The variant's weight.
desiredWeightAndCapacity_variantName :: Lens' DesiredWeightAndCapacity Text Source #
The name of the variant to update.
Device
device_iotThingName :: Lens' Device (Maybe Text) Source #
Amazon Web Services Internet of Things (IoT) object name.
DeviceDeploymentSummary
deviceDeploymentSummary_deployedStageName :: Lens' DeviceDeploymentSummary (Maybe Text) Source #
The name of the deployed stage.
deviceDeploymentSummary_deploymentStartTime :: Lens' DeviceDeploymentSummary (Maybe UTCTime) Source #
The time when the deployment on the device started.
deviceDeploymentSummary_description :: Lens' DeviceDeploymentSummary (Maybe Text) Source #
The description of the device.
deviceDeploymentSummary_deviceDeploymentStatus :: Lens' DeviceDeploymentSummary (Maybe DeviceDeploymentStatus) Source #
The deployment status of the device.
deviceDeploymentSummary_deviceDeploymentStatusMessage :: Lens' DeviceDeploymentSummary (Maybe Text) Source #
The detailed error message for the deployoment status result.
deviceDeploymentSummary_deviceFleetName :: Lens' DeviceDeploymentSummary (Maybe Text) Source #
The name of the fleet to which the device belongs to.
deviceDeploymentSummary_edgeDeploymentPlanArn :: Lens' DeviceDeploymentSummary Text Source #
The ARN of the edge deployment plan.
deviceDeploymentSummary_edgeDeploymentPlanName :: Lens' DeviceDeploymentSummary Text Source #
The name of the edge deployment plan.
deviceDeploymentSummary_stageName :: Lens' DeviceDeploymentSummary Text Source #
The name of the stage in the edge deployment plan.
deviceDeploymentSummary_deviceName :: Lens' DeviceDeploymentSummary Text Source #
The name of the device.
deviceDeploymentSummary_deviceArn :: Lens' DeviceDeploymentSummary Text Source #
The ARN of the device.
DeviceFleetSummary
deviceFleetSummary_creationTime :: Lens' DeviceFleetSummary (Maybe UTCTime) Source #
Timestamp of when the device fleet was created.
deviceFleetSummary_lastModifiedTime :: Lens' DeviceFleetSummary (Maybe UTCTime) Source #
Timestamp of when the device fleet was last updated.
deviceFleetSummary_deviceFleetArn :: Lens' DeviceFleetSummary Text Source #
Amazon Resource Name (ARN) of the device fleet.
deviceFleetSummary_deviceFleetName :: Lens' DeviceFleetSummary Text Source #
Name of the device fleet.
DeviceSelectionConfig
deviceSelectionConfig_deviceNameContains :: Lens' DeviceSelectionConfig (Maybe Text) Source #
A filter to select devices with names containing this name.
deviceSelectionConfig_deviceNames :: Lens' DeviceSelectionConfig (Maybe [Text]) Source #
List of devices chosen to deploy.
deviceSelectionConfig_percentage :: Lens' DeviceSelectionConfig (Maybe Int) Source #
Percentage of devices in the fleet to deploy to the current stage.
deviceSelectionConfig_deviceSubsetType :: Lens' DeviceSelectionConfig DeviceSubsetType Source #
Type of device subsets to deploy to the current stage.
DeviceStats
deviceStats_connectedDeviceCount :: Lens' DeviceStats Integer Source #
The number of devices connected with a heartbeat.
deviceStats_registeredDeviceCount :: Lens' DeviceStats Integer Source #
The number of registered devices.
DeviceSummary
deviceSummary_agentVersion :: Lens' DeviceSummary (Maybe Text) Source #
Edge Manager agent version.
deviceSummary_description :: Lens' DeviceSummary (Maybe Text) Source #
A description of the device.
deviceSummary_deviceFleetName :: Lens' DeviceSummary (Maybe Text) Source #
The name of the fleet the device belongs to.
deviceSummary_iotThingName :: Lens' DeviceSummary (Maybe Text) Source #
The Amazon Web Services Internet of Things (IoT) object thing name associated with the device..
deviceSummary_latestHeartbeat :: Lens' DeviceSummary (Maybe UTCTime) Source #
The last heartbeat received from the device.
deviceSummary_models :: Lens' DeviceSummary (Maybe [EdgeModelSummary]) Source #
Models on the device.
deviceSummary_registrationTime :: Lens' DeviceSummary (Maybe UTCTime) Source #
The timestamp of the last registration or de-reregistration.
deviceSummary_deviceName :: Lens' DeviceSummary Text Source #
The unique identifier of the device.
deviceSummary_deviceArn :: Lens' DeviceSummary Text Source #
Amazon Resource Name (ARN) of the device.
DomainDetails
domainDetails_creationTime :: Lens' DomainDetails (Maybe UTCTime) Source #
The creation time.
domainDetails_domainArn :: Lens' DomainDetails (Maybe Text) Source #
The domain's Amazon Resource Name (ARN).
domainDetails_domainId :: Lens' DomainDetails (Maybe Text) Source #
The domain ID.
domainDetails_domainName :: Lens' DomainDetails (Maybe Text) Source #
The domain name.
domainDetails_lastModifiedTime :: Lens' DomainDetails (Maybe UTCTime) Source #
The last modified time.
domainDetails_status :: Lens' DomainDetails (Maybe DomainStatus) Source #
The status.
domainDetails_url :: Lens' DomainDetails (Maybe Text) Source #
The domain's URL.
DomainSettings
domainSettings_executionRoleIdentityConfig :: Lens' DomainSettings (Maybe ExecutionRoleIdentityConfig) Source #
The configuration for attaching a SageMaker user profile name to the execution role as a sts:SourceIdentity key.
domainSettings_rStudioServerProDomainSettings :: Lens' DomainSettings (Maybe RStudioServerProDomainSettings) Source #
A collection of settings that configure the RStudioServerPro
Domain-level app.
domainSettings_securityGroupIds :: Lens' DomainSettings (Maybe [Text]) Source #
The security groups for the Amazon Virtual Private Cloud that the
Domain
uses for communication between Domain-level apps and user apps.
DomainSettingsForUpdate
domainSettingsForUpdate_executionRoleIdentityConfig :: Lens' DomainSettingsForUpdate (Maybe ExecutionRoleIdentityConfig) Source #
The configuration for attaching a SageMaker user profile name to the
execution role as a
sts:SourceIdentity key.
This configuration can only be modified if there are no apps in the
InService
or Pending
state.
domainSettingsForUpdate_rStudioServerProDomainSettingsForUpdate :: Lens' DomainSettingsForUpdate (Maybe RStudioServerProDomainSettingsForUpdate) Source #
A collection of RStudioServerPro
Domain-level app settings to update.
domainSettingsForUpdate_securityGroupIds :: Lens' DomainSettingsForUpdate (Maybe [Text]) Source #
The security groups for the Amazon Virtual Private Cloud that the
Domain
uses for communication between Domain-level apps and user apps.
DriftCheckBaselines
driftCheckBaselines_bias :: Lens' DriftCheckBaselines (Maybe DriftCheckBias) Source #
Represents the drift check bias baselines that can be used when the model monitor is set using the model package.
driftCheckBaselines_explainability :: Lens' DriftCheckBaselines (Maybe DriftCheckExplainability) Source #
Represents the drift check explainability baselines that can be used when the model monitor is set using the model package.
driftCheckBaselines_modelDataQuality :: Lens' DriftCheckBaselines (Maybe DriftCheckModelDataQuality) Source #
Represents the drift check model data quality baselines that can be used when the model monitor is set using the model package.
driftCheckBaselines_modelQuality :: Lens' DriftCheckBaselines (Maybe DriftCheckModelQuality) Source #
Represents the drift check model quality baselines that can be used when the model monitor is set using the model package.
DriftCheckBias
driftCheckBias_configFile :: Lens' DriftCheckBias (Maybe FileSource) Source #
The bias config file for a model.
driftCheckBias_postTrainingConstraints :: Lens' DriftCheckBias (Maybe MetricsSource) Source #
The post-training constraints.
driftCheckBias_preTrainingConstraints :: Lens' DriftCheckBias (Maybe MetricsSource) Source #
The pre-training constraints.
DriftCheckExplainability
driftCheckExplainability_configFile :: Lens' DriftCheckExplainability (Maybe FileSource) Source #
The explainability config file for the model.
driftCheckExplainability_constraints :: Lens' DriftCheckExplainability (Maybe MetricsSource) Source #
The drift check explainability constraints.
DriftCheckModelDataQuality
driftCheckModelDataQuality_constraints :: Lens' DriftCheckModelDataQuality (Maybe MetricsSource) Source #
The drift check model data quality constraints.
driftCheckModelDataQuality_statistics :: Lens' DriftCheckModelDataQuality (Maybe MetricsSource) Source #
The drift check model data quality statistics.
DriftCheckModelQuality
driftCheckModelQuality_constraints :: Lens' DriftCheckModelQuality (Maybe MetricsSource) Source #
The drift check model quality constraints.
driftCheckModelQuality_statistics :: Lens' DriftCheckModelQuality (Maybe MetricsSource) Source #
The drift check model quality statistics.
EMRStepMetadata
eMRStepMetadata_clusterId :: Lens' EMRStepMetadata (Maybe Text) Source #
The identifier of the EMR cluster.
eMRStepMetadata_logFilePath :: Lens' EMRStepMetadata (Maybe Text) Source #
The path to the log file where the cluster step's failure root cause is recorded.
eMRStepMetadata_stepId :: Lens' EMRStepMetadata (Maybe Text) Source #
The identifier of the EMR cluster step.
eMRStepMetadata_stepName :: Lens' EMRStepMetadata (Maybe Text) Source #
The name of the EMR cluster step.
Edge
edge_associationType :: Lens' Edge (Maybe AssociationEdgeType) Source #
The type of the Association(Edge) between the source and destination.
For example ContributedTo
, Produced
, or DerivedFrom
.
edge_destinationArn :: Lens' Edge (Maybe Text) Source #
The Amazon Resource Name (ARN) of the destination lineage entity of the directed edge.
edge_sourceArn :: Lens' Edge (Maybe Text) Source #
The Amazon Resource Name (ARN) of the source lineage entity of the directed edge.
EdgeDeploymentConfig
edgeDeploymentConfig_failureHandlingPolicy :: Lens' EdgeDeploymentConfig FailureHandlingPolicy Source #
Toggle that determines whether to rollback to previous configuration if the current deployment fails. By default this is turned on. You may turn this off if you want to investigate the errors yourself.
EdgeDeploymentModelConfig
edgeDeploymentModelConfig_modelHandle :: Lens' EdgeDeploymentModelConfig Text Source #
The name the device application uses to reference this model.
edgeDeploymentModelConfig_edgePackagingJobName :: Lens' EdgeDeploymentModelConfig Text Source #
The edge packaging job associated with this deployment.
EdgeDeploymentPlanSummary
edgeDeploymentPlanSummary_creationTime :: Lens' EdgeDeploymentPlanSummary (Maybe UTCTime) Source #
The time when the edge deployment plan was created.
edgeDeploymentPlanSummary_lastModifiedTime :: Lens' EdgeDeploymentPlanSummary (Maybe UTCTime) Source #
The time when the edge deployment plan was last updated.
edgeDeploymentPlanSummary_edgeDeploymentPlanArn :: Lens' EdgeDeploymentPlanSummary Text Source #
The ARN of the edge deployment plan.
edgeDeploymentPlanSummary_edgeDeploymentPlanName :: Lens' EdgeDeploymentPlanSummary Text Source #
The name of the edge deployment plan.
edgeDeploymentPlanSummary_deviceFleetName :: Lens' EdgeDeploymentPlanSummary Text Source #
The name of the device fleet used for the deployment.
edgeDeploymentPlanSummary_edgeDeploymentSuccess :: Lens' EdgeDeploymentPlanSummary Int Source #
The number of edge devices with the successful deployment.
edgeDeploymentPlanSummary_edgeDeploymentPending :: Lens' EdgeDeploymentPlanSummary Int Source #
The number of edge devices yet to pick up the deployment, or in progress.
edgeDeploymentPlanSummary_edgeDeploymentFailed :: Lens' EdgeDeploymentPlanSummary Int Source #
The number of edge devices that failed the deployment.
EdgeDeploymentStatus
edgeDeploymentStatus_edgeDeploymentStageStartTime :: Lens' EdgeDeploymentStatus (Maybe UTCTime) Source #
The time when the deployment API started.
edgeDeploymentStatus_edgeDeploymentStatusMessage :: Lens' EdgeDeploymentStatus (Maybe Text) Source #
A detailed message about deployment status in current stage.
edgeDeploymentStatus_stageStatus :: Lens' EdgeDeploymentStatus StageStatus Source #
The general status of the current stage.
edgeDeploymentStatus_edgeDeploymentSuccessInStage :: Lens' EdgeDeploymentStatus Int Source #
The number of edge devices with the successful deployment in the current stage.
edgeDeploymentStatus_edgeDeploymentPendingInStage :: Lens' EdgeDeploymentStatus Int Source #
The number of edge devices yet to pick up the deployment in current stage, or in progress.
edgeDeploymentStatus_edgeDeploymentFailedInStage :: Lens' EdgeDeploymentStatus Int Source #
The number of edge devices that failed the deployment in current stage.
EdgeModel
edgeModel_latestInference :: Lens' EdgeModel (Maybe UTCTime) Source #
The timestamp of the last inference that was made.
edgeModel_latestSampleTime :: Lens' EdgeModel (Maybe UTCTime) Source #
The timestamp of the last data sample taken.
EdgeModelStat
edgeModelStat_modelName :: Lens' EdgeModelStat Text Source #
The name of the model.
edgeModelStat_modelVersion :: Lens' EdgeModelStat Text Source #
The model version.
edgeModelStat_offlineDeviceCount :: Lens' EdgeModelStat Integer Source #
The number of devices that have this model version and do not have a heart beat.
edgeModelStat_connectedDeviceCount :: Lens' EdgeModelStat Integer Source #
The number of devices that have this model version and have a heart beat.
edgeModelStat_activeDeviceCount :: Lens' EdgeModelStat Integer Source #
The number of devices that have this model version, a heart beat, and are currently running.
edgeModelStat_samplingDeviceCount :: Lens' EdgeModelStat Integer Source #
The number of devices with this model version and are producing sample data.
EdgeModelSummary
edgeModelSummary_modelName :: Lens' EdgeModelSummary Text Source #
The name of the model.
edgeModelSummary_modelVersion :: Lens' EdgeModelSummary Text Source #
The version model.
EdgeOutputConfig
edgeOutputConfig_kmsKeyId :: Lens' EdgeOutputConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account.
edgeOutputConfig_presetDeploymentConfig :: Lens' EdgeOutputConfig (Maybe Text) Source #
The configuration used to create deployment artifacts. Specify configuration options with a JSON string. The available configuration options for each type are:
ComponentName
(optional) - Name of the GreenGrass V2 component. If not specified, the default name generated consists of "SagemakerEdgeManager" and the name of your SageMaker Edge Manager packaging job.ComponentDescription
(optional) - Description of the component.ComponentVersion
(optional) - The version of the component.Amazon Web Services IoT Greengrass uses semantic versions for components. Semantic versions follow a major.minor.patch number system. For example, version 1.0.0 represents the first major release for a component. For more information, see the semantic version specification.
PlatformOS
(optional) - The name of the operating system for the platform. Supported platforms include Windows and Linux.PlatformArchitecture
(optional) - The processor architecture for the platform.Supported architectures Windows include: Windows32_x86, Windows64_x64.
Supported architectures for Linux include: Linux x86_64, Linux ARMV8.
edgeOutputConfig_presetDeploymentType :: Lens' EdgeOutputConfig (Maybe EdgePresetDeploymentType) Source #
The deployment type SageMaker Edge Manager will create. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.
edgeOutputConfig_s3OutputLocation :: Lens' EdgeOutputConfig Text Source #
The Amazon Simple Storage (S3) bucker URI.
EdgePackagingJobSummary
edgePackagingJobSummary_compilationJobName :: Lens' EdgePackagingJobSummary (Maybe Text) Source #
The name of the SageMaker Neo compilation job.
edgePackagingJobSummary_creationTime :: Lens' EdgePackagingJobSummary (Maybe UTCTime) Source #
The timestamp of when the job was created.
edgePackagingJobSummary_lastModifiedTime :: Lens' EdgePackagingJobSummary (Maybe UTCTime) Source #
The timestamp of when the edge packaging job was last updated.
edgePackagingJobSummary_modelName :: Lens' EdgePackagingJobSummary (Maybe Text) Source #
The name of the model.
edgePackagingJobSummary_modelVersion :: Lens' EdgePackagingJobSummary (Maybe Text) Source #
The version of the model.
edgePackagingJobSummary_edgePackagingJobArn :: Lens' EdgePackagingJobSummary Text Source #
The Amazon Resource Name (ARN) of the edge packaging job.
edgePackagingJobSummary_edgePackagingJobName :: Lens' EdgePackagingJobSummary Text Source #
The name of the edge packaging job.
edgePackagingJobSummary_edgePackagingJobStatus :: Lens' EdgePackagingJobSummary EdgePackagingJobStatus Source #
The status of the edge packaging job.
EdgePresetDeploymentOutput
edgePresetDeploymentOutput_artifact :: Lens' EdgePresetDeploymentOutput (Maybe Text) Source #
The Amazon Resource Name (ARN) of the generated deployable resource.
edgePresetDeploymentOutput_status :: Lens' EdgePresetDeploymentOutput (Maybe EdgePresetDeploymentStatus) Source #
The status of the deployable resource.
edgePresetDeploymentOutput_statusMessage :: Lens' EdgePresetDeploymentOutput (Maybe Text) Source #
Returns a message describing the status of the deployed resource.
edgePresetDeploymentOutput_type :: Lens' EdgePresetDeploymentOutput EdgePresetDeploymentType Source #
The deployment type created by SageMaker Edge Manager. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.
Endpoint
endpoint_dataCaptureConfig :: Lens' Endpoint (Maybe DataCaptureConfigSummary) Source #
Undocumented member.
endpoint_failureReason :: Lens' Endpoint (Maybe Text) Source #
If the endpoint failed, the reason it failed.
endpoint_monitoringSchedules :: Lens' Endpoint (Maybe [MonitoringSchedule]) Source #
A list of monitoring schedules for the endpoint. For information about model monitoring, see Amazon SageMaker Model Monitor.
endpoint_productionVariants :: Lens' Endpoint (Maybe (NonEmpty ProductionVariantSummary)) Source #
A list of the production variants hosted on the endpoint. Each production variant is a model.
endpoint_shadowProductionVariants :: Lens' Endpoint (Maybe (NonEmpty ProductionVariantSummary)) Source #
A list of the shadow variants hosted on the endpoint. Each shadow variant is a model in shadow mode with production traffic replicated from the proudction variant.
endpoint_tags :: Lens' Endpoint (Maybe [Tag]) Source #
A list of the tags associated with the endpoint. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
endpoint_endpointConfigName :: Lens' Endpoint Text Source #
The endpoint configuration associated with the endpoint.
endpoint_endpointStatus :: Lens' Endpoint EndpointStatus Source #
The status of the endpoint.
endpoint_lastModifiedTime :: Lens' Endpoint UTCTime Source #
The last time the endpoint was modified.
EndpointConfigSummary
endpointConfigSummary_endpointConfigName :: Lens' EndpointConfigSummary Text Source #
The name of the endpoint configuration.
endpointConfigSummary_endpointConfigArn :: Lens' EndpointConfigSummary Text Source #
The Amazon Resource Name (ARN) of the endpoint configuration.
endpointConfigSummary_creationTime :: Lens' EndpointConfigSummary UTCTime Source #
A timestamp that shows when the endpoint configuration was created.
EndpointInfo
endpointInfo_endpointName :: Lens' EndpointInfo Text Source #
The name of a customer's endpoint.
EndpointInput
endpointInput_endTimeOffset :: Lens' EndpointInput (Maybe Text) Source #
If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
endpointInput_featuresAttribute :: Lens' EndpointInput (Maybe Text) Source #
The attributes of the input data that are the input features.
endpointInput_inferenceAttribute :: Lens' EndpointInput (Maybe Text) Source #
The attribute of the input data that represents the ground truth label.
endpointInput_probabilityAttribute :: Lens' EndpointInput (Maybe Text) Source #
In a classification problem, the attribute that represents the class probability.
endpointInput_probabilityThresholdAttribute :: Lens' EndpointInput (Maybe Double) Source #
The threshold for the class probability to be evaluated as a positive result.
endpointInput_s3DataDistributionType :: Lens' EndpointInput (Maybe ProcessingS3DataDistributionType) Source #
Whether input data distributed in Amazon S3 is fully replicated or
sharded by an S3 key. Defaults to FullyReplicated
endpointInput_s3InputMode :: Lens' EndpointInput (Maybe ProcessingS3InputMode) Source #
Whether the Pipe
or File
is used as the input mode for transferring
data for the monitoring job. Pipe
mode is recommended for large
datasets. File
mode is useful for small files that fit in memory.
Defaults to File
.
endpointInput_startTimeOffset :: Lens' EndpointInput (Maybe Text) Source #
If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
endpointInput_endpointName :: Lens' EndpointInput Text Source #
An endpoint in customer's account which has enabled DataCaptureConfig
enabled.
endpointInput_localPath :: Lens' EndpointInput Text Source #
Path to the filesystem where the endpoint data is available to the container.
EndpointInputConfiguration
endpointInputConfiguration_environmentParameterRanges :: Lens' EndpointInputConfiguration (Maybe EnvironmentParameterRanges) Source #
The parameter you want to benchmark against.
endpointInputConfiguration_inferenceSpecificationName :: Lens' EndpointInputConfiguration (Maybe Text) Source #
The inference specification name in the model package version.
endpointInputConfiguration_instanceType :: Lens' EndpointInputConfiguration ProductionVariantInstanceType Source #
The instance types to use for the load test.
EndpointMetadata
endpointMetadata_endpointConfigName :: Lens' EndpointMetadata (Maybe Text) Source #
The name of the endpoint configuration.
endpointMetadata_endpointStatus :: Lens' EndpointMetadata (Maybe EndpointStatus) Source #
The status of the endpoint. For possible values of the status of an endpoint, see EndpointSummary$EndpointStatus.
endpointMetadata_failureReason :: Lens' EndpointMetadata (Maybe Text) Source #
If the status of the endpoint is Failed
, or the status is InService
but update operation fails, this provides the reason why it failed.
endpointMetadata_endpointName :: Lens' EndpointMetadata Text Source #
The name of the endpoint.
EndpointOutputConfiguration
endpointOutputConfiguration_endpointName :: Lens' EndpointOutputConfiguration Text Source #
The name of the endpoint made during a recommendation job.
endpointOutputConfiguration_variantName :: Lens' EndpointOutputConfiguration Text Source #
The name of the production variant (deployed model) made during a recommendation job.
endpointOutputConfiguration_instanceType :: Lens' EndpointOutputConfiguration ProductionVariantInstanceType Source #
The instance type recommended by Amazon SageMaker Inference Recommender.
endpointOutputConfiguration_initialInstanceCount :: Lens' EndpointOutputConfiguration Int Source #
The number of instances recommended to launch initially.
EndpointPerformance
endpointPerformance_metrics :: Lens' EndpointPerformance InferenceMetrics Source #
The metrics for an existing endpoint.
endpointPerformance_endpointInfo :: Lens' EndpointPerformance EndpointInfo Source #
Undocumented member.
EndpointSummary
endpointSummary_endpointName :: Lens' EndpointSummary Text Source #
The name of the endpoint.
endpointSummary_endpointArn :: Lens' EndpointSummary Text Source #
The Amazon Resource Name (ARN) of the endpoint.
endpointSummary_creationTime :: Lens' EndpointSummary UTCTime Source #
A timestamp that shows when the endpoint was created.
endpointSummary_lastModifiedTime :: Lens' EndpointSummary UTCTime Source #
A timestamp that shows when the endpoint was last modified.
endpointSummary_endpointStatus :: Lens' EndpointSummary EndpointStatus Source #
The status of the endpoint.
OutOfService
: Endpoint is not available to take incoming requests.Creating
: CreateEndpoint is executing.Updating
: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.SystemUpdating
: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.RollingBack
: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to anInService
status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.InService
: Endpoint is available to process incoming requests.Deleting
: DeleteEndpoint is executing.Failed
: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.
To get a list of endpoints with a specified status, use the ListEndpointsInput$StatusEquals filter.
EnvironmentParameter
environmentParameter_key :: Lens' EnvironmentParameter Text Source #
The environment key suggested by the Amazon SageMaker Inference Recommender.
environmentParameter_valueType :: Lens' EnvironmentParameter Text Source #
The value type suggested by the Amazon SageMaker Inference Recommender.
environmentParameter_value :: Lens' EnvironmentParameter Text Source #
The value suggested by the Amazon SageMaker Inference Recommender.
EnvironmentParameterRanges
environmentParameterRanges_categoricalParameterRanges :: Lens' EnvironmentParameterRanges (Maybe (NonEmpty CategoricalParameter)) Source #
Specified a list of parameters for each category.
Experiment
experiment_createdBy :: Lens' Experiment (Maybe UserContext) Source #
Who created the experiment.
experiment_creationTime :: Lens' Experiment (Maybe UTCTime) Source #
When the experiment was created.
experiment_description :: Lens' Experiment (Maybe Text) Source #
The description of the experiment.
experiment_displayName :: Lens' Experiment (Maybe Text) Source #
The name of the experiment as displayed. If DisplayName
isn't
specified, ExperimentName
is displayed.
experiment_experimentArn :: Lens' Experiment (Maybe Text) Source #
The Amazon Resource Name (ARN) of the experiment.
experiment_experimentName :: Lens' Experiment (Maybe Text) Source #
The name of the experiment.
experiment_lastModifiedBy :: Lens' Experiment (Maybe UserContext) Source #
Undocumented member.
experiment_lastModifiedTime :: Lens' Experiment (Maybe UTCTime) Source #
When the experiment was last modified.
experiment_source :: Lens' Experiment (Maybe ExperimentSource) Source #
Undocumented member.
experiment_tags :: Lens' Experiment (Maybe [Tag]) Source #
The list of tags that are associated with the experiment. You can use Search API to search on the tags.
ExperimentConfig
experimentConfig_experimentName :: Lens' ExperimentConfig (Maybe Text) Source #
The name of an existing experiment to associate with the trial component.
experimentConfig_runName :: Lens' ExperimentConfig (Maybe Text) Source #
The name of the experiment run to associate with the trial component.
experimentConfig_trialComponentDisplayName :: Lens' ExperimentConfig (Maybe Text) Source #
The display name for the trial component. If this key isn't specified, the display name is the trial component name.
experimentConfig_trialName :: Lens' ExperimentConfig (Maybe Text) Source #
The name of an existing trial to associate the trial component with. If not specified, a new trial is created.
ExperimentSource
experimentSource_sourceType :: Lens' ExperimentSource (Maybe Text) Source #
The source type.
experimentSource_sourceArn :: Lens' ExperimentSource Text Source #
The Amazon Resource Name (ARN) of the source.
ExperimentSummary
experimentSummary_creationTime :: Lens' ExperimentSummary (Maybe UTCTime) Source #
When the experiment was created.
experimentSummary_displayName :: Lens' ExperimentSummary (Maybe Text) Source #
The name of the experiment as displayed. If DisplayName
isn't
specified, ExperimentName
is displayed.
experimentSummary_experimentArn :: Lens' ExperimentSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the experiment.
experimentSummary_experimentName :: Lens' ExperimentSummary (Maybe Text) Source #
The name of the experiment.
experimentSummary_experimentSource :: Lens' ExperimentSummary (Maybe ExperimentSource) Source #
Undocumented member.
experimentSummary_lastModifiedTime :: Lens' ExperimentSummary (Maybe UTCTime) Source #
When the experiment was last modified.
Explainability
explainability_report :: Lens' Explainability (Maybe MetricsSource) Source #
The explainability report for a model.
ExplainerConfig
explainerConfig_clarifyExplainerConfig :: Lens' ExplainerConfig (Maybe ClarifyExplainerConfig) Source #
A member of ExplainerConfig
that contains configuration parameters for
the SageMaker Clarify explainer.
FailStepMetadata
failStepMetadata_errorMessage :: Lens' FailStepMetadata (Maybe Text) Source #
A message that you define and then is processed and rendered by the Fail step when the error occurs.
FeatureDefinition
featureDefinition_featureName :: Lens' FeatureDefinition (Maybe Text) Source #
The name of a feature. The type must be a string. FeatureName
cannot
be any of the following: is_deleted
, write_time
,
api_invocation_time
.
featureDefinition_featureType :: Lens' FeatureDefinition (Maybe FeatureType) Source #
The value type of a feature. Valid values are Integral, Fractional, or String.
FeatureGroup
featureGroup_creationTime :: Lens' FeatureGroup (Maybe UTCTime) Source #
The time a FeatureGroup
was created.
featureGroup_description :: Lens' FeatureGroup (Maybe Text) Source #
A free form description of a FeatureGroup
.
featureGroup_eventTimeFeatureName :: Lens' FeatureGroup (Maybe Text) Source #
The name of the feature that stores the EventTime
of a Record in a
FeatureGroup
.
A EventTime
is point in time when a new event occurs that corresponds
to the creation or update of a Record
in FeatureGroup
. All Records
in the FeatureGroup
must have a corresponding EventTime
.
featureGroup_failureReason :: Lens' FeatureGroup (Maybe Text) Source #
The reason that the FeatureGroup
failed to be replicated in the
OfflineStore
. This is failure may be due to a failure to create a
FeatureGroup
in or delete a FeatureGroup
from the OfflineStore
.
featureGroup_featureDefinitions :: Lens' FeatureGroup (Maybe (NonEmpty FeatureDefinition)) Source #
A list of Feature
s. Each Feature
must include a FeatureName
and a
FeatureType
.
Valid FeatureType
s are Integral
, Fractional
and String
.
FeatureName
s cannot be any of the following: is_deleted
,
write_time
, api_invocation_time
.
You can create up to 2,500 FeatureDefinition
s per FeatureGroup
.
featureGroup_featureGroupArn :: Lens' FeatureGroup (Maybe Text) Source #
The Amazon Resource Name (ARN) of a FeatureGroup
.
featureGroup_featureGroupName :: Lens' FeatureGroup (Maybe Text) Source #
The name of the FeatureGroup
.
featureGroup_featureGroupStatus :: Lens' FeatureGroup (Maybe FeatureGroupStatus) Source #
A FeatureGroup
status.
featureGroup_lastModifiedTime :: Lens' FeatureGroup (Maybe UTCTime) Source #
A timestamp indicating the last time you updated the feature group.
featureGroup_lastUpdateStatus :: Lens' FeatureGroup (Maybe LastUpdateStatus) Source #
A value that indicates whether the feature group was updated successfully.
featureGroup_offlineStoreConfig :: Lens' FeatureGroup (Maybe OfflineStoreConfig) Source #
Undocumented member.
featureGroup_offlineStoreStatus :: Lens' FeatureGroup (Maybe OfflineStoreStatus) Source #
Undocumented member.
featureGroup_onlineStoreConfig :: Lens' FeatureGroup (Maybe OnlineStoreConfig) Source #
Undocumented member.
featureGroup_recordIdentifierFeatureName :: Lens' FeatureGroup (Maybe Text) Source #
The name of the Feature
whose value uniquely identifies a Record
defined in the FeatureGroup
FeatureDefinitions
.
featureGroup_roleArn :: Lens' FeatureGroup (Maybe Text) Source #
The Amazon Resource Name (ARN) of the IAM execution role used to create the feature group.
featureGroup_tags :: Lens' FeatureGroup (Maybe [Tag]) Source #
Tags used to define a FeatureGroup
.
FeatureGroupSummary
featureGroupSummary_featureGroupStatus :: Lens' FeatureGroupSummary (Maybe FeatureGroupStatus) Source #
The status of a FeatureGroup. The status can be any of the following:
Creating
, Created
, CreateFail
, Deleting
or DetailFail
.
featureGroupSummary_offlineStoreStatus :: Lens' FeatureGroupSummary (Maybe OfflineStoreStatus) Source #
Notifies you if replicating data into the OfflineStore
has failed.
Returns either: Active
or Blocked
.
featureGroupSummary_featureGroupName :: Lens' FeatureGroupSummary Text Source #
The name of FeatureGroup
.
featureGroupSummary_featureGroupArn :: Lens' FeatureGroupSummary Text Source #
Unique identifier for the FeatureGroup
.
featureGroupSummary_creationTime :: Lens' FeatureGroupSummary UTCTime Source #
A timestamp indicating the time of creation time of the FeatureGroup
.
FeatureMetadata
featureMetadata_creationTime :: Lens' FeatureMetadata (Maybe UTCTime) Source #
A timestamp indicating when the feature was created.
featureMetadata_description :: Lens' FeatureMetadata (Maybe Text) Source #
An optional description that you specify to better describe the feature.
featureMetadata_featureGroupArn :: Lens' FeatureMetadata (Maybe Text) Source #
The Amazon Resource Number (ARN) of the feature group.
featureMetadata_featureGroupName :: Lens' FeatureMetadata (Maybe Text) Source #
The name of the feature group containing the feature.
featureMetadata_featureName :: Lens' FeatureMetadata (Maybe Text) Source #
The name of feature.
featureMetadata_featureType :: Lens' FeatureMetadata (Maybe FeatureType) Source #
The data type of the feature.
featureMetadata_lastModifiedTime :: Lens' FeatureMetadata (Maybe UTCTime) Source #
A timestamp indicating when the feature was last modified.
featureMetadata_parameters :: Lens' FeatureMetadata (Maybe [FeatureParameter]) Source #
Optional key-value pairs that you specify to better describe the feature.
FeatureParameter
featureParameter_key :: Lens' FeatureParameter (Maybe Text) Source #
A key that must contain a value to describe the feature.
featureParameter_value :: Lens' FeatureParameter (Maybe Text) Source #
The value that belongs to a key.
FileSource
fileSource_contentDigest :: Lens' FileSource (Maybe Text) Source #
The digest of the file source.
fileSource_contentType :: Lens' FileSource (Maybe Text) Source #
The type of content stored in the file source.
fileSource_s3Uri :: Lens' FileSource Text Source #
The Amazon S3 URI for the file source.
FileSystemConfig
fileSystemConfig_defaultGid :: Lens' FileSystemConfig (Maybe Natural) Source #
The default POSIX group ID (GID). If not specified, defaults to 100
.
fileSystemConfig_defaultUid :: Lens' FileSystemConfig (Maybe Natural) Source #
The default POSIX user ID (UID). If not specified, defaults to 1000
.
fileSystemConfig_mountPath :: Lens' FileSystemConfig (Maybe Text) Source #
The path within the image to mount the user's EFS home directory. The directory should be empty. If not specified, defaults to /home/sagemaker-user.
FileSystemDataSource
fileSystemDataSource_fileSystemId :: Lens' FileSystemDataSource Text Source #
The file system id.
fileSystemDataSource_fileSystemAccessMode :: Lens' FileSystemDataSource FileSystemAccessMode Source #
The access mode of the mount of the directory associated with the
channel. A directory can be mounted either in ro
(read-only) or rw
(read-write) mode.
fileSystemDataSource_fileSystemType :: Lens' FileSystemDataSource FileSystemType Source #
The file system type.
fileSystemDataSource_directoryPath :: Lens' FileSystemDataSource Text Source #
The full path to the directory to associate with the channel.
Filter
filter_operator :: Lens' Filter (Maybe Operator) Source #
A Boolean binary operator that is used to evaluate the filter. The operator field contains one of the following values:
- Equals
- The value of
Name
equalsValue
. - NotEquals
- The value of
Name
doesn't equalValue
. - Exists
- The
Name
property exists. - NotExists
- The
Name
property does not exist. - GreaterThan
- The value of
Name
is greater thanValue
. Not supported for text properties. - GreaterThanOrEqualTo
- The value of
Name
is greater than or equal toValue
. Not supported for text properties. - LessThan
- The value of
Name
is less thanValue
. Not supported for text properties. - LessThanOrEqualTo
- The value of
Name
is less than or equal toValue
. Not supported for text properties. - In
- The value of
Name
is one of the comma delimited strings inValue
. Only supported for text properties. - Contains
- The value of
Name
contains the stringValue
. Only supported for text properties.A
SearchExpression
can include theContains
operator multiple times when the value ofName
is one of the following:Experiment.DisplayName
Experiment.ExperimentName
Experiment.Tags
Trial.DisplayName
Trial.TrialName
Trial.Tags
TrialComponent.DisplayName
TrialComponent.TrialComponentName
TrialComponent.Tags
TrialComponent.InputArtifacts
TrialComponent.OutputArtifacts
A
SearchExpression
can include only oneContains
operator for all other values ofName
. In these cases, if you include multipleContains
operators in theSearchExpression
, the result is the following error message: "'CONTAINS' operator usage limit of 1 exceeded.
"
filter_value :: Lens' Filter (Maybe Text) Source #
A value used with Name
and Operator
to determine which resources
satisfy the filter's condition. For numerical properties, Value
must
be an integer or floating-point decimal. For timestamp properties,
Value
must be an ISO 8601 date-time string of the following format:
YYYY-mm-dd'T'HH:MM:SS
.
filter_name :: Lens' Filter Text Source #
A resource property name. For example, TrainingJobName
. For valid
property names, see SearchRecord. You must specify a valid property for
the resource.
FinalAutoMLJobObjectiveMetric
finalAutoMLJobObjectiveMetric_type :: Lens' FinalAutoMLJobObjectiveMetric (Maybe AutoMLJobObjectiveType) Source #
The type of metric with the best result.
finalAutoMLJobObjectiveMetric_metricName :: Lens' FinalAutoMLJobObjectiveMetric AutoMLMetricEnum Source #
The name of the metric with the best result. For a description of the possible objective metrics, see AutoMLJobObjective$MetricName.
finalAutoMLJobObjectiveMetric_value :: Lens' FinalAutoMLJobObjectiveMetric Double Source #
The value of the metric with the best result.
FinalHyperParameterTuningJobObjectiveMetric
finalHyperParameterTuningJobObjectiveMetric_type :: Lens' FinalHyperParameterTuningJobObjectiveMetric (Maybe HyperParameterTuningJobObjectiveType) Source #
Whether to minimize or maximize the objective metric. Valid values are Minimize and Maximize.
finalHyperParameterTuningJobObjectiveMetric_metricName :: Lens' FinalHyperParameterTuningJobObjectiveMetric Text Source #
The name of the objective metric.
finalHyperParameterTuningJobObjectiveMetric_value :: Lens' FinalHyperParameterTuningJobObjectiveMetric Double Source #
The value of the objective metric.
FlowDefinitionOutputConfig
flowDefinitionOutputConfig_kmsKeyId :: Lens' FlowDefinitionOutputConfig (Maybe Text) Source #
The Amazon Key Management Service (KMS) key ID for server-side encryption.
flowDefinitionOutputConfig_s3OutputPath :: Lens' FlowDefinitionOutputConfig Text Source #
The Amazon S3 path where the object containing human output will be made available.
To learn more about the format of Amazon A2I output data, see Amazon A2I Output Data.
FlowDefinitionSummary
flowDefinitionSummary_failureReason :: Lens' FlowDefinitionSummary (Maybe Text) Source #
The reason why the flow definition creation failed. A failure reason is
returned only when the flow definition status is Failed
.
flowDefinitionSummary_flowDefinitionName :: Lens' FlowDefinitionSummary Text Source #
The name of the flow definition.
flowDefinitionSummary_flowDefinitionArn :: Lens' FlowDefinitionSummary Text Source #
The Amazon Resource Name (ARN) of the flow definition.
flowDefinitionSummary_flowDefinitionStatus :: Lens' FlowDefinitionSummary FlowDefinitionStatus Source #
The status of the flow definition. Valid values:
flowDefinitionSummary_creationTime :: Lens' FlowDefinitionSummary UTCTime Source #
The timestamp when SageMaker created the flow definition.
GitConfig
gitConfig_secretArn :: Lens' GitConfig (Maybe Text) Source #
The Amazon Resource Name (ARN) of the Amazon Web Services Secrets
Manager secret that contains the credentials used to access the git
repository. The secret must have a staging label of AWSCURRENT
and
must be in the following format:
{"username":
UserName
, "password":
Password
}
gitConfig_repositoryUrl :: Lens' GitConfig Text Source #
The URL where the Git repository is located.
GitConfigForUpdate
gitConfigForUpdate_secretArn :: Lens' GitConfigForUpdate (Maybe Text) Source #
The Amazon Resource Name (ARN) of the Amazon Web Services Secrets
Manager secret that contains the credentials used to access the git
repository. The secret must have a staging label of AWSCURRENT
and
must be in the following format:
{"username":
UserName
, "password":
Password
}
HubContentDependency
hubContentDependency_dependencyCopyPath :: Lens' HubContentDependency (Maybe Text) Source #
The hub content dependency copy path.
hubContentDependency_dependencyOriginPath :: Lens' HubContentDependency (Maybe Text) Source #
The hub content dependency origin path.
HubContentInfo
hubContentInfo_hubContentDescription :: Lens' HubContentInfo (Maybe Text) Source #
A description of the hub content.
hubContentInfo_hubContentDisplayName :: Lens' HubContentInfo (Maybe Text) Source #
The display name of the hub content.
hubContentInfo_hubContentSearchKeywords :: Lens' HubContentInfo (Maybe [Text]) Source #
The searchable keywords for the hub content.
hubContentInfo_hubContentName :: Lens' HubContentInfo Text Source #
The name of the hub content.
hubContentInfo_hubContentArn :: Lens' HubContentInfo Text Source #
The Amazon Resource Name (ARN) of the hub content.
hubContentInfo_hubContentVersion :: Lens' HubContentInfo Text Source #
The version of the hub content.
hubContentInfo_hubContentType :: Lens' HubContentInfo HubContentType Source #
The type of hub content.
hubContentInfo_documentSchemaVersion :: Lens' HubContentInfo Text Source #
The version of the hub content document schema.
hubContentInfo_hubContentStatus :: Lens' HubContentInfo HubContentStatus Source #
The status of the hub content.
hubContentInfo_creationTime :: Lens' HubContentInfo UTCTime Source #
The date and time that the hub content was created.
HubInfo
hubInfo_hubSearchKeywords :: Lens' HubInfo (Maybe [Text]) Source #
The searchable keywords for the hub.
hubInfo_lastModifiedTime :: Lens' HubInfo UTCTime Source #
The date and time that the hub was last modified.
HubS3StorageConfig
hubS3StorageConfig_s3OutputPath :: Lens' HubS3StorageConfig (Maybe Text) Source #
The Amazon S3 output path for the hub.
HumanLoopActivationConditionsConfig
humanLoopActivationConditionsConfig_humanLoopActivationConditions :: Lens' HumanLoopActivationConditionsConfig Text Source #
JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI in the Amazon SageMaker Developer Guide.
HumanLoopActivationConfig
humanLoopActivationConfig_humanLoopActivationConditionsConfig :: Lens' HumanLoopActivationConfig HumanLoopActivationConditionsConfig Source #
Container structure for defining under what conditions SageMaker creates a human loop.
HumanLoopConfig
humanLoopConfig_publicWorkforceTaskPrice :: Lens' HumanLoopConfig (Maybe PublicWorkforceTaskPrice) Source #
Undocumented member.
humanLoopConfig_taskAvailabilityLifetimeInSeconds :: Lens' HumanLoopConfig (Maybe Natural) Source #
The length of time that a task remains available for review by human workers.
humanLoopConfig_taskKeywords :: Lens' HumanLoopConfig (Maybe (NonEmpty Text)) Source #
Keywords used to describe the task so that workers can discover the task.
humanLoopConfig_taskTimeLimitInSeconds :: Lens' HumanLoopConfig (Maybe Natural) Source #
The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).
humanLoopConfig_workteamArn :: Lens' HumanLoopConfig Text Source #
Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see Create and Manage Workforces.
humanLoopConfig_humanTaskUiArn :: Lens' HumanLoopConfig Text Source #
The Amazon Resource Name (ARN) of the human task user interface.
You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.
To learn how to create a custom HTML template, see Create Custom Worker Task Template.
To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see Create and Delete a Worker Task Templates.
humanLoopConfig_taskTitle :: Lens' HumanLoopConfig Text Source #
A title for the human worker task.
humanLoopConfig_taskDescription :: Lens' HumanLoopConfig Text Source #
A description for the human worker task.
humanLoopConfig_taskCount :: Lens' HumanLoopConfig Natural Source #
The number of distinct workers who will perform the same task on each
object. For example, if TaskCount
is set to 3
for an image
classification labeling job, three workers will classify each input
image. Increasing TaskCount
can improve label accuracy.
HumanLoopRequestSource
humanLoopRequestSource_awsManagedHumanLoopRequestSource :: Lens' HumanLoopRequestSource AwsManagedHumanLoopRequestSource Source #
Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source. The default field settings and JSON parsing rules are different based on the integration source. Valid values:
HumanTaskConfig
humanTaskConfig_maxConcurrentTaskCount :: Lens' HumanTaskConfig (Maybe Natural) Source #
Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects. To increase the maximum value to 5000 objects, contact Amazon Web Services Support.
humanTaskConfig_publicWorkforceTaskPrice :: Lens' HumanTaskConfig (Maybe PublicWorkforceTaskPrice) Source #
The price that you pay for each task performed by an Amazon Mechanical Turk worker.
humanTaskConfig_taskAvailabilityLifetimeInSeconds :: Lens' HumanTaskConfig (Maybe Natural) Source #
The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.
- If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).
- If you choose a private or vendor workforce, the default value is 30 days (2592,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.
humanTaskConfig_taskKeywords :: Lens' HumanTaskConfig (Maybe (NonEmpty Text)) Source #
Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
humanTaskConfig_workteamArn :: Lens' HumanTaskConfig Text Source #
The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
humanTaskConfig_uiConfig :: Lens' HumanTaskConfig UiConfig Source #
Information about the user interface that workers use to complete the labeling task.
humanTaskConfig_preHumanTaskLambdaArn :: Lens' HumanTaskConfig Text Source #
The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.
For
built-in task types,
use one of the following Amazon SageMaker Ground Truth Lambda function
ARNs for PreHumanTaskLambdaArn
. For custom labeling workflows, see
Pre-annotation Lambda.
Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.
arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox
arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox
arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox
Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass
arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass
arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass
Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel
Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation
Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass
arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass
arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass
Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel
Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.
arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition
arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition
arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition
arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition
arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition
arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition
arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition
Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass
arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass
arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass
Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection
Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking
3D Point Cloud Modalities
Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.
3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection
3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.
arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking
3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.
arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation
Use the following ARNs for Label Verification and Adjustment Jobs
Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .
Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox
Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox
Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation
Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation
Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection
Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking
3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.
arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection
3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.
arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking
3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.
arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation
humanTaskConfig_taskTitle :: Lens' HumanTaskConfig Text Source #
A title for the task for your human workers.
humanTaskConfig_taskDescription :: Lens' HumanTaskConfig Text Source #
A description of the task for your human workers.
humanTaskConfig_numberOfHumanWorkersPerDataObject :: Lens' HumanTaskConfig Natural Source #
The number of human workers that will label an object.
humanTaskConfig_taskTimeLimitInSeconds :: Lens' HumanTaskConfig Natural Source #
The amount of time that a worker has to complete a task.
If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).
If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:
- For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
- For 3D point cloud and video frame labeling jobs, the maximum is 30 days (2952,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.
humanTaskConfig_annotationConsolidationConfig :: Lens' HumanTaskConfig AnnotationConsolidationConfig Source #
Configures how labels are consolidated across human workers.
HumanTaskUiSummary
humanTaskUiSummary_humanTaskUiName :: Lens' HumanTaskUiSummary Text Source #
The name of the human task user interface.
humanTaskUiSummary_humanTaskUiArn :: Lens' HumanTaskUiSummary Text Source #
The Amazon Resource Name (ARN) of the human task user interface.
humanTaskUiSummary_creationTime :: Lens' HumanTaskUiSummary UTCTime Source #
A timestamp when SageMaker created the human task user interface.
HyperParameterAlgorithmSpecification
hyperParameterAlgorithmSpecification_algorithmName :: Lens' HyperParameterAlgorithmSpecification (Maybe Text) Source #
The name of the resource algorithm to use for the hyperparameter tuning
job. If you specify a value for this parameter, do not specify a value
for TrainingImage
.
hyperParameterAlgorithmSpecification_metricDefinitions :: Lens' HyperParameterAlgorithmSpecification (Maybe [MetricDefinition]) Source #
An array of MetricDefinition objects that specify the metrics that the algorithm emits.
hyperParameterAlgorithmSpecification_trainingImage :: Lens' HyperParameterAlgorithmSpecification (Maybe Text) Source #
The registry path of the Docker image that contains the training
algorithm. For information about Docker registry paths for built-in
algorithms, see
Algorithms Provided by Amazon SageMaker: Common Parameters.
SageMaker supports both registry/repository[:tag]
and
registry/repository[@digest]
image path formats. For more
information, see
Using Your Own Algorithms with Amazon SageMaker.
hyperParameterAlgorithmSpecification_trainingInputMode :: Lens' HyperParameterAlgorithmSpecification TrainingInputMode Source #
Undocumented member.
HyperParameterSpecification
hyperParameterSpecification_defaultValue :: Lens' HyperParameterSpecification (Maybe Text) Source #
The default value for this hyperparameter. If a default value is specified, a hyperparameter cannot be required.
hyperParameterSpecification_description :: Lens' HyperParameterSpecification (Maybe Text) Source #
A brief description of the hyperparameter.
hyperParameterSpecification_isRequired :: Lens' HyperParameterSpecification (Maybe Bool) Source #
Indicates whether this hyperparameter is required.
hyperParameterSpecification_isTunable :: Lens' HyperParameterSpecification (Maybe Bool) Source #
Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
hyperParameterSpecification_range :: Lens' HyperParameterSpecification (Maybe ParameterRange) Source #
The allowed range for this hyperparameter.
hyperParameterSpecification_name :: Lens' HyperParameterSpecification Text Source #
The name of this hyperparameter. The name must be unique.
hyperParameterSpecification_type :: Lens' HyperParameterSpecification ParameterType Source #
The type of this hyperparameter. The valid types are Integer
,
Continuous
, Categorical
, and FreeText
.
HyperParameterTrainingJobDefinition
hyperParameterTrainingJobDefinition_checkpointConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe CheckpointConfig) Source #
Undocumented member.
hyperParameterTrainingJobDefinition_definitionName :: Lens' HyperParameterTrainingJobDefinition (Maybe Text) Source #
The job definition name.
hyperParameterTrainingJobDefinition_enableInterContainerTrafficEncryption :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool) Source #
To encrypt all communications between ML compute instances in
distributed training, choose True
. Encryption provides greater
security for distributed training, but training might take longer. How
long it takes depends on the amount of communication between compute
instances, especially if you use a deep learning algorithm in
distributed training.
hyperParameterTrainingJobDefinition_enableManagedSpotTraining :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool) Source #
A Boolean indicating whether managed spot training is enabled (True
)
or not (False
).
hyperParameterTrainingJobDefinition_enableNetworkIsolation :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool) Source #
Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
hyperParameterTrainingJobDefinition_hyperParameterRanges :: Lens' HyperParameterTrainingJobDefinition (Maybe ParameterRanges) Source #
Undocumented member.
hyperParameterTrainingJobDefinition_hyperParameterTuningResourceConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe HyperParameterTuningResourceConfig) Source #
The configuration for the hyperparameter tuning resources, including the
compute instances and storage volumes, used for training jobs launched
by the tuning job. By default, storage volumes hold model artifacts and
incremental states. Choose File
for TrainingInputMode
in the
AlgorithmSpecification
parameter to additionally store training data
in the storage volume (optional).
hyperParameterTrainingJobDefinition_inputDataConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe (NonEmpty Channel)) Source #
An array of Channel objects that specify the input for the training jobs that the tuning job launches.
hyperParameterTrainingJobDefinition_resourceConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe ResourceConfig) Source #
The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.
Storage volumes store model artifacts and incremental states. Training
algorithms might also use storage volumes for scratch space. If you want
SageMaker to use the storage volume to store the training data, choose
File
as the TrainingInputMode
in the algorithm specification. For
distributed training algorithms, specify an instance count greater than
1.
If you want to use hyperparameter optimization with instance type
flexibility, use HyperParameterTuningResourceConfig
instead.
hyperParameterTrainingJobDefinition_retryStrategy :: Lens' HyperParameterTrainingJobDefinition (Maybe RetryStrategy) Source #
The number of times to retry the job when the job fails due to an
InternalServerError
.
hyperParameterTrainingJobDefinition_staticHyperParameters :: Lens' HyperParameterTrainingJobDefinition (Maybe (HashMap Text Text)) Source #
Specifies the values of hyperparameters that do not change for the tuning job.
hyperParameterTrainingJobDefinition_tuningObjective :: Lens' HyperParameterTrainingJobDefinition (Maybe HyperParameterTuningJobObjective) Source #
Undocumented member.
hyperParameterTrainingJobDefinition_vpcConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe VpcConfig) Source #
The VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
hyperParameterTrainingJobDefinition_algorithmSpecification :: Lens' HyperParameterTrainingJobDefinition HyperParameterAlgorithmSpecification Source #
The HyperParameterAlgorithmSpecification object that specifies the resource algorithm to use for the training jobs that the tuning job launches.
hyperParameterTrainingJobDefinition_roleArn :: Lens' HyperParameterTrainingJobDefinition Text Source #
The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.
hyperParameterTrainingJobDefinition_outputDataConfig :: Lens' HyperParameterTrainingJobDefinition OutputDataConfig Source #
Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning job launches.
hyperParameterTrainingJobDefinition_stoppingCondition :: Lens' HyperParameterTrainingJobDefinition StoppingCondition Source #
Specifies a limit to how long a model hyperparameter training job can run. It also specifies how long a managed spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
HyperParameterTrainingJobSummary
hyperParameterTrainingJobSummary_failureReason :: Lens' HyperParameterTrainingJobSummary (Maybe Text) Source #
The reason that the training job failed.
hyperParameterTrainingJobSummary_finalHyperParameterTuningJobObjectiveMetric :: Lens' HyperParameterTrainingJobSummary (Maybe FinalHyperParameterTuningJobObjectiveMetric) Source #
The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job.
hyperParameterTrainingJobSummary_objectiveStatus :: Lens' HyperParameterTrainingJobSummary (Maybe ObjectiveStatus) Source #
The status of the objective metric for the training job:
- Succeeded: The final objective metric for the training job was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
- Pending: The training job is in progress and evaluation of its final objective metric is pending.
- Failed: The final objective metric for the training job was not evaluated, and was not used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.
hyperParameterTrainingJobSummary_trainingEndTime :: Lens' HyperParameterTrainingJobSummary (Maybe UTCTime) Source #
Specifies the time when the training job ends on training instances. You
are billed for the time interval between the value of
TrainingStartTime
and this time. For successful jobs and stopped jobs,
this is the time after model artifacts are uploaded. For failed jobs,
this is the time when SageMaker detects a job failure.
hyperParameterTrainingJobSummary_trainingJobDefinitionName :: Lens' HyperParameterTrainingJobSummary (Maybe Text) Source #
The training job definition name.
hyperParameterTrainingJobSummary_trainingStartTime :: Lens' HyperParameterTrainingJobSummary (Maybe UTCTime) Source #
The date and time that the training job started.
hyperParameterTrainingJobSummary_tuningJobName :: Lens' HyperParameterTrainingJobSummary (Maybe Text) Source #
The HyperParameter tuning job that launched the training job.
hyperParameterTrainingJobSummary_trainingJobName :: Lens' HyperParameterTrainingJobSummary Text Source #
The name of the training job.
hyperParameterTrainingJobSummary_trainingJobArn :: Lens' HyperParameterTrainingJobSummary Text Source #
The Amazon Resource Name (ARN) of the training job.
hyperParameterTrainingJobSummary_creationTime :: Lens' HyperParameterTrainingJobSummary UTCTime Source #
The date and time that the training job was created.
hyperParameterTrainingJobSummary_trainingJobStatus :: Lens' HyperParameterTrainingJobSummary TrainingJobStatus Source #
The status of the training job.
hyperParameterTrainingJobSummary_tunedHyperParameters :: Lens' HyperParameterTrainingJobSummary (HashMap Text Text) Source #
A list of the hyperparameters for which you specified ranges to search.
HyperParameterTuningInstanceConfig
hyperParameterTuningInstanceConfig_instanceType :: Lens' HyperParameterTuningInstanceConfig TrainingInstanceType Source #
The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.
hyperParameterTuningInstanceConfig_instanceCount :: Lens' HyperParameterTuningInstanceConfig Natural Source #
The number of instances of the type specified by InstanceType
. Choose
an instance count larger than 1 for distributed training algorithms. See
SageMaker distributed training jobs
for more informcration.
hyperParameterTuningInstanceConfig_volumeSizeInGB :: Lens' HyperParameterTuningInstanceConfig Natural Source #
The volume size in GB of the data to be processed for hyperparameter optimization (optional).
HyperParameterTuningJobConfig
hyperParameterTuningJobConfig_hyperParameterTuningJobObjective :: Lens' HyperParameterTuningJobConfig (Maybe HyperParameterTuningJobObjective) Source #
The HyperParameterTuningJobObjective specifies the objective metric used to evaluate the performance of training jobs launched by this tuning job.
hyperParameterTuningJobConfig_parameterRanges :: Lens' HyperParameterTuningJobConfig (Maybe ParameterRanges) Source #
The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches over to find the optimal configuration for the highest model performance against your chosen objective metric.
hyperParameterTuningJobConfig_randomSeed :: Lens' HyperParameterTuningJobConfig (Maybe Natural) Source #
A value used to initialize a pseudo-random number generator. Setting a random seed and using the same seed later for the same tuning job will allow hyperparameter optimization to find more a consistent hyperparameter configuration between the two runs.
hyperParameterTuningJobConfig_strategyConfig :: Lens' HyperParameterTuningJobConfig (Maybe HyperParameterTuningJobStrategyConfig) Source #
The configuration for the Hyperband
optimization strategy. This
parameter should be provided only if Hyperband
is selected as the
strategy for HyperParameterTuningJobConfig
.
hyperParameterTuningJobConfig_trainingJobEarlyStoppingType :: Lens' HyperParameterTuningJobConfig (Maybe TrainingJobEarlyStoppingType) Source #
Specifies whether to use early stopping for training jobs launched by
the hyperparameter tuning job. Because the Hyperband
strategy has its
own advanced internal early stopping mechanism,
TrainingJobEarlyStoppingType
must be OFF
to use Hyperband
. This
parameter can take on one of the following values (the default value is
OFF
):
- OFF
- Training jobs launched by the hyperparameter tuning job do not use early stopping.
- AUTO
- SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.
hyperParameterTuningJobConfig_tuningJobCompletionCriteria :: Lens' HyperParameterTuningJobConfig (Maybe TuningJobCompletionCriteria) Source #
The tuning job's completion criteria.
hyperParameterTuningJobConfig_strategy :: Lens' HyperParameterTuningJobConfig HyperParameterTuningJobStrategyType Source #
Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. For information about search strategies, see How Hyperparameter Tuning Works.
hyperParameterTuningJobConfig_resourceLimits :: Lens' HyperParameterTuningJobConfig ResourceLimits Source #
The ResourceLimits object that specifies the maximum number of training and parallel training jobs that can be used for this hyperparameter tuning job.
HyperParameterTuningJobObjective
hyperParameterTuningJobObjective_type :: Lens' HyperParameterTuningJobObjective HyperParameterTuningJobObjectiveType Source #
Whether to minimize or maximize the objective metric.
hyperParameterTuningJobObjective_metricName :: Lens' HyperParameterTuningJobObjective Text Source #
The name of the metric to use for the objective metric.
HyperParameterTuningJobSearchEntity
hyperParameterTuningJobSearchEntity_bestTrainingJob :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTrainingJobSummary) Source #
Undocumented member.
hyperParameterTuningJobSearchEntity_creationTime :: Lens' HyperParameterTuningJobSearchEntity (Maybe UTCTime) Source #
The time that a hyperparameter tuning job was created.
hyperParameterTuningJobSearchEntity_failureReason :: Lens' HyperParameterTuningJobSearchEntity (Maybe Text) Source #
The error that was created when a hyperparameter tuning job failed.
hyperParameterTuningJobSearchEntity_hyperParameterTuningEndTime :: Lens' HyperParameterTuningJobSearchEntity (Maybe UTCTime) Source #
The time that a hyperparameter tuning job ended.
hyperParameterTuningJobSearchEntity_hyperParameterTuningJobArn :: Lens' HyperParameterTuningJobSearchEntity (Maybe Text) Source #
The Amazon Resource Name (ARN) of a hyperparameter tuning job.
hyperParameterTuningJobSearchEntity_hyperParameterTuningJobConfig :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTuningJobConfig) Source #
Undocumented member.
hyperParameterTuningJobSearchEntity_hyperParameterTuningJobName :: Lens' HyperParameterTuningJobSearchEntity (Maybe Text) Source #
The name of a hyperparameter tuning job.
hyperParameterTuningJobSearchEntity_hyperParameterTuningJobStatus :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTuningJobStatus) Source #
The status of a hyperparameter tuning job.
hyperParameterTuningJobSearchEntity_lastModifiedTime :: Lens' HyperParameterTuningJobSearchEntity (Maybe UTCTime) Source #
The time that a hyperparameter tuning job was last modified.
hyperParameterTuningJobSearchEntity_objectiveStatusCounters :: Lens' HyperParameterTuningJobSearchEntity (Maybe ObjectiveStatusCounters) Source #
Undocumented member.
hyperParameterTuningJobSearchEntity_overallBestTrainingJob :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTrainingJobSummary) Source #
Undocumented member.
hyperParameterTuningJobSearchEntity_tags :: Lens' HyperParameterTuningJobSearchEntity (Maybe [Tag]) Source #
The tags associated with a hyperparameter tuning job. For more information see Tagging Amazon Web Services resources.
hyperParameterTuningJobSearchEntity_trainingJobDefinition :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTrainingJobDefinition) Source #
Undocumented member.
hyperParameterTuningJobSearchEntity_trainingJobDefinitions :: Lens' HyperParameterTuningJobSearchEntity (Maybe (NonEmpty HyperParameterTrainingJobDefinition)) Source #
The job definitions included in a hyperparameter tuning job.
hyperParameterTuningJobSearchEntity_trainingJobStatusCounters :: Lens' HyperParameterTuningJobSearchEntity (Maybe TrainingJobStatusCounters) Source #
Undocumented member.
hyperParameterTuningJobSearchEntity_warmStartConfig :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTuningJobWarmStartConfig) Source #
Undocumented member.
HyperParameterTuningJobStrategyConfig
hyperParameterTuningJobStrategyConfig_hyperbandStrategyConfig :: Lens' HyperParameterTuningJobStrategyConfig (Maybe HyperbandStrategyConfig) Source #
The configuration for the object that specifies the Hyperband
strategy. This parameter is only supported for the Hyperband
selection
for Strategy
within the HyperParameterTuningJobConfig
API.
HyperParameterTuningJobSummary
hyperParameterTuningJobSummary_hyperParameterTuningEndTime :: Lens' HyperParameterTuningJobSummary (Maybe UTCTime) Source #
The date and time that the tuning job ended.
hyperParameterTuningJobSummary_lastModifiedTime :: Lens' HyperParameterTuningJobSummary (Maybe UTCTime) Source #
The date and time that the tuning job was modified.
hyperParameterTuningJobSummary_resourceLimits :: Lens' HyperParameterTuningJobSummary (Maybe ResourceLimits) Source #
The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
hyperParameterTuningJobSummary_hyperParameterTuningJobName :: Lens' HyperParameterTuningJobSummary Text Source #
The name of the tuning job.
hyperParameterTuningJobSummary_hyperParameterTuningJobArn :: Lens' HyperParameterTuningJobSummary Text Source #
The Amazon Resource Name (ARN) of the tuning job.
hyperParameterTuningJobSummary_hyperParameterTuningJobStatus :: Lens' HyperParameterTuningJobSummary HyperParameterTuningJobStatus Source #
The status of the tuning job.
hyperParameterTuningJobSummary_strategy :: Lens' HyperParameterTuningJobSummary HyperParameterTuningJobStrategyType Source #
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to evaluate at each iteration.
hyperParameterTuningJobSummary_creationTime :: Lens' HyperParameterTuningJobSummary UTCTime Source #
The date and time that the tuning job was created.
hyperParameterTuningJobSummary_trainingJobStatusCounters :: Lens' HyperParameterTuningJobSummary TrainingJobStatusCounters Source #
The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
hyperParameterTuningJobSummary_objectiveStatusCounters :: Lens' HyperParameterTuningJobSummary ObjectiveStatusCounters Source #
The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.
HyperParameterTuningJobWarmStartConfig
hyperParameterTuningJobWarmStartConfig_parentHyperParameterTuningJobs :: Lens' HyperParameterTuningJobWarmStartConfig (NonEmpty ParentHyperParameterTuningJob) Source #
An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job. For more information about warm starting a hyperparameter tuning job, see Using a Previous Hyperparameter Tuning Job as a Starting Point.
Hyperparameter tuning jobs created before October 1, 2018 cannot be used as parent jobs for warm start tuning jobs.
hyperParameterTuningJobWarmStartConfig_warmStartType :: Lens' HyperParameterTuningJobWarmStartConfig HyperParameterTuningJobWarmStartType Source #
Specifies one of the following:
- IDENTICAL_DATA_AND_ALGORITHM
- The new hyperparameter tuning job uses the same input data and training image as the parent tuning jobs. You can change the hyperparameter ranges to search and the maximum number of training jobs that the hyperparameter tuning job launches. You cannot use a new version of the training algorithm, unless the changes in the new version do not affect the algorithm itself. For example, changes that improve logging or adding support for a different data format are allowed. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
- TRANSFER_LEARNING
- The new hyperparameter tuning job can include input data, hyperparameter ranges, maximum number of concurrent training jobs, and maximum number of training jobs that are different than those of its parent hyperparameter tuning jobs. The training image can also be a different version from the version used in the parent hyperparameter tuning job. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
HyperParameterTuningResourceConfig
hyperParameterTuningResourceConfig_allocationStrategy :: Lens' HyperParameterTuningResourceConfig (Maybe HyperParameterTuningAllocationStrategy) Source #
The strategy that determines the order of preference for resources
specified in InstanceConfigs
used in hyperparameter optimization.
hyperParameterTuningResourceConfig_instanceConfigs :: Lens' HyperParameterTuningResourceConfig (Maybe (NonEmpty HyperParameterTuningInstanceConfig)) Source #
A list containing the configuration(s) for one or more resources for
processing hyperparameter jobs. These resources include compute
instances and storage volumes to use in model training jobs launched by
hyperparameter tuning jobs. The AllocationStrategy
controls the order
in which multiple configurations provided in InstanceConfigs
are used.
If you only want to use a single instance configuration inside the
HyperParameterTuningResourceConfig
API, do not provide a value for
InstanceConfigs
. Instead, use InstanceType
, VolumeSizeInGB
and
InstanceCount
. If you use InstanceConfigs
, do not provide values for
InstanceType
, VolumeSizeInGB
or InstanceCount
.
hyperParameterTuningResourceConfig_instanceCount :: Lens' HyperParameterTuningResourceConfig (Maybe Natural) Source #
The number of compute instances of type InstanceType
to use. For
distributed training,
select a value greater than 1.
hyperParameterTuningResourceConfig_instanceType :: Lens' HyperParameterTuningResourceConfig (Maybe TrainingInstanceType) Source #
The instance type used to run hyperparameter optimization tuning jobs. See descriptions of instance types for more information.
hyperParameterTuningResourceConfig_volumeKmsKeyId :: Lens' HyperParameterTuningResourceConfig (Maybe Text) Source #
A key used by Amazon Web Services Key Management Service to encrypt data on the storage volume attached to the compute instances used to run the training job. You can use either of the following formats to specify a key.
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
Some instances use local storage, which use a
hardware module to encrypt
storage volumes. If you choose one of these instance types, you cannot
request a VolumeKmsKeyId
. For a list of instance types that use local
storage, see
instance store volumes.
For more information about Amazon Web Services Key Management Service,
see
KMS encryption
for more information.
hyperParameterTuningResourceConfig_volumeSizeInGB :: Lens' HyperParameterTuningResourceConfig (Maybe Natural) Source #
The volume size in GB for the storage volume to be used in processing
hyperparameter optimization jobs (optional). These volumes store model
artifacts, incremental states and optionally, scratch space for training
algorithms. Do not provide a value for this parameter if a value for
InstanceConfigs
is also specified.
Some instance types have a fixed total local storage size. If you select
one of these instances for training, VolumeSizeInGB
cannot be greater
than this total size. For a list of instance types with local instance
storage and their sizes, see
instance store volumes.
SageMaker supports only the General Purpose SSD (gp2) storage volume type.
HyperbandStrategyConfig
hyperbandStrategyConfig_maxResource :: Lens' HyperbandStrategyConfig (Maybe Natural) Source #
The maximum number of resources (such as epochs) that can be used by a
training job launched by a hyperparameter tuning job. Once a job reaches
the MaxResource
value, it is stopped. If a value for MaxResource
is
not provided, and Hyperband
is selected as the hyperparameter tuning
strategy, HyperbandTrainingJ
attempts to infer MaxResource
from the
following keys (if present) in
StaticsHyperParameters:
epochs
numepochs
n-epochs
n_epochs
num_epochs
If HyperbandStrategyConfig
is unable to infer a value for
MaxResource
, it generates a validation error. The maximum value is
20,000 epochs. All metrics that correspond to an objective metric are
used to derive
early stopping decisions.
For
distributive
training jobs, ensure that duplicate metrics are not printed in the logs
across the individual nodes in a training job. If multiple nodes are
publishing duplicate or incorrect metrics, training jobs may make an
incorrect stopping decision and stop the job prematurely.
hyperbandStrategyConfig_minResource :: Lens' HyperbandStrategyConfig (Maybe Natural) Source #
The minimum number of resources (such as epochs) that can be used by a
training job launched by a hyperparameter tuning job. If the value for
MinResource
has not been reached, the training job will not be stopped
by Hyperband
.
Image
image_failureReason :: Lens' Image (Maybe Text) Source #
When a create, update, or delete operation fails, the reason for the failure.
image_imageStatus :: Lens' Image ImageStatus Source #
The status of the image.
ImageConfig
imageConfig_repositoryAuthConfig :: Lens' ImageConfig (Maybe RepositoryAuthConfig) Source #
(Optional) Specifies an authentication configuration for the private
docker registry where your model image is hosted. Specify a value for
this property only if you specified Vpc
as the value for the
RepositoryAccessMode
field, and the private Docker registry where the
model image is hosted requires authentication.
imageConfig_repositoryAccessMode :: Lens' ImageConfig RepositoryAccessMode Source #
Set this to one of the following values:
Platform
- The model image is hosted in Amazon ECR.Vpc
- The model image is hosted in a private Docker registry in your VPC.
ImageVersion
imageVersion_failureReason :: Lens' ImageVersion (Maybe Text) Source #
When a create or delete operation fails, the reason for the failure.
imageVersion_creationTime :: Lens' ImageVersion UTCTime Source #
When the version was created.
imageVersion_imageArn :: Lens' ImageVersion Text Source #
The ARN of the image the version is based on.
imageVersion_imageVersionArn :: Lens' ImageVersion Text Source #
The ARN of the version.
imageVersion_imageVersionStatus :: Lens' ImageVersion ImageVersionStatus Source #
The status of the version.
imageVersion_lastModifiedTime :: Lens' ImageVersion UTCTime Source #
When the version was last modified.
imageVersion_version :: Lens' ImageVersion Natural Source #
The version number.
InferenceExecutionConfig
inferenceExecutionConfig_mode :: Lens' InferenceExecutionConfig InferenceExecutionMode Source #
How containers in a multi-container are run. The following values are valid.
SERIAL
- Containers run as a serial pipeline.DIRECT
- Only the individual container that you specify is run.
InferenceExperimentDataStorageConfig
inferenceExperimentDataStorageConfig_contentType :: Lens' InferenceExperimentDataStorageConfig (Maybe CaptureContentTypeHeader) Source #
Undocumented member.
inferenceExperimentDataStorageConfig_kmsKey :: Lens' InferenceExperimentDataStorageConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service key that Amazon SageMaker uses to encrypt captured data at rest using Amazon S3 server-side encryption.
inferenceExperimentDataStorageConfig_destination :: Lens' InferenceExperimentDataStorageConfig Text Source #
The Amazon S3 bucket where the inference request and response data is stored.
InferenceExperimentSchedule
inferenceExperimentSchedule_endTime :: Lens' InferenceExperimentSchedule (Maybe UTCTime) Source #
The timestamp at which the inference experiment ended or will end.
inferenceExperimentSchedule_startTime :: Lens' InferenceExperimentSchedule (Maybe UTCTime) Source #
The timestamp at which the inference experiment started or will start.
InferenceExperimentSummary
inferenceExperimentSummary_completionTime :: Lens' InferenceExperimentSummary (Maybe UTCTime) Source #
The timestamp at which the inference experiment was completed.
inferenceExperimentSummary_description :: Lens' InferenceExperimentSummary (Maybe Text) Source #
The description of the inference experiment.
inferenceExperimentSummary_roleArn :: Lens' InferenceExperimentSummary (Maybe Text) Source #
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
inferenceExperimentSummary_schedule :: Lens' InferenceExperimentSummary (Maybe InferenceExperimentSchedule) Source #
The duration for which the inference experiment ran or will run.
The maximum duration that you can set for an inference experiment is 30 days.
inferenceExperimentSummary_statusReason :: Lens' InferenceExperimentSummary (Maybe Text) Source #
The error message for the inference experiment status result.
inferenceExperimentSummary_name :: Lens' InferenceExperimentSummary Text Source #
The name of the inference experiment.
inferenceExperimentSummary_type :: Lens' InferenceExperimentSummary InferenceExperimentType Source #
The type of the inference experiment.
inferenceExperimentSummary_status :: Lens' InferenceExperimentSummary InferenceExperimentStatus Source #
The status of the inference experiment.
inferenceExperimentSummary_creationTime :: Lens' InferenceExperimentSummary UTCTime Source #
The timestamp at which the inference experiment was created.
inferenceExperimentSummary_lastModifiedTime :: Lens' InferenceExperimentSummary UTCTime Source #
The timestamp when you last modified the inference experiment.
InferenceMetrics
inferenceMetrics_maxInvocations :: Lens' InferenceMetrics Int Source #
The expected maximum number of requests per minute for the instance.
inferenceMetrics_modelLatency :: Lens' InferenceMetrics Int Source #
The expected model latency at maximum invocations per minute for the instance.
InferenceRecommendation
inferenceRecommendation_metrics :: Lens' InferenceRecommendation RecommendationMetrics Source #
The metrics used to decide what recommendation to make.
inferenceRecommendation_endpointConfiguration :: Lens' InferenceRecommendation EndpointOutputConfiguration Source #
Defines the endpoint configuration parameters.
inferenceRecommendation_modelConfiguration :: Lens' InferenceRecommendation ModelConfiguration Source #
Defines the model configuration.
InferenceRecommendationsJob
inferenceRecommendationsJob_completionTime :: Lens' InferenceRecommendationsJob (Maybe UTCTime) Source #
A timestamp that shows when the job completed.
inferenceRecommendationsJob_failureReason :: Lens' InferenceRecommendationsJob (Maybe Text) Source #
If the job fails, provides information why the job failed.
inferenceRecommendationsJob_jobName :: Lens' InferenceRecommendationsJob Text Source #
The name of the job.
inferenceRecommendationsJob_jobDescription :: Lens' InferenceRecommendationsJob Text Source #
The job description.
inferenceRecommendationsJob_jobType :: Lens' InferenceRecommendationsJob RecommendationJobType Source #
The recommendation job type.
inferenceRecommendationsJob_jobArn :: Lens' InferenceRecommendationsJob Text Source #
The Amazon Resource Name (ARN) of the recommendation job.
inferenceRecommendationsJob_status :: Lens' InferenceRecommendationsJob RecommendationJobStatus Source #
The status of the job.
inferenceRecommendationsJob_creationTime :: Lens' InferenceRecommendationsJob UTCTime Source #
A timestamp that shows when the job was created.
inferenceRecommendationsJob_roleArn :: Lens' InferenceRecommendationsJob Text Source #
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
inferenceRecommendationsJob_lastModifiedTime :: Lens' InferenceRecommendationsJob UTCTime Source #
A timestamp that shows when the job was last modified.
InferenceRecommendationsJobStep
inferenceRecommendationsJobStep_inferenceBenchmark :: Lens' InferenceRecommendationsJobStep (Maybe RecommendationJobInferenceBenchmark) Source #
The details for a specific benchmark.
inferenceRecommendationsJobStep_stepType :: Lens' InferenceRecommendationsJobStep RecommendationStepType Source #
The type of the subtask.
BENCHMARK
: Evaluate the performance of your model on different
instance types.
inferenceRecommendationsJobStep_jobName :: Lens' InferenceRecommendationsJobStep Text Source #
The name of the Inference Recommender job.
inferenceRecommendationsJobStep_status :: Lens' InferenceRecommendationsJobStep RecommendationJobStatus Source #
The current status of the benchmark.
InferenceSpecification
inferenceSpecification_supportedRealtimeInferenceInstanceTypes :: Lens' InferenceSpecification (Maybe [ProductionVariantInstanceType]) Source #
A list of the instance types that are used to generate inferences in real-time.
This parameter is required for unversioned models, and optional for versioned models.
inferenceSpecification_supportedTransformInstanceTypes :: Lens' InferenceSpecification (Maybe (NonEmpty TransformInstanceType)) Source #
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
This parameter is required for unversioned models, and optional for versioned models.
inferenceSpecification_containers :: Lens' InferenceSpecification (NonEmpty ModelPackageContainerDefinition) Source #
The Amazon ECR registry path of the Docker image that contains the inference code.
inferenceSpecification_supportedContentTypes :: Lens' InferenceSpecification [Text] Source #
The supported MIME types for the input data.
inferenceSpecification_supportedResponseMIMETypes :: Lens' InferenceSpecification [Text] Source #
The supported MIME types for the output data.
InputConfig
inputConfig_frameworkVersion :: Lens' InputConfig (Maybe Text) Source #
Specifies the framework version to use. This API field is only supported for the MXNet, PyTorch, TensorFlow and TensorFlow Lite frameworks.
For information about framework versions supported for cloud targets and edge devices, see Cloud Supported Instance Types and Frameworks and Edge Supported Frameworks.
inputConfig_s3Uri :: Lens' InputConfig Text Source #
The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
inputConfig_dataInputConfig :: Lens' InputConfig Text Source #
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. The data inputs are InputConfig$Framework specific.
TensorFlow
: You must specify the name and shape (NHWC format) of the expected data inputs using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.Examples for one input:
- If using the console,
{"input":[1,1024,1024,3]}
- If using the CLI,
{\"input\":[1,1024,1024,3]}
- If using the console,
Examples for two inputs:
- If using the console,
{"data1": [1,28,28,1], "data2":[1,28,28,1]}
- If using the CLI,
{\"data1\": [1,28,28,1], \"data2\":[1,28,28,1]}
- If using the console,
KERAS
: You must specify the name and shape (NCHW format) of expected data inputs using a dictionary format for your trained model. Note that while Keras model artifacts should be uploaded in NHWC (channel-last) format,DataInputConfig
should be specified in NCHW (channel-first) format. The dictionary formats required for the console and CLI are different.Examples for one input:
- If using the console,
{"input_1":[1,3,224,224]}
- If using the CLI,
{\"input_1\":[1,3,224,224]}
- If using the console,
Examples for two inputs:
- If using the console,
{"input_1": [1,3,224,224], "input_2":[1,3,224,224]}
- If using the CLI,
{\"input_1\": [1,3,224,224], \"input_2\":[1,3,224,224]}
- If using the console,
MXNET/ONNX/DARKNET
: You must specify the name and shape (NCHW format) of the expected data inputs in order using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.Examples for one input:
- If using the console,
{"data":[1,3,1024,1024]}
- If using the CLI,
{\"data\":[1,3,1024,1024]}
- If using the console,
Examples for two inputs:
- If using the console,
{"var1": [1,1,28,28], "var2":[1,1,28,28]}
- If using the CLI,
{\"var1\": [1,1,28,28], \"var2\":[1,1,28,28]}
- If using the console,
PyTorch
: You can either specify the name and shape (NCHW format) of expected data inputs in order using a dictionary format for your trained model or you can specify the shape only using a list format. The dictionary formats required for the console and CLI are different. The list formats for the console and CLI are the same.Examples for one input in dictionary format:
- If using the console,
{"input0":[1,3,224,224]}
- If using the CLI,
{\"input0\":[1,3,224,224]}
- If using the console,
- Example for one input in list format:
[[1,3,224,224]]
Examples for two inputs in dictionary format:
- If using the console,
{"input0":[1,3,224,224], "input1":[1,3,224,224]}
- If using the CLI,
{\"input0\":[1,3,224,224], \"input1\":[1,3,224,224]}
- If using the console,
- Example for two inputs in list format:
[[1,3,224,224], [1,3,224,224]]
XGBOOST
: input data name and shape are not needed.
DataInputConfig
supports the following parameters for CoreML
OutputConfig$TargetDevice (ML Model format):
shape
: Input shape, for example{"input_1": {"shape": [1,224,224,3]}}
. In addition to static input shapes, CoreML converter supports Flexible input shapes:- Range Dimension. You can use the Range Dimension feature if you
know the input shape will be within some specific interval in
that dimension, for example:
{"input_1": {"shape": ["1..10", 224, 224, 3]}}
- Enumerated shapes. Sometimes, the models are trained to work
only on a select set of inputs. You can enumerate all supported
input shapes, for example:
{"input_1": {"shape": [[1, 224, 224, 3], [1, 160, 160, 3]]}}
- Range Dimension. You can use the Range Dimension feature if you
know the input shape will be within some specific interval in
that dimension, for example:
default_shape
: Default input shape. You can set a default shape during conversion for both Range Dimension and Enumerated Shapes. For example{"input_1": {"shape": ["1..10", 224, 224, 3], "default_shape": [1, 224, 224, 3]}}
type
: Input type. Allowed values:Image
andTensor
. By default, the converter generates an ML Model with inputs of type Tensor (MultiArray). User can set input type to be Image. Image input type requires additional input parameters such asbias
andscale
.bias
: If the input type is an Image, you need to provide the bias vector.scale
: If the input type is an Image, you need to provide a scale factor.
CoreML ClassifierConfig
parameters can be specified using
OutputConfig$CompilerOptions. CoreML converter supports Tensorflow and
PyTorch models. CoreML conversion examples:
Tensor type input:
"DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3]}}
Tensor type input without input name (PyTorch):
"DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224]}]
Image type input:
"DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}}
"CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}
Image type input without input name (PyTorch):
"DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}]
"CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}
Depending on the model format, DataInputConfig
requires the following
parameters for ml_eia2
OutputConfig:TargetDevice.
For TensorFlow models saved in the SavedModel format, specify the input names from
signature_def_key
and the input model shapes forDataInputConfig
. Specify thesignature_def_key
in OutputConfig:CompilerOptions if the model does not use TensorFlow's default signature def key. For example:"DataInputConfig": {"inputs": [1, 224, 224, 3]}
"CompilerOptions": {"signature_def_key": "serving_custom"}
For TensorFlow models saved as a frozen graph, specify the input tensor names and shapes in
DataInputConfig
and the output tensor names foroutput_names
in OutputConfig:CompilerOptions . For example:"DataInputConfig": {"input_tensor:0": [1, 224, 224, 3]}
"CompilerOptions": {"output_names": ["output_tensor:0"]}
inputConfig_framework :: Lens' InputConfig Framework Source #
Identifies the framework in which the model was trained. For example: TENSORFLOW.
InstanceGroup
instanceGroup_instanceType :: Lens' InstanceGroup TrainingInstanceType Source #
Specifies the instance type of the instance group.
instanceGroup_instanceCount :: Lens' InstanceGroup Natural Source #
Specifies the number of instances of the instance group.
instanceGroup_instanceGroupName :: Lens' InstanceGroup Text Source #
Specifies the name of the instance group.
InstanceMetadataServiceConfiguration
instanceMetadataServiceConfiguration_minimumInstanceMetadataServiceVersion :: Lens' InstanceMetadataServiceConfiguration Text Source #
Indicates the minimum IMDS version that the notebook instance supports.
When passed as part of CreateNotebookInstance
, if no value is
selected, then it defaults to IMDSv1. This means that both IMDSv1 and
IMDSv2 are supported. If passed as part of UpdateNotebookInstance
,
there is no default.
IntegerParameterRange
integerParameterRange_scalingType :: Lens' IntegerParameterRange (Maybe HyperParameterScalingType) Source #
The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
- Auto
- SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
- Linear
- Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
- Logarithmic
- Hyperparameter tuning searches the values in the hyperparameter
range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
integerParameterRange_name :: Lens' IntegerParameterRange Text Source #
The name of the hyperparameter to search.
integerParameterRange_minValue :: Lens' IntegerParameterRange Text Source #
The minimum value of the hyperparameter to search.
integerParameterRange_maxValue :: Lens' IntegerParameterRange Text Source #
The maximum value of the hyperparameter to search.
IntegerParameterRangeSpecification
integerParameterRangeSpecification_minValue :: Lens' IntegerParameterRangeSpecification Text Source #
The minimum integer value allowed.
integerParameterRangeSpecification_maxValue :: Lens' IntegerParameterRangeSpecification Text Source #
The maximum integer value allowed.
JupyterServerAppSettings
jupyterServerAppSettings_codeRepositories :: Lens' JupyterServerAppSettings (Maybe [CodeRepository]) Source #
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer application.
jupyterServerAppSettings_defaultResourceSpec :: Lens' JupyterServerAppSettings (Maybe ResourceSpec) Source #
The default instance type and the Amazon Resource Name (ARN) of the
default SageMaker image used by the JupyterServer app. If you use the
LifecycleConfigArns
parameter, then this parameter is also required.
jupyterServerAppSettings_lifecycleConfigArns :: Lens' JupyterServerAppSettings (Maybe [Text]) Source #
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached
to the JupyterServerApp. If you use this parameter, the
DefaultResourceSpec
parameter is also required.
To remove a Lifecycle Config, you must set LifecycleConfigArns
to an
empty list.
KernelGatewayAppSettings
kernelGatewayAppSettings_customImages :: Lens' KernelGatewayAppSettings (Maybe [CustomImage]) Source #
A list of custom SageMaker images that are configured to run as a KernelGateway app.
kernelGatewayAppSettings_defaultResourceSpec :: Lens' KernelGatewayAppSettings (Maybe ResourceSpec) Source #
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app.
The Amazon SageMaker Studio UI does not use the default instance type value set here. The default instance type set here is used when Apps are created using the Amazon Web Services Command Line Interface or Amazon Web Services CloudFormation and the instance type parameter value is not passed.
kernelGatewayAppSettings_lifecycleConfigArns :: Lens' KernelGatewayAppSettings (Maybe [Text]) Source #
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.
To remove a Lifecycle Config, you must set LifecycleConfigArns
to an
empty list.
KernelGatewayImageConfig
kernelGatewayImageConfig_fileSystemConfig :: Lens' KernelGatewayImageConfig (Maybe FileSystemConfig) Source #
The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.
kernelGatewayImageConfig_kernelSpecs :: Lens' KernelGatewayImageConfig (NonEmpty KernelSpec) Source #
The specification of the Jupyter kernels in the image.
KernelSpec
kernelSpec_displayName :: Lens' KernelSpec (Maybe Text) Source #
The display name of the kernel.
kernelSpec_name :: Lens' KernelSpec Text Source #
The name of the Jupyter kernel in the image. This value is case sensitive.
LabelCounters
labelCounters_failedNonRetryableError :: Lens' LabelCounters (Maybe Natural) Source #
The total number of objects that could not be labeled due to an error.
labelCounters_humanLabeled :: Lens' LabelCounters (Maybe Natural) Source #
The total number of objects labeled by a human worker.
labelCounters_machineLabeled :: Lens' LabelCounters (Maybe Natural) Source #
The total number of objects labeled by automated data labeling.
labelCounters_totalLabeled :: Lens' LabelCounters (Maybe Natural) Source #
The total number of objects labeled.
labelCounters_unlabeled :: Lens' LabelCounters (Maybe Natural) Source #
The total number of objects not yet labeled.
LabelCountersForWorkteam
labelCountersForWorkteam_humanLabeled :: Lens' LabelCountersForWorkteam (Maybe Natural) Source #
The total number of data objects labeled by a human worker.
labelCountersForWorkteam_pendingHuman :: Lens' LabelCountersForWorkteam (Maybe Natural) Source #
The total number of data objects that need to be labeled by a human worker.
labelCountersForWorkteam_total :: Lens' LabelCountersForWorkteam (Maybe Natural) Source #
The total number of tasks in the labeling job.
LabelingJobAlgorithmsConfig
labelingJobAlgorithmsConfig_initialActiveLearningModelArn :: Lens' LabelingJobAlgorithmsConfig (Maybe Text) Source #
At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.
labelingJobAlgorithmsConfig_labelingJobResourceConfig :: Lens' LabelingJobAlgorithmsConfig (Maybe LabelingJobResourceConfig) Source #
Provides configuration information for a labeling job.
labelingJobAlgorithmsConfig_labelingJobAlgorithmSpecificationArn :: Lens' LabelingJobAlgorithmsConfig Text Source #
Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:
Image classification
arn:aws:sagemaker:
region
:027400017018:labeling-job-algorithm-specification/image-classification
Text classification
arn:aws:sagemaker:
region
:027400017018:labeling-job-algorithm-specification/text-classification
Object detection
arn:aws:sagemaker:
region
:027400017018:labeling-job-algorithm-specification/object-detection
Semantic Segmentation
arn:aws:sagemaker:
region
:027400017018:labeling-job-algorithm-specification/semantic-segmentation
LabelingJobDataAttributes
labelingJobDataAttributes_contentClassifiers :: Lens' LabelingJobDataAttributes (Maybe [ContentClassifier]) Source #
Declares that your content is free of personally identifiable information or adult content. SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.
LabelingJobDataSource
labelingJobDataSource_s3DataSource :: Lens' LabelingJobDataSource (Maybe LabelingJobS3DataSource) Source #
The Amazon S3 location of the input data objects.
labelingJobDataSource_snsDataSource :: Lens' LabelingJobDataSource (Maybe LabelingJobSnsDataSource) Source #
An Amazon SNS data source used for streaming labeling jobs. To learn more, see Send Data to a Streaming Labeling Job.
LabelingJobForWorkteamSummary
labelingJobForWorkteamSummary_labelCounters :: Lens' LabelingJobForWorkteamSummary (Maybe LabelCountersForWorkteam) Source #
Provides information about the progress of a labeling job.
labelingJobForWorkteamSummary_labelingJobName :: Lens' LabelingJobForWorkteamSummary (Maybe Text) Source #
The name of the labeling job that the work team is assigned to.
labelingJobForWorkteamSummary_numberOfHumanWorkersPerDataObject :: Lens' LabelingJobForWorkteamSummary (Maybe Natural) Source #
The configured number of workers per data object.
labelingJobForWorkteamSummary_jobReferenceCode :: Lens' LabelingJobForWorkteamSummary Text Source #
A unique identifier for a labeling job. You can use this to refer to a specific labeling job.
labelingJobForWorkteamSummary_workRequesterAccountId :: Lens' LabelingJobForWorkteamSummary Text Source #
The Amazon Web Services account ID of the account used to start the labeling job.
labelingJobForWorkteamSummary_creationTime :: Lens' LabelingJobForWorkteamSummary UTCTime Source #
The date and time that the labeling job was created.
LabelingJobInputConfig
labelingJobInputConfig_dataAttributes :: Lens' LabelingJobInputConfig (Maybe LabelingJobDataAttributes) Source #
Attributes of the data specified by the customer.
labelingJobInputConfig_dataSource :: Lens' LabelingJobInputConfig LabelingJobDataSource Source #
The location of the input data.
LabelingJobOutput
labelingJobOutput_finalActiveLearningModelArn :: Lens' LabelingJobOutput (Maybe Text) Source #
The Amazon Resource Name (ARN) for the most recent SageMaker model trained as part of automated data labeling.
labelingJobOutput_outputDatasetS3Uri :: Lens' LabelingJobOutput Text Source #
The Amazon S3 bucket location of the manifest file for labeled data.
LabelingJobOutputConfig
labelingJobOutputConfig_kmsKeyId :: Lens' LabelingJobOutputConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service ID of the key used to encrypt the output data, if any.
If you provide your own KMS key ID, you must add the required permissions to your KMS key described in Encrypt Output Data and Storage Volume with Amazon Web Services KMS.
If you don't provide a KMS key ID, Amazon SageMaker uses the default Amazon Web Services KMS key for Amazon S3 for your role's account to encrypt your output data.
If you use a bucket policy with an s3:PutObject
permission that only
allows objects with server-side encryption, set the condition key of
s3:x-amz-server-side-encryption
to "aws:kms"
. For more
information, see
KMS-Managed Encryption Keys
in the Amazon Simple Storage Service Developer Guide.
labelingJobOutputConfig_snsTopicArn :: Lens' LabelingJobOutputConfig (Maybe Text) Source #
An Amazon Simple Notification Service (Amazon SNS) output topic ARN.
Provide a SnsTopicArn
if you want to do real time chaining to another
streaming job and receive an Amazon SNS notifications each time a data
object is submitted by a worker.
If you provide an SnsTopicArn
in OutputConfig
, when workers complete
labeling tasks, Ground Truth will send labeling task output data to the
SNS output topic you specify here.
To learn more, see Receive Output Data from a Streaming Labeling Job.
labelingJobOutputConfig_s3OutputPath :: Lens' LabelingJobOutputConfig Text Source #
The Amazon S3 location to write output data.
LabelingJobResourceConfig
labelingJobResourceConfig_volumeKmsKeyId :: Lens' LabelingJobResourceConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.
You can only specify a VolumeKmsKeyId
when you create a labeling job
with automated data labeling enabled using the API operation
CreateLabelingJob
. You cannot specify an Amazon Web Services KMS key
to encrypt the storage volume used for automated data labeling model
training and inference when you create a labeling job using the console.
To learn more, see
Output Data and Storage Volume Encryption.
The VolumeKmsKeyId
can be any of the following formats:
KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
labelingJobResourceConfig_vpcConfig :: Lens' LabelingJobResourceConfig (Maybe VpcConfig) Source #
Undocumented member.
LabelingJobS3DataSource
labelingJobS3DataSource_manifestS3Uri :: Lens' LabelingJobS3DataSource Text Source #
The Amazon S3 location of the manifest file that describes the input data objects.
The input manifest file referenced in ManifestS3Uri
must contain one
of the following keys: source-ref
or source
. The value of the keys
are interpreted as follows:
source-ref
: The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.source
: The source of the object is the value. Use this value when the object is a text value.
If you are a new user of Ground Truth, it is recommended you review Use an Input Manifest File in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.
LabelingJobSnsDataSource
labelingJobSnsDataSource_snsTopicArn :: Lens' LabelingJobSnsDataSource Text Source #
The Amazon SNS input topic Amazon Resource Name (ARN). Specify the ARN of the input topic you will use to send new data objects to a streaming labeling job.
LabelingJobStoppingConditions
labelingJobStoppingConditions_maxHumanLabeledObjectCount :: Lens' LabelingJobStoppingConditions (Maybe Natural) Source #
The maximum number of objects that can be labeled by human workers.
labelingJobStoppingConditions_maxPercentageOfInputDatasetLabeled :: Lens' LabelingJobStoppingConditions (Maybe Natural) Source #
The maximum number of input data objects that should be labeled.
LabelingJobSummary
labelingJobSummary_annotationConsolidationLambdaArn :: Lens' LabelingJobSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers into a label for a data object. For more information, see Annotation Consolidation.
labelingJobSummary_failureReason :: Lens' LabelingJobSummary (Maybe Text) Source #
If the LabelingJobStatus
field is Failed
, this field contains a
description of the error.
labelingJobSummary_inputConfig :: Lens' LabelingJobSummary (Maybe LabelingJobInputConfig) Source #
Input configuration for the labeling job.
labelingJobSummary_labelingJobOutput :: Lens' LabelingJobSummary (Maybe LabelingJobOutput) Source #
The location of the output produced by the labeling job.
labelingJobSummary_labelingJobName :: Lens' LabelingJobSummary Text Source #
The name of the labeling job.
labelingJobSummary_labelingJobArn :: Lens' LabelingJobSummary Text Source #
The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
labelingJobSummary_creationTime :: Lens' LabelingJobSummary UTCTime Source #
The date and time that the job was created (timestamp).
labelingJobSummary_lastModifiedTime :: Lens' LabelingJobSummary UTCTime Source #
The date and time that the job was last modified (timestamp).
labelingJobSummary_labelingJobStatus :: Lens' LabelingJobSummary LabelingJobStatus Source #
The current status of the labeling job.
labelingJobSummary_labelCounters :: Lens' LabelingJobSummary LabelCounters Source #
Counts showing the progress of the labeling job.
labelingJobSummary_workteamArn :: Lens' LabelingJobSummary Text Source #
The Amazon Resource Name (ARN) of the work team assigned to the job.
labelingJobSummary_preHumanTaskLambdaArn :: Lens' LabelingJobSummary Text Source #
The Amazon Resource Name (ARN) of a Lambda function. The function is run before each data object is sent to a worker.
LambdaStepMetadata
lambdaStepMetadata_arn :: Lens' LambdaStepMetadata (Maybe Text) Source #
The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution.
lambdaStepMetadata_outputParameters :: Lens' LambdaStepMetadata (Maybe [OutputParameter]) Source #
A list of the output parameters of the Lambda step.
LastUpdateStatus
lastUpdateStatus_failureReason :: Lens' LastUpdateStatus (Maybe Text) Source #
If the update wasn't successful, indicates the reason why it failed.
lastUpdateStatus_status :: Lens' LastUpdateStatus LastUpdateStatusValue Source #
A value that indicates whether the update was made successful.
LineageGroupSummary
lineageGroupSummary_creationTime :: Lens' LineageGroupSummary (Maybe UTCTime) Source #
The creation time of the lineage group summary.
lineageGroupSummary_displayName :: Lens' LineageGroupSummary (Maybe Text) Source #
The display name of the lineage group summary.
lineageGroupSummary_lastModifiedTime :: Lens' LineageGroupSummary (Maybe UTCTime) Source #
The last modified time of the lineage group summary.
lineageGroupSummary_lineageGroupArn :: Lens' LineageGroupSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the lineage group resource.
lineageGroupSummary_lineageGroupName :: Lens' LineageGroupSummary (Maybe Text) Source #
The name or Amazon Resource Name (ARN) of the lineage group.
MemberDefinition
memberDefinition_cognitoMemberDefinition :: Lens' MemberDefinition (Maybe CognitoMemberDefinition) Source #
The Amazon Cognito user group that is part of the work team.
memberDefinition_oidcMemberDefinition :: Lens' MemberDefinition (Maybe OidcMemberDefinition) Source #
A list user groups that exist in your OIDC Identity Provider (IdP). One
to ten groups can be used to create a single private work team. When you
add a user group to the list of Groups
, you can add that user group to
one or more private work teams. If you add a user group to a private
work team, all workers in that user group are added to the work team.
MetadataProperties
metadataProperties_commitId :: Lens' MetadataProperties (Maybe Text) Source #
The commit ID.
metadataProperties_generatedBy :: Lens' MetadataProperties (Maybe Text) Source #
The entity this entity was generated by.
metadataProperties_projectId :: Lens' MetadataProperties (Maybe Text) Source #
The project ID.
metadataProperties_repository :: Lens' MetadataProperties (Maybe Text) Source #
The repository.
MetricData
metricData_metricName :: Lens' MetricData (Maybe Text) Source #
The name of the metric.
metricData_timestamp :: Lens' MetricData (Maybe UTCTime) Source #
The date and time that the algorithm emitted the metric.
metricData_value :: Lens' MetricData (Maybe Double) Source #
The value of the metric.
MetricDatum
metricDatum_metricName :: Lens' MetricDatum (Maybe AutoMLMetricEnum) Source #
The name of the metric.
metricDatum_set :: Lens' MetricDatum (Maybe MetricSetSource) Source #
The dataset split from which the AutoML job produced the metric.
metricDatum_standardMetricName :: Lens' MetricDatum (Maybe AutoMLMetricExtendedEnum) Source #
The name of the standard metric.
For definitions of the standard metrics, see Autopilot candidate metrics .
metricDatum_value :: Lens' MetricDatum (Maybe Double) Source #
The value of the metric.
MetricDefinition
metricDefinition_name :: Lens' MetricDefinition Text Source #
The name of the metric.
metricDefinition_regex :: Lens' MetricDefinition Text Source #
A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining Objective Metrics.
MetricsSource
metricsSource_contentDigest :: Lens' MetricsSource (Maybe Text) Source #
The hash key used for the metrics source.
metricsSource_contentType :: Lens' MetricsSource Text Source #
The metric source content type.
metricsSource_s3Uri :: Lens' MetricsSource Text Source #
The S3 URI for the metrics source.
Model
model_containers :: Lens' Model (Maybe [ContainerDefinition]) Source #
The containers in the inference pipeline.
model_creationTime :: Lens' Model (Maybe UTCTime) Source #
A timestamp that indicates when the model was created.
model_enableNetworkIsolation :: Lens' Model (Maybe Bool) Source #
Isolates the model container. No inbound or outbound network calls can be made to or from the model container.
model_executionRoleArn :: Lens' Model (Maybe Text) Source #
The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
model_inferenceExecutionConfig :: Lens' Model (Maybe InferenceExecutionConfig) Source #
Undocumented member.
model_primaryContainer :: Lens' Model (Maybe ContainerDefinition) Source #
Undocumented member.
model_tags :: Lens' Model (Maybe [Tag]) Source #
A list of key-value pairs associated with the model. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
ModelArtifacts
modelArtifacts_s3ModelArtifacts :: Lens' ModelArtifacts Text Source #
The path of the S3 object that contains the model artifacts. For
example, s3://bucket-name/keynameprefix/model.tar.gz
.
ModelBiasAppSpecification
modelBiasAppSpecification_environment :: Lens' ModelBiasAppSpecification (Maybe (HashMap Text Text)) Source #
Sets the environment variables in the Docker container.
modelBiasAppSpecification_imageUri :: Lens' ModelBiasAppSpecification Text Source #
The container image to be run by the model bias job.
modelBiasAppSpecification_configUri :: Lens' ModelBiasAppSpecification Text Source #
JSON formatted S3 file that defines bias parameters. For more information on this JSON configuration file, see Configure bias parameters.
ModelBiasBaselineConfig
modelBiasBaselineConfig_baseliningJobName :: Lens' ModelBiasBaselineConfig (Maybe Text) Source #
The name of the baseline model bias job.
modelBiasBaselineConfig_constraintsResource :: Lens' ModelBiasBaselineConfig (Maybe MonitoringConstraintsResource) Source #
Undocumented member.
ModelBiasJobInput
modelBiasJobInput_batchTransformInput :: Lens' ModelBiasJobInput (Maybe BatchTransformInput) Source #
Input object for the batch transform job.
modelBiasJobInput_endpointInput :: Lens' ModelBiasJobInput (Maybe EndpointInput) Source #
Undocumented member.
modelBiasJobInput_groundTruthS3Input :: Lens' ModelBiasJobInput MonitoringGroundTruthS3Input Source #
Location of ground truth labels to use in model bias job.
ModelCard
modelCard_content :: Lens' ModelCard (Maybe Text) Source #
The content of the model card. Content uses the model card JSON schema and provided as a string.
modelCard_createdBy :: Lens' ModelCard (Maybe UserContext) Source #
Undocumented member.
modelCard_creationTime :: Lens' ModelCard (Maybe UTCTime) Source #
The date and time that the model card was created.
modelCard_lastModifiedBy :: Lens' ModelCard (Maybe UserContext) Source #
Undocumented member.
modelCard_lastModifiedTime :: Lens' ModelCard (Maybe UTCTime) Source #
The date and time that the model card was last modified.
modelCard_modelCardArn :: Lens' ModelCard (Maybe Text) Source #
The Amazon Resource Name (ARN) of the model card.
modelCard_modelCardStatus :: Lens' ModelCard (Maybe ModelCardStatus) Source #
The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft
: The model card is a work in progress.PendingReview
: The model card is pending review.Approved
: The model card is approved.Archived
: The model card is archived. No more updates should be made to the model card, but it can still be exported.
modelCard_riskRating :: Lens' ModelCard (Maybe Text) Source #
The risk rating of the model. Different organizations might have different criteria for model card risk ratings. For more information, see Risk ratings.
modelCard_securityConfig :: Lens' ModelCard (Maybe ModelCardSecurityConfig) Source #
The security configuration used to protect model card data.
modelCard_tags :: Lens' ModelCard (Maybe [Tag]) Source #
Key-value pairs used to manage metadata for the model card.
ModelCardExportArtifacts
modelCardExportArtifacts_s3ExportArtifacts :: Lens' ModelCardExportArtifacts Text Source #
The Amazon S3 URI of the exported model artifacts.
ModelCardExportJobSummary
modelCardExportJobSummary_modelCardExportJobName :: Lens' ModelCardExportJobSummary Text Source #
The name of the model card export job.
modelCardExportJobSummary_modelCardExportJobArn :: Lens' ModelCardExportJobSummary Text Source #
The Amazon Resource Name (ARN) of the model card export job.
modelCardExportJobSummary_status :: Lens' ModelCardExportJobSummary ModelCardExportJobStatus Source #
The completion status of the model card export job.
modelCardExportJobSummary_modelCardName :: Lens' ModelCardExportJobSummary Text Source #
The name of the model card that the export job exports.
modelCardExportJobSummary_modelCardVersion :: Lens' ModelCardExportJobSummary Int Source #
The version of the model card that the export job exports.
modelCardExportJobSummary_createdAt :: Lens' ModelCardExportJobSummary UTCTime Source #
The date and time that the model card export job was created.
modelCardExportJobSummary_lastModifiedAt :: Lens' ModelCardExportJobSummary UTCTime Source #
The date and time that the model card export job was last modified..
ModelCardExportOutputConfig
modelCardExportOutputConfig_s3OutputPath :: Lens' ModelCardExportOutputConfig Text Source #
The Amazon S3 output path to export your model card PDF.
ModelCardSecurityConfig
modelCardSecurityConfig_kmsKeyId :: Lens' ModelCardSecurityConfig (Maybe Text) Source #
A Key Management Service key ID to use for encrypting a model card.
ModelCardSummary
modelCardSummary_lastModifiedTime :: Lens' ModelCardSummary (Maybe UTCTime) Source #
The date and time that the model card was last modified.
modelCardSummary_modelCardName :: Lens' ModelCardSummary Text Source #
The name of the model card.
modelCardSummary_modelCardArn :: Lens' ModelCardSummary Text Source #
The Amazon Resource Name (ARN) of the model card.
modelCardSummary_modelCardStatus :: Lens' ModelCardSummary ModelCardStatus Source #
The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft
: The model card is a work in progress.PendingReview
: The model card is pending review.Approved
: The model card is approved.Archived
: The model card is archived. No more updates should be made to the model card, but it can still be exported.
modelCardSummary_creationTime :: Lens' ModelCardSummary UTCTime Source #
The date and time that the model card was created.
ModelCardVersionSummary
modelCardVersionSummary_lastModifiedTime :: Lens' ModelCardVersionSummary (Maybe UTCTime) Source #
The time date and time that the model card version was last modified.
modelCardVersionSummary_modelCardName :: Lens' ModelCardVersionSummary Text Source #
The name of the model card.
modelCardVersionSummary_modelCardArn :: Lens' ModelCardVersionSummary Text Source #
The Amazon Resource Name (ARN) of the model card.
modelCardVersionSummary_modelCardStatus :: Lens' ModelCardVersionSummary ModelCardStatus Source #
The approval status of the model card version within your organization. Different organizations might have different criteria for model card review and approval.
Draft
: The model card is a work in progress.PendingReview
: The model card is pending review.Approved
: The model card is approved.Archived
: The model card is archived. No more updates should be made to the model card, but it can still be exported.
modelCardVersionSummary_modelCardVersion :: Lens' ModelCardVersionSummary Int Source #
A version of the model card.
modelCardVersionSummary_creationTime :: Lens' ModelCardVersionSummary UTCTime Source #
The date and time that the model card version was created.
ModelClientConfig
modelClientConfig_invocationsMaxRetries :: Lens' ModelClientConfig (Maybe Natural) Source #
The maximum number of retries when invocation requests are failing. The default value is 3.
modelClientConfig_invocationsTimeoutInSeconds :: Lens' ModelClientConfig (Maybe Natural) Source #
The timeout value in seconds for an invocation request. The default value is 600.
ModelConfiguration
modelConfiguration_environmentParameters :: Lens' ModelConfiguration (Maybe (NonEmpty EnvironmentParameter)) Source #
Defines the environment parameters that includes key, value types, and values.
modelConfiguration_inferenceSpecificationName :: Lens' ModelConfiguration (Maybe Text) Source #
The inference specification name in the model package version.
ModelDashboardEndpoint
modelDashboardEndpoint_endpointName :: Lens' ModelDashboardEndpoint Text Source #
The endpoint name.
modelDashboardEndpoint_endpointArn :: Lens' ModelDashboardEndpoint Text Source #
The Amazon Resource Name (ARN) of the endpoint.
modelDashboardEndpoint_creationTime :: Lens' ModelDashboardEndpoint UTCTime Source #
A timestamp that indicates when the endpoint was created.
modelDashboardEndpoint_lastModifiedTime :: Lens' ModelDashboardEndpoint UTCTime Source #
The last time the endpoint was modified.
modelDashboardEndpoint_endpointStatus :: Lens' ModelDashboardEndpoint EndpointStatus Source #
The endpoint status.
ModelDashboardIndicatorAction
modelDashboardIndicatorAction_enabled :: Lens' ModelDashboardIndicatorAction (Maybe Bool) Source #
Indicates whether the alert action is turned on.
ModelDashboardModel
modelDashboardModel_endpoints :: Lens' ModelDashboardModel (Maybe [ModelDashboardEndpoint]) Source #
The endpoints that host a model.
modelDashboardModel_lastBatchTransformJob :: Lens' ModelDashboardModel (Maybe TransformJob) Source #
Undocumented member.
modelDashboardModel_model :: Lens' ModelDashboardModel (Maybe Model) Source #
A model displayed in the Model Dashboard.
modelDashboardModel_modelCard :: Lens' ModelDashboardModel (Maybe ModelDashboardModelCard) Source #
The model card for a model.
modelDashboardModel_monitoringSchedules :: Lens' ModelDashboardModel (Maybe [ModelDashboardMonitoringSchedule]) Source #
The monitoring schedules for a model.
ModelDashboardModelCard
modelDashboardModelCard_createdBy :: Lens' ModelDashboardModelCard (Maybe UserContext) Source #
Undocumented member.
modelDashboardModelCard_creationTime :: Lens' ModelDashboardModelCard (Maybe UTCTime) Source #
A timestamp that indicates when the model card was created.
modelDashboardModelCard_lastModifiedBy :: Lens' ModelDashboardModelCard (Maybe UserContext) Source #
Undocumented member.
modelDashboardModelCard_lastModifiedTime :: Lens' ModelDashboardModelCard (Maybe UTCTime) Source #
A timestamp that indicates when the model card was last updated.
modelDashboardModelCard_modelCardArn :: Lens' ModelDashboardModelCard (Maybe Text) Source #
The Amazon Resource Name (ARN) for a model card.
modelDashboardModelCard_modelCardName :: Lens' ModelDashboardModelCard (Maybe Text) Source #
The name of a model card.
modelDashboardModelCard_modelCardStatus :: Lens' ModelDashboardModelCard (Maybe ModelCardStatus) Source #
The model card status.
modelDashboardModelCard_modelCardVersion :: Lens' ModelDashboardModelCard (Maybe Int) Source #
The model card version.
modelDashboardModelCard_modelId :: Lens' ModelDashboardModelCard (Maybe Text) Source #
For models created in SageMaker, this is the model ARN. For models created outside of SageMaker, this is a user-customized string.
modelDashboardModelCard_riskRating :: Lens' ModelDashboardModelCard (Maybe Text) Source #
A model card's risk rating. Can be low, medium, or high.
modelDashboardModelCard_securityConfig :: Lens' ModelDashboardModelCard (Maybe ModelCardSecurityConfig) Source #
The KMS Key ID (KMSKeyId
) for encryption of model card information.
modelDashboardModelCard_tags :: Lens' ModelDashboardModelCard (Maybe [Tag]) Source #
The tags associated with a model card.
ModelDashboardMonitoringSchedule
modelDashboardMonitoringSchedule_creationTime :: Lens' ModelDashboardMonitoringSchedule (Maybe UTCTime) Source #
A timestamp that indicates when the monitoring schedule was created.
modelDashboardMonitoringSchedule_endpointName :: Lens' ModelDashboardMonitoringSchedule (Maybe Text) Source #
The endpoint which is monitored.
modelDashboardMonitoringSchedule_failureReason :: Lens' ModelDashboardMonitoringSchedule (Maybe Text) Source #
If a monitoring job failed, provides the reason.
modelDashboardMonitoringSchedule_lastModifiedTime :: Lens' ModelDashboardMonitoringSchedule (Maybe UTCTime) Source #
A timestamp that indicates when the monitoring schedule was last updated.
modelDashboardMonitoringSchedule_lastMonitoringExecutionSummary :: Lens' ModelDashboardMonitoringSchedule (Maybe MonitoringExecutionSummary) Source #
Undocumented member.
modelDashboardMonitoringSchedule_monitoringAlertSummaries :: Lens' ModelDashboardMonitoringSchedule (Maybe (NonEmpty MonitoringAlertSummary)) Source #
A JSON array where each element is a summary for a monitoring alert.
modelDashboardMonitoringSchedule_monitoringScheduleArn :: Lens' ModelDashboardMonitoringSchedule (Maybe Text) Source #
The Amazon Resource Name (ARN) of a monitoring schedule.
modelDashboardMonitoringSchedule_monitoringScheduleConfig :: Lens' ModelDashboardMonitoringSchedule (Maybe MonitoringScheduleConfig) Source #
Undocumented member.
modelDashboardMonitoringSchedule_monitoringScheduleName :: Lens' ModelDashboardMonitoringSchedule (Maybe Text) Source #
The name of a monitoring schedule.
modelDashboardMonitoringSchedule_monitoringScheduleStatus :: Lens' ModelDashboardMonitoringSchedule (Maybe ScheduleStatus) Source #
The status of the monitoring schedule.
modelDashboardMonitoringSchedule_monitoringType :: Lens' ModelDashboardMonitoringSchedule (Maybe MonitoringType) Source #
The monitor type of a model monitor.
ModelDataQuality
modelDataQuality_constraints :: Lens' ModelDataQuality (Maybe MetricsSource) Source #
Data quality constraints for a model.
modelDataQuality_statistics :: Lens' ModelDataQuality (Maybe MetricsSource) Source #
Data quality statistics for a model.
ModelDeployConfig
modelDeployConfig_autoGenerateEndpointName :: Lens' ModelDeployConfig (Maybe Bool) Source #
Set to True
to automatically generate an endpoint name for a one-click
Autopilot model deployment; set to False
otherwise. The default value
is False
.
If you set AutoGenerateEndpointName
to True
, do not specify the
EndpointName
; otherwise a 400 error is thrown.
modelDeployConfig_endpointName :: Lens' ModelDeployConfig (Maybe Text) Source #
Specifies the endpoint name to use for a one-click Autopilot model deployment if the endpoint name is not generated automatically.
Specify the EndpointName
if and only if you set
AutoGenerateEndpointName
to False
; otherwise a 400 error is thrown.
ModelDeployResult
modelDeployResult_endpointName :: Lens' ModelDeployResult (Maybe Text) Source #
The name of the endpoint to which the model has been deployed.
If model deployment fails, this field is omitted from the response.
ModelDigests
modelDigests_artifactDigest :: Lens' ModelDigests (Maybe Text) Source #
Provides a hash value that uniquely identifies the stored model artifacts.
ModelExplainabilityAppSpecification
modelExplainabilityAppSpecification_environment :: Lens' ModelExplainabilityAppSpecification (Maybe (HashMap Text Text)) Source #
Sets the environment variables in the Docker container.
modelExplainabilityAppSpecification_imageUri :: Lens' ModelExplainabilityAppSpecification Text Source #
The container image to be run by the model explainability job.
modelExplainabilityAppSpecification_configUri :: Lens' ModelExplainabilityAppSpecification Text Source #
JSON formatted S3 file that defines explainability parameters. For more information on this JSON configuration file, see Configure model explainability parameters.
ModelExplainabilityBaselineConfig
modelExplainabilityBaselineConfig_baseliningJobName :: Lens' ModelExplainabilityBaselineConfig (Maybe Text) Source #
The name of the baseline model explainability job.
modelExplainabilityBaselineConfig_constraintsResource :: Lens' ModelExplainabilityBaselineConfig (Maybe MonitoringConstraintsResource) Source #
Undocumented member.
ModelExplainabilityJobInput
modelExplainabilityJobInput_batchTransformInput :: Lens' ModelExplainabilityJobInput (Maybe BatchTransformInput) Source #
Input object for the batch transform job.
modelExplainabilityJobInput_endpointInput :: Lens' ModelExplainabilityJobInput (Maybe EndpointInput) Source #
Undocumented member.
ModelInfrastructureConfig
modelInfrastructureConfig_infrastructureType :: Lens' ModelInfrastructureConfig ModelInfrastructureType Source #
The inference option to which to deploy your model. Possible values are the following:
RealTime
: Deploy to real-time inference.
modelInfrastructureConfig_realTimeInferenceConfig :: Lens' ModelInfrastructureConfig RealTimeInferenceConfig Source #
The infrastructure configuration for deploying the model to real-time inference.
ModelInput
modelInput_dataInputConfig :: Lens' ModelInput Text Source #
The input configuration object for the model.
ModelLatencyThreshold
modelLatencyThreshold_percentile :: Lens' ModelLatencyThreshold (Maybe Text) Source #
The model latency percentile threshold.
modelLatencyThreshold_valueInMilliseconds :: Lens' ModelLatencyThreshold (Maybe Int) Source #
The model latency percentile value in milliseconds.
ModelMetadataFilter
modelMetadataFilter_name :: Lens' ModelMetadataFilter ModelMetadataFilterType Source #
The name of the of the model to filter by.
modelMetadataFilter_value :: Lens' ModelMetadataFilter Text Source #
The value to filter the model metadata.
ModelMetadataSearchExpression
modelMetadataSearchExpression_filters :: Lens' ModelMetadataSearchExpression (Maybe (NonEmpty ModelMetadataFilter)) Source #
A list of filter objects.
ModelMetadataSummary
modelMetadataSummary_domain :: Lens' ModelMetadataSummary Text Source #
The machine learning domain of the model.
modelMetadataSummary_framework :: Lens' ModelMetadataSummary Text Source #
The machine learning framework of the model.
modelMetadataSummary_task :: Lens' ModelMetadataSummary Text Source #
The machine learning task of the model.
modelMetadataSummary_model :: Lens' ModelMetadataSummary Text Source #
The name of the model.
modelMetadataSummary_frameworkVersion :: Lens' ModelMetadataSummary Text Source #
The framework version of the model.
ModelMetrics
modelMetrics_bias :: Lens' ModelMetrics (Maybe Bias) Source #
Metrics that measure bais in a model.
modelMetrics_explainability :: Lens' ModelMetrics (Maybe Explainability) Source #
Metrics that help explain a model.
modelMetrics_modelDataQuality :: Lens' ModelMetrics (Maybe ModelDataQuality) Source #
Metrics that measure the quality of the input data for a model.
modelMetrics_modelQuality :: Lens' ModelMetrics (Maybe ModelQuality) Source #
Metrics that measure the quality of a model.
ModelPackage
modelPackage_additionalInferenceSpecifications :: Lens' ModelPackage (Maybe (NonEmpty AdditionalInferenceSpecificationDefinition)) Source #
An array of additional Inference Specification objects.
modelPackage_approvalDescription :: Lens' ModelPackage (Maybe Text) Source #
A description provided when the model approval is set.
modelPackage_certifyForMarketplace :: Lens' ModelPackage (Maybe Bool) Source #
Whether the model package is to be certified to be listed on Amazon Web Services Marketplace. For information about listing model packages on Amazon Web Services Marketplace, see List Your Algorithm or Model Package on Amazon Web Services Marketplace.
modelPackage_createdBy :: Lens' ModelPackage (Maybe UserContext) Source #
Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.
modelPackage_creationTime :: Lens' ModelPackage (Maybe UTCTime) Source #
The time that the model package was created.
modelPackage_customerMetadataProperties :: Lens' ModelPackage (Maybe (HashMap Text Text)) Source #
The metadata properties for the model package.
modelPackage_domain :: Lens' ModelPackage (Maybe Text) Source #
The machine learning domain of your model package and its components. Common machine learning domains include computer vision and natural language processing.
modelPackage_driftCheckBaselines :: Lens' ModelPackage (Maybe DriftCheckBaselines) Source #
Represents the drift check baselines that can be used when the model monitor is set using the model package.
modelPackage_inferenceSpecification :: Lens' ModelPackage (Maybe InferenceSpecification) Source #
Defines how to perform inference generation after a training job is run.
modelPackage_lastModifiedBy :: Lens' ModelPackage (Maybe UserContext) Source #
Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.
modelPackage_lastModifiedTime :: Lens' ModelPackage (Maybe UTCTime) Source #
The last time the model package was modified.
modelPackage_metadataProperties :: Lens' ModelPackage (Maybe MetadataProperties) Source #
Metadata properties of the tracking entity, trial, or trial component.
modelPackage_modelApprovalStatus :: Lens' ModelPackage (Maybe ModelApprovalStatus) Source #
The approval status of the model. This can be one of the following values.
APPROVED
- The model is approvedREJECTED
- The model is rejected.PENDING_MANUAL_APPROVAL
- The model is waiting for manual approval.
modelPackage_modelMetrics :: Lens' ModelPackage (Maybe ModelMetrics) Source #
Metrics for the model.
modelPackage_modelPackageArn :: Lens' ModelPackage (Maybe Text) Source #
The Amazon Resource Name (ARN) of the model package.
modelPackage_modelPackageDescription :: Lens' ModelPackage (Maybe Text) Source #
The description of the model package.
modelPackage_modelPackageGroupName :: Lens' ModelPackage (Maybe Text) Source #
The model group to which the model belongs.
modelPackage_modelPackageName :: Lens' ModelPackage (Maybe Text) Source #
The name of the model.
modelPackage_modelPackageStatus :: Lens' ModelPackage (Maybe ModelPackageStatus) Source #
The status of the model package. This can be one of the following values.
PENDING
- The model package is pending being created.IN_PROGRESS
- The model package is in the process of being created.COMPLETED
- The model package was successfully created.FAILED
- The model package failed.DELETING
- The model package is in the process of being deleted.
modelPackage_modelPackageStatusDetails :: Lens' ModelPackage (Maybe ModelPackageStatusDetails) Source #
Specifies the validation and image scan statuses of the model package.
modelPackage_modelPackageVersion :: Lens' ModelPackage (Maybe Natural) Source #
The version number of a versioned model.
modelPackage_samplePayloadUrl :: Lens' ModelPackage (Maybe Text) Source #
The Amazon Simple Storage Service path where the sample payload are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
modelPackage_sourceAlgorithmSpecification :: Lens' ModelPackage (Maybe SourceAlgorithmSpecification) Source #
A list of algorithms that were used to create a model package.
modelPackage_tags :: Lens' ModelPackage (Maybe [Tag]) Source #
A list of the tags associated with the model package. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
modelPackage_task :: Lens' ModelPackage (Maybe Text) Source #
The machine learning task your model package accomplishes. Common machine learning tasks include object detection and image classification.
modelPackage_validationSpecification :: Lens' ModelPackage (Maybe ModelPackageValidationSpecification) Source #
Specifies batch transform jobs that SageMaker runs to validate your model package.
ModelPackageContainerDefinition
modelPackageContainerDefinition_containerHostname :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #
The DNS host name for the Docker container.
modelPackageContainerDefinition_environment :: Lens' ModelPackageContainerDefinition (Maybe (HashMap Text Text)) Source #
The environment variables to set in the Docker container. Each key and
value in the Environment
string to string map can have length of up to
1024. We support up to 16 entries in the map.
modelPackageContainerDefinition_framework :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #
The machine learning framework of the model package container image.
modelPackageContainerDefinition_frameworkVersion :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #
The framework version of the Model Package Container Image.
modelPackageContainerDefinition_imageDigest :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #
An MD5 hash of the training algorithm that identifies the Docker image used for training.
modelPackageContainerDefinition_modelDataUrl :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #
The Amazon S3 path where the model artifacts, which result from model
training, are stored. This path must point to a single gzip
compressed
tar archive (.tar.gz
suffix).
The model artifacts must be in an S3 bucket that is in the same region as the model package.
modelPackageContainerDefinition_modelInput :: Lens' ModelPackageContainerDefinition (Maybe ModelInput) Source #
A structure with Model Input details.
modelPackageContainerDefinition_nearestModelName :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #
The name of a pre-trained machine learning benchmarked by Amazon
SageMaker Inference Recommender model that matches your model. You can
find a list of benchmarked models by calling ListModelMetadata
.
modelPackageContainerDefinition_productId :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #
The Amazon Web Services Marketplace product ID of the model package.
modelPackageContainerDefinition_image :: Lens' ModelPackageContainerDefinition Text Source #
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
If you are using your own custom algorithm instead of an algorithm
provided by SageMaker, the inference code must meet SageMaker
requirements. SageMaker supports both registry/repository[:tag]
and
registry/repository[@digest]
image path formats. For more
information, see
Using Your Own Algorithms with Amazon SageMaker.
ModelPackageGroup
modelPackageGroup_createdBy :: Lens' ModelPackageGroup (Maybe UserContext) Source #
Undocumented member.
modelPackageGroup_creationTime :: Lens' ModelPackageGroup (Maybe UTCTime) Source #
The time that the model group was created.
modelPackageGroup_modelPackageGroupArn :: Lens' ModelPackageGroup (Maybe Text) Source #
The Amazon Resource Name (ARN) of the model group.
modelPackageGroup_modelPackageGroupDescription :: Lens' ModelPackageGroup (Maybe Text) Source #
The description for the model group.
modelPackageGroup_modelPackageGroupName :: Lens' ModelPackageGroup (Maybe Text) Source #
The name of the model group.
modelPackageGroup_modelPackageGroupStatus :: Lens' ModelPackageGroup (Maybe ModelPackageGroupStatus) Source #
The status of the model group. This can be one of the following values.
PENDING
- The model group is pending being created.IN_PROGRESS
- The model group is in the process of being created.COMPLETED
- The model group was successfully created.FAILED
- The model group failed.DELETING
- The model group is in the process of being deleted.DELETE_FAILED
- SageMaker failed to delete the model group.
modelPackageGroup_tags :: Lens' ModelPackageGroup (Maybe [Tag]) Source #
A list of the tags associated with the model group. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
ModelPackageGroupSummary
modelPackageGroupSummary_modelPackageGroupDescription :: Lens' ModelPackageGroupSummary (Maybe Text) Source #
A description of the model group.
modelPackageGroupSummary_modelPackageGroupName :: Lens' ModelPackageGroupSummary Text Source #
The name of the model group.
modelPackageGroupSummary_modelPackageGroupArn :: Lens' ModelPackageGroupSummary Text Source #
The Amazon Resource Name (ARN) of the model group.
modelPackageGroupSummary_creationTime :: Lens' ModelPackageGroupSummary UTCTime Source #
The time that the model group was created.
modelPackageGroupSummary_modelPackageGroupStatus :: Lens' ModelPackageGroupSummary ModelPackageGroupStatus Source #
The status of the model group.
ModelPackageStatusDetails
modelPackageStatusDetails_imageScanStatuses :: Lens' ModelPackageStatusDetails (Maybe [ModelPackageStatusItem]) Source #
The status of the scan of the Docker image container for the model package.
modelPackageStatusDetails_validationStatuses :: Lens' ModelPackageStatusDetails [ModelPackageStatusItem] Source #
The validation status of the model package.
ModelPackageStatusItem
modelPackageStatusItem_failureReason :: Lens' ModelPackageStatusItem (Maybe Text) Source #
if the overall status is Failed
, the reason for the failure.
modelPackageStatusItem_name :: Lens' ModelPackageStatusItem Text Source #
The name of the model package for which the overall status is being reported.
modelPackageStatusItem_status :: Lens' ModelPackageStatusItem DetailedModelPackageStatus Source #
The current status.
ModelPackageSummary
modelPackageSummary_modelApprovalStatus :: Lens' ModelPackageSummary (Maybe ModelApprovalStatus) Source #
The approval status of the model. This can be one of the following values.
APPROVED
- The model is approvedREJECTED
- The model is rejected.PENDING_MANUAL_APPROVAL
- The model is waiting for manual approval.
modelPackageSummary_modelPackageDescription :: Lens' ModelPackageSummary (Maybe Text) Source #
A brief description of the model package.
modelPackageSummary_modelPackageGroupName :: Lens' ModelPackageSummary (Maybe Text) Source #
If the model package is a versioned model, the model group that the versioned model belongs to.
modelPackageSummary_modelPackageVersion :: Lens' ModelPackageSummary (Maybe Natural) Source #
If the model package is a versioned model, the version of the model.
modelPackageSummary_modelPackageName :: Lens' ModelPackageSummary Text Source #
The name of the model package.
modelPackageSummary_modelPackageArn :: Lens' ModelPackageSummary Text Source #
The Amazon Resource Name (ARN) of the model package.
modelPackageSummary_creationTime :: Lens' ModelPackageSummary UTCTime Source #
A timestamp that shows when the model package was created.
modelPackageSummary_modelPackageStatus :: Lens' ModelPackageSummary ModelPackageStatus Source #
The overall status of the model package.
ModelPackageValidationProfile
modelPackageValidationProfile_profileName :: Lens' ModelPackageValidationProfile Text Source #
The name of the profile for the model package.
modelPackageValidationProfile_transformJobDefinition :: Lens' ModelPackageValidationProfile TransformJobDefinition Source #
The TransformJobDefinition
object that describes the transform job
used for the validation of the model package.
ModelPackageValidationSpecification
modelPackageValidationSpecification_validationRole :: Lens' ModelPackageValidationSpecification Text Source #
The IAM roles to be used for the validation of the model package.
modelPackageValidationSpecification_validationProfiles :: Lens' ModelPackageValidationSpecification (NonEmpty ModelPackageValidationProfile) Source #
An array of ModelPackageValidationProfile
objects, each of which
specifies a batch transform job that SageMaker runs to validate your
model package.
ModelQuality
modelQuality_constraints :: Lens' ModelQuality (Maybe MetricsSource) Source #
Model quality constraints.
modelQuality_statistics :: Lens' ModelQuality (Maybe MetricsSource) Source #
Model quality statistics.
ModelQualityAppSpecification
modelQualityAppSpecification_containerArguments :: Lens' ModelQualityAppSpecification (Maybe (NonEmpty Text)) Source #
An array of arguments for the container used to run the monitoring job.
modelQualityAppSpecification_containerEntrypoint :: Lens' ModelQualityAppSpecification (Maybe (NonEmpty Text)) Source #
Specifies the entrypoint for a container that the monitoring job runs.
modelQualityAppSpecification_environment :: Lens' ModelQualityAppSpecification (Maybe (HashMap Text Text)) Source #
Sets the environment variables in the container that the monitoring job runs.
modelQualityAppSpecification_postAnalyticsProcessorSourceUri :: Lens' ModelQualityAppSpecification (Maybe Text) Source #
An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
modelQualityAppSpecification_problemType :: Lens' ModelQualityAppSpecification (Maybe MonitoringProblemType) Source #
The machine learning problem type of the model that the monitoring job monitors.
modelQualityAppSpecification_recordPreprocessorSourceUri :: Lens' ModelQualityAppSpecification (Maybe Text) Source #
An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
modelQualityAppSpecification_imageUri :: Lens' ModelQualityAppSpecification Text Source #
The address of the container image that the monitoring job runs.
ModelQualityBaselineConfig
modelQualityBaselineConfig_baseliningJobName :: Lens' ModelQualityBaselineConfig (Maybe Text) Source #
The name of the job that performs baselining for the monitoring job.
modelQualityBaselineConfig_constraintsResource :: Lens' ModelQualityBaselineConfig (Maybe MonitoringConstraintsResource) Source #
Undocumented member.
ModelQualityJobInput
modelQualityJobInput_batchTransformInput :: Lens' ModelQualityJobInput (Maybe BatchTransformInput) Source #
Input object for the batch transform job.
modelQualityJobInput_endpointInput :: Lens' ModelQualityJobInput (Maybe EndpointInput) Source #
Undocumented member.
modelQualityJobInput_groundTruthS3Input :: Lens' ModelQualityJobInput MonitoringGroundTruthS3Input Source #
The ground truth label provided for the model.
ModelStepMetadata
modelStepMetadata_arn :: Lens' ModelStepMetadata (Maybe Text) Source #
The Amazon Resource Name (ARN) of the created model.
ModelSummary
modelSummary_modelName :: Lens' ModelSummary Text Source #
The name of the model that you want a summary for.
modelSummary_modelArn :: Lens' ModelSummary Text Source #
The Amazon Resource Name (ARN) of the model.
modelSummary_creationTime :: Lens' ModelSummary UTCTime Source #
A timestamp that indicates when the model was created.
ModelVariantConfig
modelVariantConfig_modelName :: Lens' ModelVariantConfig Text Source #
The name of the Amazon SageMaker Model entity.
modelVariantConfig_variantName :: Lens' ModelVariantConfig Text Source #
The name of the variant.
modelVariantConfig_infrastructureConfig :: Lens' ModelVariantConfig ModelInfrastructureConfig Source #
The configuration for the infrastructure that the model will be deployed to.
ModelVariantConfigSummary
modelVariantConfigSummary_modelName :: Lens' ModelVariantConfigSummary Text Source #
The name of the Amazon SageMaker Model entity.
modelVariantConfigSummary_variantName :: Lens' ModelVariantConfigSummary Text Source #
The name of the variant.
modelVariantConfigSummary_infrastructureConfig :: Lens' ModelVariantConfigSummary ModelInfrastructureConfig Source #
The configuration of the infrastructure that the model has been deployed to.
modelVariantConfigSummary_status :: Lens' ModelVariantConfigSummary ModelVariantStatus Source #
The status of deployment for the model variant on the hosted inference endpoint.
Creating
- Amazon SageMaker is preparing the model variant on the hosted inference endpoint.InService
- The model variant is running on the hosted inference endpoint.Updating
- Amazon SageMaker is updating the model variant on the hosted inference endpoint.Deleting
- Amazon SageMaker is deleting the model variant on the hosted inference endpoint.Deleted
- The model variant has been deleted on the hosted inference endpoint. This can only happen after stopping the experiment.
MonitoringAlertActions
monitoringAlertActions_modelDashboardIndicator :: Lens' MonitoringAlertActions (Maybe ModelDashboardIndicatorAction) Source #
An alert action taken to light up an icon on the Model Dashboard when an
alert goes into InAlert
status.
MonitoringAlertHistorySummary
monitoringAlertHistorySummary_monitoringScheduleName :: Lens' MonitoringAlertHistorySummary Text Source #
The name of a monitoring schedule.
monitoringAlertHistorySummary_monitoringAlertName :: Lens' MonitoringAlertHistorySummary Text Source #
The name of a monitoring alert.
monitoringAlertHistorySummary_creationTime :: Lens' MonitoringAlertHistorySummary UTCTime Source #
A timestamp that indicates when the first alert transition occurred in
an alert history. An alert transition can be from status InAlert
to
OK
, or from OK
to InAlert
.
monitoringAlertHistorySummary_alertStatus :: Lens' MonitoringAlertHistorySummary MonitoringAlertStatus Source #
The current alert status of an alert.
MonitoringAlertSummary
monitoringAlertSummary_monitoringAlertName :: Lens' MonitoringAlertSummary Text Source #
The name of a monitoring alert.
monitoringAlertSummary_creationTime :: Lens' MonitoringAlertSummary UTCTime Source #
A timestamp that indicates when a monitor alert was created.
monitoringAlertSummary_lastModifiedTime :: Lens' MonitoringAlertSummary UTCTime Source #
A timestamp that indicates when a monitor alert was last updated.
monitoringAlertSummary_alertStatus :: Lens' MonitoringAlertSummary MonitoringAlertStatus Source #
The current status of an alert.
monitoringAlertSummary_datapointsToAlert :: Lens' MonitoringAlertSummary Natural Source #
Within EvaluationPeriod
, how many execution failures will raise an
alert.
monitoringAlertSummary_evaluationPeriod :: Lens' MonitoringAlertSummary Natural Source #
The number of most recent monitoring executions to consider when evaluating alert status.
monitoringAlertSummary_actions :: Lens' MonitoringAlertSummary MonitoringAlertActions Source #
A list of alert actions taken in response to an alert going into
InAlert
status.
MonitoringAppSpecification
monitoringAppSpecification_containerArguments :: Lens' MonitoringAppSpecification (Maybe (NonEmpty Text)) Source #
An array of arguments for the container used to run the monitoring job.
monitoringAppSpecification_containerEntrypoint :: Lens' MonitoringAppSpecification (Maybe (NonEmpty Text)) Source #
Specifies the entrypoint for a container used to run the monitoring job.
monitoringAppSpecification_postAnalyticsProcessorSourceUri :: Lens' MonitoringAppSpecification (Maybe Text) Source #
An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
monitoringAppSpecification_recordPreprocessorSourceUri :: Lens' MonitoringAppSpecification (Maybe Text) Source #
An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
monitoringAppSpecification_imageUri :: Lens' MonitoringAppSpecification Text Source #
The container image to be run by the monitoring job.
MonitoringBaselineConfig
monitoringBaselineConfig_baseliningJobName :: Lens' MonitoringBaselineConfig (Maybe Text) Source #
The name of the job that performs baselining for the monitoring job.
monitoringBaselineConfig_constraintsResource :: Lens' MonitoringBaselineConfig (Maybe MonitoringConstraintsResource) Source #
The baseline constraint file in Amazon S3 that the current monitoring job should validated against.
monitoringBaselineConfig_statisticsResource :: Lens' MonitoringBaselineConfig (Maybe MonitoringStatisticsResource) Source #
The baseline statistics file in Amazon S3 that the current monitoring job should be validated against.
MonitoringClusterConfig
monitoringClusterConfig_volumeKmsKeyId :: Lens' MonitoringClusterConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
monitoringClusterConfig_instanceCount :: Lens' MonitoringClusterConfig Natural Source #
The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
monitoringClusterConfig_instanceType :: Lens' MonitoringClusterConfig ProcessingInstanceType Source #
The ML compute instance type for the processing job.
monitoringClusterConfig_volumeSizeInGB :: Lens' MonitoringClusterConfig Natural Source #
The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
MonitoringConstraintsResource
monitoringConstraintsResource_s3Uri :: Lens' MonitoringConstraintsResource (Maybe Text) Source #
The Amazon S3 URI for the constraints resource.
MonitoringCsvDatasetFormat
monitoringCsvDatasetFormat_header :: Lens' MonitoringCsvDatasetFormat (Maybe Bool) Source #
Indicates if the CSV data has a header.
MonitoringDatasetFormat
monitoringDatasetFormat_csv :: Lens' MonitoringDatasetFormat (Maybe MonitoringCsvDatasetFormat) Source #
The CSV dataset used in the monitoring job.
monitoringDatasetFormat_json :: Lens' MonitoringDatasetFormat (Maybe MonitoringJsonDatasetFormat) Source #
The JSON dataset used in the monitoring job
monitoringDatasetFormat_parquet :: Lens' MonitoringDatasetFormat (Maybe MonitoringParquetDatasetFormat) Source #
The Parquet dataset used in the monitoring job
MonitoringExecutionSummary
monitoringExecutionSummary_endpointName :: Lens' MonitoringExecutionSummary (Maybe Text) Source #
The name of the endpoint used to run the monitoring job.
monitoringExecutionSummary_failureReason :: Lens' MonitoringExecutionSummary (Maybe Text) Source #
Contains the reason a monitoring job failed, if it failed.
monitoringExecutionSummary_monitoringJobDefinitionName :: Lens' MonitoringExecutionSummary (Maybe Text) Source #
The name of the monitoring job.
monitoringExecutionSummary_monitoringType :: Lens' MonitoringExecutionSummary (Maybe MonitoringType) Source #
The type of the monitoring job.
monitoringExecutionSummary_processingJobArn :: Lens' MonitoringExecutionSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the monitoring job.
monitoringExecutionSummary_monitoringScheduleName :: Lens' MonitoringExecutionSummary Text Source #
The name of the monitoring schedule.
monitoringExecutionSummary_scheduledTime :: Lens' MonitoringExecutionSummary UTCTime Source #
The time the monitoring job was scheduled.
monitoringExecutionSummary_creationTime :: Lens' MonitoringExecutionSummary UTCTime Source #
The time at which the monitoring job was created.
monitoringExecutionSummary_lastModifiedTime :: Lens' MonitoringExecutionSummary UTCTime Source #
A timestamp that indicates the last time the monitoring job was modified.
monitoringExecutionSummary_monitoringExecutionStatus :: Lens' MonitoringExecutionSummary ExecutionStatus Source #
The status of the monitoring job.
MonitoringGroundTruthS3Input
monitoringGroundTruthS3Input_s3Uri :: Lens' MonitoringGroundTruthS3Input (Maybe Text) Source #
The address of the Amazon S3 location of the ground truth labels.
MonitoringInput
monitoringInput_batchTransformInput :: Lens' MonitoringInput (Maybe BatchTransformInput) Source #
Input object for the batch transform job.
monitoringInput_endpointInput :: Lens' MonitoringInput (Maybe EndpointInput) Source #
The endpoint for a monitoring job.
MonitoringJobDefinition
monitoringJobDefinition_baselineConfig :: Lens' MonitoringJobDefinition (Maybe MonitoringBaselineConfig) Source #
Baseline configuration used to validate that the data conforms to the specified constraints and statistics
monitoringJobDefinition_environment :: Lens' MonitoringJobDefinition (Maybe (HashMap Text Text)) Source #
Sets the environment variables in the Docker container.
monitoringJobDefinition_networkConfig :: Lens' MonitoringJobDefinition (Maybe NetworkConfig) Source #
Specifies networking options for an monitoring job.
monitoringJobDefinition_stoppingCondition :: Lens' MonitoringJobDefinition (Maybe MonitoringStoppingCondition) Source #
Specifies a time limit for how long the monitoring job is allowed to run.
monitoringJobDefinition_monitoringInputs :: Lens' MonitoringJobDefinition (NonEmpty MonitoringInput) Source #
The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker Endpoint.
monitoringJobDefinition_monitoringOutputConfig :: Lens' MonitoringJobDefinition MonitoringOutputConfig Source #
The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3).
monitoringJobDefinition_monitoringResources :: Lens' MonitoringJobDefinition MonitoringResources Source #
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.
monitoringJobDefinition_monitoringAppSpecification :: Lens' MonitoringJobDefinition MonitoringAppSpecification Source #
Configures the monitoring job to run a specified Docker container image.
monitoringJobDefinition_roleArn :: Lens' MonitoringJobDefinition Text Source #
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
MonitoringJobDefinitionSummary
monitoringJobDefinitionSummary_monitoringJobDefinitionName :: Lens' MonitoringJobDefinitionSummary Text Source #
The name of the monitoring job.
monitoringJobDefinitionSummary_monitoringJobDefinitionArn :: Lens' MonitoringJobDefinitionSummary Text Source #
The Amazon Resource Name (ARN) of the monitoring job.
monitoringJobDefinitionSummary_creationTime :: Lens' MonitoringJobDefinitionSummary UTCTime Source #
The time that the monitoring job was created.
monitoringJobDefinitionSummary_endpointName :: Lens' MonitoringJobDefinitionSummary Text Source #
The name of the endpoint that the job monitors.
MonitoringJsonDatasetFormat
monitoringJsonDatasetFormat_line :: Lens' MonitoringJsonDatasetFormat (Maybe Bool) Source #
Indicates if the file should be read as a json object per line.
MonitoringNetworkConfig
monitoringNetworkConfig_enableInterContainerTrafficEncryption :: Lens' MonitoringNetworkConfig (Maybe Bool) Source #
Whether to encrypt all communications between the instances used for the
monitoring jobs. Choose True
to encrypt communications. Encryption
provides greater security for distributed jobs, but the processing might
take longer.
monitoringNetworkConfig_enableNetworkIsolation :: Lens' MonitoringNetworkConfig (Maybe Bool) Source #
Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
monitoringNetworkConfig_vpcConfig :: Lens' MonitoringNetworkConfig (Maybe VpcConfig) Source #
Undocumented member.
MonitoringOutput
monitoringOutput_s3Output :: Lens' MonitoringOutput MonitoringS3Output Source #
The Amazon S3 storage location where the results of a monitoring job are saved.
MonitoringOutputConfig
monitoringOutputConfig_kmsKeyId :: Lens' MonitoringOutputConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
monitoringOutputConfig_monitoringOutputs :: Lens' MonitoringOutputConfig (NonEmpty MonitoringOutput) Source #
Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
MonitoringParquetDatasetFormat
MonitoringResources
monitoringResources_clusterConfig :: Lens' MonitoringResources MonitoringClusterConfig Source #
The configuration for the cluster resources used to run the processing job.
MonitoringS3Output
monitoringS3Output_s3UploadMode :: Lens' MonitoringS3Output (Maybe ProcessingS3UploadMode) Source #
Whether to upload the results of the monitoring job continuously or after the job completes.
monitoringS3Output_s3Uri :: Lens' MonitoringS3Output Text Source #
A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.
monitoringS3Output_localPath :: Lens' MonitoringS3Output Text Source #
The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.
MonitoringSchedule
monitoringSchedule_creationTime :: Lens' MonitoringSchedule (Maybe UTCTime) Source #
The time that the monitoring schedule was created.
monitoringSchedule_endpointName :: Lens' MonitoringSchedule (Maybe Text) Source #
The endpoint that hosts the model being monitored.
monitoringSchedule_failureReason :: Lens' MonitoringSchedule (Maybe Text) Source #
If the monitoring schedule failed, the reason it failed.
monitoringSchedule_lastModifiedTime :: Lens' MonitoringSchedule (Maybe UTCTime) Source #
The last time the monitoring schedule was changed.
monitoringSchedule_lastMonitoringExecutionSummary :: Lens' MonitoringSchedule (Maybe MonitoringExecutionSummary) Source #
Undocumented member.
monitoringSchedule_monitoringScheduleArn :: Lens' MonitoringSchedule (Maybe Text) Source #
The Amazon Resource Name (ARN) of the monitoring schedule.
monitoringSchedule_monitoringScheduleConfig :: Lens' MonitoringSchedule (Maybe MonitoringScheduleConfig) Source #
Undocumented member.
monitoringSchedule_monitoringScheduleName :: Lens' MonitoringSchedule (Maybe Text) Source #
The name of the monitoring schedule.
monitoringSchedule_monitoringScheduleStatus :: Lens' MonitoringSchedule (Maybe ScheduleStatus) Source #
The status of the monitoring schedule. This can be one of the following values.
PENDING
- The schedule is pending being created.FAILED
- The schedule failed.SCHEDULED
- The schedule was successfully created.STOPPED
- The schedule was stopped.
monitoringSchedule_monitoringType :: Lens' MonitoringSchedule (Maybe MonitoringType) Source #
The type of the monitoring job definition to schedule.
monitoringSchedule_tags :: Lens' MonitoringSchedule (Maybe [Tag]) Source #
A list of the tags associated with the monitoring schedlue. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
MonitoringScheduleConfig
monitoringScheduleConfig_monitoringJobDefinition :: Lens' MonitoringScheduleConfig (Maybe MonitoringJobDefinition) Source #
Defines the monitoring job.
monitoringScheduleConfig_monitoringJobDefinitionName :: Lens' MonitoringScheduleConfig (Maybe Text) Source #
The name of the monitoring job definition to schedule.
monitoringScheduleConfig_monitoringType :: Lens' MonitoringScheduleConfig (Maybe MonitoringType) Source #
The type of the monitoring job definition to schedule.
monitoringScheduleConfig_scheduleConfig :: Lens' MonitoringScheduleConfig (Maybe ScheduleConfig) Source #
Configures the monitoring schedule.
MonitoringScheduleSummary
monitoringScheduleSummary_endpointName :: Lens' MonitoringScheduleSummary (Maybe Text) Source #
The name of the endpoint using the monitoring schedule.
monitoringScheduleSummary_monitoringJobDefinitionName :: Lens' MonitoringScheduleSummary (Maybe Text) Source #
The name of the monitoring job definition that the schedule is for.
monitoringScheduleSummary_monitoringType :: Lens' MonitoringScheduleSummary (Maybe MonitoringType) Source #
The type of the monitoring job definition that the schedule is for.
monitoringScheduleSummary_monitoringScheduleName :: Lens' MonitoringScheduleSummary Text Source #
The name of the monitoring schedule.
monitoringScheduleSummary_monitoringScheduleArn :: Lens' MonitoringScheduleSummary Text Source #
The Amazon Resource Name (ARN) of the monitoring schedule.
monitoringScheduleSummary_creationTime :: Lens' MonitoringScheduleSummary UTCTime Source #
The creation time of the monitoring schedule.
monitoringScheduleSummary_lastModifiedTime :: Lens' MonitoringScheduleSummary UTCTime Source #
The last time the monitoring schedule was modified.
monitoringScheduleSummary_monitoringScheduleStatus :: Lens' MonitoringScheduleSummary ScheduleStatus Source #
The status of the monitoring schedule.
MonitoringStatisticsResource
monitoringStatisticsResource_s3Uri :: Lens' MonitoringStatisticsResource (Maybe Text) Source #
The Amazon S3 URI for the statistics resource.
MonitoringStoppingCondition
monitoringStoppingCondition_maxRuntimeInSeconds :: Lens' MonitoringStoppingCondition Natural Source #
The maximum runtime allowed in seconds.
The MaxRuntimeInSeconds
cannot exceed the frequency of the job. For
data quality and model explainability, this can be up to 3600 seconds
for an hourly schedule. For model bias and model quality hourly
schedules, this can be up to 1800 seconds.
MultiModelConfig
multiModelConfig_modelCacheSetting :: Lens' MultiModelConfig (Maybe ModelCacheSetting) Source #
Whether to cache models for a multi-model endpoint. By default,
multi-model endpoints cache models so that a model does not have to be
loaded into memory each time it is invoked. Some use cases do not
benefit from model caching. For example, if an endpoint hosts a large
number of models that are each invoked infrequently, the endpoint might
perform better if you disable model caching. To disable model caching,
set the value of this parameter to Disabled
.
NeoVpcConfig
neoVpcConfig_securityGroupIds :: Lens' NeoVpcConfig (NonEmpty Text) Source #
The VPC security group IDs. IDs have the form of sg-xxxxxxxx
. Specify
the security groups for the VPC that is specified in the Subnets
field.
neoVpcConfig_subnets :: Lens' NeoVpcConfig (NonEmpty Text) Source #
The ID of the subnets in the VPC that you want to connect the compilation job to for accessing the model in Amazon S3.
NestedFilters
nestedFilters_nestedPropertyName :: Lens' NestedFilters Text Source #
The name of the property to use in the nested filters. The value must
match a listed property name, such as InputDataConfig
.
nestedFilters_filters :: Lens' NestedFilters (NonEmpty Filter) Source #
A list of filters. Each filter acts on a property. Filters must contain
at least one Filters
value. For example, a NestedFilters
call might
include a filter on the PropertyName
parameter of the
InputDataConfig
property:
InputDataConfig.DataSource.S3DataSource.S3Uri
.
NetworkConfig
networkConfig_enableInterContainerTrafficEncryption :: Lens' NetworkConfig (Maybe Bool) Source #
Whether to encrypt all communications between distributed processing
jobs. Choose True
to encrypt communications. Encryption provides
greater security for distributed processing jobs, but the processing
might take longer.
networkConfig_enableNetworkIsolation :: Lens' NetworkConfig (Maybe Bool) Source #
Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
networkConfig_vpcConfig :: Lens' NetworkConfig (Maybe VpcConfig) Source #
Undocumented member.
NotebookInstanceLifecycleConfigSummary
notebookInstanceLifecycleConfigSummary_creationTime :: Lens' NotebookInstanceLifecycleConfigSummary (Maybe UTCTime) Source #
A timestamp that tells when the lifecycle configuration was created.
notebookInstanceLifecycleConfigSummary_lastModifiedTime :: Lens' NotebookInstanceLifecycleConfigSummary (Maybe UTCTime) Source #
A timestamp that tells when the lifecycle configuration was last modified.
notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigName :: Lens' NotebookInstanceLifecycleConfigSummary Text Source #
The name of the lifecycle configuration.
notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigArn :: Lens' NotebookInstanceLifecycleConfigSummary Text Source #
The Amazon Resource Name (ARN) of the lifecycle configuration.
NotebookInstanceLifecycleHook
notebookInstanceLifecycleHook_content :: Lens' NotebookInstanceLifecycleHook (Maybe Text) Source #
A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.
NotebookInstanceSummary
notebookInstanceSummary_additionalCodeRepositories :: Lens' NotebookInstanceSummary (Maybe [Text]) Source #
An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker Notebook Instances.
notebookInstanceSummary_creationTime :: Lens' NotebookInstanceSummary (Maybe UTCTime) Source #
A timestamp that shows when the notebook instance was created.
notebookInstanceSummary_defaultCodeRepository :: Lens' NotebookInstanceSummary (Maybe Text) Source #
The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker Notebook Instances.
notebookInstanceSummary_instanceType :: Lens' NotebookInstanceSummary (Maybe InstanceType) Source #
The type of ML compute instance that the notebook instance is running on.
notebookInstanceSummary_lastModifiedTime :: Lens' NotebookInstanceSummary (Maybe UTCTime) Source #
A timestamp that shows when the notebook instance was last modified.
notebookInstanceSummary_notebookInstanceLifecycleConfigName :: Lens' NotebookInstanceSummary (Maybe Text) Source #
The name of a notebook instance lifecycle configuration associated with this notebook instance.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
notebookInstanceSummary_notebookInstanceStatus :: Lens' NotebookInstanceSummary (Maybe NotebookInstanceStatus) Source #
The status of the notebook instance.
notebookInstanceSummary_url :: Lens' NotebookInstanceSummary (Maybe Text) Source #
The URL that you use to connect to the Jupyter notebook running in your notebook instance.
notebookInstanceSummary_notebookInstanceName :: Lens' NotebookInstanceSummary Text Source #
The name of the notebook instance that you want a summary for.
notebookInstanceSummary_notebookInstanceArn :: Lens' NotebookInstanceSummary Text Source #
The Amazon Resource Name (ARN) of the notebook instance.
NotificationConfiguration
notificationConfiguration_notificationTopicArn :: Lens' NotificationConfiguration (Maybe Text) Source #
The ARN for the Amazon SNS topic to which notifications should be published.
ObjectiveStatusCounters
objectiveStatusCounters_failed :: Lens' ObjectiveStatusCounters (Maybe Natural) Source #
The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.
objectiveStatusCounters_pending :: Lens' ObjectiveStatusCounters (Maybe Natural) Source #
The number of training jobs that are in progress and pending evaluation of their final objective metric.
objectiveStatusCounters_succeeded :: Lens' ObjectiveStatusCounters (Maybe Natural) Source #
The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
OfflineStoreConfig
offlineStoreConfig_dataCatalogConfig :: Lens' OfflineStoreConfig (Maybe DataCatalogConfig) Source #
The meta data of the Glue table that is autogenerated when an
OfflineStore
is created.
offlineStoreConfig_disableGlueTableCreation :: Lens' OfflineStoreConfig (Maybe Bool) Source #
Set to True
to disable the automatic creation of an Amazon Web
Services Glue table when configuring an OfflineStore
.
offlineStoreConfig_tableFormat :: Lens' OfflineStoreConfig (Maybe TableFormat) Source #
Format for the offline store table. Supported formats are Glue (Default) and Apache Iceberg.
offlineStoreConfig_s3StorageConfig :: Lens' OfflineStoreConfig S3StorageConfig Source #
The Amazon Simple Storage (Amazon S3) location of OfflineStore
.
OfflineStoreStatus
offlineStoreStatus_blockedReason :: Lens' OfflineStoreStatus (Maybe Text) Source #
The justification for why the OfflineStoreStatus is Blocked (if applicable).
offlineStoreStatus_status :: Lens' OfflineStoreStatus OfflineStoreStatusValue Source #
An OfflineStore
status.
OidcConfig
oidcConfig_clientId :: Lens' OidcConfig Text Source #
The OIDC IdP client ID used to configure your private workforce.
oidcConfig_clientSecret :: Lens' OidcConfig Text Source #
The OIDC IdP client secret used to configure your private workforce.
oidcConfig_issuer :: Lens' OidcConfig Text Source #
The OIDC IdP issuer used to configure your private workforce.
oidcConfig_authorizationEndpoint :: Lens' OidcConfig Text Source #
The OIDC IdP authorization endpoint used to configure your private workforce.
oidcConfig_tokenEndpoint :: Lens' OidcConfig Text Source #
The OIDC IdP token endpoint used to configure your private workforce.
oidcConfig_userInfoEndpoint :: Lens' OidcConfig Text Source #
The OIDC IdP user information endpoint used to configure your private workforce.
oidcConfig_logoutEndpoint :: Lens' OidcConfig Text Source #
The OIDC IdP logout endpoint used to configure your private workforce.
oidcConfig_jwksUri :: Lens' OidcConfig Text Source #
The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.
OidcConfigForResponse
oidcConfigForResponse_authorizationEndpoint :: Lens' OidcConfigForResponse (Maybe Text) Source #
The OIDC IdP authorization endpoint used to configure your private workforce.
oidcConfigForResponse_clientId :: Lens' OidcConfigForResponse (Maybe Text) Source #
The OIDC IdP client ID used to configure your private workforce.
oidcConfigForResponse_issuer :: Lens' OidcConfigForResponse (Maybe Text) Source #
The OIDC IdP issuer used to configure your private workforce.
oidcConfigForResponse_jwksUri :: Lens' OidcConfigForResponse (Maybe Text) Source #
The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.
oidcConfigForResponse_logoutEndpoint :: Lens' OidcConfigForResponse (Maybe Text) Source #
The OIDC IdP logout endpoint used to configure your private workforce.
oidcConfigForResponse_tokenEndpoint :: Lens' OidcConfigForResponse (Maybe Text) Source #
The OIDC IdP token endpoint used to configure your private workforce.
oidcConfigForResponse_userInfoEndpoint :: Lens' OidcConfigForResponse (Maybe Text) Source #
The OIDC IdP user information endpoint used to configure your private workforce.
OidcMemberDefinition
oidcMemberDefinition_groups :: Lens' OidcMemberDefinition (NonEmpty Text) Source #
A list of comma seperated strings that identifies user groups in your OIDC IdP. Each user group is made up of a group of private workers.
OnlineStoreConfig
onlineStoreConfig_enableOnlineStore :: Lens' OnlineStoreConfig (Maybe Bool) Source #
Turn OnlineStore
off by specifying False
for the EnableOnlineStore
flag. Turn OnlineStore
on by specifying True
for the
EnableOnlineStore
flag.
The default value is False
.
onlineStoreConfig_securityConfig :: Lens' OnlineStoreConfig (Maybe OnlineStoreSecurityConfig) Source #
Use to specify KMS Key ID (KMSKeyId
) for at-rest encryption of your
OnlineStore
.
OnlineStoreSecurityConfig
onlineStoreSecurityConfig_kmsKeyId :: Lens' OnlineStoreSecurityConfig (Maybe Text) Source #
The ID of the Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker Feature Store uses to encrypt the Amazon S3 objects at rest using Amazon S3 server-side encryption.
The caller (either IAM user or IAM role) of CreateFeatureGroup
must
have below permissions to the OnlineStore
KmsKeyId
:
"kms:Encrypt"
"kms:Decrypt"
"kms:DescribeKey"
"kms:CreateGrant"
"kms:RetireGrant"
"kms:ReEncryptFrom"
"kms:ReEncryptTo"
"kms:GenerateDataKey"
"kms:ListAliases"
"kms:ListGrants"
"kms:RevokeGrant"
The caller (either IAM user or IAM role) to all DataPlane operations
(PutRecord
, GetRecord
, DeleteRecord
) must have the following
permissions to the KmsKeyId
:
"kms:Decrypt"
OutputConfig
outputConfig_compilerOptions :: Lens' OutputConfig (Maybe Text) Source #
Specifies additional parameters for compiler options in JSON format. The
compiler options are TargetPlatform
specific. It is required for
NVIDIA accelerators and highly recommended for CPU compilations. For any
other cases, it is optional to specify CompilerOptions.
DTYPE
: Specifies the data type for the input. When compiling forml_*
(except forml_inf
) instances using PyTorch framework, provide the data type (dtype) of the model's input."float32"
is used if"DTYPE"
is not specified. Options for data type are:- float32: Use either
"float"
or"float32"
. - int64: Use either
"int64"
or"long"
.
For example,
{"dtype" : "float32"}
.- float32: Use either
CPU
: Compilation for CPU supports the following compiler options.mcpu
: CPU micro-architecture. For example,{'mcpu': 'skylake-avx512'}
mattr
: CPU flags. For example,{'mattr': ['+neon', '+vfpv4']}
ARM
: Details of ARM CPU compilations.NEON
: NEON is an implementation of the Advanced SIMD extension used in ARMv7 processors.For example, add
{'mattr': ['+neon']}
to the compiler options if compiling for ARM 32-bit platform with the NEON support.
NVIDIA
: Compilation for NVIDIA GPU supports the following compiler options.gpu_code
: Specifies the targeted architecture.trt-ver
: Specifies the TensorRT versions in x.y.z. format.cuda-ver
: Specifies the CUDA version in x.y format.
For example,
{'gpu-code': 'sm_72', 'trt-ver': '6.0.1', 'cuda-ver': '10.1'}
ANDROID
: Compilation for the Android OS supports the following compiler options:ANDROID_PLATFORM
: Specifies the Android API levels. Available levels range from 21 to 29. For example,{'ANDROID_PLATFORM': 28}
.mattr
: Add{'mattr': ['+neon']}
to compiler options if compiling for ARM 32-bit platform with NEON support.
INFERENTIA
: Compilation for target ml_inf1 uses compiler options passed in as a JSON string. For example,"CompilerOptions": "\"--verbose 1 --num-neuroncores 2 -O2\""
.For information about supported compiler options, see Neuron Compiler CLI.
CoreML
: Compilation for the CoreML OutputConfig$TargetDevice supports the following compiler options:class_labels
: Specifies the classification labels file name inside input tar.gz file. For example,{"class_labels": "imagenet_labels_1000.txt"}
. Labels inside the txt file should be separated by newlines.
EIA
: Compilation for the Elastic Inference Accelerator supports the following compiler options:precision_mode
: Specifies the precision of compiled artifacts. Supported values are"FP16"
and"FP32"
. Default is"FP32"
.signature_def_key
: Specifies the signature to use for models in SavedModel format. Defaults is TensorFlow's default signature def key.output_names
: Specifies a list of output tensor names for models in FrozenGraph format. Set at most one API field, either:signature_def_key
oroutput_names
.
For example:
{"precision_mode": "FP32", "output_names": ["output:0"]}
outputConfig_kmsKeyId :: Lens' OutputConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker uses to encrypt your output models with Amazon S3 server-side encryption after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KmsKeyId can be any of the following formats:
- Key ID:
1234abcd-12ab-34cd-56ef-1234567890ab
- Key ARN:
arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
- Alias name:
alias/ExampleAlias
- Alias name ARN:
arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
outputConfig_targetDevice :: Lens' OutputConfig (Maybe TargetDevice) Source #
Identifies the target device or the machine learning instance that you
want to run your model on after the compilation has completed.
Alternatively, you can specify OS, architecture, and accelerator using
TargetPlatform fields. It can be used instead of TargetPlatform
.
outputConfig_targetPlatform :: Lens' OutputConfig (Maybe TargetPlatform) Source #
Contains information about a target platform that you want your model to
run on, such as OS, architecture, and accelerators. It is an alternative
of TargetDevice
.
The following examples show how to configure the TargetPlatform
and
CompilerOptions
JSON strings for popular target platforms:
Raspberry Pi 3 Model B+
"TargetPlatform": {"Os": "LINUX", "Arch": "ARM_EABIHF"},
"CompilerOptions": {'mattr': ['+neon']}
Jetson TX2
"TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "NVIDIA"},
"CompilerOptions": {'gpu-code': 'sm_62', 'trt-ver': '6.0.1', 'cuda-ver': '10.0'}
EC2 m5.2xlarge instance OS
"TargetPlatform": {"Os": "LINUX", "Arch": "X86_64", "Accelerator": "NVIDIA"},
"CompilerOptions": {'mcpu': 'skylake-avx512'}
RK3399
"TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "MALI"}
ARMv7 phone (CPU)
"TargetPlatform": {"Os": "ANDROID", "Arch": "ARM_EABI"},
"CompilerOptions": {'ANDROID_PLATFORM': 25, 'mattr': ['+neon']}
ARMv8 phone (CPU)
"TargetPlatform": {"Os": "ANDROID", "Arch": "ARM64"},
"CompilerOptions": {'ANDROID_PLATFORM': 29}
outputConfig_s3OutputLocation :: Lens' OutputConfig Text Source #
Identifies the S3 bucket where you want Amazon SageMaker to store the
model artifacts. For example, s3://bucket-name/key-name-prefix
.
OutputDataConfig
outputDataConfig_kmsKeyId :: Lens' OutputDataConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS)
key that SageMaker uses to encrypt the model artifacts at rest using
Amazon S3 server-side encryption. The KmsKeyId
can be any of the
following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the SageMaker
execution role must include permissions to call kms:Encrypt
. If you
don't provide a KMS key ID, SageMaker uses the default KMS key for
Amazon S3 for your role's account. SageMaker uses server-side
encryption with KMS-managed keys for OutputDataConfig
. If you use a
bucket policy with an s3:PutObject
permission that only allows objects
with server-side encryption, set the condition key of
s3:x-amz-server-side-encryption
to "aws:kms"
. For more
information, see
KMS-Managed Encryption Keys
in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you
specify in your CreateTrainingJob
, CreateTransformJob
, or
CreateHyperParameterTuningJob
requests. For more information, see
Using Key Policies in Amazon Web Services KMS
in the Amazon Web Services Key Management Service Developer Guide.
outputDataConfig_s3OutputPath :: Lens' OutputDataConfig Text Source #
Identifies the S3 path where you want SageMaker to store the model
artifacts. For example, s3://bucket-name/key-name-prefix
.
OutputParameter
outputParameter_name :: Lens' OutputParameter Text Source #
The name of the output parameter.
outputParameter_value :: Lens' OutputParameter Text Source #
The value of the output parameter.
ParallelismConfiguration
parallelismConfiguration_maxParallelExecutionSteps :: Lens' ParallelismConfiguration Natural Source #
The max number of steps that can be executed in parallel.
Parameter
parameter_name :: Lens' Parameter Text Source #
The name of the parameter to assign a value to. This parameter name must match a named parameter in the pipeline definition.
ParameterRange
parameterRange_categoricalParameterRangeSpecification :: Lens' ParameterRange (Maybe CategoricalParameterRangeSpecification) Source #
A CategoricalParameterRangeSpecification
object that defines the
possible values for a categorical hyperparameter.
parameterRange_continuousParameterRangeSpecification :: Lens' ParameterRange (Maybe ContinuousParameterRangeSpecification) Source #
A ContinuousParameterRangeSpecification
object that defines the
possible values for a continuous hyperparameter.
parameterRange_integerParameterRangeSpecification :: Lens' ParameterRange (Maybe IntegerParameterRangeSpecification) Source #
A IntegerParameterRangeSpecification
object that defines the possible
values for an integer hyperparameter.
ParameterRanges
parameterRanges_categoricalParameterRanges :: Lens' ParameterRanges (Maybe [CategoricalParameterRange]) Source #
The array of CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter tuning job searches.
parameterRanges_continuousParameterRanges :: Lens' ParameterRanges (Maybe [ContinuousParameterRange]) Source #
The array of ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter tuning job searches.
parameterRanges_integerParameterRanges :: Lens' ParameterRanges (Maybe [IntegerParameterRange]) Source #
The array of IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job searches.
Parent
ParentHyperParameterTuningJob
parentHyperParameterTuningJob_hyperParameterTuningJobName :: Lens' ParentHyperParameterTuningJob (Maybe Text) Source #
The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
PendingDeploymentSummary
pendingDeploymentSummary_productionVariants :: Lens' PendingDeploymentSummary (Maybe (NonEmpty PendingProductionVariantSummary)) Source #
An array of PendingProductionVariantSummary objects, one for each model hosted behind this endpoint for the in-progress deployment.
pendingDeploymentSummary_shadowProductionVariants :: Lens' PendingDeploymentSummary (Maybe (NonEmpty PendingProductionVariantSummary)) Source #
An array of PendingProductionVariantSummary objects, one for each model
hosted behind this endpoint in shadow mode with production traffic
replicated from the model specified on ProductionVariants
for the
in-progress deployment.
pendingDeploymentSummary_startTime :: Lens' PendingDeploymentSummary (Maybe UTCTime) Source #
The start time of the deployment.
pendingDeploymentSummary_endpointConfigName :: Lens' PendingDeploymentSummary Text Source #
The name of the endpoint configuration used in the deployment.
PendingProductionVariantSummary
pendingProductionVariantSummary_acceleratorType :: Lens' PendingProductionVariantSummary (Maybe ProductionVariantAcceleratorType) Source #
The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.
pendingProductionVariantSummary_currentInstanceCount :: Lens' PendingProductionVariantSummary (Maybe Natural) Source #
The number of instances associated with the variant.
pendingProductionVariantSummary_currentServerlessConfig :: Lens' PendingProductionVariantSummary (Maybe ProductionVariantServerlessConfig) Source #
The serverless configuration for the endpoint.
pendingProductionVariantSummary_currentWeight :: Lens' PendingProductionVariantSummary (Maybe Double) Source #
The weight associated with the variant.
pendingProductionVariantSummary_deployedImages :: Lens' PendingProductionVariantSummary (Maybe [DeployedImage]) Source #
An array of DeployedImage
objects that specify the Amazon EC2
Container Registry paths of the inference images deployed on instances
of this ProductionVariant
.
pendingProductionVariantSummary_desiredInstanceCount :: Lens' PendingProductionVariantSummary (Maybe Natural) Source #
The number of instances requested in this deployment, as specified in
the endpoint configuration for the endpoint. The value is taken from the
request to the
CreateEndpointConfig
operation.
pendingProductionVariantSummary_desiredServerlessConfig :: Lens' PendingProductionVariantSummary (Maybe ProductionVariantServerlessConfig) Source #
The serverless configuration requested for this deployment, as specified in the endpoint configuration for the endpoint.
pendingProductionVariantSummary_desiredWeight :: Lens' PendingProductionVariantSummary (Maybe Double) Source #
The requested weight for the variant in this deployment, as specified in
the endpoint configuration for the endpoint. The value is taken from the
request to the
CreateEndpointConfig
operation.
pendingProductionVariantSummary_instanceType :: Lens' PendingProductionVariantSummary (Maybe ProductionVariantInstanceType) Source #
The type of instances associated with the variant.
pendingProductionVariantSummary_variantStatus :: Lens' PendingProductionVariantSummary (Maybe [ProductionVariantStatus]) Source #
The endpoint variant status which describes the current deployment stage status or operational status.
pendingProductionVariantSummary_variantName :: Lens' PendingProductionVariantSummary Text Source #
The name of the variant.
Phase
phase_durationInSeconds :: Lens' Phase (Maybe Natural) Source #
Specifies how long traffic phase should be.
phase_initialNumberOfUsers :: Lens' Phase (Maybe Natural) Source #
Specifies how many concurrent users to start with.
phase_spawnRate :: Lens' Phase (Maybe Natural) Source #
Specified how many new users to spawn in a minute.
Pipeline
pipeline_createdBy :: Lens' Pipeline (Maybe UserContext) Source #
Undocumented member.
pipeline_lastModifiedBy :: Lens' Pipeline (Maybe UserContext) Source #
Undocumented member.
pipeline_lastModifiedTime :: Lens' Pipeline (Maybe UTCTime) Source #
The time that the pipeline was last modified.
pipeline_lastRunTime :: Lens' Pipeline (Maybe UTCTime) Source #
The time when the pipeline was last run.
pipeline_parallelismConfiguration :: Lens' Pipeline (Maybe ParallelismConfiguration) Source #
The parallelism configuration applied to the pipeline.
pipeline_pipelineArn :: Lens' Pipeline (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline.
pipeline_pipelineDescription :: Lens' Pipeline (Maybe Text) Source #
The description of the pipeline.
pipeline_pipelineDisplayName :: Lens' Pipeline (Maybe Text) Source #
The display name of the pipeline.
pipeline_pipelineStatus :: Lens' Pipeline (Maybe PipelineStatus) Source #
The status of the pipeline.
pipeline_roleArn :: Lens' Pipeline (Maybe Text) Source #
The Amazon Resource Name (ARN) of the role that created the pipeline.
PipelineDefinitionS3Location
pipelineDefinitionS3Location_versionId :: Lens' PipelineDefinitionS3Location (Maybe Text) Source #
Version Id of the pipeline definition file. If not specified, Amazon SageMaker will retrieve the latest version.
pipelineDefinitionS3Location_bucket :: Lens' PipelineDefinitionS3Location Text Source #
Name of the S3 bucket.
pipelineDefinitionS3Location_objectKey :: Lens' PipelineDefinitionS3Location Text Source #
The object key (or key name) uniquely identifies the object in an S3 bucket.
PipelineExecution
pipelineExecution_createdBy :: Lens' PipelineExecution (Maybe UserContext) Source #
Undocumented member.
pipelineExecution_creationTime :: Lens' PipelineExecution (Maybe UTCTime) Source #
The creation time of the pipeline execution.
pipelineExecution_failureReason :: Lens' PipelineExecution (Maybe Text) Source #
If the execution failed, a message describing why.
pipelineExecution_lastModifiedBy :: Lens' PipelineExecution (Maybe UserContext) Source #
Undocumented member.
pipelineExecution_lastModifiedTime :: Lens' PipelineExecution (Maybe UTCTime) Source #
The time that the pipeline execution was last modified.
pipelineExecution_parallelismConfiguration :: Lens' PipelineExecution (Maybe ParallelismConfiguration) Source #
The parallelism configuration applied to the pipeline execution.
pipelineExecution_pipelineArn :: Lens' PipelineExecution (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline that was executed.
pipelineExecution_pipelineExecutionArn :: Lens' PipelineExecution (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline execution.
pipelineExecution_pipelineExecutionDescription :: Lens' PipelineExecution (Maybe Text) Source #
The description of the pipeline execution.
pipelineExecution_pipelineExecutionDisplayName :: Lens' PipelineExecution (Maybe Text) Source #
The display name of the pipeline execution.
pipelineExecution_pipelineExecutionStatus :: Lens' PipelineExecution (Maybe PipelineExecutionStatus) Source #
The status of the pipeline status.
pipelineExecution_pipelineExperimentConfig :: Lens' PipelineExecution (Maybe PipelineExperimentConfig) Source #
Undocumented member.
pipelineExecution_pipelineParameters :: Lens' PipelineExecution (Maybe [Parameter]) Source #
Contains a list of pipeline parameters. This list can be empty.
PipelineExecutionStep
pipelineExecutionStep_attemptCount :: Lens' PipelineExecutionStep (Maybe Int) Source #
The current attempt of the execution step. For more information, see Retry Policy for SageMaker Pipelines steps.
pipelineExecutionStep_cacheHitResult :: Lens' PipelineExecutionStep (Maybe CacheHitResult) Source #
If this pipeline execution step was cached, details on the cache hit.
pipelineExecutionStep_endTime :: Lens' PipelineExecutionStep (Maybe UTCTime) Source #
The time that the step stopped executing.
pipelineExecutionStep_failureReason :: Lens' PipelineExecutionStep (Maybe Text) Source #
The reason why the step failed execution. This is only returned if the step failed its execution.
pipelineExecutionStep_metadata :: Lens' PipelineExecutionStep (Maybe PipelineExecutionStepMetadata) Source #
Metadata to run the pipeline step.
pipelineExecutionStep_startTime :: Lens' PipelineExecutionStep (Maybe UTCTime) Source #
The time that the step started executing.
pipelineExecutionStep_stepDescription :: Lens' PipelineExecutionStep (Maybe Text) Source #
The description of the step.
pipelineExecutionStep_stepDisplayName :: Lens' PipelineExecutionStep (Maybe Text) Source #
The display name of the step.
pipelineExecutionStep_stepName :: Lens' PipelineExecutionStep (Maybe Text) Source #
The name of the step that is executed.
pipelineExecutionStep_stepStatus :: Lens' PipelineExecutionStep (Maybe StepStatus) Source #
The status of the step execution.
PipelineExecutionStepMetadata
pipelineExecutionStepMetadata_autoMLJob :: Lens' PipelineExecutionStepMetadata (Maybe AutoMLJobStepMetadata) Source #
The Amazon Resource Name (ARN) of the AutoML job that was run by this step.
pipelineExecutionStepMetadata_callback :: Lens' PipelineExecutionStepMetadata (Maybe CallbackStepMetadata) Source #
The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output parameters.
pipelineExecutionStepMetadata_clarifyCheck :: Lens' PipelineExecutionStepMetadata (Maybe ClarifyCheckStepMetadata) Source #
Container for the metadata for a Clarify check step. The configurations and outcomes of the check step execution. This includes:
- The type of the check conducted,
- The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.
- The Amazon S3 URIs of newly calculated baseline constraints and statistics.
- The model package group name provided.
- The Amazon S3 URI of the violation report if violations detected.
- The Amazon Resource Name (ARN) of check processing job initiated by the step execution.
- The boolean flags indicating if the drift check is skipped.
- If step property
BaselineUsedForDriftCheck
is set the same asCalculatedBaseline
.
pipelineExecutionStepMetadata_condition :: Lens' PipelineExecutionStepMetadata (Maybe ConditionStepMetadata) Source #
The outcome of the condition evaluation that was run by this step execution.
pipelineExecutionStepMetadata_emr :: Lens' PipelineExecutionStepMetadata (Maybe EMRStepMetadata) Source #
The configurations and outcomes of an Amazon EMR step execution.
pipelineExecutionStepMetadata_fail :: Lens' PipelineExecutionStepMetadata (Maybe FailStepMetadata) Source #
The configurations and outcomes of a Fail step execution.
pipelineExecutionStepMetadata_lambda :: Lens' PipelineExecutionStepMetadata (Maybe LambdaStepMetadata) Source #
The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output parameters.
pipelineExecutionStepMetadata_model :: Lens' PipelineExecutionStepMetadata (Maybe ModelStepMetadata) Source #
The Amazon Resource Name (ARN) of the model that was created by this step execution.
pipelineExecutionStepMetadata_processingJob :: Lens' PipelineExecutionStepMetadata (Maybe ProcessingJobStepMetadata) Source #
The Amazon Resource Name (ARN) of the processing job that was run by this step execution.
pipelineExecutionStepMetadata_qualityCheck :: Lens' PipelineExecutionStepMetadata (Maybe QualityCheckStepMetadata) Source #
The configurations and outcomes of the check step execution. This includes:
- The type of the check conducted.
- The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.
- The Amazon S3 URIs of newly calculated baseline constraints and statistics.
- The model package group name provided.
- The Amazon S3 URI of the violation report if violations detected.
- The Amazon Resource Name (ARN) of check processing job initiated by the step execution.
- The Boolean flags indicating if the drift check is skipped.
- If step property
BaselineUsedForDriftCheck
is set the same asCalculatedBaseline
.
pipelineExecutionStepMetadata_registerModel :: Lens' PipelineExecutionStepMetadata (Maybe RegisterModelStepMetadata) Source #
The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.
pipelineExecutionStepMetadata_trainingJob :: Lens' PipelineExecutionStepMetadata (Maybe TrainingJobStepMetadata) Source #
The Amazon Resource Name (ARN) of the training job that was run by this step execution.
pipelineExecutionStepMetadata_transformJob :: Lens' PipelineExecutionStepMetadata (Maybe TransformJobStepMetadata) Source #
The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
pipelineExecutionStepMetadata_tuningJob :: Lens' PipelineExecutionStepMetadata (Maybe TuningJobStepMetaData) Source #
The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
PipelineExecutionSummary
pipelineExecutionSummary_pipelineExecutionArn :: Lens' PipelineExecutionSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline execution.
pipelineExecutionSummary_pipelineExecutionDescription :: Lens' PipelineExecutionSummary (Maybe Text) Source #
The description of the pipeline execution.
pipelineExecutionSummary_pipelineExecutionDisplayName :: Lens' PipelineExecutionSummary (Maybe Text) Source #
The display name of the pipeline execution.
pipelineExecutionSummary_pipelineExecutionFailureReason :: Lens' PipelineExecutionSummary (Maybe Text) Source #
A message generated by SageMaker Pipelines describing why the pipeline execution failed.
pipelineExecutionSummary_pipelineExecutionStatus :: Lens' PipelineExecutionSummary (Maybe PipelineExecutionStatus) Source #
The status of the pipeline execution.
pipelineExecutionSummary_startTime :: Lens' PipelineExecutionSummary (Maybe UTCTime) Source #
The start time of the pipeline execution.
PipelineExperimentConfig
pipelineExperimentConfig_experimentName :: Lens' PipelineExperimentConfig (Maybe Text) Source #
The name of the experiment.
pipelineExperimentConfig_trialName :: Lens' PipelineExperimentConfig (Maybe Text) Source #
The name of the trial.
PipelineSummary
pipelineSummary_creationTime :: Lens' PipelineSummary (Maybe UTCTime) Source #
The creation time of the pipeline.
pipelineSummary_lastExecutionTime :: Lens' PipelineSummary (Maybe UTCTime) Source #
The last time that a pipeline execution began.
pipelineSummary_lastModifiedTime :: Lens' PipelineSummary (Maybe UTCTime) Source #
The time that the pipeline was last modified.
pipelineSummary_pipelineArn :: Lens' PipelineSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the pipeline.
pipelineSummary_pipelineDescription :: Lens' PipelineSummary (Maybe Text) Source #
The description of the pipeline.
pipelineSummary_pipelineDisplayName :: Lens' PipelineSummary (Maybe Text) Source #
The display name of the pipeline.
pipelineSummary_pipelineName :: Lens' PipelineSummary (Maybe Text) Source #
The name of the pipeline.
pipelineSummary_roleArn :: Lens' PipelineSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) that the pipeline used to execute.
ProcessingClusterConfig
processingClusterConfig_volumeKmsKeyId :: Lens' ProcessingClusterConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
Certain Nitro-based instances include local storage, dependent on the
instance type. Local storage volumes are encrypted using a hardware
module on the instance. You can't request a VolumeKmsKeyId
when using
an instance type with local storage.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
processingClusterConfig_instanceCount :: Lens' ProcessingClusterConfig Natural Source #
The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
processingClusterConfig_instanceType :: Lens' ProcessingClusterConfig ProcessingInstanceType Source #
The ML compute instance type for the processing job.
processingClusterConfig_volumeSizeInGB :: Lens' ProcessingClusterConfig Natural Source #
The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.
Certain Nitro-based instances include local storage with a fixed total
size, dependent on the instance type. When using these instances for
processing, Amazon SageMaker mounts the local instance storage instead
of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB
greater
than the total size of the local instance storage.
For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.
ProcessingFeatureStoreOutput
processingFeatureStoreOutput_featureGroupName :: Lens' ProcessingFeatureStoreOutput Text Source #
The name of the Amazon SageMaker FeatureGroup to use as the destination for processing job output. Note that your processing script is responsible for putting records into your Feature Store.
ProcessingInput
processingInput_appManaged :: Lens' ProcessingInput (Maybe Bool) Source #
When True
, input operations such as data download are managed natively
by the processing job application. When False
(default), input
operations are managed by Amazon SageMaker.
processingInput_datasetDefinition :: Lens' ProcessingInput (Maybe DatasetDefinition) Source #
Configuration for a Dataset Definition input.
processingInput_s3Input :: Lens' ProcessingInput (Maybe ProcessingS3Input) Source #
Configuration for downloading input data from Amazon S3 into the processing container.
processingInput_inputName :: Lens' ProcessingInput Text Source #
The name for the processing job input.
ProcessingJob
processingJob_appSpecification :: Lens' ProcessingJob (Maybe AppSpecification) Source #
Undocumented member.
processingJob_autoMLJobArn :: Lens' ProcessingJob (Maybe Text) Source #
The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.
processingJob_creationTime :: Lens' ProcessingJob (Maybe UTCTime) Source #
The time the processing job was created.
processingJob_environment :: Lens' ProcessingJob (Maybe (HashMap Text Text)) Source #
Sets the environment variables in the Docker container.
processingJob_exitMessage :: Lens' ProcessingJob (Maybe Text) Source #
A string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
processingJob_experimentConfig :: Lens' ProcessingJob (Maybe ExperimentConfig) Source #
Undocumented member.
processingJob_failureReason :: Lens' ProcessingJob (Maybe Text) Source #
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
processingJob_lastModifiedTime :: Lens' ProcessingJob (Maybe UTCTime) Source #
The time the processing job was last modified.
processingJob_monitoringScheduleArn :: Lens' ProcessingJob (Maybe Text) Source #
The ARN of a monitoring schedule for an endpoint associated with this processing job.
processingJob_networkConfig :: Lens' ProcessingJob (Maybe NetworkConfig) Source #
Undocumented member.
processingJob_processingEndTime :: Lens' ProcessingJob (Maybe UTCTime) Source #
The time that the processing job ended.
processingJob_processingInputs :: Lens' ProcessingJob (Maybe [ProcessingInput]) Source #
List of input configurations for the processing job.
processingJob_processingJobArn :: Lens' ProcessingJob (Maybe Text) Source #
The ARN of the processing job.
processingJob_processingJobName :: Lens' ProcessingJob (Maybe Text) Source #
The name of the processing job.
processingJob_processingJobStatus :: Lens' ProcessingJob (Maybe ProcessingJobStatus) Source #
The status of the processing job.
processingJob_processingOutputConfig :: Lens' ProcessingJob (Maybe ProcessingOutputConfig) Source #
Undocumented member.
processingJob_processingResources :: Lens' ProcessingJob (Maybe ProcessingResources) Source #
Undocumented member.
processingJob_processingStartTime :: Lens' ProcessingJob (Maybe UTCTime) Source #
The time that the processing job started.
processingJob_roleArn :: Lens' ProcessingJob (Maybe Text) Source #
The ARN of the role used to create the processing job.
processingJob_stoppingCondition :: Lens' ProcessingJob (Maybe ProcessingStoppingCondition) Source #
Undocumented member.
processingJob_tags :: Lens' ProcessingJob (Maybe [Tag]) Source #
An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
processingJob_trainingJobArn :: Lens' ProcessingJob (Maybe Text) Source #
The ARN of the training job associated with this processing job.
ProcessingJobStepMetadata
processingJobStepMetadata_arn :: Lens' ProcessingJobStepMetadata (Maybe Text) Source #
The Amazon Resource Name (ARN) of the processing job.
ProcessingJobSummary
processingJobSummary_exitMessage :: Lens' ProcessingJobSummary (Maybe Text) Source #
An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
processingJobSummary_failureReason :: Lens' ProcessingJobSummary (Maybe Text) Source #
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
processingJobSummary_lastModifiedTime :: Lens' ProcessingJobSummary (Maybe UTCTime) Source #
A timestamp that indicates the last time the processing job was modified.
processingJobSummary_processingEndTime :: Lens' ProcessingJobSummary (Maybe UTCTime) Source #
The time at which the processing job completed.
processingJobSummary_processingJobName :: Lens' ProcessingJobSummary Text Source #
The name of the processing job.
processingJobSummary_processingJobArn :: Lens' ProcessingJobSummary Text Source #
The Amazon Resource Name (ARN) of the processing job..
processingJobSummary_creationTime :: Lens' ProcessingJobSummary UTCTime Source #
The time at which the processing job was created.
processingJobSummary_processingJobStatus :: Lens' ProcessingJobSummary ProcessingJobStatus Source #
The status of the processing job.
ProcessingOutput
processingOutput_appManaged :: Lens' ProcessingOutput (Maybe Bool) Source #
When True
, output operations such as data upload are managed natively
by the processing job application. When False
(default), output
operations are managed by Amazon SageMaker.
processingOutput_featureStoreOutput :: Lens' ProcessingOutput (Maybe ProcessingFeatureStoreOutput) Source #
Configuration for processing job outputs in Amazon SageMaker Feature
Store. This processing output type is only supported when AppManaged
is specified.
processingOutput_s3Output :: Lens' ProcessingOutput (Maybe ProcessingS3Output) Source #
Configuration for processing job outputs in Amazon S3.
processingOutput_outputName :: Lens' ProcessingOutput Text Source #
The name for the processing job output.
ProcessingOutputConfig
processingOutputConfig_kmsKeyId :: Lens' ProcessingOutputConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS)
key that Amazon SageMaker uses to encrypt the processing job output.
KmsKeyId
can be an ID of a KMS key, ARN of a KMS key, alias of a KMS
key, or alias of a KMS key. The KmsKeyId
is applied to all outputs.
processingOutputConfig_outputs :: Lens' ProcessingOutputConfig [ProcessingOutput] Source #
An array of outputs configuring the data to upload from the processing container.
ProcessingResources
processingResources_clusterConfig :: Lens' ProcessingResources ProcessingClusterConfig Source #
The configuration for the resources in a cluster used to run the processing job.
ProcessingS3Input
processingS3Input_localPath :: Lens' ProcessingS3Input (Maybe Text) Source #
The local path in your container where you want Amazon SageMaker to
write input data to. LocalPath
is an absolute path to the input data
and must begin with /opt/ml/processing/
. LocalPath
is a required
parameter when AppManaged
is False
(default).
processingS3Input_s3CompressionType :: Lens' ProcessingS3Input (Maybe ProcessingS3CompressionType) Source #
Whether to GZIP-decompress the data in Amazon S3 as it is streamed into
the processing container. Gzip
can only be used when Pipe
mode is
specified as the S3InputMode
. In Pipe
mode, Amazon SageMaker streams
input data from the source directly to your container without using the
EBS volume.
processingS3Input_s3DataDistributionType :: Lens' ProcessingS3Input (Maybe ProcessingS3DataDistributionType) Source #
Whether to distribute the data from Amazon S3 to all processing
instances with FullyReplicated
, or whether the data from Amazon S3 is
shared by Amazon S3 key, downloading one shard of data to each
processing instance.
processingS3Input_s3InputMode :: Lens' ProcessingS3Input (Maybe ProcessingS3InputMode) Source #
Whether to use File
or Pipe
input mode. In File mode, Amazon
SageMaker copies the data from the input source onto the local ML
storage volume before starting your processing container. This is the
most commonly used input mode. In Pipe
mode, Amazon SageMaker streams
input data from the source directly to your processing container into
named pipes without using the ML storage volume.
processingS3Input_s3Uri :: Lens' ProcessingS3Input Text Source #
The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.
processingS3Input_s3DataType :: Lens' ProcessingS3Input ProcessingS3DataType Source #
Whether you use an S3Prefix
or a ManifestFile
for the data type. If
you choose S3Prefix
, S3Uri
identifies a key name prefix. Amazon
SageMaker uses all objects with the specified key name prefix for the
processing job. If you choose ManifestFile
, S3Uri
identifies an
object that is a manifest file containing a list of object keys that you
want Amazon SageMaker to use for the processing job.
ProcessingS3Output
processingS3Output_s3Uri :: Lens' ProcessingS3Output Text Source #
A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.
processingS3Output_localPath :: Lens' ProcessingS3Output Text Source #
The local path of a directory where you want Amazon SageMaker to upload
its contents to Amazon S3. LocalPath
is an absolute path to a
directory containing output files. This directory will be created by the
platform and exist when your container's entrypoint is invoked.
processingS3Output_s3UploadMode :: Lens' ProcessingS3Output ProcessingS3UploadMode Source #
Whether to upload the results of the processing job continuously or after the job completes.
ProcessingStoppingCondition
processingStoppingCondition_maxRuntimeInSeconds :: Lens' ProcessingStoppingCondition Natural Source #
Specifies the maximum runtime in seconds.
ProductionVariant
productionVariant_acceleratorType :: Lens' ProductionVariant (Maybe ProductionVariantAcceleratorType) Source #
The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.
productionVariant_containerStartupHealthCheckTimeoutInSeconds :: Lens' ProductionVariant (Maybe Natural) Source #
The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.
productionVariant_coreDumpConfig :: Lens' ProductionVariant (Maybe ProductionVariantCoreDumpConfig) Source #
Specifies configuration for a core dump from the model container when the process crashes.
productionVariant_initialInstanceCount :: Lens' ProductionVariant (Maybe Natural) Source #
Number of instances to launch initially.
productionVariant_initialVariantWeight :: Lens' ProductionVariant (Maybe Double) Source #
Determines initial traffic distribution among all of the models that you
specify in the endpoint configuration. The traffic to a production
variant is determined by the ratio of the VariantWeight
to the sum of
all VariantWeight
values across all ProductionVariants. If
unspecified, it defaults to 1.0.
productionVariant_instanceType :: Lens' ProductionVariant (Maybe ProductionVariantInstanceType) Source #
The ML compute instance type.
productionVariant_modelDataDownloadTimeoutInSeconds :: Lens' ProductionVariant (Maybe Natural) Source #
The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
productionVariant_serverlessConfig :: Lens' ProductionVariant (Maybe ProductionVariantServerlessConfig) Source #
The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.
productionVariant_volumeSizeInGB :: Lens' ProductionVariant (Maybe Natural) Source #
The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currenly only Amazon EBS gp2 storage volumes are supported.
productionVariant_variantName :: Lens' ProductionVariant Text Source #
The name of the production variant.
productionVariant_modelName :: Lens' ProductionVariant Text Source #
The name of the model that you want to host. This is the name that you specified when creating the model.
ProductionVariantCoreDumpConfig
productionVariantCoreDumpConfig_kmsKeyId :: Lens' ProductionVariantCoreDumpConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS)
key that SageMaker uses to encrypt the core dump data at rest using
Amazon S3 server-side encryption. The KmsKeyId
can be any of the
following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the SageMaker
execution role must include permissions to call kms:Encrypt
. If you
don't provide a KMS key ID, SageMaker uses the default KMS key for
Amazon S3 for your role's account. SageMaker uses server-side
encryption with KMS-managed keys for OutputDataConfig
. If you use a
bucket policy with an s3:PutObject
permission that only allows objects
with server-side encryption, set the condition key of
s3:x-amz-server-side-encryption
to "aws:kms"
. For more
information, see
KMS-Managed Encryption Keys
in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you
specify in your CreateEndpoint
and UpdateEndpoint
requests. For more
information, see
Using Key Policies in Amazon Web Services KMS
in the Amazon Web Services Key Management Service Developer Guide.
productionVariantCoreDumpConfig_destinationS3Uri :: Lens' ProductionVariantCoreDumpConfig Text Source #
The Amazon S3 bucket to send the core dump to.
ProductionVariantServerlessConfig
productionVariantServerlessConfig_memorySizeInMB :: Lens' ProductionVariantServerlessConfig Natural Source #
The memory size of your serverless endpoint. Valid values are in 1 GB increments: 1024 MB, 2048 MB, 3072 MB, 4096 MB, 5120 MB, or 6144 MB.
productionVariantServerlessConfig_maxConcurrency :: Lens' ProductionVariantServerlessConfig Natural Source #
The maximum number of concurrent invocations your serverless endpoint can process.
ProductionVariantStatus
productionVariantStatus_startTime :: Lens' ProductionVariantStatus (Maybe UTCTime) Source #
The start time of the current status change.
productionVariantStatus_statusMessage :: Lens' ProductionVariantStatus (Maybe Text) Source #
A message that describes the status of the production variant.
productionVariantStatus_status :: Lens' ProductionVariantStatus VariantStatus Source #
The endpoint variant status which describes the current deployment stage status or operational status.
Creating
: Creating inference resources for the production variant.Deleting
: Terminating inference resources for the production variant.Updating
: Updating capacity for the production variant.ActivatingTraffic
: Turning on traffic for the production variant.Baking
: Waiting period to monitor the CloudWatch alarms in the automatic rollback configuration.
ProductionVariantSummary
productionVariantSummary_currentInstanceCount :: Lens' ProductionVariantSummary (Maybe Natural) Source #
The number of instances associated with the variant.
productionVariantSummary_currentServerlessConfig :: Lens' ProductionVariantSummary (Maybe ProductionVariantServerlessConfig) Source #
The serverless configuration for the endpoint.
productionVariantSummary_currentWeight :: Lens' ProductionVariantSummary (Maybe Double) Source #
The weight associated with the variant.
productionVariantSummary_deployedImages :: Lens' ProductionVariantSummary (Maybe [DeployedImage]) Source #
An array of DeployedImage
objects that specify the Amazon EC2
Container Registry paths of the inference images deployed on instances
of this ProductionVariant
.
productionVariantSummary_desiredInstanceCount :: Lens' ProductionVariantSummary (Maybe Natural) Source #
The number of instances requested in the
UpdateEndpointWeightsAndCapacities
request.
productionVariantSummary_desiredServerlessConfig :: Lens' ProductionVariantSummary (Maybe ProductionVariantServerlessConfig) Source #
The serverless configuration requested for the endpoint update.
productionVariantSummary_desiredWeight :: Lens' ProductionVariantSummary (Maybe Double) Source #
The requested weight, as specified in the
UpdateEndpointWeightsAndCapacities
request.
productionVariantSummary_variantStatus :: Lens' ProductionVariantSummary (Maybe [ProductionVariantStatus]) Source #
The endpoint variant status which describes the current deployment stage status or operational status.
productionVariantSummary_variantName :: Lens' ProductionVariantSummary Text Source #
The name of the variant.
ProfilerConfig
profilerConfig_disableProfiler :: Lens' ProfilerConfig (Maybe Bool) Source #
Configuration to turn off Amazon SageMaker Debugger's system monitoring
and profiling functionality. To turn it off, set to True
.
profilerConfig_profilingIntervalInMilliseconds :: Lens' ProfilerConfig (Maybe Integer) Source #
A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.
profilerConfig_profilingParameters :: Lens' ProfilerConfig (Maybe (HashMap Text Text)) Source #
Configuration information for capturing framework metrics. Available key
strings for different profiling options are DetailedProfilingConfig
,
PythonProfilingConfig
, and DataLoaderProfilingConfig
. The following
codes are configuration structures for the ProfilingParameters
parameter. To learn more about how to configure the
ProfilingParameters
parameter, see
Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
profilerConfig_s3OutputPath :: Lens' ProfilerConfig (Maybe Text) Source #
Path to Amazon S3 storage location for system and framework metrics.
ProfilerConfigForUpdate
profilerConfigForUpdate_disableProfiler :: Lens' ProfilerConfigForUpdate (Maybe Bool) Source #
To turn off Amazon SageMaker Debugger monitoring and profiling while a
training job is in progress, set to True
.
profilerConfigForUpdate_profilingIntervalInMilliseconds :: Lens' ProfilerConfigForUpdate (Maybe Integer) Source #
A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.
profilerConfigForUpdate_profilingParameters :: Lens' ProfilerConfigForUpdate (Maybe (HashMap Text Text)) Source #
Configuration information for capturing framework metrics. Available key
strings for different profiling options are DetailedProfilingConfig
,
PythonProfilingConfig
, and DataLoaderProfilingConfig
. The following
codes are configuration structures for the ProfilingParameters
parameter. To learn more about how to configure the
ProfilingParameters
parameter, see
Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
profilerConfigForUpdate_s3OutputPath :: Lens' ProfilerConfigForUpdate (Maybe Text) Source #
Path to Amazon S3 storage location for system and framework metrics.
ProfilerRuleConfiguration
profilerRuleConfiguration_instanceType :: Lens' ProfilerRuleConfiguration (Maybe ProcessingInstanceType) Source #
The instance type to deploy a custom rule for profiling a training job.
profilerRuleConfiguration_localPath :: Lens' ProfilerRuleConfiguration (Maybe Text) Source #
Path to local storage location for output of rules. Defaults to
/opt/ml/processing/output/rule/
.
profilerRuleConfiguration_ruleParameters :: Lens' ProfilerRuleConfiguration (Maybe (HashMap Text Text)) Source #
Runtime configuration for rule container.
profilerRuleConfiguration_s3OutputPath :: Lens' ProfilerRuleConfiguration (Maybe Text) Source #
Path to Amazon S3 storage location for rules.
profilerRuleConfiguration_volumeSizeInGB :: Lens' ProfilerRuleConfiguration (Maybe Natural) Source #
The size, in GB, of the ML storage volume attached to the processing instance.
profilerRuleConfiguration_ruleConfigurationName :: Lens' ProfilerRuleConfiguration Text Source #
The name of the rule configuration. It must be unique relative to other rule configuration names.
profilerRuleConfiguration_ruleEvaluatorImage :: Lens' ProfilerRuleConfiguration Text Source #
The Amazon Elastic Container Registry Image for the managed rule evaluation.
ProfilerRuleEvaluationStatus
profilerRuleEvaluationStatus_lastModifiedTime :: Lens' ProfilerRuleEvaluationStatus (Maybe UTCTime) Source #
Timestamp when the rule evaluation status was last modified.
profilerRuleEvaluationStatus_ruleConfigurationName :: Lens' ProfilerRuleEvaluationStatus (Maybe Text) Source #
The name of the rule configuration.
profilerRuleEvaluationStatus_ruleEvaluationJobArn :: Lens' ProfilerRuleEvaluationStatus (Maybe Text) Source #
The Amazon Resource Name (ARN) of the rule evaluation job.
profilerRuleEvaluationStatus_ruleEvaluationStatus :: Lens' ProfilerRuleEvaluationStatus (Maybe RuleEvaluationStatus) Source #
Status of the rule evaluation.
profilerRuleEvaluationStatus_statusDetails :: Lens' ProfilerRuleEvaluationStatus (Maybe Text) Source #
Details from the rule evaluation.
Project
project_createdBy :: Lens' Project (Maybe UserContext) Source #
Who created the project.
project_creationTime :: Lens' Project (Maybe UTCTime) Source #
A timestamp specifying when the project was created.
project_lastModifiedBy :: Lens' Project (Maybe UserContext) Source #
Undocumented member.
project_lastModifiedTime :: Lens' Project (Maybe UTCTime) Source #
A timestamp container for when the project was last modified.
project_projectArn :: Lens' Project (Maybe Text) Source #
The Amazon Resource Name (ARN) of the project.
project_projectStatus :: Lens' Project (Maybe ProjectStatus) Source #
The status of the project.
project_serviceCatalogProvisionedProductDetails :: Lens' Project (Maybe ServiceCatalogProvisionedProductDetails) Source #
Undocumented member.
project_serviceCatalogProvisioningDetails :: Lens' Project (Maybe ServiceCatalogProvisioningDetails) Source #
Undocumented member.
project_tags :: Lens' Project (Maybe [Tag]) Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
ProjectSummary
projectSummary_projectDescription :: Lens' ProjectSummary (Maybe Text) Source #
The description of the project.
projectSummary_projectName :: Lens' ProjectSummary Text Source #
The name of the project.
projectSummary_projectArn :: Lens' ProjectSummary Text Source #
The Amazon Resource Name (ARN) of the project.
projectSummary_projectId :: Lens' ProjectSummary Text Source #
The ID of the project.
projectSummary_creationTime :: Lens' ProjectSummary UTCTime Source #
The time that the project was created.
projectSummary_projectStatus :: Lens' ProjectSummary ProjectStatus Source #
The status of the project.
PropertyNameQuery
propertyNameQuery_propertyNameHint :: Lens' PropertyNameQuery Text Source #
Text that begins a property's name.
PropertyNameSuggestion
propertyNameSuggestion_propertyName :: Lens' PropertyNameSuggestion (Maybe Text) Source #
A suggested property name based on what you entered in the search textbox in the Amazon SageMaker console.
ProvisioningParameter
provisioningParameter_key :: Lens' ProvisioningParameter (Maybe Text) Source #
The key that identifies a provisioning parameter.
provisioningParameter_value :: Lens' ProvisioningParameter (Maybe Text) Source #
The value of the provisioning parameter.
PublicWorkforceTaskPrice
publicWorkforceTaskPrice_amountInUsd :: Lens' PublicWorkforceTaskPrice (Maybe USD) Source #
Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.
QualityCheckStepMetadata
qualityCheckStepMetadata_baselineUsedForDriftCheckConstraints :: Lens' QualityCheckStepMetadata (Maybe Text) Source #
The Amazon S3 URI of the baseline constraints file used for the drift check.
qualityCheckStepMetadata_baselineUsedForDriftCheckStatistics :: Lens' QualityCheckStepMetadata (Maybe Text) Source #
The Amazon S3 URI of the baseline statistics file used for the drift check.
qualityCheckStepMetadata_calculatedBaselineConstraints :: Lens' QualityCheckStepMetadata (Maybe Text) Source #
The Amazon S3 URI of the newly calculated baseline constraints file.
qualityCheckStepMetadata_calculatedBaselineStatistics :: Lens' QualityCheckStepMetadata (Maybe Text) Source #
The Amazon S3 URI of the newly calculated baseline statistics file.
qualityCheckStepMetadata_checkJobArn :: Lens' QualityCheckStepMetadata (Maybe Text) Source #
The Amazon Resource Name (ARN) of the Quality check processing job that was run by this step execution.
qualityCheckStepMetadata_checkType :: Lens' QualityCheckStepMetadata (Maybe Text) Source #
The type of the Quality check step.
qualityCheckStepMetadata_modelPackageGroupName :: Lens' QualityCheckStepMetadata (Maybe Text) Source #
The model package group name.
qualityCheckStepMetadata_registerNewBaseline :: Lens' QualityCheckStepMetadata (Maybe Bool) Source #
This flag indicates if a newly calculated baseline can be accessed
through step properties BaselineUsedForDriftCheckConstraints
and
BaselineUsedForDriftCheckStatistics
. If it is set to False
, the
previous baseline of the configured check type must also be available.
These can be accessed through the BaselineUsedForDriftCheckConstraints
and BaselineUsedForDriftCheckStatistics
properties.
qualityCheckStepMetadata_skipCheck :: Lens' QualityCheckStepMetadata (Maybe Bool) Source #
This flag indicates if the drift check against the previous baseline
will be skipped or not. If it is set to False
, the previous baseline
of the configured check type must be available.
qualityCheckStepMetadata_violationReport :: Lens' QualityCheckStepMetadata (Maybe Text) Source #
The Amazon S3 URI of violation report if violations are detected.
QueryFilters
queryFilters_createdAfter :: Lens' QueryFilters (Maybe UTCTime) Source #
Filter the lineage entities connected to the StartArn
(s) after the
create date.
queryFilters_createdBefore :: Lens' QueryFilters (Maybe UTCTime) Source #
Filter the lineage entities connected to the StartArn
(s) by created
date.
queryFilters_lineageTypes :: Lens' QueryFilters (Maybe [LineageType]) Source #
Filter the lineage entities connected to the StartArn
(s) by the type
of the lineage entity.
queryFilters_modifiedAfter :: Lens' QueryFilters (Maybe UTCTime) Source #
Filter the lineage entities connected to the StartArn
(s) after the
last modified date.
queryFilters_modifiedBefore :: Lens' QueryFilters (Maybe UTCTime) Source #
Filter the lineage entities connected to the StartArn
(s) before the
last modified date.
queryFilters_properties :: Lens' QueryFilters (Maybe (HashMap Text Text)) Source #
Filter the lineage entities connected to the StartArn
(s) by a set if
property key value pairs. If multiple pairs are provided, an entity is
included in the results if it matches any of the provided pairs.
queryFilters_types :: Lens' QueryFilters (Maybe [Text]) Source #
Filter the lineage entities connected to the StartArn
by type. For
example: DataSet
, Model
, Endpoint
, or ModelDeployment
.
RSessionAppSettings
rSessionAppSettings_customImages :: Lens' RSessionAppSettings (Maybe [CustomImage]) Source #
A list of custom SageMaker images that are configured to run as a RSession app.
rSessionAppSettings_defaultResourceSpec :: Lens' RSessionAppSettings (Maybe ResourceSpec) Source #
Undocumented member.
RStudioServerProAppSettings
rStudioServerProAppSettings_accessStatus :: Lens' RStudioServerProAppSettings (Maybe RStudioServerProAccessStatus) Source #
Indicates whether the current user has access to the RStudioServerPro
app.
rStudioServerProAppSettings_userGroup :: Lens' RStudioServerProAppSettings (Maybe RStudioServerProUserGroup) Source #
The level of permissions that the user has within the RStudioServerPro
app. This value defaults to `User`. The `Admin` value allows the
user access to the RStudio Administrative Dashboard.
RStudioServerProDomainSettings
rStudioServerProDomainSettings_defaultResourceSpec :: Lens' RStudioServerProDomainSettings (Maybe ResourceSpec) Source #
Undocumented member.
rStudioServerProDomainSettings_rStudioConnectUrl :: Lens' RStudioServerProDomainSettings (Maybe Text) Source #
A URL pointing to an RStudio Connect server.
rStudioServerProDomainSettings_rStudioPackageManagerUrl :: Lens' RStudioServerProDomainSettings (Maybe Text) Source #
A URL pointing to an RStudio Package Manager server.
rStudioServerProDomainSettings_domainExecutionRoleArn :: Lens' RStudioServerProDomainSettings Text Source #
The ARN of the execution role for the RStudioServerPro
Domain-level
app.
RStudioServerProDomainSettingsForUpdate
rStudioServerProDomainSettingsForUpdate_defaultResourceSpec :: Lens' RStudioServerProDomainSettingsForUpdate (Maybe ResourceSpec) Source #
Undocumented member.
rStudioServerProDomainSettingsForUpdate_rStudioConnectUrl :: Lens' RStudioServerProDomainSettingsForUpdate (Maybe Text) Source #
A URL pointing to an RStudio Connect server.
rStudioServerProDomainSettingsForUpdate_rStudioPackageManagerUrl :: Lens' RStudioServerProDomainSettingsForUpdate (Maybe Text) Source #
A URL pointing to an RStudio Package Manager server.
rStudioServerProDomainSettingsForUpdate_domainExecutionRoleArn :: Lens' RStudioServerProDomainSettingsForUpdate Text Source #
The execution role for the RStudioServerPro
Domain-level app.
RealTimeInferenceConfig
realTimeInferenceConfig_instanceType :: Lens' RealTimeInferenceConfig InstanceType Source #
The instance type the model is deployed to.
realTimeInferenceConfig_instanceCount :: Lens' RealTimeInferenceConfig Natural Source #
The number of instances of the type specified by InstanceType
.
RecommendationJobCompiledOutputConfig
recommendationJobCompiledOutputConfig_s3OutputUri :: Lens' RecommendationJobCompiledOutputConfig (Maybe Text) Source #
Identifies the Amazon S3 bucket where you want SageMaker to store the compiled model artifacts.
RecommendationJobContainerConfig
recommendationJobContainerConfig_domain :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #
The machine learning domain of the model and its components.
Valid Values:
COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING
recommendationJobContainerConfig_framework :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #
The machine learning framework of the container image.
Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN
recommendationJobContainerConfig_frameworkVersion :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #
The framework version of the container image.
recommendationJobContainerConfig_nearestModelName :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #
The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.
Valid Values:
efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet
recommendationJobContainerConfig_payloadConfig :: Lens' RecommendationJobContainerConfig (Maybe RecommendationJobPayloadConfig) Source #
Specifies the SamplePayloadUrl
and all other sample payload-related
fields.
recommendationJobContainerConfig_supportedInstanceTypes :: Lens' RecommendationJobContainerConfig (Maybe [Text]) Source #
A list of the instance types that are used to generate inferences in real-time.
recommendationJobContainerConfig_task :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #
The machine learning task that the model accomplishes.
Valid Values:
IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER
RecommendationJobInferenceBenchmark
recommendationJobInferenceBenchmark_endpointConfiguration :: Lens' RecommendationJobInferenceBenchmark (Maybe EndpointOutputConfiguration) Source #
Undocumented member.
recommendationJobInferenceBenchmark_failureReason :: Lens' RecommendationJobInferenceBenchmark (Maybe Text) Source #
The reason why a benchmark failed.
recommendationJobInferenceBenchmark_metrics :: Lens' RecommendationJobInferenceBenchmark (Maybe RecommendationMetrics) Source #
Undocumented member.
recommendationJobInferenceBenchmark_modelConfiguration :: Lens' RecommendationJobInferenceBenchmark ModelConfiguration Source #
Undocumented member.
RecommendationJobInputConfig
recommendationJobInputConfig_containerConfig :: Lens' RecommendationJobInputConfig (Maybe RecommendationJobContainerConfig) Source #
Specifies mandatory fields for running an Inference Recommender job. The
fields specified in ContainerConfig
override the corresponding fields
in the model package.
recommendationJobInputConfig_endpointConfigurations :: Lens' RecommendationJobInputConfig (Maybe (NonEmpty EndpointInputConfiguration)) Source #
Specifies the endpoint configuration to use for a job.
recommendationJobInputConfig_endpoints :: Lens' RecommendationJobInputConfig (Maybe [EndpointInfo]) Source #
Existing customer endpoints on which to run an Inference Recommender job.
recommendationJobInputConfig_jobDurationInSeconds :: Lens' RecommendationJobInputConfig (Maybe Natural) Source #
Specifies the maximum duration of the job, in seconds.>
recommendationJobInputConfig_resourceLimit :: Lens' RecommendationJobInputConfig (Maybe RecommendationJobResourceLimit) Source #
Defines the resource limit of the job.
recommendationJobInputConfig_trafficPattern :: Lens' RecommendationJobInputConfig (Maybe TrafficPattern) Source #
Specifies the traffic pattern of the job.
recommendationJobInputConfig_volumeKmsKeyId :: Lens' RecommendationJobInputConfig (Maybe Text) Source #
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.
The SageMaker execution role must have kms:CreateGrant
permission in
order to encrypt data on the storage volume of the endpoints created for
inference recommendation. The inference recommendation job will fail
asynchronously during endpoint configuration creation if the role passed
does not have kms:CreateGrant
permission.
The KmsKeyId
can be any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"
For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.
recommendationJobInputConfig_vpcConfig :: Lens' RecommendationJobInputConfig (Maybe RecommendationJobVpcConfig) Source #
Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
recommendationJobInputConfig_modelPackageVersionArn :: Lens' RecommendationJobInputConfig Text Source #
The Amazon Resource Name (ARN) of a versioned model package.
RecommendationJobOutputConfig
recommendationJobOutputConfig_compiledOutputConfig :: Lens' RecommendationJobOutputConfig (Maybe RecommendationJobCompiledOutputConfig) Source #
Provides information about the output configuration for the compiled model.
recommendationJobOutputConfig_kmsKeyId :: Lens' RecommendationJobOutputConfig (Maybe Text) Source #
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management
Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt your output artifacts with Amazon S3 server-side encryption. The
SageMaker execution role must have kms:GenerateDataKey
permission.
The KmsKeyId
can be any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"
For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.
RecommendationJobPayloadConfig
recommendationJobPayloadConfig_samplePayloadUrl :: Lens' RecommendationJobPayloadConfig (Maybe Text) Source #
The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
recommendationJobPayloadConfig_supportedContentTypes :: Lens' RecommendationJobPayloadConfig (Maybe [Text]) Source #
The supported MIME types for the input data.
RecommendationJobResourceLimit
recommendationJobResourceLimit_maxNumberOfTests :: Lens' RecommendationJobResourceLimit (Maybe Natural) Source #
Defines the maximum number of load tests.
recommendationJobResourceLimit_maxParallelOfTests :: Lens' RecommendationJobResourceLimit (Maybe Natural) Source #
Defines the maximum number of parallel load tests.
RecommendationJobStoppingConditions
recommendationJobStoppingConditions_maxInvocations :: Lens' RecommendationJobStoppingConditions (Maybe Int) Source #
The maximum number of requests per minute expected for the endpoint.
recommendationJobStoppingConditions_modelLatencyThresholds :: Lens' RecommendationJobStoppingConditions (Maybe (NonEmpty ModelLatencyThreshold)) Source #
The interval of time taken by a model to respond as viewed from SageMaker. The interval includes the local communication time taken to send the request and to fetch the response from the container of a model and the time taken to complete the inference in the container.
RecommendationJobVpcConfig
recommendationJobVpcConfig_securityGroupIds :: Lens' RecommendationJobVpcConfig (NonEmpty Text) Source #
The VPC security group IDs. IDs have the form of sg-xxxxxxxx
. Specify
the security groups for the VPC that is specified in the Subnets
field.
recommendationJobVpcConfig_subnets :: Lens' RecommendationJobVpcConfig (NonEmpty Text) Source #
The ID of the subnets in the VPC to which you want to connect your model.
RecommendationMetrics
recommendationMetrics_costPerHour :: Lens' RecommendationMetrics Double Source #
Defines the cost per hour for the instance.
recommendationMetrics_costPerInference :: Lens' RecommendationMetrics Double Source #
Defines the cost per inference for the instance .
recommendationMetrics_maxInvocations :: Lens' RecommendationMetrics Int Source #
The expected maximum number of requests per minute for the instance.
recommendationMetrics_modelLatency :: Lens' RecommendationMetrics Int Source #
The expected model latency at maximum invocation per minute for the instance.
RedshiftDatasetDefinition
redshiftDatasetDefinition_kmsKeyId :: Lens' RedshiftDatasetDefinition (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data from a Redshift execution.
redshiftDatasetDefinition_outputCompression :: Lens' RedshiftDatasetDefinition (Maybe RedshiftResultCompressionType) Source #
Undocumented member.
redshiftDatasetDefinition_clusterId :: Lens' RedshiftDatasetDefinition Text Source #
Undocumented member.
redshiftDatasetDefinition_database :: Lens' RedshiftDatasetDefinition Text Source #
Undocumented member.
redshiftDatasetDefinition_dbUser :: Lens' RedshiftDatasetDefinition Text Source #
Undocumented member.
redshiftDatasetDefinition_queryString :: Lens' RedshiftDatasetDefinition Text Source #
Undocumented member.
redshiftDatasetDefinition_clusterRoleArn :: Lens' RedshiftDatasetDefinition Text Source #
The IAM role attached to your Redshift cluster that Amazon SageMaker uses to generate datasets.
redshiftDatasetDefinition_outputS3Uri :: Lens' RedshiftDatasetDefinition Text Source #
The location in Amazon S3 where the Redshift query results are stored.
redshiftDatasetDefinition_outputFormat :: Lens' RedshiftDatasetDefinition RedshiftResultFormat Source #
Undocumented member.
RegisterModelStepMetadata
registerModelStepMetadata_arn :: Lens' RegisterModelStepMetadata (Maybe Text) Source #
The Amazon Resource Name (ARN) of the model package.
RenderableTask
renderableTask_input :: Lens' RenderableTask Text Source #
A JSON object that contains values for the variables defined in the
template. It is made available to the template under the substitution
variable task.input
. For example, if you define a variable
task.input.text
in your template, you can supply the variable in the
JSON object as "text": "sample text"
.
RenderingError
renderingError_code :: Lens' RenderingError Text Source #
A unique identifier for a specific class of errors.
renderingError_message :: Lens' RenderingError Text Source #
A human-readable message describing the error.
RepositoryAuthConfig
repositoryAuthConfig_repositoryCredentialsProviderArn :: Lens' RepositoryAuthConfig Text Source #
The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function that provides credentials to authenticate to the private Docker registry where your model image is hosted. For information about how to create an Amazon Web Services Lambda function, see Create a Lambda function with the console in the Amazon Web Services Lambda Developer Guide.
ResolvedAttributes
resolvedAttributes_autoMLJobObjective :: Lens' ResolvedAttributes (Maybe AutoMLJobObjective) Source #
Undocumented member.
resolvedAttributes_completionCriteria :: Lens' ResolvedAttributes (Maybe AutoMLJobCompletionCriteria) Source #
Undocumented member.
resolvedAttributes_problemType :: Lens' ResolvedAttributes (Maybe ProblemType) Source #
The problem type.
ResourceConfig
resourceConfig_instanceCount :: Lens' ResourceConfig (Maybe Natural) Source #
The number of ML compute instances to use. For distributed training, provide a value greater than 1.
resourceConfig_instanceGroups :: Lens' ResourceConfig (Maybe [InstanceGroup]) Source #
The configuration of a heterogeneous cluster in JSON format.
resourceConfig_instanceType :: Lens' ResourceConfig (Maybe TrainingInstanceType) Source #
The ML compute instance type.
SageMaker Training on Amazon Elastic Compute Cloud (EC2) P4de instances is in preview release starting December 9th, 2022.
Amazon EC2 P4de instances
(currently in preview) are powered by 8 NVIDIA A100 GPUs with 80GB
high-performance HBM2e GPU memory, which accelerate the speed of
training ML models that need to be trained on large datasets of
high-resolution data. In this preview release, Amazon SageMaker supports
ML training jobs on P4de instances (ml.p4de.24xlarge
) to reduce model
training time. The ml.p4de.24xlarge
instances are available in the
following Amazon Web Services Regions.
- US East (N. Virginia) (us-east-1)
- US West (Oregon) (us-west-2)
To request quota limit increase and start using P4de instances, contact the SageMaker Training service team through your account team.
resourceConfig_keepAlivePeriodInSeconds :: Lens' ResourceConfig (Maybe Natural) Source #
The duration of time in seconds to retain configured resources in a warm pool for subsequent training jobs.
resourceConfig_volumeKmsKeyId :: Lens' ResourceConfig (Maybe Text) Source #
The Amazon Web Services KMS key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.
Certain Nitro-based instances include local storage, dependent on the
instance type. Local storage volumes are encrypted using a hardware
module on the instance. You can't request a VolumeKmsKeyId
when using
an instance type with local storage.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
The VolumeKmsKeyId
can be in any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
resourceConfig_volumeSizeInGB :: Lens' ResourceConfig Natural Source #
The size of the ML storage volume that you want to provision.
ML storage volumes store model artifacts and incremental states.
Training algorithms might also use the ML storage volume for scratch
space. If you want to store the training data in the ML storage volume,
choose File
as the TrainingInputMode
in the algorithm specification.
When using an ML instance with
NVMe SSD volumes,
SageMaker doesn't provision Amazon EBS General Purpose SSD (gp2)
storage. Available storage is fixed to the NVMe-type instance's storage
capacity. SageMaker configures storage paths for training datasets,
checkpoints, model artifacts, and outputs to use the entire capacity of
the instance storage. For example, ML instance families with the
NVMe-type instance storage include ml.p4d
, ml.g4dn
, and ml.g5
.
When using an ML instance with the EBS-only storage option and without
instance storage, you must define the size of EBS volume through
VolumeSizeInGB
in the ResourceConfig
API. For example, ML instance
families that use EBS volumes include ml.c5
and ml.p2
.
To look up instance types and their instance storage types and volumes, see Amazon EC2 Instance Types.
To find the default local paths defined by the SageMaker training platform, see Amazon SageMaker Training Storage Folders for Training Datasets, Checkpoints, Model Artifacts, and Outputs.
ResourceConfigForUpdate
resourceConfigForUpdate_keepAlivePeriodInSeconds :: Lens' ResourceConfigForUpdate Natural Source #
The KeepAlivePeriodInSeconds
value specified in the ResourceConfig
to update.
ResourceLimits
resourceLimits_maxNumberOfTrainingJobs :: Lens' ResourceLimits (Maybe Natural) Source #
The maximum number of training jobs that a hyperparameter tuning job can launch.
resourceLimits_maxParallelTrainingJobs :: Lens' ResourceLimits Natural Source #
The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.
ResourceSpec
resourceSpec_instanceType :: Lens' ResourceSpec (Maybe AppInstanceType) Source #
The instance type that the image version runs on.
JupyterServer apps only support the system
value.
For KernelGateway apps, the system
value is translated to
ml.t3.medium
. KernelGateway apps also support all other values for
available instance types.
resourceSpec_lifecycleConfigArn :: Lens' ResourceSpec (Maybe Text) Source #
The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.
resourceSpec_sageMakerImageArn :: Lens' ResourceSpec (Maybe Text) Source #
The ARN of the SageMaker image that the image version belongs to.
resourceSpec_sageMakerImageVersionArn :: Lens' ResourceSpec (Maybe Text) Source #
The ARN of the image version created on the instance.
RetentionPolicy
retentionPolicy_homeEfsFileSystem :: Lens' RetentionPolicy (Maybe RetentionType) Source #
The default is Retain
, which specifies to keep the data stored on the
EFS volume.
Specify Delete
to delete the data stored on the EFS volume.
RetryStrategy
retryStrategy_maximumRetryAttempts :: Lens' RetryStrategy Natural Source #
The number of times to retry the job. When the job is retried, it's
SecondaryStatus
is changed to STARTING
.
S3DataSource
s3DataSource_attributeNames :: Lens' S3DataSource (Maybe [Text]) Source #
A list of one or more attribute names to use that are found in a specified augmented manifest file.
s3DataSource_instanceGroupNames :: Lens' S3DataSource (Maybe [Text]) Source #
A list of names of instance groups that get data from the S3 data source.
s3DataSource_s3DataDistributionType :: Lens' S3DataSource (Maybe S3DataDistribution) Source #
If you want SageMaker to replicate the entire dataset on each ML compute
instance that is launched for model training, specify FullyReplicated
.
If you want SageMaker to replicate a subset of data on each ML compute
instance that is launched for model training, specify ShardedByS3Key
.
If there are n ML compute instances launched for a training job, each
instance gets approximately 1/n of the number of S3 objects. In this
case, model training on each machine uses only the subset of training
data.
Don't choose more ML compute instances for training than available S3 objects. If you do, some nodes won't get any data and you will pay for nodes that aren't getting any training data. This applies in both File and Pipe modes. Keep this in mind when developing algorithms.
In distributed training, where you use multiple ML compute EC2
instances, you might choose ShardedByS3Key
. If the algorithm requires
copying training data to the ML storage volume (when TrainingInputMode
is set to File
), this copies 1/n of the number of objects.
s3DataSource_s3DataType :: Lens' S3DataSource S3DataType Source #
If you choose S3Prefix
, S3Uri
identifies a key name prefix.
SageMaker uses all objects that match the specified key name prefix for
model training.
If you choose ManifestFile
, S3Uri
identifies an object that is a
manifest file containing a list of object keys that you want SageMaker
to use for model training.
If you choose AugmentedManifestFile
, S3Uri identifies an object that
is an augmented manifest file in JSON lines format. This file contains
the data you want to use for model training. AugmentedManifestFile
can
only be used if the Channel's input mode is Pipe
.
s3DataSource_s3Uri :: Lens' S3DataSource Text Source #
Depending on the value specified for the S3DataType
, identifies either
a key name prefix or a manifest. For example:
- A key name prefix might look like this:
s3://bucketname/exampleprefix
A manifest might look like this:
s3://bucketname/example.manifest
A manifest is an S3 object which is a JSON file consisting of an array of elements. The first element is a prefix which is followed by one or more suffixes. SageMaker appends the suffix elements to the prefix to get a full set of
S3Uri
. Note that the prefix must be a valid non-emptyS3Uri
that precludes users from specifying a manifest whose individualS3Uri
is sourced from different S3 buckets.The following code example shows a valid manifest format:
[ {"prefix": "s3://customer_bucket/some/prefix/"},
"relative/path/to/custdata-1",
"relative/path/custdata-2",
...
"relative/path/custdata-N"
]
This JSON is equivalent to the following
S3Uri
list:s3://customer_bucket/some/prefix/relative/path/to/custdata-1
s3://customer_bucket/some/prefix/relative/path/custdata-2
...
s3://customer_bucket/some/prefix/relative/path/custdata-N
The complete set of
S3Uri
in this manifest is the input data for the channel for this data source. The object that eachS3Uri
points to must be readable by the IAM role that SageMaker uses to perform tasks on your behalf.
S3StorageConfig
s3StorageConfig_kmsKeyId :: Lens' S3StorageConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service (KMS) key ID of the key
used to encrypt any objects written into the OfflineStore
S3 location.
The IAM roleARN
that is passed as a parameter to CreateFeatureGroup
must have below permissions to the KmsKeyId
:
"kms:GenerateDataKey"
s3StorageConfig_resolvedOutputS3Uri :: Lens' S3StorageConfig (Maybe Text) Source #
The S3 path where offline records are written.
s3StorageConfig_s3Uri :: Lens' S3StorageConfig Text Source #
The S3 URI, or location in Amazon S3, of OfflineStore
.
S3 URIs have a format similar to the following:
s3://example-bucket/prefix/
.
ScheduleConfig
scheduleConfig_scheduleExpression :: Lens' ScheduleConfig Text Source #
A cron expression that describes details about the monitoring schedule.
Currently the only supported cron expressions are:
If you want to set the job to start every hour, please use the following:
Hourly: cron(0 * ? * * *)
If you want to start the job daily:
cron(0 [00-23] ? * * *)
For example, the following are valid cron expressions:
- Daily at noon UTC:
cron(0 12 ? * * *)
- Daily at midnight UTC:
cron(0 0 ? * * *)
To support running every 6, 12 hours, the following are also supported:
cron(0 [00-23]/[01-24] ? * * *)
For example, the following are valid cron expressions:
- Every 12 hours, starting at 5pm UTC:
cron(0 17/12 ? * * *)
- Every two hours starting at midnight:
cron(0 0/2 ? * * *)
- Even though the cron expression is set to start at 5PM UTC, note that there could be a delay of 0-20 minutes from the actual requested time to run the execution.
- We recommend that if you would like a daily schedule, you do not provide this parameter. Amazon SageMaker will pick a time for running every day.
SearchExpression
searchExpression_filters :: Lens' SearchExpression (Maybe (NonEmpty Filter)) Source #
A list of filter objects.
searchExpression_nestedFilters :: Lens' SearchExpression (Maybe (NonEmpty NestedFilters)) Source #
A list of nested filter objects.
searchExpression_operator :: Lens' SearchExpression (Maybe BooleanOperator) Source #
A Boolean operator used to evaluate the search expression. If you want
every conditional statement in all lists to be satisfied for the entire
search expression to be true, specify And
. If only a single
conditional statement needs to be true for the entire search expression
to be true, specify Or
. The default value is And
.
searchExpression_subExpressions :: Lens' SearchExpression (Maybe (NonEmpty SearchExpression)) Source #
A list of search expression objects.
SearchRecord
searchRecord_endpoint :: Lens' SearchRecord (Maybe Endpoint) Source #
Undocumented member.
searchRecord_experiment :: Lens' SearchRecord (Maybe Experiment) Source #
The properties of an experiment.
searchRecord_featureGroup :: Lens' SearchRecord (Maybe FeatureGroup) Source #
Undocumented member.
searchRecord_featureMetadata :: Lens' SearchRecord (Maybe FeatureMetadata) Source #
The feature metadata used to search through the features.
searchRecord_hyperParameterTuningJob :: Lens' SearchRecord (Maybe HyperParameterTuningJobSearchEntity) Source #
The properties of a hyperparameter tuning job.
searchRecord_model :: Lens' SearchRecord (Maybe ModelDashboardModel) Source #
Undocumented member.
searchRecord_modelCard :: Lens' SearchRecord (Maybe ModelCard) Source #
An Amazon SageMaker Model Card that documents details about a machine learning model.
searchRecord_modelPackage :: Lens' SearchRecord (Maybe ModelPackage) Source #
Undocumented member.
searchRecord_modelPackageGroup :: Lens' SearchRecord (Maybe ModelPackageGroup) Source #
Undocumented member.
searchRecord_pipeline :: Lens' SearchRecord (Maybe Pipeline) Source #
Undocumented member.
searchRecord_pipelineExecution :: Lens' SearchRecord (Maybe PipelineExecution) Source #
Undocumented member.
searchRecord_project :: Lens' SearchRecord (Maybe Project) Source #
The properties of a project.
searchRecord_trainingJob :: Lens' SearchRecord (Maybe TrainingJob) Source #
The properties of a training job.
searchRecord_trial :: Lens' SearchRecord (Maybe Trial) Source #
The properties of a trial.
searchRecord_trialComponent :: Lens' SearchRecord (Maybe TrialComponent) Source #
The properties of a trial component.
SecondaryStatusTransition
secondaryStatusTransition_endTime :: Lens' SecondaryStatusTransition (Maybe UTCTime) Source #
A timestamp that shows when the training job transitioned out of this secondary status state into another secondary status state or when the training job has ended.
secondaryStatusTransition_statusMessage :: Lens' SecondaryStatusTransition (Maybe Text) Source #
A detailed description of the progress within a secondary status.
SageMaker provides secondary statuses and status messages that apply to each of them:
- Starting
- - Starting the training job.
- Launching requested ML instances.
- Insufficient capacity error from EC2 while launching instances, retrying!
- Launched instance was unhealthy, replacing it!
- Preparing the instances for training.
- Training
- - Downloading the training image.
- Training image download completed. Training in progress.
Status messages are subject to change. Therefore, we recommend not including them in code that programmatically initiates actions. For examples, don't use status messages in if statements.
To have an overview of your training job's progress, view
TrainingJobStatus
and SecondaryStatus
in DescribeTrainingJob, and
StatusMessage
together. For example, at the start of a training job,
you might see the following:
TrainingJobStatus
- InProgressSecondaryStatus
- TrainingStatusMessage
- Downloading the training image
secondaryStatusTransition_status :: Lens' SecondaryStatusTransition SecondaryStatus Source #
Contains a secondary status information from a training job.
Status might be one of the following secondary statuses:
- InProgress
- -
Starting
- Starting the training job.Downloading
- An optional stage for algorithms that supportFile
training input mode. It indicates that data is being downloaded to the ML storage volumes.Training
- Training is in progress.Uploading
- Training is complete and the model artifacts are being uploaded to the S3 location.
- Completed
- -
Completed
- The training job has completed. - Failed
- -
Failed
- The training job has failed. The reason for the failure is returned in theFailureReason
field ofDescribeTrainingJobResponse
. - Stopped
- -
MaxRuntimeExceeded
- The job stopped because it exceeded the maximum allowed runtime.Stopped
- The training job has stopped.
- Stopping
- -
Stopping
- Stopping the training job.
We no longer support the following secondary statuses:
LaunchingMLInstances
PreparingTrainingStack
DownloadingTrainingImage
secondaryStatusTransition_startTime :: Lens' SecondaryStatusTransition UTCTime Source #
A timestamp that shows when the training job transitioned to the current secondary status state.
ServiceCatalogProvisionedProductDetails
serviceCatalogProvisionedProductDetails_provisionedProductId :: Lens' ServiceCatalogProvisionedProductDetails (Maybe Text) Source #
The ID of the provisioned product.
serviceCatalogProvisionedProductDetails_provisionedProductStatusMessage :: Lens' ServiceCatalogProvisionedProductDetails (Maybe Text) Source #
The current status of the product.
AVAILABLE
- Stable state, ready to perform any operation. The most recent operation succeeded and completed.UNDER_CHANGE
- Transitive state. Operations performed might not have valid results. Wait for an AVAILABLE status before performing operations.TAINTED
- Stable state, ready to perform any operation. The stack has completed the requested operation but is not exactly what was requested. For example, a request to update to a new version failed and the stack rolled back to the current version.ERROR
- An unexpected error occurred. The provisioned product exists but the stack is not running. For example, CloudFormation received a parameter value that was not valid and could not launch the stack.PLAN_IN_PROGRESS
- Transitive state. The plan operations were performed to provision a new product, but resources have not yet been created. After reviewing the list of resources to be created, execute the plan. Wait for an AVAILABLE status before performing operations.
ServiceCatalogProvisioningDetails
serviceCatalogProvisioningDetails_pathId :: Lens' ServiceCatalogProvisioningDetails (Maybe Text) Source #
The path identifier of the product. This value is optional if the product has a default path, and required if the product has more than one path.
serviceCatalogProvisioningDetails_provisioningArtifactId :: Lens' ServiceCatalogProvisioningDetails (Maybe Text) Source #
The ID of the provisioning artifact.
serviceCatalogProvisioningDetails_provisioningParameters :: Lens' ServiceCatalogProvisioningDetails (Maybe [ProvisioningParameter]) Source #
A list of key value pairs that you specify when you provision a product.
serviceCatalogProvisioningDetails_productId :: Lens' ServiceCatalogProvisioningDetails Text Source #
The ID of the product to provision.
ServiceCatalogProvisioningUpdateDetails
serviceCatalogProvisioningUpdateDetails_provisioningArtifactId :: Lens' ServiceCatalogProvisioningUpdateDetails (Maybe Text) Source #
The ID of the provisioning artifact.
serviceCatalogProvisioningUpdateDetails_provisioningParameters :: Lens' ServiceCatalogProvisioningUpdateDetails (Maybe [ProvisioningParameter]) Source #
A list of key value pairs that you specify when you provision a product.
ShadowModeConfig
shadowModeConfig_sourceModelVariantName :: Lens' ShadowModeConfig Text Source #
The name of the production variant, which takes all the inference requests.
shadowModeConfig_shadowModelVariants :: Lens' ShadowModeConfig (NonEmpty ShadowModelVariantConfig) Source #
List of shadow variant configurations.
ShadowModelVariantConfig
shadowModelVariantConfig_shadowModelVariantName :: Lens' ShadowModelVariantConfig Text Source #
The name of the shadow variant.
shadowModelVariantConfig_samplingPercentage :: Lens' ShadowModelVariantConfig Int Source #
The percentage of inference requests that Amazon SageMaker replicates from the production variant to the shadow variant.
SharingSettings
sharingSettings_notebookOutputOption :: Lens' SharingSettings (Maybe NotebookOutputOption) Source #
Whether to include the notebook cell output when sharing the notebook.
The default is Disabled
.
sharingSettings_s3KmsKeyId :: Lens' SharingSettings (Maybe Text) Source #
When NotebookOutputOption
is Allowed
, the Amazon Web Services Key
Management Service (KMS) encryption key ID used to encrypt the notebook
cell output in the Amazon S3 bucket.
sharingSettings_s3OutputPath :: Lens' SharingSettings (Maybe Text) Source #
When NotebookOutputOption
is Allowed
, the Amazon S3 bucket used to
store the shared notebook snapshots.
ShuffleConfig
shuffleConfig_seed :: Lens' ShuffleConfig Integer Source #
Determines the shuffling order in ShuffleConfig
value.
SourceAlgorithm
sourceAlgorithm_modelDataUrl :: Lens' SourceAlgorithm (Maybe Text) Source #
The Amazon S3 path where the model artifacts, which result from model
training, are stored. This path must point to a single gzip
compressed
tar archive (.tar.gz
suffix).
The model artifacts must be in an S3 bucket that is in the same region as the algorithm.
sourceAlgorithm_algorithmName :: Lens' SourceAlgorithm Text Source #
The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.
SourceAlgorithmSpecification
sourceAlgorithmSpecification_sourceAlgorithms :: Lens' SourceAlgorithmSpecification (NonEmpty SourceAlgorithm) Source #
A list of the algorithms that were used to create a model package.
SourceIpConfig
sourceIpConfig_cidrs :: Lens' SourceIpConfig [Text] Source #
A list of one to ten Classless Inter-Domain Routing (CIDR) values.
Maximum: Ten CIDR values
The following Length Constraints apply to individual CIDR values in the CIDR value list.
SpaceDetails
spaceDetails_creationTime :: Lens' SpaceDetails (Maybe UTCTime) Source #
The creation time.
spaceDetails_domainId :: Lens' SpaceDetails (Maybe Text) Source #
The ID of the associated Domain.
spaceDetails_lastModifiedTime :: Lens' SpaceDetails (Maybe UTCTime) Source #
The last modified time.
spaceDetails_spaceName :: Lens' SpaceDetails (Maybe Text) Source #
The name of the space.
spaceDetails_status :: Lens' SpaceDetails (Maybe SpaceStatus) Source #
The status.
SpaceSettings
spaceSettings_jupyterServerAppSettings :: Lens' SpaceSettings (Maybe JupyterServerAppSettings) Source #
Undocumented member.
spaceSettings_kernelGatewayAppSettings :: Lens' SpaceSettings (Maybe KernelGatewayAppSettings) Source #
Undocumented member.
StoppingCondition
stoppingCondition_maxRuntimeInSeconds :: Lens' StoppingCondition (Maybe Natural) Source #
The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.
For compilation jobs, if the job does not complete during this time, a
TimeOut
error is generated. We recommend starting with 900 seconds and
increasing as necessary based on your model.
For all other jobs, if the job does not complete during this time,
SageMaker ends the job. When RetryStrategy
is specified in the job
request, MaxRuntimeInSeconds
specifies the maximum time for all of the
attempts in total, not each individual attempt. The default value is 1
day. The maximum value is 28 days.
The maximum time that a TrainingJob
can run in total, including any
time spent publishing metrics or archiving and uploading models after it
has been stopped, is 30 days.
stoppingCondition_maxWaitTimeInSeconds :: Lens' StoppingCondition (Maybe Natural) Source #
The maximum length of time, in seconds, that a managed Spot training job
has to complete. It is the amount of time spent waiting for Spot
capacity plus the amount of time the job can run. It must be equal to or
greater than MaxRuntimeInSeconds
. If the job does not complete during
this time, SageMaker ends the job.
When RetryStrategy
is specified in the job request,
MaxWaitTimeInSeconds
specifies the maximum time for all of the
attempts in total, not each individual attempt.
StudioLifecycleConfigDetails
studioLifecycleConfigDetails_creationTime :: Lens' StudioLifecycleConfigDetails (Maybe UTCTime) Source #
The creation time of the Studio Lifecycle Configuration.
studioLifecycleConfigDetails_lastModifiedTime :: Lens' StudioLifecycleConfigDetails (Maybe UTCTime) Source #
This value is equivalent to CreationTime because Studio Lifecycle Configurations are immutable.
studioLifecycleConfigDetails_studioLifecycleConfigAppType :: Lens' StudioLifecycleConfigDetails (Maybe StudioLifecycleConfigAppType) Source #
The App type to which the Lifecycle Configuration is attached.
studioLifecycleConfigDetails_studioLifecycleConfigArn :: Lens' StudioLifecycleConfigDetails (Maybe Text) Source #
The Amazon Resource Name (ARN) of the Lifecycle Configuration.
studioLifecycleConfigDetails_studioLifecycleConfigName :: Lens' StudioLifecycleConfigDetails (Maybe Text) Source #
The name of the Studio Lifecycle Configuration.
SubscribedWorkteam
subscribedWorkteam_listingId :: Lens' SubscribedWorkteam (Maybe Text) Source #
Marketplace product listing ID.
subscribedWorkteam_marketplaceDescription :: Lens' SubscribedWorkteam (Maybe Text) Source #
The description of the vendor from the Amazon Marketplace.
subscribedWorkteam_marketplaceTitle :: Lens' SubscribedWorkteam (Maybe Text) Source #
The title of the service provided by the vendor in the Amazon Marketplace.
subscribedWorkteam_sellerName :: Lens' SubscribedWorkteam (Maybe Text) Source #
The name of the vendor in the Amazon Marketplace.
subscribedWorkteam_workteamArn :: Lens' SubscribedWorkteam Text Source #
The Amazon Resource Name (ARN) of the vendor that you have subscribed.
SuggestionQuery
suggestionQuery_propertyNameQuery :: Lens' SuggestionQuery (Maybe PropertyNameQuery) Source #
Defines a property name hint. Only property names that begin with the specified hint are included in the response.
Tag
TargetPlatform
targetPlatform_accelerator :: Lens' TargetPlatform (Maybe TargetPlatformAccelerator) Source #
Specifies a target platform accelerator (optional).
NVIDIA
: Nvidia graphics processing unit. It also requiresgpu-code
,trt-ver
,cuda-ver
compiler optionsMALI
: ARM Mali graphics processorINTEL_GRAPHICS
: Integrated Intel graphics
targetPlatform_os :: Lens' TargetPlatform TargetPlatformOs Source #
Specifies a target platform OS.
LINUX
: Linux-based operating systems.ANDROID
: Android operating systems. Android API level can be specified using theANDROID_PLATFORM
compiler option. For example,"CompilerOptions": {'ANDROID_PLATFORM': 28}
targetPlatform_arch :: Lens' TargetPlatform TargetPlatformArch Source #
Specifies a target platform architecture.
X86_64
: 64-bit version of the x86 instruction set.X86
: 32-bit version of the x86 instruction set.ARM64
: ARMv8 64-bit CPU.ARM_EABIHF
: ARMv7 32-bit, Hard Float.ARM_EABI
: ARMv7 32-bit, Soft Float. Used by Android 32-bit ARM platform.
TensorBoardAppSettings
tensorBoardAppSettings_defaultResourceSpec :: Lens' TensorBoardAppSettings (Maybe ResourceSpec) Source #
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.
TensorBoardOutputConfig
tensorBoardOutputConfig_localPath :: Lens' TensorBoardOutputConfig (Maybe Text) Source #
Path to local storage location for tensorBoard output. Defaults to
/opt/ml/output/tensorboard
.
tensorBoardOutputConfig_s3OutputPath :: Lens' TensorBoardOutputConfig Text Source #
Path to Amazon S3 storage location for TensorBoard output.
TimeSeriesForecastingSettings
timeSeriesForecastingSettings_amazonForecastRoleArn :: Lens' TimeSeriesForecastingSettings (Maybe Text) Source #
The IAM role that Canvas passes to Amazon Forecast for time series
forecasting. By default, Canvas uses the execution role specified in the
UserProfile
that launches the Canvas app. If an execution role is not
specified in the UserProfile
, Canvas uses the execution role specified
in the Domain that owns the UserProfile
. To allow time series
forecasting, this IAM role should have the
AmazonSageMakerCanvasForecastAccess
policy attached and forecast.amazonaws.com
added in the trust
relationship as a service principal.
timeSeriesForecastingSettings_status :: Lens' TimeSeriesForecastingSettings (Maybe FeatureStatus) Source #
Describes whether time series forecasting is enabled or disabled in the Canvas app.
TrafficPattern
trafficPattern_phases :: Lens' TrafficPattern (Maybe (NonEmpty Phase)) Source #
Defines the phases traffic specification.
trafficPattern_trafficType :: Lens' TrafficPattern (Maybe TrafficType) Source #
Defines the traffic patterns.
TrafficRoutingConfig
trafficRoutingConfig_canarySize :: Lens' TrafficRoutingConfig (Maybe CapacitySize) Source #
Batch size for the first step to turn on traffic on the new endpoint
fleet. Value
must be less than or equal to 50% of the variant's total
instance count.
trafficRoutingConfig_linearStepSize :: Lens' TrafficRoutingConfig (Maybe CapacitySize) Source #
Batch size for each step to turn on traffic on the new endpoint fleet.
Value
must be 10-50% of the variant's total instance count.
trafficRoutingConfig_type :: Lens' TrafficRoutingConfig TrafficRoutingConfigType Source #
Traffic routing strategy type.
ALL_AT_ONCE
: Endpoint traffic shifts to the new fleet in a single step.CANARY
: Endpoint traffic shifts to the new fleet in two steps. The first step is the canary, which is a small portion of the traffic. The second step is the remainder of the traffic.LINEAR
: Endpoint traffic shifts to the new fleet in n steps of a configurable size.
trafficRoutingConfig_waitIntervalInSeconds :: Lens' TrafficRoutingConfig Natural Source #
The waiting time (in seconds) between incremental steps to turn on traffic on the new endpoint fleet.
TrainingJob
trainingJob_algorithmSpecification :: Lens' TrainingJob (Maybe AlgorithmSpecification) Source #
Information about the algorithm used for training, and algorithm metadata.
trainingJob_autoMLJobArn :: Lens' TrainingJob (Maybe Text) Source #
The Amazon Resource Name (ARN) of the job.
trainingJob_billableTimeInSeconds :: Lens' TrainingJob (Maybe Natural) Source #
The billable time in seconds.
trainingJob_checkpointConfig :: Lens' TrainingJob (Maybe CheckpointConfig) Source #
Undocumented member.
trainingJob_creationTime :: Lens' TrainingJob (Maybe UTCTime) Source #
A timestamp that indicates when the training job was created.
trainingJob_debugHookConfig :: Lens' TrainingJob (Maybe DebugHookConfig) Source #
Undocumented member.
trainingJob_debugRuleConfigurations :: Lens' TrainingJob (Maybe [DebugRuleConfiguration]) Source #
Information about the debug rule configuration.
trainingJob_debugRuleEvaluationStatuses :: Lens' TrainingJob (Maybe [DebugRuleEvaluationStatus]) Source #
Information about the evaluation status of the rules for the training job.
trainingJob_enableInterContainerTrafficEncryption :: Lens' TrainingJob (Maybe Bool) Source #
To encrypt all communications between ML compute instances in
distributed training, choose True
. Encryption provides greater
security for distributed training, but training might take longer. How
long it takes depends on the amount of communication between compute
instances, especially if you use a deep learning algorithm in
distributed training.
trainingJob_enableManagedSpotTraining :: Lens' TrainingJob (Maybe Bool) Source #
When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see Managed Spot Training.
trainingJob_enableNetworkIsolation :: Lens' TrainingJob (Maybe Bool) Source #
If the TrainingJob
was created with network isolation, the value is
set to true
. If network isolation is enabled, nodes can't communicate
beyond the VPC they run in.
trainingJob_environment :: Lens' TrainingJob (Maybe (HashMap Text Text)) Source #
The environment variables to set in the Docker container.
trainingJob_experimentConfig :: Lens' TrainingJob (Maybe ExperimentConfig) Source #
Undocumented member.
trainingJob_failureReason :: Lens' TrainingJob (Maybe Text) Source #
If the training job failed, the reason it failed.
trainingJob_finalMetricDataList :: Lens' TrainingJob (Maybe [MetricData]) Source #
A list of final metric values that are set when the training job completes. Used only if the training job was configured to use metrics.
trainingJob_hyperParameters :: Lens' TrainingJob (Maybe (HashMap Text Text)) Source #
Algorithm-specific parameters.
trainingJob_inputDataConfig :: Lens' TrainingJob (Maybe (NonEmpty Channel)) Source #
An array of Channel
objects that describes each data input channel.
trainingJob_labelingJobArn :: Lens' TrainingJob (Maybe Text) Source #
The Amazon Resource Name (ARN) of the labeling job.
trainingJob_lastModifiedTime :: Lens' TrainingJob (Maybe UTCTime) Source #
A timestamp that indicates when the status of the training job was last modified.
trainingJob_modelArtifacts :: Lens' TrainingJob (Maybe ModelArtifacts) Source #
Information about the Amazon S3 location that is configured for storing model artifacts.
trainingJob_outputDataConfig :: Lens' TrainingJob (Maybe OutputDataConfig) Source #
The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates subfolders for model artifacts.
trainingJob_resourceConfig :: Lens' TrainingJob (Maybe ResourceConfig) Source #
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
trainingJob_retryStrategy :: Lens' TrainingJob (Maybe RetryStrategy) Source #
The number of times to retry the job when the job fails due to an
InternalServerError
.
trainingJob_roleArn :: Lens' TrainingJob (Maybe Text) Source #
The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
trainingJob_secondaryStatus :: Lens' TrainingJob (Maybe SecondaryStatus) Source #
Provides detailed information about the state of the training job. For
detailed information about the secondary status of the training job, see
StatusMessage
under SecondaryStatusTransition.
SageMaker provides primary statuses and secondary statuses that apply to each of them:
- InProgress
- -
Starting
- Starting the training job.Downloading
- An optional stage for algorithms that supportFile
training input mode. It indicates that data is being downloaded to the ML storage volumes.Training
- Training is in progress.Uploading
- Training is complete and the model artifacts are being uploaded to the S3 location.
- Completed
- -
Completed
- The training job has completed. - Failed
- -
Failed
- The training job has failed. The reason for the failure is returned in theFailureReason
field ofDescribeTrainingJobResponse
. - Stopped
- -
MaxRuntimeExceeded
- The job stopped because it exceeded the maximum allowed runtime.Stopped
- The training job has stopped.
- Stopping
- -
Stopping
- Stopping the training job.
Valid values for SecondaryStatus
are subject to change.
We no longer support the following secondary statuses:
LaunchingMLInstances
PreparingTrainingStack
DownloadingTrainingImage
trainingJob_secondaryStatusTransitions :: Lens' TrainingJob (Maybe [SecondaryStatusTransition]) Source #
A history of all of the secondary statuses that the training job has transitioned through.
trainingJob_stoppingCondition :: Lens' TrainingJob (Maybe StoppingCondition) Source #
Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, SageMaker sends the algorithm the SIGTERM
signal, which
delays job termination for 120 seconds. Algorithms can use this
120-second window to save the model artifacts, so the results of
training are not lost.
trainingJob_tags :: Lens' TrainingJob (Maybe [Tag]) Source #
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
trainingJob_tensorBoardOutputConfig :: Lens' TrainingJob (Maybe TensorBoardOutputConfig) Source #
Undocumented member.
trainingJob_trainingEndTime :: Lens' TrainingJob (Maybe UTCTime) Source #
Indicates the time when the training job ends on training instances. You
are billed for the time interval between the value of
TrainingStartTime
and this time. For successful jobs and stopped jobs,
this is the time after model artifacts are uploaded. For failed jobs,
this is the time when SageMaker detects a job failure.
trainingJob_trainingJobArn :: Lens' TrainingJob (Maybe Text) Source #
The Amazon Resource Name (ARN) of the training job.
trainingJob_trainingJobName :: Lens' TrainingJob (Maybe Text) Source #
The name of the training job.
trainingJob_trainingJobStatus :: Lens' TrainingJob (Maybe TrainingJobStatus) Source #
The status of the training job.
Training job statuses are:
InProgress
- The training is in progress.Completed
- The training job has completed.Failed
- The training job has failed. To see the reason for the failure, see theFailureReason
field in the response to aDescribeTrainingJobResponse
call.Stopping
- The training job is stopping.Stopped
- The training job has stopped.
For more detailed information, see SecondaryStatus
.
trainingJob_trainingStartTime :: Lens' TrainingJob (Maybe UTCTime) Source #
Indicates the time when the training job starts on training instances.
You are billed for the time interval between this time and the value of
TrainingEndTime
. The start time in CloudWatch Logs might be later than
this time. The difference is due to the time it takes to download the
training data and to the size of the training container.
trainingJob_trainingTimeInSeconds :: Lens' TrainingJob (Maybe Natural) Source #
The training time in seconds.
trainingJob_tuningJobArn :: Lens' TrainingJob (Maybe Text) Source #
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
trainingJob_vpcConfig :: Lens' TrainingJob (Maybe VpcConfig) Source #
A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
TrainingJobDefinition
trainingJobDefinition_hyperParameters :: Lens' TrainingJobDefinition (Maybe (HashMap Text Text)) Source #
The hyperparameters used for the training job.
trainingJobDefinition_trainingInputMode :: Lens' TrainingJobDefinition TrainingInputMode Source #
Undocumented member.
trainingJobDefinition_inputDataConfig :: Lens' TrainingJobDefinition (NonEmpty Channel) Source #
An array of Channel
objects, each of which specifies an input source.
trainingJobDefinition_outputDataConfig :: Lens' TrainingJobDefinition OutputDataConfig Source #
the path to the S3 bucket where you want to store model artifacts. SageMaker creates subfolders for the artifacts.
trainingJobDefinition_resourceConfig :: Lens' TrainingJobDefinition ResourceConfig Source #
The resources, including the ML compute instances and ML storage volumes, to use for model training.
trainingJobDefinition_stoppingCondition :: Lens' TrainingJobDefinition StoppingCondition Source #
Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.
TrainingJobStatusCounters
trainingJobStatusCounters_completed :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #
The number of completed training jobs launched by the hyperparameter tuning job.
trainingJobStatusCounters_inProgress :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #
The number of in-progress training jobs launched by a hyperparameter tuning job.
trainingJobStatusCounters_nonRetryableError :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #
The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred.
trainingJobStatusCounters_retryableError :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #
The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.
trainingJobStatusCounters_stopped :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #
The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
TrainingJobStepMetadata
trainingJobStepMetadata_arn :: Lens' TrainingJobStepMetadata (Maybe Text) Source #
The Amazon Resource Name (ARN) of the training job that was run by this step execution.
TrainingJobSummary
trainingJobSummary_lastModifiedTime :: Lens' TrainingJobSummary (Maybe UTCTime) Source #
Timestamp when the training job was last modified.
trainingJobSummary_trainingEndTime :: Lens' TrainingJobSummary (Maybe UTCTime) Source #
A timestamp that shows when the training job ended. This field is set
only if the training job has one of the terminal statuses (Completed
,
Failed
, or Stopped
).
trainingJobSummary_warmPoolStatus :: Lens' TrainingJobSummary (Maybe WarmPoolStatus) Source #
The status of the warm pool associated with the training job.
trainingJobSummary_trainingJobName :: Lens' TrainingJobSummary Text Source #
The name of the training job that you want a summary for.
trainingJobSummary_trainingJobArn :: Lens' TrainingJobSummary Text Source #
The Amazon Resource Name (ARN) of the training job.
trainingJobSummary_creationTime :: Lens' TrainingJobSummary UTCTime Source #
A timestamp that shows when the training job was created.
trainingJobSummary_trainingJobStatus :: Lens' TrainingJobSummary TrainingJobStatus Source #
The status of the training job.
TrainingSpecification
trainingSpecification_metricDefinitions :: Lens' TrainingSpecification (Maybe [MetricDefinition]) Source #
A list of MetricDefinition
objects, which are used for parsing metrics
generated by the algorithm.
trainingSpecification_supportedHyperParameters :: Lens' TrainingSpecification (Maybe [HyperParameterSpecification]) Source #
A list of the HyperParameterSpecification
objects, that define the
supported hyperparameters. This is required if the algorithm supports
automatic model tuning.>
trainingSpecification_supportedTuningJobObjectiveMetrics :: Lens' TrainingSpecification (Maybe [HyperParameterTuningJobObjective]) Source #
A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.
trainingSpecification_supportsDistributedTraining :: Lens' TrainingSpecification (Maybe Bool) Source #
Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.
trainingSpecification_trainingImageDigest :: Lens' TrainingSpecification (Maybe Text) Source #
An MD5 hash of the training algorithm that identifies the Docker image used for training.
trainingSpecification_trainingImage :: Lens' TrainingSpecification Text Source #
The Amazon ECR registry path of the Docker image that contains the training algorithm.
trainingSpecification_supportedTrainingInstanceTypes :: Lens' TrainingSpecification [TrainingInstanceType] Source #
A list of the instance types that this algorithm can use for training.
trainingSpecification_trainingChannels :: Lens' TrainingSpecification (NonEmpty ChannelSpecification) Source #
A list of ChannelSpecification
objects, which specify the input
sources to be used by the algorithm.
TransformDataSource
transformDataSource_s3DataSource :: Lens' TransformDataSource TransformS3DataSource Source #
The S3 location of the data source that is associated with a channel.
TransformInput
transformInput_compressionType :: Lens' TransformInput (Maybe CompressionType) Source #
If your transform data is compressed, specify the compression type.
Amazon SageMaker automatically decompresses the data for the transform
job accordingly. The default value is None
.
transformInput_contentType :: Lens' TransformInput (Maybe Text) Source #
The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.
transformInput_splitType :: Lens' TransformInput (Maybe SplitType) Source #
The method to use to split the transform job's data files into smaller
batches. Splitting is necessary when the total size of each object is
too large to fit in a single request. You can also use data splitting to
improve performance by processing multiple concurrent mini-batches. The
default value for SplitType
is None
, which indicates that input data
files are not split, and request payloads contain the entire contents of
an input object. Set the value of this parameter to Line
to split
records on a newline character boundary. SplitType
also supports a
number of record-oriented binary data formats. Currently, the supported
record formats are:
- RecordIO
- TFRecord
When splitting is enabled, the size of a mini-batch depends on the
values of the BatchStrategy
and MaxPayloadInMB
parameters. When the
value of BatchStrategy
is MultiRecord
, Amazon SageMaker sends the
maximum number of records in each request, up to the MaxPayloadInMB
limit. If the value of BatchStrategy
is SingleRecord
, Amazon
SageMaker sends individual records in each request.
Some data formats represent a record as a binary payload wrapped with
extra padding bytes. When splitting is applied to a binary data format,
padding is removed if the value of BatchStrategy
is set to
SingleRecord
. Padding is not removed if the value of BatchStrategy
is set to MultiRecord
.
For more information about RecordIO
, see
Create a Dataset Using RecordIO
in the MXNet documentation. For more information about TFRecord
, see
Consuming TFRecord data
in the TensorFlow documentation.
transformInput_dataSource :: Lens' TransformInput TransformDataSource Source #
Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.
TransformJob
transformJob_autoMLJobArn :: Lens' TransformJob (Maybe Text) Source #
The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
transformJob_batchStrategy :: Lens' TransformJob (Maybe BatchStrategy) Source #
Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
transformJob_creationTime :: Lens' TransformJob (Maybe UTCTime) Source #
A timestamp that shows when the transform Job was created.
transformJob_dataProcessing :: Lens' TransformJob (Maybe DataProcessing) Source #
Undocumented member.
transformJob_environment :: Lens' TransformJob (Maybe (HashMap Text Text)) Source #
The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
transformJob_experimentConfig :: Lens' TransformJob (Maybe ExperimentConfig) Source #
Undocumented member.
transformJob_failureReason :: Lens' TransformJob (Maybe Text) Source #
If the transform job failed, the reason it failed.
transformJob_labelingJobArn :: Lens' TransformJob (Maybe Text) Source #
The Amazon Resource Name (ARN) of the labeling job that created the transform job.
transformJob_maxConcurrentTransforms :: Lens' TransformJob (Maybe Natural) Source #
The maximum number of parallel requests that can be sent to each
instance in a transform job. If MaxConcurrentTransforms
is set to 0 or
left unset, SageMaker checks the optional execution-parameters to
determine the settings for your chosen algorithm. If the
execution-parameters endpoint is not enabled, the default value is 1.
For built-in algorithms, you don't need to set a value for
MaxConcurrentTransforms
.
transformJob_maxPayloadInMB :: Lens' TransformJob (Maybe Natural) Source #
The maximum allowed size of the payload, in MB. A payload is the data
portion of a record (without metadata). The value in MaxPayloadInMB
must be greater than, or equal to, the size of a single record. To
estimate the size of a record in MB, divide the size of your dataset by
the number of records. To ensure that the records fit within the maximum
payload size, we recommend using a slightly larger value. The default
value is 6 MB. For cases where the payload might be arbitrarily large
and is transmitted using HTTP chunked encoding, set the value to 0. This
feature works only in supported algorithms. Currently, SageMaker
built-in algorithms do not support HTTP chunked encoding.
transformJob_modelClientConfig :: Lens' TransformJob (Maybe ModelClientConfig) Source #
Undocumented member.
transformJob_modelName :: Lens' TransformJob (Maybe Text) Source #
The name of the model associated with the transform job.
transformJob_tags :: Lens' TransformJob (Maybe [Tag]) Source #
A list of tags associated with the transform job.
transformJob_transformEndTime :: Lens' TransformJob (Maybe UTCTime) Source #
Indicates when the transform job has been completed, or has stopped or
failed. You are billed for the time interval between this time and the
value of TransformStartTime
.
transformJob_transformInput :: Lens' TransformJob (Maybe TransformInput) Source #
Undocumented member.
transformJob_transformJobArn :: Lens' TransformJob (Maybe Text) Source #
The Amazon Resource Name (ARN) of the transform job.
transformJob_transformJobName :: Lens' TransformJob (Maybe Text) Source #
The name of the transform job.
transformJob_transformJobStatus :: Lens' TransformJob (Maybe TransformJobStatus) Source #
The status of the transform job.
Transform job statuses are:
InProgress
- The job is in progress.Completed
- The job has completed.Failed
- The transform job has failed. To see the reason for the failure, see theFailureReason
field in the response to aDescribeTransformJob
call.Stopping
- The transform job is stopping.Stopped
- The transform job has stopped.
transformJob_transformOutput :: Lens' TransformJob (Maybe TransformOutput) Source #
Undocumented member.
transformJob_transformResources :: Lens' TransformJob (Maybe TransformResources) Source #
Undocumented member.
transformJob_transformStartTime :: Lens' TransformJob (Maybe UTCTime) Source #
Indicates when the transform job starts on ML instances. You are billed
for the time interval between this time and the value of
TransformEndTime
.
TransformJobDefinition
transformJobDefinition_batchStrategy :: Lens' TransformJobDefinition (Maybe BatchStrategy) Source #
A string that determines the number of records included in a single mini-batch.
SingleRecord
means only one record is used per mini-batch.
MultiRecord
means a mini-batch is set to contain as many records that
can fit within the MaxPayloadInMB
limit.
transformJobDefinition_environment :: Lens' TransformJobDefinition (Maybe (HashMap Text Text)) Source #
The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
transformJobDefinition_maxConcurrentTransforms :: Lens' TransformJobDefinition (Maybe Natural) Source #
The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.
transformJobDefinition_maxPayloadInMB :: Lens' TransformJobDefinition (Maybe Natural) Source #
The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).
transformJobDefinition_transformInput :: Lens' TransformJobDefinition TransformInput Source #
A description of the input source and the way the transform job consumes it.
transformJobDefinition_transformOutput :: Lens' TransformJobDefinition TransformOutput Source #
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
transformJobDefinition_transformResources :: Lens' TransformJobDefinition TransformResources Source #
Identifies the ML compute instances for the transform job.
TransformJobStepMetadata
transformJobStepMetadata_arn :: Lens' TransformJobStepMetadata (Maybe Text) Source #
The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
TransformJobSummary
transformJobSummary_failureReason :: Lens' TransformJobSummary (Maybe Text) Source #
If the transform job failed, the reason it failed.
transformJobSummary_lastModifiedTime :: Lens' TransformJobSummary (Maybe UTCTime) Source #
Indicates when the transform job was last modified.
transformJobSummary_transformEndTime :: Lens' TransformJobSummary (Maybe UTCTime) Source #
Indicates when the transform job ends on compute instances. For successful jobs and stopped jobs, this is the exact time recorded after the results are uploaded. For failed jobs, this is when Amazon SageMaker detected that the job failed.
transformJobSummary_transformJobName :: Lens' TransformJobSummary Text Source #
The name of the transform job.
transformJobSummary_transformJobArn :: Lens' TransformJobSummary Text Source #
The Amazon Resource Name (ARN) of the transform job.
transformJobSummary_creationTime :: Lens' TransformJobSummary UTCTime Source #
A timestamp that shows when the transform Job was created.
transformJobSummary_transformJobStatus :: Lens' TransformJobSummary TransformJobStatus Source #
The status of the transform job.
TransformOutput
transformOutput_accept :: Lens' TransformOutput (Maybe Text) Source #
The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.
transformOutput_assembleWith :: Lens' TransformOutput (Maybe AssemblyType) Source #
Defines how to assemble the results of the transform job as a single S3
object. Choose a format that is most convenient to you. To concatenate
the results in binary format, specify None
. To add a newline character
at the end of every transformed record, specify Line
.
transformOutput_kmsKeyId :: Lens' TransformOutput (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS)
key that Amazon SageMaker uses to encrypt the model artifacts at rest
using Amazon S3 server-side encryption. The KmsKeyId
can be any of the
following formats:
- Key ID:
1234abcd-12ab-34cd-56ef-1234567890ab
- Key ARN:
arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
- Alias name:
alias/ExampleAlias
- Alias name ARN:
arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
transformOutput_s3OutputPath :: Lens' TransformOutput Text Source #
The Amazon S3 path where you want Amazon SageMaker to store the results
of the transform job. For example,
s3://bucket-name/key-name-prefix
.
For every S3 object used as input for the transform job, batch transform
stores the transformed data with an .out
suffix in a corresponding
subfolder in the location in the output prefix. For example, for the
input data stored at
s3://bucket-name/input-name-prefix/dataset01/data.csv
, batch
transform stores the transformed data at
s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out
.
Batch transform doesn't upload partially processed objects. For an
input S3 object that contains multiple records, it creates an .out
file only if the transform job succeeds on the entire file. When the
input contains multiple S3 objects, the batch transform job processes
the listed S3 objects and uploads only the output for successfully
processed objects. If any object fails in the transform job batch
transform marks the job as failed to prompt investigation.
TransformResources
transformResources_volumeKmsKeyId :: Lens' TransformResources (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
Certain Nitro-based instances include local storage, dependent on the
instance type. Local storage volumes are encrypted using a hardware
module on the instance. You can't request a VolumeKmsKeyId
when using
an instance type with local storage.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
The VolumeKmsKeyId
can be any of the following formats:
- Key ID:
1234abcd-12ab-34cd-56ef-1234567890ab
- Key ARN:
arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
- Alias name:
alias/ExampleAlias
- Alias name ARN:
arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
transformResources_instanceType :: Lens' TransformResources TransformInstanceType Source #
The ML compute instance type for the transform job. If you are using
built-in algorithms to transform moderately sized datasets, we recommend
using ml.m4.xlarge or ml.m5.large
instance types.
transformResources_instanceCount :: Lens' TransformResources Natural Source #
The number of ML compute instances to use in the transform job. The
default value is 1
, and the maximum is 100
. For distributed
transform jobs, specify a value greater than 1
.
TransformS3DataSource
transformS3DataSource_s3DataType :: Lens' TransformS3DataSource S3DataType Source #
If you choose S3Prefix
, S3Uri
identifies a key name prefix. Amazon
SageMaker uses all objects with the specified key name prefix for batch
transform.
If you choose ManifestFile
, S3Uri
identifies an object that is a
manifest file containing a list of object keys that you want Amazon
SageMaker to use for batch transform.
The following values are compatible: ManifestFile
, S3Prefix
The following value is not compatible: AugmentedManifestFile
transformS3DataSource_s3Uri :: Lens' TransformS3DataSource Text Source #
Depending on the value specified for the S3DataType
, identifies either
a key name prefix or a manifest. For example:
- A key name prefix might look like this:
s3://bucketname/exampleprefix
. A manifest might look like this:
s3://bucketname/example.manifest
The manifest is an S3 object which is a JSON file with the following format:
[ {"prefix": "s3://customer_bucket/some/prefix/"},
"relative/path/to/custdata-1",
"relative/path/custdata-2",
...
"relative/path/custdata-N"
]
The preceding JSON matches the following
S3Uris
:s3://customer_bucket/some/prefix/relative/path/to/custdata-1
s3://customer_bucket/some/prefix/relative/path/custdata-2
...
s3://customer_bucket/some/prefix/relative/path/custdata-N
The complete set of
S3Uris
in this manifest constitutes the input data for the channel for this datasource. The object that eachS3Uris
points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.
Trial
trial_createdBy :: Lens' Trial (Maybe UserContext) Source #
Who created the trial.
trial_displayName :: Lens' Trial (Maybe Text) Source #
The name of the trial as displayed. If DisplayName
isn't specified,
TrialName
is displayed.
trial_experimentName :: Lens' Trial (Maybe Text) Source #
The name of the experiment the trial is part of.
trial_lastModifiedBy :: Lens' Trial (Maybe UserContext) Source #
Undocumented member.
trial_metadataProperties :: Lens' Trial (Maybe MetadataProperties) Source #
Undocumented member.
trial_source :: Lens' Trial (Maybe TrialSource) Source #
Undocumented member.
trial_tags :: Lens' Trial (Maybe [Tag]) Source #
The list of tags that are associated with the trial. You can use Search API to search on the tags.
trial_trialComponentSummaries :: Lens' Trial (Maybe [TrialComponentSimpleSummary]) Source #
A list of the components associated with the trial. For each component, a summary of the component's properties is included.
TrialComponent
trialComponent_createdBy :: Lens' TrialComponent (Maybe UserContext) Source #
Who created the trial component.
trialComponent_creationTime :: Lens' TrialComponent (Maybe UTCTime) Source #
When the component was created.
trialComponent_displayName :: Lens' TrialComponent (Maybe Text) Source #
The name of the component as displayed. If DisplayName
isn't
specified, TrialComponentName
is displayed.
trialComponent_endTime :: Lens' TrialComponent (Maybe UTCTime) Source #
When the component ended.
trialComponent_inputArtifacts :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentArtifact)) Source #
The input artifacts of the component.
trialComponent_lastModifiedBy :: Lens' TrialComponent (Maybe UserContext) Source #
Undocumented member.
trialComponent_lastModifiedTime :: Lens' TrialComponent (Maybe UTCTime) Source #
When the component was last modified.
trialComponent_lineageGroupArn :: Lens' TrialComponent (Maybe Text) Source #
The Amazon Resource Name (ARN) of the lineage group resource.
trialComponent_metadataProperties :: Lens' TrialComponent (Maybe MetadataProperties) Source #
Undocumented member.
trialComponent_metrics :: Lens' TrialComponent (Maybe [TrialComponentMetricSummary]) Source #
The metrics for the component.
trialComponent_outputArtifacts :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentArtifact)) Source #
The output artifacts of the component.
trialComponent_parameters :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentParameterValue)) Source #
The hyperparameters of the component.
trialComponent_parents :: Lens' TrialComponent (Maybe [Parent]) Source #
An array of the parents of the component. A parent is a trial the component is associated with and the experiment the trial is part of. A component might not have any parents.
trialComponent_runName :: Lens' TrialComponent (Maybe Text) Source #
The name of the experiment run.
trialComponent_source :: Lens' TrialComponent (Maybe TrialComponentSource) Source #
The Amazon Resource Name (ARN) and job type of the source of the component.
trialComponent_sourceDetail :: Lens' TrialComponent (Maybe TrialComponentSourceDetail) Source #
Details of the source of the component.
trialComponent_startTime :: Lens' TrialComponent (Maybe UTCTime) Source #
When the component started.
trialComponent_status :: Lens' TrialComponent (Maybe TrialComponentStatus) Source #
Undocumented member.
trialComponent_tags :: Lens' TrialComponent (Maybe [Tag]) Source #
The list of tags that are associated with the component. You can use Search API to search on the tags.
trialComponent_trialComponentArn :: Lens' TrialComponent (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial component.
trialComponent_trialComponentName :: Lens' TrialComponent (Maybe Text) Source #
The name of the trial component.
TrialComponentArtifact
trialComponentArtifact_mediaType :: Lens' TrialComponentArtifact (Maybe Text) Source #
The media type of the artifact, which indicates the type of data in the artifact file. The media type consists of a type and a subtype concatenated with a slash (/) character, for example, text/csv, image/jpeg, and s3/uri. The type specifies the category of the media. The subtype specifies the kind of data.
trialComponentArtifact_value :: Lens' TrialComponentArtifact Text Source #
The location of the artifact.
TrialComponentMetricSummary
trialComponentMetricSummary_avg :: Lens' TrialComponentMetricSummary (Maybe Double) Source #
The average value of the metric.
trialComponentMetricSummary_count :: Lens' TrialComponentMetricSummary (Maybe Int) Source #
The number of samples used to generate the metric.
trialComponentMetricSummary_last :: Lens' TrialComponentMetricSummary (Maybe Double) Source #
The most recent value of the metric.
trialComponentMetricSummary_max :: Lens' TrialComponentMetricSummary (Maybe Double) Source #
The maximum value of the metric.
trialComponentMetricSummary_metricName :: Lens' TrialComponentMetricSummary (Maybe Text) Source #
The name of the metric.
trialComponentMetricSummary_min :: Lens' TrialComponentMetricSummary (Maybe Double) Source #
The minimum value of the metric.
trialComponentMetricSummary_sourceArn :: Lens' TrialComponentMetricSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the source.
trialComponentMetricSummary_stdDev :: Lens' TrialComponentMetricSummary (Maybe Double) Source #
The standard deviation of the metric.
trialComponentMetricSummary_timeStamp :: Lens' TrialComponentMetricSummary (Maybe UTCTime) Source #
When the metric was last updated.
TrialComponentParameterValue
trialComponentParameterValue_numberValue :: Lens' TrialComponentParameterValue (Maybe Double) Source #
The numeric value of a numeric hyperparameter. If you specify a value
for this parameter, you can't specify the StringValue
parameter.
trialComponentParameterValue_stringValue :: Lens' TrialComponentParameterValue (Maybe Text) Source #
The string value of a categorical hyperparameter. If you specify a value
for this parameter, you can't specify the NumberValue
parameter.
TrialComponentSimpleSummary
trialComponentSimpleSummary_createdBy :: Lens' TrialComponentSimpleSummary (Maybe UserContext) Source #
Undocumented member.
trialComponentSimpleSummary_creationTime :: Lens' TrialComponentSimpleSummary (Maybe UTCTime) Source #
When the component was created.
trialComponentSimpleSummary_trialComponentArn :: Lens' TrialComponentSimpleSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial component.
trialComponentSimpleSummary_trialComponentName :: Lens' TrialComponentSimpleSummary (Maybe Text) Source #
The name of the trial component.
trialComponentSimpleSummary_trialComponentSource :: Lens' TrialComponentSimpleSummary (Maybe TrialComponentSource) Source #
Undocumented member.
TrialComponentSource
trialComponentSource_sourceType :: Lens' TrialComponentSource (Maybe Text) Source #
The source job type.
trialComponentSource_sourceArn :: Lens' TrialComponentSource Text Source #
The source Amazon Resource Name (ARN).
TrialComponentSourceDetail
trialComponentSourceDetail_processingJob :: Lens' TrialComponentSourceDetail (Maybe ProcessingJob) Source #
Information about a processing job that's the source of a trial component.
trialComponentSourceDetail_sourceArn :: Lens' TrialComponentSourceDetail (Maybe Text) Source #
The Amazon Resource Name (ARN) of the source.
trialComponentSourceDetail_trainingJob :: Lens' TrialComponentSourceDetail (Maybe TrainingJob) Source #
Information about a training job that's the source of a trial component.
trialComponentSourceDetail_transformJob :: Lens' TrialComponentSourceDetail (Maybe TransformJob) Source #
Information about a transform job that's the source of a trial component.
TrialComponentStatus
trialComponentStatus_message :: Lens' TrialComponentStatus (Maybe Text) Source #
If the component failed, a message describing why.
trialComponentStatus_primaryStatus :: Lens' TrialComponentStatus (Maybe TrialComponentPrimaryStatus) Source #
The status of the trial component.
TrialComponentSummary
trialComponentSummary_createdBy :: Lens' TrialComponentSummary (Maybe UserContext) Source #
Who created the trial component.
trialComponentSummary_creationTime :: Lens' TrialComponentSummary (Maybe UTCTime) Source #
When the component was created.
trialComponentSummary_displayName :: Lens' TrialComponentSummary (Maybe Text) Source #
The name of the component as displayed. If DisplayName
isn't
specified, TrialComponentName
is displayed.
trialComponentSummary_endTime :: Lens' TrialComponentSummary (Maybe UTCTime) Source #
When the component ended.
trialComponentSummary_lastModifiedBy :: Lens' TrialComponentSummary (Maybe UserContext) Source #
Who last modified the component.
trialComponentSummary_lastModifiedTime :: Lens' TrialComponentSummary (Maybe UTCTime) Source #
When the component was last modified.
trialComponentSummary_startTime :: Lens' TrialComponentSummary (Maybe UTCTime) Source #
When the component started.
trialComponentSummary_status :: Lens' TrialComponentSummary (Maybe TrialComponentStatus) Source #
The status of the component. States include:
- InProgress
- Completed
- Failed
trialComponentSummary_trialComponentArn :: Lens' TrialComponentSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial component.
trialComponentSummary_trialComponentName :: Lens' TrialComponentSummary (Maybe Text) Source #
The name of the trial component.
trialComponentSummary_trialComponentSource :: Lens' TrialComponentSummary (Maybe TrialComponentSource) Source #
Undocumented member.
TrialSource
trialSource_sourceType :: Lens' TrialSource (Maybe Text) Source #
The source job type.
trialSource_sourceArn :: Lens' TrialSource Text Source #
The Amazon Resource Name (ARN) of the source.
TrialSummary
trialSummary_creationTime :: Lens' TrialSummary (Maybe UTCTime) Source #
When the trial was created.
trialSummary_displayName :: Lens' TrialSummary (Maybe Text) Source #
The name of the trial as displayed. If DisplayName
isn't specified,
TrialName
is displayed.
trialSummary_lastModifiedTime :: Lens' TrialSummary (Maybe UTCTime) Source #
When the trial was last modified.
trialSummary_trialArn :: Lens' TrialSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the trial.
trialSummary_trialName :: Lens' TrialSummary (Maybe Text) Source #
The name of the trial.
trialSummary_trialSource :: Lens' TrialSummary (Maybe TrialSource) Source #
Undocumented member.
TuningJobCompletionCriteria
tuningJobCompletionCriteria_targetObjectiveMetricValue :: Lens' TuningJobCompletionCriteria Double Source #
The value of the objective metric.
TuningJobStepMetaData
tuningJobStepMetaData_arn :: Lens' TuningJobStepMetaData (Maybe Text) Source #
The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
USD
UiConfig
uiConfig_humanTaskUiArn :: Lens' UiConfig (Maybe Text) Source #
The ARN of the worker task template used to render the worker UI and tools for labeling job tasks.
Use this parameter when you are creating a labeling job for named entity
recognition, 3D point cloud and video frame labeling jobs. Use your
labeling job task type to select one of the following ARNs and use it
with this parameter when you create a labeling job. Replace aws-region
with the Amazon Web Services Region you are creating your labeling job
in. For example, replace aws-region
with us-west-1
if you create a
labeling job in US West (N. California).
Named Entity Recognition
Use the following HumanTaskUiArn
for named entity recognition labeling
jobs:
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/NamedEntityRecognition
3D Point Cloud HumanTaskUiArns
Use this HumanTaskUiArn
for 3D point cloud object detection and 3D
point cloud object detection adjustment labeling jobs.
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectDetection
Use this HumanTaskUiArn
for 3D point cloud object tracking and 3D
point cloud object tracking adjustment labeling jobs.
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectTracking
Use this HumanTaskUiArn
for 3D point cloud semantic segmentation and
3D point cloud semantic segmentation adjustment labeling jobs.
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudSemanticSegmentation
Video Frame HumanTaskUiArns
Use this HumanTaskUiArn
for video frame object detection and video
frame object detection adjustment labeling jobs.
arn:aws:sagemaker:region:394669845002:human-task-ui/VideoObjectDetection
Use this HumanTaskUiArn
for video frame object tracking and video
frame object tracking adjustment labeling jobs.
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/VideoObjectTracking
uiConfig_uiTemplateS3Uri :: Lens' UiConfig (Maybe Text) Source #
The Amazon S3 bucket location of the UI template, or worker task template. This is the template used to render the worker UI and tools for labeling job tasks. For more information about the contents of a UI template, see Creating Your Custom Labeling Task Template.
UiTemplate
uiTemplate_content :: Lens' UiTemplate Text Source #
The content of the Liquid template for the worker user interface.
UiTemplateInfo
uiTemplateInfo_contentSha256 :: Lens' UiTemplateInfo (Maybe Text) Source #
The SHA-256 digest of the contents of the template.
uiTemplateInfo_url :: Lens' UiTemplateInfo (Maybe Text) Source #
The URL for the user interface template.
UserContext
userContext_domainId :: Lens' UserContext (Maybe Text) Source #
The domain associated with the user.
userContext_userProfileArn :: Lens' UserContext (Maybe Text) Source #
The Amazon Resource Name (ARN) of the user's profile.
userContext_userProfileName :: Lens' UserContext (Maybe Text) Source #
The name of the user's profile.
UserProfileDetails
userProfileDetails_creationTime :: Lens' UserProfileDetails (Maybe UTCTime) Source #
The creation time.
userProfileDetails_domainId :: Lens' UserProfileDetails (Maybe Text) Source #
The domain ID.
userProfileDetails_lastModifiedTime :: Lens' UserProfileDetails (Maybe UTCTime) Source #
The last modified time.
userProfileDetails_status :: Lens' UserProfileDetails (Maybe UserProfileStatus) Source #
The status.
userProfileDetails_userProfileName :: Lens' UserProfileDetails (Maybe Text) Source #
The user profile name.
UserSettings
userSettings_canvasAppSettings :: Lens' UserSettings (Maybe CanvasAppSettings) Source #
The Canvas app settings.
userSettings_executionRole :: Lens' UserSettings (Maybe Text) Source #
The execution role for the user.
userSettings_jupyterServerAppSettings :: Lens' UserSettings (Maybe JupyterServerAppSettings) Source #
The Jupyter server's app settings.
userSettings_kernelGatewayAppSettings :: Lens' UserSettings (Maybe KernelGatewayAppSettings) Source #
The kernel gateway app settings.
userSettings_rSessionAppSettings :: Lens' UserSettings (Maybe RSessionAppSettings) Source #
A collection of settings that configure the RSessionGateway
app.
userSettings_rStudioServerProAppSettings :: Lens' UserSettings (Maybe RStudioServerProAppSettings) Source #
A collection of settings that configure user interaction with the
RStudioServerPro
app.
userSettings_securityGroups :: Lens' UserSettings (Maybe [Text]) Source #
The security groups for the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
Optional when the CreateDomain.AppNetworkAccessType
parameter is set
to PublicInternetOnly
.
Required when the CreateDomain.AppNetworkAccessType
parameter is set
to VpcOnly
.
Amazon SageMaker adds a security group to allow NFS traffic from SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.
userSettings_sharingSettings :: Lens' UserSettings (Maybe SharingSettings) Source #
Specifies options for sharing SageMaker Studio notebooks.
userSettings_tensorBoardAppSettings :: Lens' UserSettings (Maybe TensorBoardAppSettings) Source #
The TensorBoard app settings.
VariantProperty
variantProperty_variantPropertyType :: Lens' VariantProperty VariantPropertyType Source #
The type of variant property. The supported values are:
DesiredInstanceCount
: Overrides the existing variant instance counts using the ProductionVariant$InitialInstanceCount values in the CreateEndpointConfigInput$ProductionVariants.DesiredWeight
: Overrides the existing variant weights using the ProductionVariant$InitialVariantWeight values in the CreateEndpointConfigInput$ProductionVariants.DataCaptureConfig
: (Not currently supported.)
Vertex
vertex_arn :: Lens' Vertex (Maybe Text) Source #
The Amazon Resource Name (ARN) of the lineage entity resource.
vertex_lineageType :: Lens' Vertex (Maybe LineageType) Source #
The type of resource of the lineage entity.
vertex_type :: Lens' Vertex (Maybe Text) Source #
The type of the lineage entity resource. For example: DataSet
,
Model
, Endpoint
, etc...
VpcConfig
vpcConfig_securityGroupIds :: Lens' VpcConfig (NonEmpty Text) Source #
The VPC security group IDs, in the form sg-xxxxxxxx. Specify the
security groups for the VPC that is specified in the Subnets
field.
vpcConfig_subnets :: Lens' VpcConfig (NonEmpty Text) Source #
The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see Supported Instance Types and Availability Zones.
WarmPoolStatus
warmPoolStatus_resourceRetainedBillableTimeInSeconds :: Lens' WarmPoolStatus (Maybe Natural) Source #
The billable time in seconds used by the warm pool. Billable time refers to the absolute wall-clock time.
Multiply ResourceRetainedBillableTimeInSeconds
by the number of
instances (InstanceCount
) in your training cluster to get the total
compute time SageMaker bills you if you run warm pool training. The
formula is as follows:
ResourceRetainedBillableTimeInSeconds * InstanceCount
.
warmPoolStatus_reusedByJob :: Lens' WarmPoolStatus (Maybe Text) Source #
The name of the matching training job that reused the warm pool.
warmPoolStatus_status :: Lens' WarmPoolStatus WarmPoolResourceStatus Source #
The status of the warm pool.
InUse
: The warm pool is in use for the training job.Available
: The warm pool is available to reuse for a matching training job.Reused
: The warm pool moved to a matching training job for reuse.Terminated
: The warm pool is no longer available. Warm pools are unavailable if they are terminated by a user, terminated for a patch update, or terminated for exceeding the specifiedKeepAlivePeriodInSeconds
.
Workforce
workforce_cognitoConfig :: Lens' Workforce (Maybe CognitoConfig) Source #
The configuration of an Amazon Cognito workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.
workforce_createDate :: Lens' Workforce (Maybe UTCTime) Source #
The date that the workforce is created.
workforce_lastUpdatedDate :: Lens' Workforce (Maybe UTCTime) Source #
The most recent date that was used to successfully add one or more IP address ranges (CIDRs) to a private workforce's allow list.
workforce_oidcConfig :: Lens' Workforce (Maybe OidcConfigForResponse) Source #
The configuration of an OIDC Identity Provider (IdP) private workforce.
workforce_sourceIpConfig :: Lens' Workforce (Maybe SourceIpConfig) Source #
A list of one to ten IP address ranges (CIDRs) to be added to the workforce allow list. By default, a workforce isn't restricted to specific IP addresses.
workforce_status :: Lens' Workforce (Maybe WorkforceStatus) Source #
The status of your workforce.
workforce_subDomain :: Lens' Workforce (Maybe Text) Source #
The subdomain for your OIDC Identity Provider.
workforce_workforceVpcConfig :: Lens' Workforce (Maybe WorkforceVpcConfigResponse) Source #
The configuration of a VPC workforce.
workforce_workforceArn :: Lens' Workforce Text Source #
The Amazon Resource Name (ARN) of the private workforce.
WorkforceVpcConfigRequest
workforceVpcConfigRequest_securityGroupIds :: Lens' WorkforceVpcConfigRequest (Maybe (NonEmpty Text)) Source #
The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
workforceVpcConfigRequest_subnets :: Lens' WorkforceVpcConfigRequest (Maybe (NonEmpty Text)) Source #
The ID of the subnets in the VPC that you want to connect.
workforceVpcConfigRequest_vpcId :: Lens' WorkforceVpcConfigRequest (Maybe Text) Source #
The ID of the VPC that the workforce uses for communication.
WorkforceVpcConfigResponse
workforceVpcConfigResponse_vpcEndpointId :: Lens' WorkforceVpcConfigResponse (Maybe Text) Source #
The IDs for the VPC service endpoints of your VPC workforce when it is created and updated.
workforceVpcConfigResponse_vpcId :: Lens' WorkforceVpcConfigResponse Text Source #
The ID of the VPC that the workforce uses for communication.
workforceVpcConfigResponse_securityGroupIds :: Lens' WorkforceVpcConfigResponse (NonEmpty Text) Source #
The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
workforceVpcConfigResponse_subnets :: Lens' WorkforceVpcConfigResponse (NonEmpty Text) Source #
The ID of the subnets in the VPC that you want to connect.
Workteam
workteam_createDate :: Lens' Workteam (Maybe UTCTime) Source #
The date and time that the work team was created (timestamp).
workteam_lastUpdatedDate :: Lens' Workteam (Maybe UTCTime) Source #
The date and time that the work team was last updated (timestamp).
workteam_notificationConfiguration :: Lens' Workteam (Maybe NotificationConfiguration) Source #
Configures SNS notifications of available or expiring work items for work teams.
workteam_productListingIds :: Lens' Workteam (Maybe [Text]) Source #
The Amazon Marketplace identifier for a vendor's work team.
workteam_subDomain :: Lens' Workteam (Maybe Text) Source #
The URI of the labeling job's user interface. Workers open this URI to start labeling your data objects.
workteam_workforceArn :: Lens' Workteam (Maybe Text) Source #
The Amazon Resource Name (ARN) of the workforce.
workteam_memberDefinitions :: Lens' Workteam (NonEmpty MemberDefinition) Source #
A list of MemberDefinition
objects that contains objects that identify
the workers that make up the work team.
Workforces can be created using Amazon Cognito or your own OIDC Identity
Provider (IdP). For private workforces created using Amazon Cognito use
CognitoMemberDefinition
. For workforces created using your own OIDC
identity provider (IdP) use OidcMemberDefinition
.