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

Amazonka.Personalize.Types

Contents

Service Configuration
Errors
Domain
ImportMode
IngestionMode
ObjectiveSensitivity
RecipeProvider
TrainingMode
Algorithm
AlgorithmImage
AutoMLConfig
AutoMLResult
BatchInferenceJob
BatchInferenceJobConfig
BatchInferenceJobInput
BatchInferenceJobOutput
BatchInferenceJobSummary
BatchSegmentJob
BatchSegmentJobInput
BatchSegmentJobOutput
BatchSegmentJobSummary
Campaign
CampaignConfig
CampaignSummary
CampaignUpdateSummary
CategoricalHyperParameterRange
ContinuousHyperParameterRange
DataSource
Dataset
DatasetExportJob
DatasetExportJobOutput
DatasetExportJobSummary
DatasetGroup
DatasetGroupSummary
DatasetImportJob
DatasetImportJobSummary
DatasetSchema
DatasetSchemaSummary
DatasetSummary
DefaultCategoricalHyperParameterRange
DefaultContinuousHyperParameterRange
DefaultHyperParameterRanges
DefaultIntegerHyperParameterRange
EventTracker
EventTrackerSummary
FeatureTransformation
Filter
FilterSummary
HPOConfig
HPOObjective
HPOResourceConfig
HyperParameterRanges
IntegerHyperParameterRange
MetricAttribute
MetricAttribution
MetricAttributionOutput
MetricAttributionSummary
OptimizationObjective
Recipe
RecipeSummary
Recommender
RecommenderConfig
RecommenderSummary
RecommenderUpdateSummary
S3DataConfig
Solution
SolutionConfig
SolutionSummary
SolutionVersion
SolutionVersionSummary
Tag
TunedHPOParams

Description

Synopsis

defaultService :: Service
_InvalidInputException :: AsError a => Fold a ServiceError
_InvalidNextTokenException :: AsError a => Fold a ServiceError
_LimitExceededException :: AsError a => Fold a ServiceError
_ResourceAlreadyExistsException :: AsError a => Fold a ServiceError
_ResourceInUseException :: AsError a => Fold a ServiceError
_ResourceNotFoundException :: AsError a => Fold a ServiceError
_TooManyTagKeysException :: AsError a => Fold a ServiceError
_TooManyTagsException :: AsError a => Fold a ServiceError
newtype Domain where
- Domain' {
  - fromDomain :: Text
  }
- pattern Domain_ECOMMERCE :: Domain
- pattern Domain_VIDEO_ON_DEMAND :: Domain
newtype ImportMode where
- ImportMode' {
  - fromImportMode :: Text
  }
- pattern ImportMode_FULL :: ImportMode
- pattern ImportMode_INCREMENTAL :: ImportMode
newtype IngestionMode where
- IngestionMode' {
  - fromIngestionMode :: Text
  }
- pattern IngestionMode_ALL :: IngestionMode
- pattern IngestionMode_BULK :: IngestionMode
- pattern IngestionMode_PUT :: IngestionMode
newtype ObjectiveSensitivity where
- ObjectiveSensitivity' {
  - fromObjectiveSensitivity :: Text
  }
- pattern ObjectiveSensitivity_HIGH :: ObjectiveSensitivity
- pattern ObjectiveSensitivity_LOW :: ObjectiveSensitivity
- pattern ObjectiveSensitivity_MEDIUM :: ObjectiveSensitivity
- pattern ObjectiveSensitivity_OFF :: ObjectiveSensitivity
newtype RecipeProvider where
- RecipeProvider' {
  - fromRecipeProvider :: Text
  }
- pattern RecipeProvider_SERVICE :: RecipeProvider
newtype TrainingMode where
- TrainingMode' {
  - fromTrainingMode :: Text
  }
- pattern TrainingMode_FULL :: TrainingMode
- pattern TrainingMode_UPDATE :: TrainingMode
data Algorithm = Algorithm' {
- algorithmArn :: Maybe Text
- algorithmImage :: Maybe AlgorithmImage
- creationDateTime :: Maybe POSIX
- defaultHyperParameterRanges :: Maybe DefaultHyperParameterRanges
- defaultHyperParameters :: Maybe (HashMap Text Text)
- defaultResourceConfig :: Maybe (HashMap Text Text)
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- roleArn :: Maybe Text
- trainingInputMode :: Maybe Text
}
newAlgorithm :: Algorithm
algorithm_algorithmArn :: Lens' Algorithm (Maybe Text)
algorithm_algorithmImage :: Lens' Algorithm (Maybe AlgorithmImage)
algorithm_creationDateTime :: Lens' Algorithm (Maybe UTCTime)
algorithm_defaultHyperParameterRanges :: Lens' Algorithm (Maybe DefaultHyperParameterRanges)
algorithm_defaultHyperParameters :: Lens' Algorithm (Maybe (HashMap Text Text))
algorithm_defaultResourceConfig :: Lens' Algorithm (Maybe (HashMap Text Text))
algorithm_lastUpdatedDateTime :: Lens' Algorithm (Maybe UTCTime)
algorithm_name :: Lens' Algorithm (Maybe Text)
algorithm_roleArn :: Lens' Algorithm (Maybe Text)
algorithm_trainingInputMode :: Lens' Algorithm (Maybe Text)
data AlgorithmImage = AlgorithmImage' {
- name :: Maybe Text
- dockerURI :: Text
}
newAlgorithmImage :: Text -> AlgorithmImage
algorithmImage_name :: Lens' AlgorithmImage (Maybe Text)
algorithmImage_dockerURI :: Lens' AlgorithmImage Text
data AutoMLConfig = AutoMLConfig' {
- metricName :: Maybe Text
- recipeList :: Maybe [Text]
}
newAutoMLConfig :: AutoMLConfig
autoMLConfig_metricName :: Lens' AutoMLConfig (Maybe Text)
autoMLConfig_recipeList :: Lens' AutoMLConfig (Maybe [Text])
data AutoMLResult = AutoMLResult' {
- bestRecipeArn :: Maybe Text
}
newAutoMLResult :: AutoMLResult
autoMLResult_bestRecipeArn :: Lens' AutoMLResult (Maybe Text)
data BatchInferenceJob = BatchInferenceJob' {
- batchInferenceJobArn :: Maybe Text
- batchInferenceJobConfig :: Maybe BatchInferenceJobConfig
- creationDateTime :: Maybe POSIX
- failureReason :: Maybe Text
- filterArn :: Maybe Text
- jobInput :: Maybe BatchInferenceJobInput
- jobName :: Maybe Text
- jobOutput :: Maybe BatchInferenceJobOutput
- lastUpdatedDateTime :: Maybe POSIX
- numResults :: Maybe Int
- roleArn :: Maybe Text
- solutionVersionArn :: Maybe Text
- status :: Maybe Text
}
newBatchInferenceJob :: BatchInferenceJob
batchInferenceJob_batchInferenceJobArn :: Lens' BatchInferenceJob (Maybe Text)
batchInferenceJob_batchInferenceJobConfig :: Lens' BatchInferenceJob (Maybe BatchInferenceJobConfig)
batchInferenceJob_creationDateTime :: Lens' BatchInferenceJob (Maybe UTCTime)
batchInferenceJob_failureReason :: Lens' BatchInferenceJob (Maybe Text)
batchInferenceJob_filterArn :: Lens' BatchInferenceJob (Maybe Text)
batchInferenceJob_jobInput :: Lens' BatchInferenceJob (Maybe BatchInferenceJobInput)
batchInferenceJob_jobName :: Lens' BatchInferenceJob (Maybe Text)
batchInferenceJob_jobOutput :: Lens' BatchInferenceJob (Maybe BatchInferenceJobOutput)
batchInferenceJob_lastUpdatedDateTime :: Lens' BatchInferenceJob (Maybe UTCTime)
batchInferenceJob_numResults :: Lens' BatchInferenceJob (Maybe Int)
batchInferenceJob_roleArn :: Lens' BatchInferenceJob (Maybe Text)
batchInferenceJob_solutionVersionArn :: Lens' BatchInferenceJob (Maybe Text)
batchInferenceJob_status :: Lens' BatchInferenceJob (Maybe Text)
data BatchInferenceJobConfig = BatchInferenceJobConfig' {
- itemExplorationConfig :: Maybe (HashMap Text Text)
}
newBatchInferenceJobConfig :: BatchInferenceJobConfig
batchInferenceJobConfig_itemExplorationConfig :: Lens' BatchInferenceJobConfig (Maybe (HashMap Text Text))
data BatchInferenceJobInput = BatchInferenceJobInput' {
- s3DataSource :: S3DataConfig
}
newBatchInferenceJobInput :: S3DataConfig -> BatchInferenceJobInput
batchInferenceJobInput_s3DataSource :: Lens' BatchInferenceJobInput S3DataConfig
data BatchInferenceJobOutput = BatchInferenceJobOutput' {
- s3DataDestination :: S3DataConfig
}
newBatchInferenceJobOutput :: S3DataConfig -> BatchInferenceJobOutput
batchInferenceJobOutput_s3DataDestination :: Lens' BatchInferenceJobOutput S3DataConfig
data BatchInferenceJobSummary = BatchInferenceJobSummary' {
- batchInferenceJobArn :: Maybe Text
- creationDateTime :: Maybe POSIX
- failureReason :: Maybe Text
- jobName :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- solutionVersionArn :: Maybe Text
- status :: Maybe Text
}
newBatchInferenceJobSummary :: BatchInferenceJobSummary
batchInferenceJobSummary_batchInferenceJobArn :: Lens' BatchInferenceJobSummary (Maybe Text)
batchInferenceJobSummary_creationDateTime :: Lens' BatchInferenceJobSummary (Maybe UTCTime)
batchInferenceJobSummary_failureReason :: Lens' BatchInferenceJobSummary (Maybe Text)
batchInferenceJobSummary_jobName :: Lens' BatchInferenceJobSummary (Maybe Text)
batchInferenceJobSummary_lastUpdatedDateTime :: Lens' BatchInferenceJobSummary (Maybe UTCTime)
batchInferenceJobSummary_solutionVersionArn :: Lens' BatchInferenceJobSummary (Maybe Text)
batchInferenceJobSummary_status :: Lens' BatchInferenceJobSummary (Maybe Text)
data BatchSegmentJob = BatchSegmentJob' {
- batchSegmentJobArn :: Maybe Text
- creationDateTime :: Maybe POSIX
- failureReason :: Maybe Text
- filterArn :: Maybe Text
- jobInput :: Maybe BatchSegmentJobInput
- jobName :: Maybe Text
- jobOutput :: Maybe BatchSegmentJobOutput
- lastUpdatedDateTime :: Maybe POSIX
- numResults :: Maybe Int
- roleArn :: Maybe Text
- solutionVersionArn :: Maybe Text
- status :: Maybe Text
}
newBatchSegmentJob :: BatchSegmentJob
batchSegmentJob_batchSegmentJobArn :: Lens' BatchSegmentJob (Maybe Text)
batchSegmentJob_creationDateTime :: Lens' BatchSegmentJob (Maybe UTCTime)
batchSegmentJob_failureReason :: Lens' BatchSegmentJob (Maybe Text)
batchSegmentJob_filterArn :: Lens' BatchSegmentJob (Maybe Text)
batchSegmentJob_jobInput :: Lens' BatchSegmentJob (Maybe BatchSegmentJobInput)
batchSegmentJob_jobName :: Lens' BatchSegmentJob (Maybe Text)
batchSegmentJob_jobOutput :: Lens' BatchSegmentJob (Maybe BatchSegmentJobOutput)
batchSegmentJob_lastUpdatedDateTime :: Lens' BatchSegmentJob (Maybe UTCTime)
batchSegmentJob_numResults :: Lens' BatchSegmentJob (Maybe Int)
batchSegmentJob_roleArn :: Lens' BatchSegmentJob (Maybe Text)
batchSegmentJob_solutionVersionArn :: Lens' BatchSegmentJob (Maybe Text)
batchSegmentJob_status :: Lens' BatchSegmentJob (Maybe Text)
data BatchSegmentJobInput = BatchSegmentJobInput' {
- s3DataSource :: S3DataConfig
}
newBatchSegmentJobInput :: S3DataConfig -> BatchSegmentJobInput
batchSegmentJobInput_s3DataSource :: Lens' BatchSegmentJobInput S3DataConfig
data BatchSegmentJobOutput = BatchSegmentJobOutput' {
- s3DataDestination :: S3DataConfig
}
newBatchSegmentJobOutput :: S3DataConfig -> BatchSegmentJobOutput
batchSegmentJobOutput_s3DataDestination :: Lens' BatchSegmentJobOutput S3DataConfig
data BatchSegmentJobSummary = BatchSegmentJobSummary' {
- batchSegmentJobArn :: Maybe Text
- creationDateTime :: Maybe POSIX
- failureReason :: Maybe Text
- jobName :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- solutionVersionArn :: Maybe Text
- status :: Maybe Text
}
newBatchSegmentJobSummary :: BatchSegmentJobSummary
batchSegmentJobSummary_batchSegmentJobArn :: Lens' BatchSegmentJobSummary (Maybe Text)
batchSegmentJobSummary_creationDateTime :: Lens' BatchSegmentJobSummary (Maybe UTCTime)
batchSegmentJobSummary_failureReason :: Lens' BatchSegmentJobSummary (Maybe Text)
batchSegmentJobSummary_jobName :: Lens' BatchSegmentJobSummary (Maybe Text)
batchSegmentJobSummary_lastUpdatedDateTime :: Lens' BatchSegmentJobSummary (Maybe UTCTime)
batchSegmentJobSummary_solutionVersionArn :: Lens' BatchSegmentJobSummary (Maybe Text)
batchSegmentJobSummary_status :: Lens' BatchSegmentJobSummary (Maybe Text)
data Campaign = Campaign' {
- campaignArn :: Maybe Text
- campaignConfig :: Maybe CampaignConfig
- creationDateTime :: Maybe POSIX
- failureReason :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- latestCampaignUpdate :: Maybe CampaignUpdateSummary
- minProvisionedTPS :: Maybe Natural
- name :: Maybe Text
- solutionVersionArn :: Maybe Text
- status :: Maybe Text
}
newCampaign :: Campaign
campaign_campaignArn :: Lens' Campaign (Maybe Text)
campaign_campaignConfig :: Lens' Campaign (Maybe CampaignConfig)
campaign_creationDateTime :: Lens' Campaign (Maybe UTCTime)
campaign_failureReason :: Lens' Campaign (Maybe Text)
campaign_lastUpdatedDateTime :: Lens' Campaign (Maybe UTCTime)
campaign_latestCampaignUpdate :: Lens' Campaign (Maybe CampaignUpdateSummary)
campaign_minProvisionedTPS :: Lens' Campaign (Maybe Natural)
campaign_name :: Lens' Campaign (Maybe Text)
campaign_solutionVersionArn :: Lens' Campaign (Maybe Text)
campaign_status :: Lens' Campaign (Maybe Text)
data CampaignConfig = CampaignConfig' {
- itemExplorationConfig :: Maybe (HashMap Text Text)
}
newCampaignConfig :: CampaignConfig
campaignConfig_itemExplorationConfig :: Lens' CampaignConfig (Maybe (HashMap Text Text))
data CampaignSummary = CampaignSummary' {
- campaignArn :: Maybe Text
- creationDateTime :: Maybe POSIX
- failureReason :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- status :: Maybe Text
}
newCampaignSummary :: CampaignSummary
campaignSummary_campaignArn :: Lens' CampaignSummary (Maybe Text)
campaignSummary_creationDateTime :: Lens' CampaignSummary (Maybe UTCTime)
campaignSummary_failureReason :: Lens' CampaignSummary (Maybe Text)
campaignSummary_lastUpdatedDateTime :: Lens' CampaignSummary (Maybe UTCTime)
campaignSummary_name :: Lens' CampaignSummary (Maybe Text)
campaignSummary_status :: Lens' CampaignSummary (Maybe Text)
data CampaignUpdateSummary = CampaignUpdateSummary' {
- campaignConfig :: Maybe CampaignConfig
- creationDateTime :: Maybe POSIX
- failureReason :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- minProvisionedTPS :: Maybe Natural
- solutionVersionArn :: Maybe Text
- status :: Maybe Text
}
newCampaignUpdateSummary :: CampaignUpdateSummary
campaignUpdateSummary_campaignConfig :: Lens' CampaignUpdateSummary (Maybe CampaignConfig)
campaignUpdateSummary_creationDateTime :: Lens' CampaignUpdateSummary (Maybe UTCTime)
campaignUpdateSummary_failureReason :: Lens' CampaignUpdateSummary (Maybe Text)
campaignUpdateSummary_lastUpdatedDateTime :: Lens' CampaignUpdateSummary (Maybe UTCTime)
campaignUpdateSummary_minProvisionedTPS :: Lens' CampaignUpdateSummary (Maybe Natural)
campaignUpdateSummary_solutionVersionArn :: Lens' CampaignUpdateSummary (Maybe Text)
campaignUpdateSummary_status :: Lens' CampaignUpdateSummary (Maybe Text)
data CategoricalHyperParameterRange = CategoricalHyperParameterRange' {
- name :: Maybe Text
- values :: Maybe [Text]
}
newCategoricalHyperParameterRange :: CategoricalHyperParameterRange
categoricalHyperParameterRange_name :: Lens' CategoricalHyperParameterRange (Maybe Text)
categoricalHyperParameterRange_values :: Lens' CategoricalHyperParameterRange (Maybe [Text])
data ContinuousHyperParameterRange = ContinuousHyperParameterRange' {
- maxValue :: Maybe Double
- minValue :: Maybe Double
- name :: Maybe Text
}
newContinuousHyperParameterRange :: ContinuousHyperParameterRange
continuousHyperParameterRange_maxValue :: Lens' ContinuousHyperParameterRange (Maybe Double)
continuousHyperParameterRange_minValue :: Lens' ContinuousHyperParameterRange (Maybe Double)
continuousHyperParameterRange_name :: Lens' ContinuousHyperParameterRange (Maybe Text)
data DataSource = DataSource' {
- dataLocation :: Maybe Text
}
newDataSource :: DataSource
dataSource_dataLocation :: Lens' DataSource (Maybe Text)
data Dataset = Dataset' {
- creationDateTime :: Maybe POSIX
- datasetArn :: Maybe Text
- datasetGroupArn :: Maybe Text
- datasetType :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- schemaArn :: Maybe Text
- status :: Maybe Text
}
newDataset :: Dataset
dataset_creationDateTime :: Lens' Dataset (Maybe UTCTime)
dataset_datasetArn :: Lens' Dataset (Maybe Text)
dataset_datasetGroupArn :: Lens' Dataset (Maybe Text)
dataset_datasetType :: Lens' Dataset (Maybe Text)
dataset_lastUpdatedDateTime :: Lens' Dataset (Maybe UTCTime)
dataset_name :: Lens' Dataset (Maybe Text)
dataset_schemaArn :: Lens' Dataset (Maybe Text)
dataset_status :: Lens' Dataset (Maybe Text)
data DatasetExportJob = DatasetExportJob' {
- creationDateTime :: Maybe POSIX
- datasetArn :: Maybe Text
- datasetExportJobArn :: Maybe Text
- failureReason :: Maybe Text
- ingestionMode :: Maybe IngestionMode
- jobName :: Maybe Text
- jobOutput :: Maybe DatasetExportJobOutput
- lastUpdatedDateTime :: Maybe POSIX
- roleArn :: Maybe Text
- status :: Maybe Text
}
newDatasetExportJob :: DatasetExportJob
datasetExportJob_creationDateTime :: Lens' DatasetExportJob (Maybe UTCTime)
datasetExportJob_datasetArn :: Lens' DatasetExportJob (Maybe Text)
datasetExportJob_datasetExportJobArn :: Lens' DatasetExportJob (Maybe Text)
datasetExportJob_failureReason :: Lens' DatasetExportJob (Maybe Text)
datasetExportJob_ingestionMode :: Lens' DatasetExportJob (Maybe IngestionMode)
datasetExportJob_jobName :: Lens' DatasetExportJob (Maybe Text)
datasetExportJob_jobOutput :: Lens' DatasetExportJob (Maybe DatasetExportJobOutput)
datasetExportJob_lastUpdatedDateTime :: Lens' DatasetExportJob (Maybe UTCTime)
datasetExportJob_roleArn :: Lens' DatasetExportJob (Maybe Text)
datasetExportJob_status :: Lens' DatasetExportJob (Maybe Text)
data DatasetExportJobOutput = DatasetExportJobOutput' {
- s3DataDestination :: S3DataConfig
}
newDatasetExportJobOutput :: S3DataConfig -> DatasetExportJobOutput
datasetExportJobOutput_s3DataDestination :: Lens' DatasetExportJobOutput S3DataConfig
data DatasetExportJobSummary = DatasetExportJobSummary' {
- creationDateTime :: Maybe POSIX
- datasetExportJobArn :: Maybe Text
- failureReason :: Maybe Text
- jobName :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- status :: Maybe Text
}
newDatasetExportJobSummary :: DatasetExportJobSummary
datasetExportJobSummary_creationDateTime :: Lens' DatasetExportJobSummary (Maybe UTCTime)
datasetExportJobSummary_datasetExportJobArn :: Lens' DatasetExportJobSummary (Maybe Text)
datasetExportJobSummary_failureReason :: Lens' DatasetExportJobSummary (Maybe Text)
datasetExportJobSummary_jobName :: Lens' DatasetExportJobSummary (Maybe Text)
datasetExportJobSummary_lastUpdatedDateTime :: Lens' DatasetExportJobSummary (Maybe UTCTime)
datasetExportJobSummary_status :: Lens' DatasetExportJobSummary (Maybe Text)
data DatasetGroup = DatasetGroup' {
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- domain :: Maybe Domain
- failureReason :: Maybe Text
- kmsKeyArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- roleArn :: Maybe Text
- status :: Maybe Text
}
newDatasetGroup :: DatasetGroup
datasetGroup_creationDateTime :: Lens' DatasetGroup (Maybe UTCTime)
datasetGroup_datasetGroupArn :: Lens' DatasetGroup (Maybe Text)
datasetGroup_domain :: Lens' DatasetGroup (Maybe Domain)
datasetGroup_failureReason :: Lens' DatasetGroup (Maybe Text)
datasetGroup_kmsKeyArn :: Lens' DatasetGroup (Maybe Text)
datasetGroup_lastUpdatedDateTime :: Lens' DatasetGroup (Maybe UTCTime)
datasetGroup_name :: Lens' DatasetGroup (Maybe Text)
datasetGroup_roleArn :: Lens' DatasetGroup (Maybe Text)
datasetGroup_status :: Lens' DatasetGroup (Maybe Text)
data DatasetGroupSummary = DatasetGroupSummary' {
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- domain :: Maybe Domain
- failureReason :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- status :: Maybe Text
}
newDatasetGroupSummary :: DatasetGroupSummary
datasetGroupSummary_creationDateTime :: Lens' DatasetGroupSummary (Maybe UTCTime)
datasetGroupSummary_datasetGroupArn :: Lens' DatasetGroupSummary (Maybe Text)
datasetGroupSummary_domain :: Lens' DatasetGroupSummary (Maybe Domain)
datasetGroupSummary_failureReason :: Lens' DatasetGroupSummary (Maybe Text)
datasetGroupSummary_lastUpdatedDateTime :: Lens' DatasetGroupSummary (Maybe UTCTime)
datasetGroupSummary_name :: Lens' DatasetGroupSummary (Maybe Text)
datasetGroupSummary_status :: Lens' DatasetGroupSummary (Maybe Text)
data DatasetImportJob = DatasetImportJob' {
- creationDateTime :: Maybe POSIX
- dataSource :: Maybe DataSource
- datasetArn :: Maybe Text
- datasetImportJobArn :: Maybe Text
- failureReason :: Maybe Text
- importMode :: Maybe ImportMode
- jobName :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- publishAttributionMetricsToS3 :: Maybe Bool
- roleArn :: Maybe Text
- status :: Maybe Text
}
newDatasetImportJob :: DatasetImportJob
datasetImportJob_creationDateTime :: Lens' DatasetImportJob (Maybe UTCTime)
datasetImportJob_dataSource :: Lens' DatasetImportJob (Maybe DataSource)
datasetImportJob_datasetArn :: Lens' DatasetImportJob (Maybe Text)
datasetImportJob_datasetImportJobArn :: Lens' DatasetImportJob (Maybe Text)
datasetImportJob_failureReason :: Lens' DatasetImportJob (Maybe Text)
datasetImportJob_importMode :: Lens' DatasetImportJob (Maybe ImportMode)
datasetImportJob_jobName :: Lens' DatasetImportJob (Maybe Text)
datasetImportJob_lastUpdatedDateTime :: Lens' DatasetImportJob (Maybe UTCTime)
datasetImportJob_publishAttributionMetricsToS3 :: Lens' DatasetImportJob (Maybe Bool)
datasetImportJob_roleArn :: Lens' DatasetImportJob (Maybe Text)
datasetImportJob_status :: Lens' DatasetImportJob (Maybe Text)
data DatasetImportJobSummary = DatasetImportJobSummary' {
- creationDateTime :: Maybe POSIX
- datasetImportJobArn :: Maybe Text
- failureReason :: Maybe Text
- importMode :: Maybe ImportMode
- jobName :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- status :: Maybe Text
}
newDatasetImportJobSummary :: DatasetImportJobSummary
datasetImportJobSummary_creationDateTime :: Lens' DatasetImportJobSummary (Maybe UTCTime)
datasetImportJobSummary_datasetImportJobArn :: Lens' DatasetImportJobSummary (Maybe Text)
datasetImportJobSummary_failureReason :: Lens' DatasetImportJobSummary (Maybe Text)
datasetImportJobSummary_importMode :: Lens' DatasetImportJobSummary (Maybe ImportMode)
datasetImportJobSummary_jobName :: Lens' DatasetImportJobSummary (Maybe Text)
datasetImportJobSummary_lastUpdatedDateTime :: Lens' DatasetImportJobSummary (Maybe UTCTime)
datasetImportJobSummary_status :: Lens' DatasetImportJobSummary (Maybe Text)
data DatasetSchema = DatasetSchema' {
- creationDateTime :: Maybe POSIX
- domain :: Maybe Domain
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- schema :: Maybe Text
- schemaArn :: Maybe Text
}
newDatasetSchema :: DatasetSchema
datasetSchema_creationDateTime :: Lens' DatasetSchema (Maybe UTCTime)
datasetSchema_domain :: Lens' DatasetSchema (Maybe Domain)
datasetSchema_lastUpdatedDateTime :: Lens' DatasetSchema (Maybe UTCTime)
datasetSchema_name :: Lens' DatasetSchema (Maybe Text)
datasetSchema_schema :: Lens' DatasetSchema (Maybe Text)
datasetSchema_schemaArn :: Lens' DatasetSchema (Maybe Text)
data DatasetSchemaSummary = DatasetSchemaSummary' {
- creationDateTime :: Maybe POSIX
- domain :: Maybe Domain
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- schemaArn :: Maybe Text
}
newDatasetSchemaSummary :: DatasetSchemaSummary
datasetSchemaSummary_creationDateTime :: Lens' DatasetSchemaSummary (Maybe UTCTime)
datasetSchemaSummary_domain :: Lens' DatasetSchemaSummary (Maybe Domain)
datasetSchemaSummary_lastUpdatedDateTime :: Lens' DatasetSchemaSummary (Maybe UTCTime)
datasetSchemaSummary_name :: Lens' DatasetSchemaSummary (Maybe Text)
datasetSchemaSummary_schemaArn :: Lens' DatasetSchemaSummary (Maybe Text)
data DatasetSummary = DatasetSummary' {
- creationDateTime :: Maybe POSIX
- datasetArn :: Maybe Text
- datasetType :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- status :: Maybe Text
}
newDatasetSummary :: DatasetSummary
datasetSummary_creationDateTime :: Lens' DatasetSummary (Maybe UTCTime)
datasetSummary_datasetArn :: Lens' DatasetSummary (Maybe Text)
datasetSummary_datasetType :: Lens' DatasetSummary (Maybe Text)
datasetSummary_lastUpdatedDateTime :: Lens' DatasetSummary (Maybe UTCTime)
datasetSummary_name :: Lens' DatasetSummary (Maybe Text)
datasetSummary_status :: Lens' DatasetSummary (Maybe Text)
data DefaultCategoricalHyperParameterRange = DefaultCategoricalHyperParameterRange' {
- isTunable :: Maybe Bool
- name :: Maybe Text
- values :: Maybe [Text]
}
newDefaultCategoricalHyperParameterRange :: DefaultCategoricalHyperParameterRange
defaultCategoricalHyperParameterRange_isTunable :: Lens' DefaultCategoricalHyperParameterRange (Maybe Bool)
defaultCategoricalHyperParameterRange_name :: Lens' DefaultCategoricalHyperParameterRange (Maybe Text)
defaultCategoricalHyperParameterRange_values :: Lens' DefaultCategoricalHyperParameterRange (Maybe [Text])
data DefaultContinuousHyperParameterRange = DefaultContinuousHyperParameterRange' {
- isTunable :: Maybe Bool
- maxValue :: Maybe Double
- minValue :: Maybe Double
- name :: Maybe Text
}
newDefaultContinuousHyperParameterRange :: DefaultContinuousHyperParameterRange
defaultContinuousHyperParameterRange_isTunable :: Lens' DefaultContinuousHyperParameterRange (Maybe Bool)
defaultContinuousHyperParameterRange_maxValue :: Lens' DefaultContinuousHyperParameterRange (Maybe Double)
defaultContinuousHyperParameterRange_minValue :: Lens' DefaultContinuousHyperParameterRange (Maybe Double)
defaultContinuousHyperParameterRange_name :: Lens' DefaultContinuousHyperParameterRange (Maybe Text)
data DefaultHyperParameterRanges = DefaultHyperParameterRanges' {
- categoricalHyperParameterRanges :: Maybe [DefaultCategoricalHyperParameterRange]
- continuousHyperParameterRanges :: Maybe [DefaultContinuousHyperParameterRange]
- integerHyperParameterRanges :: Maybe [DefaultIntegerHyperParameterRange]
}
newDefaultHyperParameterRanges :: DefaultHyperParameterRanges
defaultHyperParameterRanges_categoricalHyperParameterRanges :: Lens' DefaultHyperParameterRanges (Maybe [DefaultCategoricalHyperParameterRange])
defaultHyperParameterRanges_continuousHyperParameterRanges :: Lens' DefaultHyperParameterRanges (Maybe [DefaultContinuousHyperParameterRange])
defaultHyperParameterRanges_integerHyperParameterRanges :: Lens' DefaultHyperParameterRanges (Maybe [DefaultIntegerHyperParameterRange])
data DefaultIntegerHyperParameterRange = DefaultIntegerHyperParameterRange' {
- isTunable :: Maybe Bool
- maxValue :: Maybe Int
- minValue :: Maybe Int
- name :: Maybe Text
}
newDefaultIntegerHyperParameterRange :: DefaultIntegerHyperParameterRange
defaultIntegerHyperParameterRange_isTunable :: Lens' DefaultIntegerHyperParameterRange (Maybe Bool)
defaultIntegerHyperParameterRange_maxValue :: Lens' DefaultIntegerHyperParameterRange (Maybe Int)
defaultIntegerHyperParameterRange_minValue :: Lens' DefaultIntegerHyperParameterRange (Maybe Int)
defaultIntegerHyperParameterRange_name :: Lens' DefaultIntegerHyperParameterRange (Maybe Text)
data EventTracker = EventTracker' {
- accountId :: Maybe Text
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- eventTrackerArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- status :: Maybe Text
- trackingId :: Maybe Text
}
newEventTracker :: EventTracker
eventTracker_accountId :: Lens' EventTracker (Maybe Text)
eventTracker_creationDateTime :: Lens' EventTracker (Maybe UTCTime)
eventTracker_datasetGroupArn :: Lens' EventTracker (Maybe Text)
eventTracker_eventTrackerArn :: Lens' EventTracker (Maybe Text)
eventTracker_lastUpdatedDateTime :: Lens' EventTracker (Maybe UTCTime)
eventTracker_name :: Lens' EventTracker (Maybe Text)
eventTracker_status :: Lens' EventTracker (Maybe Text)
eventTracker_trackingId :: Lens' EventTracker (Maybe Text)
data EventTrackerSummary = EventTrackerSummary' {
- creationDateTime :: Maybe POSIX
- eventTrackerArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- status :: Maybe Text
}
newEventTrackerSummary :: EventTrackerSummary
eventTrackerSummary_creationDateTime :: Lens' EventTrackerSummary (Maybe UTCTime)
eventTrackerSummary_eventTrackerArn :: Lens' EventTrackerSummary (Maybe Text)
eventTrackerSummary_lastUpdatedDateTime :: Lens' EventTrackerSummary (Maybe UTCTime)
eventTrackerSummary_name :: Lens' EventTrackerSummary (Maybe Text)
eventTrackerSummary_status :: Lens' EventTrackerSummary (Maybe Text)
data FeatureTransformation = FeatureTransformation' {
- creationDateTime :: Maybe POSIX
- defaultParameters :: Maybe (HashMap Text Text)
- featureTransformationArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- status :: Maybe Text
}
newFeatureTransformation :: FeatureTransformation
featureTransformation_creationDateTime :: Lens' FeatureTransformation (Maybe UTCTime)
featureTransformation_defaultParameters :: Lens' FeatureTransformation (Maybe (HashMap Text Text))
featureTransformation_featureTransformationArn :: Lens' FeatureTransformation (Maybe Text)
featureTransformation_lastUpdatedDateTime :: Lens' FeatureTransformation (Maybe UTCTime)
featureTransformation_name :: Lens' FeatureTransformation (Maybe Text)
featureTransformation_status :: Lens' FeatureTransformation (Maybe Text)
data Filter = Filter' {
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- failureReason :: Maybe Text
- filterArn :: Maybe Text
- filterExpression :: Maybe (Sensitive Text)
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- status :: Maybe Text
}
newFilter :: Filter
filter_creationDateTime :: Lens' Filter (Maybe UTCTime)
filter_datasetGroupArn :: Lens' Filter (Maybe Text)
filter_failureReason :: Lens' Filter (Maybe Text)
filter_filterArn :: Lens' Filter (Maybe Text)
filter_filterExpression :: Lens' Filter (Maybe Text)
filter_lastUpdatedDateTime :: Lens' Filter (Maybe UTCTime)
filter_name :: Lens' Filter (Maybe Text)
filter_status :: Lens' Filter (Maybe Text)
data FilterSummary = FilterSummary' {
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- failureReason :: Maybe Text
- filterArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- status :: Maybe Text
}
newFilterSummary :: FilterSummary
filterSummary_creationDateTime :: Lens' FilterSummary (Maybe UTCTime)
filterSummary_datasetGroupArn :: Lens' FilterSummary (Maybe Text)
filterSummary_failureReason :: Lens' FilterSummary (Maybe Text)
filterSummary_filterArn :: Lens' FilterSummary (Maybe Text)
filterSummary_lastUpdatedDateTime :: Lens' FilterSummary (Maybe UTCTime)
filterSummary_name :: Lens' FilterSummary (Maybe Text)
filterSummary_status :: Lens' FilterSummary (Maybe Text)
data HPOConfig = HPOConfig' {
- algorithmHyperParameterRanges :: Maybe HyperParameterRanges
- hpoObjective :: Maybe HPOObjective
- hpoResourceConfig :: Maybe HPOResourceConfig
}
newHPOConfig :: HPOConfig
hPOConfig_algorithmHyperParameterRanges :: Lens' HPOConfig (Maybe HyperParameterRanges)
hPOConfig_hpoObjective :: Lens' HPOConfig (Maybe HPOObjective)
hPOConfig_hpoResourceConfig :: Lens' HPOConfig (Maybe HPOResourceConfig)
data HPOObjective = HPOObjective' {
- metricName :: Maybe Text
- metricRegex :: Maybe Text
- type' :: Maybe Text
}
newHPOObjective :: HPOObjective
hPOObjective_metricName :: Lens' HPOObjective (Maybe Text)
hPOObjective_metricRegex :: Lens' HPOObjective (Maybe Text)
hPOObjective_type :: Lens' HPOObjective (Maybe Text)
data HPOResourceConfig = HPOResourceConfig' {
- maxNumberOfTrainingJobs :: Maybe Text
- maxParallelTrainingJobs :: Maybe Text
}
newHPOResourceConfig :: HPOResourceConfig
hPOResourceConfig_maxNumberOfTrainingJobs :: Lens' HPOResourceConfig (Maybe Text)
hPOResourceConfig_maxParallelTrainingJobs :: Lens' HPOResourceConfig (Maybe Text)
data HyperParameterRanges = HyperParameterRanges' {
- categoricalHyperParameterRanges :: Maybe [CategoricalHyperParameterRange]
- continuousHyperParameterRanges :: Maybe [ContinuousHyperParameterRange]
- integerHyperParameterRanges :: Maybe [IntegerHyperParameterRange]
}
newHyperParameterRanges :: HyperParameterRanges
hyperParameterRanges_categoricalHyperParameterRanges :: Lens' HyperParameterRanges (Maybe [CategoricalHyperParameterRange])
hyperParameterRanges_continuousHyperParameterRanges :: Lens' HyperParameterRanges (Maybe [ContinuousHyperParameterRange])
hyperParameterRanges_integerHyperParameterRanges :: Lens' HyperParameterRanges (Maybe [IntegerHyperParameterRange])
data IntegerHyperParameterRange = IntegerHyperParameterRange' {
- maxValue :: Maybe Int
- minValue :: Maybe Int
- name :: Maybe Text
}
newIntegerHyperParameterRange :: IntegerHyperParameterRange
integerHyperParameterRange_maxValue :: Lens' IntegerHyperParameterRange (Maybe Int)
integerHyperParameterRange_minValue :: Lens' IntegerHyperParameterRange (Maybe Int)
integerHyperParameterRange_name :: Lens' IntegerHyperParameterRange (Maybe Text)
data MetricAttribute = MetricAttribute' {
- eventType :: Text
- metricName :: Text
- expression :: Text
}
newMetricAttribute :: Text -> Text -> Text -> MetricAttribute
metricAttribute_eventType :: Lens' MetricAttribute Text
metricAttribute_metricName :: Lens' MetricAttribute Text
metricAttribute_expression :: Lens' MetricAttribute Text
data MetricAttribution = MetricAttribution' {
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- failureReason :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- metricAttributionArn :: Maybe Text
- metricsOutputConfig :: Maybe MetricAttributionOutput
- name :: Maybe Text
- status :: Maybe Text
}
newMetricAttribution :: MetricAttribution
metricAttribution_creationDateTime :: Lens' MetricAttribution (Maybe UTCTime)
metricAttribution_datasetGroupArn :: Lens' MetricAttribution (Maybe Text)
metricAttribution_failureReason :: Lens' MetricAttribution (Maybe Text)
metricAttribution_lastUpdatedDateTime :: Lens' MetricAttribution (Maybe UTCTime)
metricAttribution_metricAttributionArn :: Lens' MetricAttribution (Maybe Text)
metricAttribution_metricsOutputConfig :: Lens' MetricAttribution (Maybe MetricAttributionOutput)
metricAttribution_name :: Lens' MetricAttribution (Maybe Text)
metricAttribution_status :: Lens' MetricAttribution (Maybe Text)
data MetricAttributionOutput = MetricAttributionOutput' {
- s3DataDestination :: Maybe S3DataConfig
- roleArn :: Text
}
newMetricAttributionOutput :: Text -> MetricAttributionOutput
metricAttributionOutput_s3DataDestination :: Lens' MetricAttributionOutput (Maybe S3DataConfig)
metricAttributionOutput_roleArn :: Lens' MetricAttributionOutput Text
data MetricAttributionSummary = MetricAttributionSummary' {
- creationDateTime :: Maybe POSIX
- failureReason :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- metricAttributionArn :: Maybe Text
- name :: Maybe Text
- status :: Maybe Text
}
newMetricAttributionSummary :: MetricAttributionSummary
metricAttributionSummary_creationDateTime :: Lens' MetricAttributionSummary (Maybe UTCTime)
metricAttributionSummary_failureReason :: Lens' MetricAttributionSummary (Maybe Text)
metricAttributionSummary_lastUpdatedDateTime :: Lens' MetricAttributionSummary (Maybe UTCTime)
metricAttributionSummary_metricAttributionArn :: Lens' MetricAttributionSummary (Maybe Text)
metricAttributionSummary_name :: Lens' MetricAttributionSummary (Maybe Text)
metricAttributionSummary_status :: Lens' MetricAttributionSummary (Maybe Text)
data OptimizationObjective = OptimizationObjective' {
- itemAttribute :: Maybe Text
- objectiveSensitivity :: Maybe ObjectiveSensitivity
}
newOptimizationObjective :: OptimizationObjective
optimizationObjective_itemAttribute :: Lens' OptimizationObjective (Maybe Text)
optimizationObjective_objectiveSensitivity :: Lens' OptimizationObjective (Maybe ObjectiveSensitivity)
data Recipe = Recipe' {
- algorithmArn :: Maybe Text
- creationDateTime :: Maybe POSIX
- description :: Maybe Text
- featureTransformationArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- recipeArn :: Maybe Text
- recipeType :: Maybe Text
- status :: Maybe Text
}
newRecipe :: Recipe
recipe_algorithmArn :: Lens' Recipe (Maybe Text)
recipe_creationDateTime :: Lens' Recipe (Maybe UTCTime)
recipe_description :: Lens' Recipe (Maybe Text)
recipe_featureTransformationArn :: Lens' Recipe (Maybe Text)
recipe_lastUpdatedDateTime :: Lens' Recipe (Maybe UTCTime)
recipe_name :: Lens' Recipe (Maybe Text)
recipe_recipeArn :: Lens' Recipe (Maybe Text)
recipe_recipeType :: Lens' Recipe (Maybe Text)
recipe_status :: Lens' Recipe (Maybe Text)
data RecipeSummary = RecipeSummary' {
- creationDateTime :: Maybe POSIX
- domain :: Maybe Domain
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- recipeArn :: Maybe Text
- status :: Maybe Text
}
newRecipeSummary :: RecipeSummary
recipeSummary_creationDateTime :: Lens' RecipeSummary (Maybe UTCTime)
recipeSummary_domain :: Lens' RecipeSummary (Maybe Domain)
recipeSummary_lastUpdatedDateTime :: Lens' RecipeSummary (Maybe UTCTime)
recipeSummary_name :: Lens' RecipeSummary (Maybe Text)
recipeSummary_recipeArn :: Lens' RecipeSummary (Maybe Text)
recipeSummary_status :: Lens' RecipeSummary (Maybe Text)
data Recommender = Recommender' {
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- failureReason :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- latestRecommenderUpdate :: Maybe RecommenderUpdateSummary
- modelMetrics :: Maybe (HashMap Text Double)
- name :: Maybe Text
- recipeArn :: Maybe Text
- recommenderArn :: Maybe Text
- recommenderConfig :: Maybe RecommenderConfig
- status :: Maybe Text
}
newRecommender :: Recommender
recommender_creationDateTime :: Lens' Recommender (Maybe UTCTime)
recommender_datasetGroupArn :: Lens' Recommender (Maybe Text)
recommender_failureReason :: Lens' Recommender (Maybe Text)
recommender_lastUpdatedDateTime :: Lens' Recommender (Maybe UTCTime)
recommender_latestRecommenderUpdate :: Lens' Recommender (Maybe RecommenderUpdateSummary)
recommender_modelMetrics :: Lens' Recommender (Maybe (HashMap Text Double))
recommender_name :: Lens' Recommender (Maybe Text)
recommender_recipeArn :: Lens' Recommender (Maybe Text)
recommender_recommenderArn :: Lens' Recommender (Maybe Text)
recommender_recommenderConfig :: Lens' Recommender (Maybe RecommenderConfig)
recommender_status :: Lens' Recommender (Maybe Text)
data RecommenderConfig = RecommenderConfig' {
- itemExplorationConfig :: Maybe (HashMap Text Text)
- minRecommendationRequestsPerSecond :: Maybe Natural
}
newRecommenderConfig :: RecommenderConfig
recommenderConfig_itemExplorationConfig :: Lens' RecommenderConfig (Maybe (HashMap Text Text))
recommenderConfig_minRecommendationRequestsPerSecond :: Lens' RecommenderConfig (Maybe Natural)
data RecommenderSummary = RecommenderSummary' {
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- recipeArn :: Maybe Text
- recommenderArn :: Maybe Text
- recommenderConfig :: Maybe RecommenderConfig
- status :: Maybe Text
}
newRecommenderSummary :: RecommenderSummary
recommenderSummary_creationDateTime :: Lens' RecommenderSummary (Maybe UTCTime)
recommenderSummary_datasetGroupArn :: Lens' RecommenderSummary (Maybe Text)
recommenderSummary_lastUpdatedDateTime :: Lens' RecommenderSummary (Maybe UTCTime)
recommenderSummary_name :: Lens' RecommenderSummary (Maybe Text)
recommenderSummary_recipeArn :: Lens' RecommenderSummary (Maybe Text)
recommenderSummary_recommenderArn :: Lens' RecommenderSummary (Maybe Text)
recommenderSummary_recommenderConfig :: Lens' RecommenderSummary (Maybe RecommenderConfig)
recommenderSummary_status :: Lens' RecommenderSummary (Maybe Text)
data RecommenderUpdateSummary = RecommenderUpdateSummary' {
- creationDateTime :: Maybe POSIX
- failureReason :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- recommenderConfig :: Maybe RecommenderConfig
- status :: Maybe Text
}
newRecommenderUpdateSummary :: RecommenderUpdateSummary
recommenderUpdateSummary_creationDateTime :: Lens' RecommenderUpdateSummary (Maybe UTCTime)
recommenderUpdateSummary_failureReason :: Lens' RecommenderUpdateSummary (Maybe Text)
recommenderUpdateSummary_lastUpdatedDateTime :: Lens' RecommenderUpdateSummary (Maybe UTCTime)
recommenderUpdateSummary_recommenderConfig :: Lens' RecommenderUpdateSummary (Maybe RecommenderConfig)
recommenderUpdateSummary_status :: Lens' RecommenderUpdateSummary (Maybe Text)
data S3DataConfig = S3DataConfig' {
- kmsKeyArn :: Maybe Text
- path :: Text
}
newS3DataConfig :: Text -> S3DataConfig
s3DataConfig_kmsKeyArn :: Lens' S3DataConfig (Maybe Text)
s3DataConfig_path :: Lens' S3DataConfig Text
data Solution = Solution' {
- autoMLResult :: Maybe AutoMLResult
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- eventType :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- latestSolutionVersion :: Maybe SolutionVersionSummary
- name :: Maybe Text
- performAutoML :: Maybe Bool
- performHPO :: Maybe Bool
- recipeArn :: Maybe Text
- solutionArn :: Maybe Text
- solutionConfig :: Maybe SolutionConfig
- status :: Maybe Text
}
newSolution :: Solution
solution_autoMLResult :: Lens' Solution (Maybe AutoMLResult)
solution_creationDateTime :: Lens' Solution (Maybe UTCTime)
solution_datasetGroupArn :: Lens' Solution (Maybe Text)
solution_eventType :: Lens' Solution (Maybe Text)
solution_lastUpdatedDateTime :: Lens' Solution (Maybe UTCTime)
solution_latestSolutionVersion :: Lens' Solution (Maybe SolutionVersionSummary)
solution_name :: Lens' Solution (Maybe Text)
solution_performAutoML :: Lens' Solution (Maybe Bool)
solution_performHPO :: Lens' Solution (Maybe Bool)
solution_recipeArn :: Lens' Solution (Maybe Text)
solution_solutionArn :: Lens' Solution (Maybe Text)
solution_solutionConfig :: Lens' Solution (Maybe SolutionConfig)
solution_status :: Lens' Solution (Maybe Text)
data SolutionConfig = SolutionConfig' {
- algorithmHyperParameters :: Maybe (HashMap Text Text)
- autoMLConfig :: Maybe AutoMLConfig
- eventValueThreshold :: Maybe Text
- featureTransformationParameters :: Maybe (HashMap Text Text)
- hpoConfig :: Maybe HPOConfig
- optimizationObjective :: Maybe OptimizationObjective
}
newSolutionConfig :: SolutionConfig
solutionConfig_algorithmHyperParameters :: Lens' SolutionConfig (Maybe (HashMap Text Text))
solutionConfig_autoMLConfig :: Lens' SolutionConfig (Maybe AutoMLConfig)
solutionConfig_eventValueThreshold :: Lens' SolutionConfig (Maybe Text)
solutionConfig_featureTransformationParameters :: Lens' SolutionConfig (Maybe (HashMap Text Text))
solutionConfig_hpoConfig :: Lens' SolutionConfig (Maybe HPOConfig)
solutionConfig_optimizationObjective :: Lens' SolutionConfig (Maybe OptimizationObjective)
data SolutionSummary = SolutionSummary' {
- creationDateTime :: Maybe POSIX
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- recipeArn :: Maybe Text
- solutionArn :: Maybe Text
- status :: Maybe Text
}
newSolutionSummary :: SolutionSummary
solutionSummary_creationDateTime :: Lens' SolutionSummary (Maybe UTCTime)
solutionSummary_lastUpdatedDateTime :: Lens' SolutionSummary (Maybe UTCTime)
solutionSummary_name :: Lens' SolutionSummary (Maybe Text)
solutionSummary_recipeArn :: Lens' SolutionSummary (Maybe Text)
solutionSummary_solutionArn :: Lens' SolutionSummary (Maybe Text)
solutionSummary_status :: Lens' SolutionSummary (Maybe Text)
data SolutionVersion = SolutionVersion' {
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- eventType :: Maybe Text
- failureReason :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- performAutoML :: Maybe Bool
- performHPO :: Maybe Bool
- recipeArn :: Maybe Text
- solutionArn :: Maybe Text
- solutionConfig :: Maybe SolutionConfig
- solutionVersionArn :: Maybe Text
- status :: Maybe Text
- trainingHours :: Maybe Double
- trainingMode :: Maybe TrainingMode
- tunedHPOParams :: Maybe TunedHPOParams
}
newSolutionVersion :: SolutionVersion
solutionVersion_creationDateTime :: Lens' SolutionVersion (Maybe UTCTime)
solutionVersion_datasetGroupArn :: Lens' SolutionVersion (Maybe Text)
solutionVersion_eventType :: Lens' SolutionVersion (Maybe Text)
solutionVersion_failureReason :: Lens' SolutionVersion (Maybe Text)
solutionVersion_lastUpdatedDateTime :: Lens' SolutionVersion (Maybe UTCTime)
solutionVersion_name :: Lens' SolutionVersion (Maybe Text)
solutionVersion_performAutoML :: Lens' SolutionVersion (Maybe Bool)
solutionVersion_performHPO :: Lens' SolutionVersion (Maybe Bool)
solutionVersion_recipeArn :: Lens' SolutionVersion (Maybe Text)
solutionVersion_solutionArn :: Lens' SolutionVersion (Maybe Text)
solutionVersion_solutionConfig :: Lens' SolutionVersion (Maybe SolutionConfig)
solutionVersion_solutionVersionArn :: Lens' SolutionVersion (Maybe Text)
solutionVersion_status :: Lens' SolutionVersion (Maybe Text)
solutionVersion_trainingHours :: Lens' SolutionVersion (Maybe Double)
solutionVersion_trainingMode :: Lens' SolutionVersion (Maybe TrainingMode)
solutionVersion_tunedHPOParams :: Lens' SolutionVersion (Maybe TunedHPOParams)
data SolutionVersionSummary = SolutionVersionSummary' {
- creationDateTime :: Maybe POSIX
- failureReason :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- solutionVersionArn :: Maybe Text
- status :: Maybe Text
}
newSolutionVersionSummary :: SolutionVersionSummary
solutionVersionSummary_creationDateTime :: Lens' SolutionVersionSummary (Maybe UTCTime)
solutionVersionSummary_failureReason :: Lens' SolutionVersionSummary (Maybe Text)
solutionVersionSummary_lastUpdatedDateTime :: Lens' SolutionVersionSummary (Maybe UTCTime)
solutionVersionSummary_solutionVersionArn :: Lens' SolutionVersionSummary (Maybe Text)
solutionVersionSummary_status :: Lens' SolutionVersionSummary (Maybe Text)
data Tag = Tag' {
- tagKey :: Text
- tagValue :: Text
}
newTag :: Text -> Text -> Tag
tag_tagKey :: Lens' Tag Text
tag_tagValue :: Lens' Tag Text
data TunedHPOParams = TunedHPOParams' {
- algorithmHyperParameters :: Maybe (HashMap Text Text)
}
newTunedHPOParams :: TunedHPOParams
tunedHPOParams_algorithmHyperParameters :: Lens' TunedHPOParams (Maybe (HashMap Text Text))

Service Configuration

defaultService :: Service Source #

API version 2018-05-22 of the Amazon Personalize SDK configuration.

Errors

_InvalidInputException :: AsError a => Fold a ServiceError Source #

Provide a valid value for the field or parameter.

_InvalidNextTokenException :: AsError a => Fold a ServiceError Source #

The token is not valid.

_LimitExceededException :: AsError a => Fold a ServiceError Source #

The limit on the number of requests per second has been exceeded.

_ResourceAlreadyExistsException :: AsError a => Fold a ServiceError Source #

The specified resource already exists.

_ResourceInUseException :: AsError a => Fold a ServiceError Source #

The specified resource is in use.

_ResourceNotFoundException :: AsError a => Fold a ServiceError Source #

Could not find the specified resource.

_TooManyTagKeysException :: AsError a => Fold a ServiceError Source #

The request contains more tag keys than can be associated with a resource (50 tag keys per resource).

_TooManyTagsException :: AsError a => Fold a ServiceError Source #

You have exceeded the maximum number of tags you can apply to this resource.

Domain

newtype Domain Source #

Constructors

Domain'
Fields fromDomain :: Text

Bundled Patterns

pattern Domain_ECOMMERCE :: Domain
pattern Domain_VIDEO_ON_DEMAND :: Domain

Instances

Instances details

FromJSON Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods parseJSON :: Value -> Parser Domain # parseJSONList :: Value -> Parser [Domain] #
FromJSONKey Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods fromJSONKey :: FromJSONKeyFunction Domain # fromJSONKeyList :: FromJSONKeyFunction [Domain] #
ToJSON Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods toJSON :: Domain -> Value # toEncoding :: Domain -> Encoding # toJSONList :: [Domain] -> Value # toEncodingList :: [Domain] -> Encoding #
ToJSONKey Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods toJSONKey :: ToJSONKeyFunction Domain # toJSONKeyList :: ToJSONKeyFunction [Domain] #
ToByteString Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods toBS :: Domain -> ByteString #
ToHeader Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods toHeader :: HeaderName -> Domain -> [Header] #
ToLog Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods build :: Domain -> ByteStringBuilder #
ToQuery Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods toQuery :: Domain -> QueryString #
FromText Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods fromText :: Text -> Either String Domain #
ToText Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods toText :: Domain -> Text #
FromXML Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods parseXML :: [Node] -> Either String Domain #
ToXML Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods toXML :: Domain -> XML #
Generic Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Associated Types type Rep Domain :: Type -> Type # Methods from :: Domain -> Rep Domain x # to :: Rep Domain x -> Domain #
Read Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods readsPrec :: Int -> ReadS Domain # readList :: ReadS [Domain] # readPrec :: ReadPrec Domain # readListPrec :: ReadPrec [Domain] #
Show Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods showsPrec :: Int -> Domain -> ShowS # show :: Domain -> String # showList :: [Domain] -> ShowS #
NFData Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods rnf :: Domain -> () #
Eq Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods (==) :: Domain -> Domain -> Bool # (/=) :: Domain -> Domain -> Bool #
Ord Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods compare :: Domain -> Domain -> Ordering # (<) :: Domain -> Domain -> Bool # (<=) :: Domain -> Domain -> Bool # (>) :: Domain -> Domain -> Bool # (>=) :: Domain -> Domain -> Bool # max :: Domain -> Domain -> Domain # min :: Domain -> Domain -> Domain #
Hashable Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain Methods hashWithSalt :: Int -> Domain -> Int # hash :: Domain -> Int #
type Rep Domain Source #
Instance details Defined in Amazonka.Personalize.Types.Domain type Rep Domain = D1 ('MetaData "Domain" "Amazonka.Personalize.Types.Domain" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'True) (C1 ('MetaCons "Domain'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDomain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ImportMode

newtype ImportMode Source #

Constructors

ImportMode'
Fields fromImportMode :: Text

Bundled Patterns

pattern ImportMode_FULL :: ImportMode
pattern ImportMode_INCREMENTAL :: ImportMode

Instances

Instances details

FromJSON ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods parseJSON :: Value -> Parser ImportMode # parseJSONList :: Value -> Parser [ImportMode] #
FromJSONKey ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods fromJSONKey :: FromJSONKeyFunction ImportMode # fromJSONKeyList :: FromJSONKeyFunction [ImportMode] #
ToJSON ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods toJSON :: ImportMode -> Value # toEncoding :: ImportMode -> Encoding # toJSONList :: [ImportMode] -> Value # toEncodingList :: [ImportMode] -> Encoding #
ToJSONKey ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods toJSONKey :: ToJSONKeyFunction ImportMode # toJSONKeyList :: ToJSONKeyFunction [ImportMode] #
ToByteString ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods toBS :: ImportMode -> ByteString #
ToHeader ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods toHeader :: HeaderName -> ImportMode -> [Header] #
ToLog ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods build :: ImportMode -> ByteStringBuilder #
ToQuery ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods toQuery :: ImportMode -> QueryString #
FromText ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods fromText :: Text -> Either String ImportMode #
ToText ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods toText :: ImportMode -> Text #
FromXML ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods parseXML :: [Node] -> Either String ImportMode #
ToXML ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods toXML :: ImportMode -> XML #
Generic ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Associated Types type Rep ImportMode :: Type -> Type # Methods from :: ImportMode -> Rep ImportMode x # to :: Rep ImportMode x -> ImportMode #
Read ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods readsPrec :: Int -> ReadS ImportMode # readList :: ReadS [ImportMode] # readPrec :: ReadPrec ImportMode # readListPrec :: ReadPrec [ImportMode] #
Show ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods showsPrec :: Int -> ImportMode -> ShowS # show :: ImportMode -> String # showList :: [ImportMode] -> ShowS #
NFData ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods rnf :: ImportMode -> () #
Eq ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods (==) :: ImportMode -> ImportMode -> Bool # (/=) :: ImportMode -> ImportMode -> Bool #
Ord ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods compare :: ImportMode -> ImportMode -> Ordering # (<) :: ImportMode -> ImportMode -> Bool # (<=) :: ImportMode -> ImportMode -> Bool # (>) :: ImportMode -> ImportMode -> Bool # (>=) :: ImportMode -> ImportMode -> Bool # max :: ImportMode -> ImportMode -> ImportMode # min :: ImportMode -> ImportMode -> ImportMode #
Hashable ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode Methods hashWithSalt :: Int -> ImportMode -> Int # hash :: ImportMode -> Int #
type Rep ImportMode Source #
Instance details Defined in Amazonka.Personalize.Types.ImportMode type Rep ImportMode = D1 ('MetaData "ImportMode" "Amazonka.Personalize.Types.ImportMode" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'True) (C1 ('MetaCons "ImportMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromImportMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

IngestionMode

newtype IngestionMode Source #

Constructors

IngestionMode'
Fields fromIngestionMode :: Text

Bundled Patterns

pattern IngestionMode_ALL :: IngestionMode
pattern IngestionMode_BULK :: IngestionMode
pattern IngestionMode_PUT :: IngestionMode

Instances

Instances details

FromJSON IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods parseJSON :: Value -> Parser IngestionMode # parseJSONList :: Value -> Parser [IngestionMode] #
FromJSONKey IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods fromJSONKey :: FromJSONKeyFunction IngestionMode # fromJSONKeyList :: FromJSONKeyFunction [IngestionMode] #
ToJSON IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods toJSON :: IngestionMode -> Value # toEncoding :: IngestionMode -> Encoding # toJSONList :: [IngestionMode] -> Value # toEncodingList :: [IngestionMode] -> Encoding #
ToJSONKey IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods toJSONKey :: ToJSONKeyFunction IngestionMode # toJSONKeyList :: ToJSONKeyFunction [IngestionMode] #
ToByteString IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods toBS :: IngestionMode -> ByteString #
ToHeader IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods toHeader :: HeaderName -> IngestionMode -> [Header] #
ToLog IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods build :: IngestionMode -> ByteStringBuilder #
ToQuery IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods toQuery :: IngestionMode -> QueryString #
FromText IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods fromText :: Text -> Either String IngestionMode #
ToText IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods toText :: IngestionMode -> Text #
FromXML IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods parseXML :: [Node] -> Either String IngestionMode #
ToXML IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods toXML :: IngestionMode -> XML #
Generic IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Associated Types type Rep IngestionMode :: Type -> Type # Methods from :: IngestionMode -> Rep IngestionMode x # to :: Rep IngestionMode x -> IngestionMode #
Read IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods readsPrec :: Int -> ReadS IngestionMode # readList :: ReadS [IngestionMode] # readPrec :: ReadPrec IngestionMode # readListPrec :: ReadPrec [IngestionMode] #
Show IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods showsPrec :: Int -> IngestionMode -> ShowS # show :: IngestionMode -> String # showList :: [IngestionMode] -> ShowS #
NFData IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods rnf :: IngestionMode -> () #
Eq IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods (==) :: IngestionMode -> IngestionMode -> Bool # (/=) :: IngestionMode -> IngestionMode -> Bool #
Ord IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods compare :: IngestionMode -> IngestionMode -> Ordering # (<) :: IngestionMode -> IngestionMode -> Bool # (<=) :: IngestionMode -> IngestionMode -> Bool # (>) :: IngestionMode -> IngestionMode -> Bool # (>=) :: IngestionMode -> IngestionMode -> Bool # max :: IngestionMode -> IngestionMode -> IngestionMode # min :: IngestionMode -> IngestionMode -> IngestionMode #
Hashable IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode Methods hashWithSalt :: Int -> IngestionMode -> Int # hash :: IngestionMode -> Int #
type Rep IngestionMode Source #
Instance details Defined in Amazonka.Personalize.Types.IngestionMode type Rep IngestionMode = D1 ('MetaData "IngestionMode" "Amazonka.Personalize.Types.IngestionMode" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'True) (C1 ('MetaCons "IngestionMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromIngestionMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ObjectiveSensitivity

newtype ObjectiveSensitivity Source #

Constructors

ObjectiveSensitivity'
Fields fromObjectiveSensitivity :: Text

Bundled Patterns

pattern ObjectiveSensitivity_HIGH :: ObjectiveSensitivity
pattern ObjectiveSensitivity_LOW :: ObjectiveSensitivity
pattern ObjectiveSensitivity_MEDIUM :: ObjectiveSensitivity
pattern ObjectiveSensitivity_OFF :: ObjectiveSensitivity

Instances

Instances details

FromJSON ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods parseJSON :: Value -> Parser ObjectiveSensitivity # parseJSONList :: Value -> Parser [ObjectiveSensitivity] #
FromJSONKey ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods fromJSONKey :: FromJSONKeyFunction ObjectiveSensitivity # fromJSONKeyList :: FromJSONKeyFunction [ObjectiveSensitivity] #
ToJSON ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods toJSON :: ObjectiveSensitivity -> Value # toEncoding :: ObjectiveSensitivity -> Encoding # toJSONList :: [ObjectiveSensitivity] -> Value # toEncodingList :: [ObjectiveSensitivity] -> Encoding #
ToJSONKey ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods toJSONKey :: ToJSONKeyFunction ObjectiveSensitivity # toJSONKeyList :: ToJSONKeyFunction [ObjectiveSensitivity] #
ToByteString ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods toBS :: ObjectiveSensitivity -> ByteString #
ToHeader ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods toHeader :: HeaderName -> ObjectiveSensitivity -> [Header] #
ToLog ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods build :: ObjectiveSensitivity -> ByteStringBuilder #
ToQuery ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods toQuery :: ObjectiveSensitivity -> QueryString #
FromText ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods fromText :: Text -> Either String ObjectiveSensitivity #
ToText ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods toText :: ObjectiveSensitivity -> Text #
FromXML ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods parseXML :: [Node] -> Either String ObjectiveSensitivity #
ToXML ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods toXML :: ObjectiveSensitivity -> XML #
Generic ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Associated Types type Rep ObjectiveSensitivity :: Type -> Type # Methods from :: ObjectiveSensitivity -> Rep ObjectiveSensitivity x # to :: Rep ObjectiveSensitivity x -> ObjectiveSensitivity #
Read ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods readsPrec :: Int -> ReadS ObjectiveSensitivity # readList :: ReadS [ObjectiveSensitivity] # readPrec :: ReadPrec ObjectiveSensitivity # readListPrec :: ReadPrec [ObjectiveSensitivity] #
Show ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods showsPrec :: Int -> ObjectiveSensitivity -> ShowS # show :: ObjectiveSensitivity -> String # showList :: [ObjectiveSensitivity] -> ShowS #
NFData ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods rnf :: ObjectiveSensitivity -> () #
Eq ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods (==) :: ObjectiveSensitivity -> ObjectiveSensitivity -> Bool # (/=) :: ObjectiveSensitivity -> ObjectiveSensitivity -> Bool #
Ord ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods compare :: ObjectiveSensitivity -> ObjectiveSensitivity -> Ordering # (<) :: ObjectiveSensitivity -> ObjectiveSensitivity -> Bool # (<=) :: ObjectiveSensitivity -> ObjectiveSensitivity -> Bool # (>) :: ObjectiveSensitivity -> ObjectiveSensitivity -> Bool # (>=) :: ObjectiveSensitivity -> ObjectiveSensitivity -> Bool # max :: ObjectiveSensitivity -> ObjectiveSensitivity -> ObjectiveSensitivity # min :: ObjectiveSensitivity -> ObjectiveSensitivity -> ObjectiveSensitivity #
Hashable ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity Methods hashWithSalt :: Int -> ObjectiveSensitivity -> Int # hash :: ObjectiveSensitivity -> Int #
type Rep ObjectiveSensitivity Source #
Instance details Defined in Amazonka.Personalize.Types.ObjectiveSensitivity type Rep ObjectiveSensitivity = D1 ('MetaData "ObjectiveSensitivity" "Amazonka.Personalize.Types.ObjectiveSensitivity" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'True) (C1 ('MetaCons "ObjectiveSensitivity'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromObjectiveSensitivity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RecipeProvider

newtype RecipeProvider Source #

Constructors

RecipeProvider'
Fields fromRecipeProvider :: Text

Bundled Patterns

pattern RecipeProvider_SERVICE :: RecipeProvider

Instances

Instances details

FromJSON RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods parseJSON :: Value -> Parser RecipeProvider # parseJSONList :: Value -> Parser [RecipeProvider] #
FromJSONKey RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods fromJSONKey :: FromJSONKeyFunction RecipeProvider # fromJSONKeyList :: FromJSONKeyFunction [RecipeProvider] #
ToJSON RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods toJSON :: RecipeProvider -> Value # toEncoding :: RecipeProvider -> Encoding # toJSONList :: [RecipeProvider] -> Value # toEncodingList :: [RecipeProvider] -> Encoding #
ToJSONKey RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods toJSONKey :: ToJSONKeyFunction RecipeProvider # toJSONKeyList :: ToJSONKeyFunction [RecipeProvider] #
ToByteString RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods toBS :: RecipeProvider -> ByteString #
ToHeader RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods toHeader :: HeaderName -> RecipeProvider -> [Header] #
ToLog RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods build :: RecipeProvider -> ByteStringBuilder #
ToQuery RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods toQuery :: RecipeProvider -> QueryString #
FromText RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods fromText :: Text -> Either String RecipeProvider #
ToText RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods toText :: RecipeProvider -> Text #
FromXML RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods parseXML :: [Node] -> Either String RecipeProvider #
ToXML RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods toXML :: RecipeProvider -> XML #
Generic RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Associated Types type Rep RecipeProvider :: Type -> Type # Methods from :: RecipeProvider -> Rep RecipeProvider x # to :: Rep RecipeProvider x -> RecipeProvider #
Read RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods readsPrec :: Int -> ReadS RecipeProvider # readList :: ReadS [RecipeProvider] # readPrec :: ReadPrec RecipeProvider # readListPrec :: ReadPrec [RecipeProvider] #
Show RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods showsPrec :: Int -> RecipeProvider -> ShowS # show :: RecipeProvider -> String # showList :: [RecipeProvider] -> ShowS #
NFData RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods rnf :: RecipeProvider -> () #
Eq RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods (==) :: RecipeProvider -> RecipeProvider -> Bool # (/=) :: RecipeProvider -> RecipeProvider -> Bool #
Ord RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods compare :: RecipeProvider -> RecipeProvider -> Ordering # (<) :: RecipeProvider -> RecipeProvider -> Bool # (<=) :: RecipeProvider -> RecipeProvider -> Bool # (>) :: RecipeProvider -> RecipeProvider -> Bool # (>=) :: RecipeProvider -> RecipeProvider -> Bool # max :: RecipeProvider -> RecipeProvider -> RecipeProvider # min :: RecipeProvider -> RecipeProvider -> RecipeProvider #
Hashable RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider Methods hashWithSalt :: Int -> RecipeProvider -> Int # hash :: RecipeProvider -> Int #
type Rep RecipeProvider Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeProvider type Rep RecipeProvider = D1 ('MetaData "RecipeProvider" "Amazonka.Personalize.Types.RecipeProvider" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'True) (C1 ('MetaCons "RecipeProvider'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRecipeProvider") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrainingMode

newtype TrainingMode Source #

Constructors

TrainingMode'
Fields fromTrainingMode :: Text

Bundled Patterns

pattern TrainingMode_FULL :: TrainingMode
pattern TrainingMode_UPDATE :: TrainingMode

Instances

Instances details

FromJSON TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods parseJSON :: Value -> Parser TrainingMode # parseJSONList :: Value -> Parser [TrainingMode] #
FromJSONKey TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods fromJSONKey :: FromJSONKeyFunction TrainingMode # fromJSONKeyList :: FromJSONKeyFunction [TrainingMode] #
ToJSON TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods toJSON :: TrainingMode -> Value # toEncoding :: TrainingMode -> Encoding # toJSONList :: [TrainingMode] -> Value # toEncodingList :: [TrainingMode] -> Encoding #
ToJSONKey TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods toJSONKey :: ToJSONKeyFunction TrainingMode # toJSONKeyList :: ToJSONKeyFunction [TrainingMode] #
ToByteString TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods toBS :: TrainingMode -> ByteString #
ToHeader TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods toHeader :: HeaderName -> TrainingMode -> [Header] #
ToLog TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods build :: TrainingMode -> ByteStringBuilder #
ToQuery TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods toQuery :: TrainingMode -> QueryString #
FromText TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods fromText :: Text -> Either String TrainingMode #
ToText TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods toText :: TrainingMode -> Text #
FromXML TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods parseXML :: [Node] -> Either String TrainingMode #
ToXML TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods toXML :: TrainingMode -> XML #
Generic TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Associated Types type Rep TrainingMode :: Type -> Type # Methods from :: TrainingMode -> Rep TrainingMode x # to :: Rep TrainingMode x -> TrainingMode #
Read TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods readsPrec :: Int -> ReadS TrainingMode # readList :: ReadS [TrainingMode] # readPrec :: ReadPrec TrainingMode # readListPrec :: ReadPrec [TrainingMode] #
Show TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods showsPrec :: Int -> TrainingMode -> ShowS # show :: TrainingMode -> String # showList :: [TrainingMode] -> ShowS #
NFData TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods rnf :: TrainingMode -> () #
Eq TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods (==) :: TrainingMode -> TrainingMode -> Bool # (/=) :: TrainingMode -> TrainingMode -> Bool #
Ord TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods compare :: TrainingMode -> TrainingMode -> Ordering # (<) :: TrainingMode -> TrainingMode -> Bool # (<=) :: TrainingMode -> TrainingMode -> Bool # (>) :: TrainingMode -> TrainingMode -> Bool # (>=) :: TrainingMode -> TrainingMode -> Bool # max :: TrainingMode -> TrainingMode -> TrainingMode # min :: TrainingMode -> TrainingMode -> TrainingMode #
Hashable TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode Methods hashWithSalt :: Int -> TrainingMode -> Int # hash :: TrainingMode -> Int #
type Rep TrainingMode Source #
Instance details Defined in Amazonka.Personalize.Types.TrainingMode type Rep TrainingMode = D1 ('MetaData "TrainingMode" "Amazonka.Personalize.Types.TrainingMode" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'True) (C1 ('MetaCons "TrainingMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrainingMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Algorithm

data Algorithm Source #

Describes a custom algorithm.

See: newAlgorithm smart constructor.

Constructors

Algorithm'

Fields

algorithmArn :: Maybe Text
The Amazon Resource Name (ARN) of the algorithm.
algorithmImage :: Maybe AlgorithmImage
The URI of the Docker container for the algorithm image.
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the algorithm was created.
defaultHyperParameterRanges :: Maybe DefaultHyperParameterRanges
Specifies the default hyperparameters, their ranges, and whether they are tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).
defaultHyperParameters :: Maybe (HashMap Text Text)
Specifies the default hyperparameters.
defaultResourceConfig :: Maybe (HashMap Text Text)
Specifies the default maximum number of training jobs and parallel training jobs.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the algorithm was last updated.
name :: Maybe Text
The name of the algorithm.
roleArn :: Maybe Text
The Amazon Resource Name (ARN) of the role.
trainingInputMode :: Maybe Text
The training input mode.

Instances

Instances details

FromJSON Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Methods parseJSON :: Value -> Parser Algorithm # parseJSONList :: Value -> Parser [Algorithm] #
Generic Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Associated Types type Rep Algorithm :: Type -> Type # Methods from :: Algorithm -> Rep Algorithm x # to :: Rep Algorithm x -> Algorithm #
Read Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Methods readsPrec :: Int -> ReadS Algorithm # readList :: ReadS [Algorithm] # readPrec :: ReadPrec Algorithm # readListPrec :: ReadPrec [Algorithm] #
Show Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Methods showsPrec :: Int -> Algorithm -> ShowS # show :: Algorithm -> String # showList :: [Algorithm] -> ShowS #
NFData Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Methods rnf :: Algorithm -> () #
Eq Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Methods (==) :: Algorithm -> Algorithm -> Bool # (/=) :: Algorithm -> Algorithm -> Bool #
Hashable Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Methods hashWithSalt :: Int -> Algorithm -> Int # hash :: Algorithm -> Int #
type Rep Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm type Rep Algorithm = D1 ('MetaData "Algorithm" "Amazonka.Personalize.Types.Algorithm" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "Algorithm'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "algorithmArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "algorithmImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AlgorithmImage))) :: (S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "defaultHyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DefaultHyperParameterRanges)) :: S1 ('MetaSel ('Just "defaultHyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))))) :: ((S1 ('MetaSel ('Just "defaultResourceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trainingInputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newAlgorithm :: Algorithm Source #

Create a value of Algorithm with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:algorithmArn:Algorithm', algorithm_algorithmArn - The Amazon Resource Name (ARN) of the algorithm.

$sel:algorithmImage:Algorithm', algorithm_algorithmImage - The URI of the Docker container for the algorithm image.

$sel:creationDateTime:Algorithm', algorithm_creationDateTime - The date and time (in Unix time) that the algorithm was created.

$sel:defaultHyperParameterRanges:Algorithm', algorithm_defaultHyperParameterRanges - Specifies the default hyperparameters, their ranges, and whether they are tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

$sel:defaultHyperParameters:Algorithm', algorithm_defaultHyperParameters - Specifies the default hyperparameters.

$sel:defaultResourceConfig:Algorithm', algorithm_defaultResourceConfig - Specifies the default maximum number of training jobs and parallel training jobs.

$sel:lastUpdatedDateTime:Algorithm', algorithm_lastUpdatedDateTime - The date and time (in Unix time) that the algorithm was last updated.

Algorithm, algorithm_name - The name of the algorithm.

$sel:roleArn:Algorithm', algorithm_roleArn - The Amazon Resource Name (ARN) of the role.

$sel:trainingInputMode:Algorithm', algorithm_trainingInputMode - The training input mode.

algorithm_algorithmArn :: Lens' Algorithm (Maybe Text) Source #

The Amazon Resource Name (ARN) of the algorithm.

algorithm_algorithmImage :: Lens' Algorithm (Maybe AlgorithmImage) Source #

The URI of the Docker container for the algorithm image.

algorithm_creationDateTime :: Lens' Algorithm (Maybe UTCTime) Source #

The date and time (in Unix time) that the algorithm was created.

algorithm_defaultHyperParameterRanges :: Lens' Algorithm (Maybe DefaultHyperParameterRanges) Source #

Specifies the default hyperparameters, their ranges, and whether they are tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

algorithm_defaultHyperParameters :: Lens' Algorithm (Maybe (HashMap Text Text)) Source #

Specifies the default hyperparameters.

algorithm_defaultResourceConfig :: Lens' Algorithm (Maybe (HashMap Text Text)) Source #

Specifies the default maximum number of training jobs and parallel training jobs.

algorithm_lastUpdatedDateTime :: Lens' Algorithm (Maybe UTCTime) Source #

The date and time (in Unix time) that the algorithm was last updated.

algorithm_name :: Lens' Algorithm (Maybe Text) Source #

The name of the algorithm.

algorithm_roleArn :: Lens' Algorithm (Maybe Text) Source #

The Amazon Resource Name (ARN) of the role.

algorithm_trainingInputMode :: Lens' Algorithm (Maybe Text) Source #

The training input mode.

AlgorithmImage

data AlgorithmImage Source #

Describes an algorithm image.

See: newAlgorithmImage smart constructor.

Constructors

AlgorithmImage'
Fields name :: Maybe Text The name of the algorithm image. dockerURI :: Text The URI of the Docker container for the algorithm image.

Instances

Instances details

FromJSON AlgorithmImage Source #
Instance details Defined in Amazonka.Personalize.Types.AlgorithmImage Methods parseJSON :: Value -> Parser AlgorithmImage # parseJSONList :: Value -> Parser [AlgorithmImage] #
Generic AlgorithmImage Source #
Instance details Defined in Amazonka.Personalize.Types.AlgorithmImage Associated Types type Rep AlgorithmImage :: Type -> Type # Methods from :: AlgorithmImage -> Rep AlgorithmImage x # to :: Rep AlgorithmImage x -> AlgorithmImage #
Read AlgorithmImage Source #
Instance details Defined in Amazonka.Personalize.Types.AlgorithmImage Methods readsPrec :: Int -> ReadS AlgorithmImage # readList :: ReadS [AlgorithmImage] # readPrec :: ReadPrec AlgorithmImage # readListPrec :: ReadPrec [AlgorithmImage] #
Show AlgorithmImage Source #
Instance details Defined in Amazonka.Personalize.Types.AlgorithmImage Methods showsPrec :: Int -> AlgorithmImage -> ShowS # show :: AlgorithmImage -> String # showList :: [AlgorithmImage] -> ShowS #
NFData AlgorithmImage Source #
Instance details Defined in Amazonka.Personalize.Types.AlgorithmImage Methods rnf :: AlgorithmImage -> () #
Eq AlgorithmImage Source #
Instance details Defined in Amazonka.Personalize.Types.AlgorithmImage Methods (==) :: AlgorithmImage -> AlgorithmImage -> Bool # (/=) :: AlgorithmImage -> AlgorithmImage -> Bool #
Hashable AlgorithmImage Source #
Instance details Defined in Amazonka.Personalize.Types.AlgorithmImage Methods hashWithSalt :: Int -> AlgorithmImage -> Int # hash :: AlgorithmImage -> Int #
type Rep AlgorithmImage Source #
Instance details Defined in Amazonka.Personalize.Types.AlgorithmImage type Rep AlgorithmImage = D1 ('MetaData "AlgorithmImage" "Amazonka.Personalize.Types.AlgorithmImage" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "AlgorithmImage'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "dockerURI") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newAlgorithmImage Source #

Arguments

:: Text	`$sel:dockerURI:AlgorithmImage'`
-> AlgorithmImage

Create a value of AlgorithmImage with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:AlgorithmImage', algorithmImage_name - The name of the algorithm image.

$sel:dockerURI:AlgorithmImage', algorithmImage_dockerURI - The URI of the Docker container for the algorithm image.

algorithmImage_name :: Lens' AlgorithmImage (Maybe Text) Source #

The name of the algorithm image.

algorithmImage_dockerURI :: Lens' AlgorithmImage Text Source #

The URI of the Docker container for the algorithm image.

AutoMLConfig

data AutoMLConfig Source #

When the solution performs AutoML (performAutoML is true in CreateSolution), Amazon Personalize determines which recipe, from the specified list, optimizes the given metric. Amazon Personalize then uses that recipe for the solution.

See: newAutoMLConfig smart constructor.

Constructors

AutoMLConfig'
Fields metricName :: Maybe Text The metric to optimize. recipeList :: Maybe [Text] The list of candidate recipes.

Instances

Instances details

FromJSON AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods parseJSON :: Value -> Parser AutoMLConfig # parseJSONList :: Value -> Parser [AutoMLConfig] #
ToJSON AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods toJSON :: AutoMLConfig -> Value # toEncoding :: AutoMLConfig -> Encoding # toJSONList :: [AutoMLConfig] -> Value # toEncodingList :: [AutoMLConfig] -> Encoding #
Generic AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Associated Types type Rep AutoMLConfig :: Type -> Type # Methods from :: AutoMLConfig -> Rep AutoMLConfig x # to :: Rep AutoMLConfig x -> AutoMLConfig #
Read AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods readsPrec :: Int -> ReadS AutoMLConfig # readList :: ReadS [AutoMLConfig] # readPrec :: ReadPrec AutoMLConfig # readListPrec :: ReadPrec [AutoMLConfig] #
Show AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods showsPrec :: Int -> AutoMLConfig -> ShowS # show :: AutoMLConfig -> String # showList :: [AutoMLConfig] -> ShowS #
NFData AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods rnf :: AutoMLConfig -> () #
Eq AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods (==) :: AutoMLConfig -> AutoMLConfig -> Bool # (/=) :: AutoMLConfig -> AutoMLConfig -> Bool #
Hashable AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods hashWithSalt :: Int -> AutoMLConfig -> Int # hash :: AutoMLConfig -> Int #
type Rep AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig type Rep AutoMLConfig = D1 ('MetaData "AutoMLConfig" "Amazonka.Personalize.Types.AutoMLConfig" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "AutoMLConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "recipeList") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))

newAutoMLConfig :: AutoMLConfig Source #

Create a value of AutoMLConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:metricName:AutoMLConfig', autoMLConfig_metricName - The metric to optimize.

$sel:recipeList:AutoMLConfig', autoMLConfig_recipeList - The list of candidate recipes.

autoMLConfig_metricName :: Lens' AutoMLConfig (Maybe Text) Source #

The metric to optimize.

autoMLConfig_recipeList :: Lens' AutoMLConfig (Maybe [Text]) Source #

The list of candidate recipes.

AutoMLResult

data AutoMLResult Source #

When the solution performs AutoML (performAutoML is true in CreateSolution), specifies the recipe that best optimized the specified metric.

See: newAutoMLResult smart constructor.

Constructors

AutoMLResult'
Fields bestRecipeArn :: Maybe Text The Amazon Resource Name (ARN) of the best recipe.

Instances

Instances details

FromJSON AutoMLResult Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLResult Methods parseJSON :: Value -> Parser AutoMLResult # parseJSONList :: Value -> Parser [AutoMLResult] #
Generic AutoMLResult Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLResult Associated Types type Rep AutoMLResult :: Type -> Type # Methods from :: AutoMLResult -> Rep AutoMLResult x # to :: Rep AutoMLResult x -> AutoMLResult #
Read AutoMLResult Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLResult Methods readsPrec :: Int -> ReadS AutoMLResult # readList :: ReadS [AutoMLResult] # readPrec :: ReadPrec AutoMLResult # readListPrec :: ReadPrec [AutoMLResult] #
Show AutoMLResult Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLResult Methods showsPrec :: Int -> AutoMLResult -> ShowS # show :: AutoMLResult -> String # showList :: [AutoMLResult] -> ShowS #
NFData AutoMLResult Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLResult Methods rnf :: AutoMLResult -> () #
Eq AutoMLResult Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLResult Methods (==) :: AutoMLResult -> AutoMLResult -> Bool # (/=) :: AutoMLResult -> AutoMLResult -> Bool #
Hashable AutoMLResult Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLResult Methods hashWithSalt :: Int -> AutoMLResult -> Int # hash :: AutoMLResult -> Int #
type Rep AutoMLResult Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLResult type Rep AutoMLResult = D1 ('MetaData "AutoMLResult" "Amazonka.Personalize.Types.AutoMLResult" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "AutoMLResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "bestRecipeArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAutoMLResult :: AutoMLResult Source #

Create a value of AutoMLResult with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:bestRecipeArn:AutoMLResult', autoMLResult_bestRecipeArn - The Amazon Resource Name (ARN) of the best recipe.

autoMLResult_bestRecipeArn :: Lens' AutoMLResult (Maybe Text) Source #

The Amazon Resource Name (ARN) of the best recipe.

BatchInferenceJob

data BatchInferenceJob Source #

Contains information on a batch inference job.

See: newBatchInferenceJob smart constructor.

Constructors

BatchInferenceJob'

Fields

batchInferenceJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the batch inference job.
batchInferenceJobConfig :: Maybe BatchInferenceJobConfig
A string to string map of the configuration details of a batch inference job.
creationDateTime :: Maybe POSIX
The time at which the batch inference job was created.
failureReason :: Maybe Text
If the batch inference job failed, the reason for the failure.
filterArn :: Maybe Text
The ARN of the filter used on the batch inference job.
jobInput :: Maybe BatchInferenceJobInput
The Amazon S3 path that leads to the input data used to generate the batch inference job.
jobName :: Maybe Text
The name of the batch inference job.
jobOutput :: Maybe BatchInferenceJobOutput
The Amazon S3 bucket that contains the output data generated by the batch inference job.
lastUpdatedDateTime :: Maybe POSIX
The time at which the batch inference job was last updated.
numResults :: Maybe Int
The number of recommendations generated by the batch inference job. This number includes the error messages generated for failed input records.
roleArn :: Maybe Text
The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch inference job.
solutionVersionArn :: Maybe Text
The Amazon Resource Name (ARN) of the solution version from which the batch inference job was created.
status :: Maybe Text
The status of the batch inference job. The status is one of the following values:
- PENDING
- IN PROGRESS
- ACTIVE
- CREATE FAILED

Instances

Instances details

FromJSON BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Methods parseJSON :: Value -> Parser BatchInferenceJob # parseJSONList :: Value -> Parser [BatchInferenceJob] #
Generic BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Associated Types type Rep BatchInferenceJob :: Type -> Type # Methods from :: BatchInferenceJob -> Rep BatchInferenceJob x # to :: Rep BatchInferenceJob x -> BatchInferenceJob #
Read BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Methods readsPrec :: Int -> ReadS BatchInferenceJob # readList :: ReadS [BatchInferenceJob] # readPrec :: ReadPrec BatchInferenceJob # readListPrec :: ReadPrec [BatchInferenceJob] #
Show BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Methods showsPrec :: Int -> BatchInferenceJob -> ShowS # show :: BatchInferenceJob -> String # showList :: [BatchInferenceJob] -> ShowS #
NFData BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Methods rnf :: BatchInferenceJob -> () #
Eq BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Methods (==) :: BatchInferenceJob -> BatchInferenceJob -> Bool # (/=) :: BatchInferenceJob -> BatchInferenceJob -> Bool #
Hashable BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Methods hashWithSalt :: Int -> BatchInferenceJob -> Int # hash :: BatchInferenceJob -> Int #
type Rep BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob type Rep BatchInferenceJob = D1 ('MetaData "BatchInferenceJob" "Amazonka.Personalize.Types.BatchInferenceJob" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "BatchInferenceJob'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "batchInferenceJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "batchInferenceJobConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchInferenceJobConfig)) :: S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "filterArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "jobInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchInferenceJobInput))))) :: ((S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "jobOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchInferenceJobOutput)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: ((S1 ('MetaSel ('Just "numResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "solutionVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newBatchInferenceJob :: BatchInferenceJob Source #

Create a value of BatchInferenceJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:batchInferenceJobArn:BatchInferenceJob', batchInferenceJob_batchInferenceJobArn - The Amazon Resource Name (ARN) of the batch inference job.

$sel:batchInferenceJobConfig:BatchInferenceJob', batchInferenceJob_batchInferenceJobConfig - A string to string map of the configuration details of a batch inference job.

$sel:creationDateTime:BatchInferenceJob', batchInferenceJob_creationDateTime - The time at which the batch inference job was created.

$sel:failureReason:BatchInferenceJob', batchInferenceJob_failureReason - If the batch inference job failed, the reason for the failure.

$sel:filterArn:BatchInferenceJob', batchInferenceJob_filterArn - The ARN of the filter used on the batch inference job.

$sel:jobInput:BatchInferenceJob', batchInferenceJob_jobInput - The Amazon S3 path that leads to the input data used to generate the batch inference job.

$sel:jobName:BatchInferenceJob', batchInferenceJob_jobName - The name of the batch inference job.

$sel:jobOutput:BatchInferenceJob', batchInferenceJob_jobOutput - The Amazon S3 bucket that contains the output data generated by the batch inference job.

$sel:lastUpdatedDateTime:BatchInferenceJob', batchInferenceJob_lastUpdatedDateTime - The time at which the batch inference job was last updated.

$sel:numResults:BatchInferenceJob', batchInferenceJob_numResults - The number of recommendations generated by the batch inference job. This number includes the error messages generated for failed input records.

$sel:roleArn:BatchInferenceJob', batchInferenceJob_roleArn - The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch inference job.

$sel:solutionVersionArn:BatchInferenceJob', batchInferenceJob_solutionVersionArn - The Amazon Resource Name (ARN) of the solution version from which the batch inference job was created.

$sel:status:BatchInferenceJob', batchInferenceJob_status - The status of the batch inference job. The status is one of the following values:

PENDING
IN PROGRESS
ACTIVE
CREATE FAILED

batchInferenceJob_batchInferenceJobArn :: Lens' BatchInferenceJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the batch inference job.

batchInferenceJob_batchInferenceJobConfig :: Lens' BatchInferenceJob (Maybe BatchInferenceJobConfig) Source #

A string to string map of the configuration details of a batch inference job.

batchInferenceJob_creationDateTime :: Lens' BatchInferenceJob (Maybe UTCTime) Source #

The time at which the batch inference job was created.

batchInferenceJob_failureReason :: Lens' BatchInferenceJob (Maybe Text) Source #

If the batch inference job failed, the reason for the failure.

batchInferenceJob_filterArn :: Lens' BatchInferenceJob (Maybe Text) Source #

The ARN of the filter used on the batch inference job.

batchInferenceJob_jobInput :: Lens' BatchInferenceJob (Maybe BatchInferenceJobInput) Source #

The Amazon S3 path that leads to the input data used to generate the batch inference job.

batchInferenceJob_jobName :: Lens' BatchInferenceJob (Maybe Text) Source #

The name of the batch inference job.

batchInferenceJob_jobOutput :: Lens' BatchInferenceJob (Maybe BatchInferenceJobOutput) Source #

The Amazon S3 bucket that contains the output data generated by the batch inference job.

batchInferenceJob_lastUpdatedDateTime :: Lens' BatchInferenceJob (Maybe UTCTime) Source #

The time at which the batch inference job was last updated.

batchInferenceJob_numResults :: Lens' BatchInferenceJob (Maybe Int) Source #

The number of recommendations generated by the batch inference job. This number includes the error messages generated for failed input records.

batchInferenceJob_roleArn :: Lens' BatchInferenceJob (Maybe Text) Source #

The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch inference job.

batchInferenceJob_solutionVersionArn :: Lens' BatchInferenceJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the solution version from which the batch inference job was created.

batchInferenceJob_status :: Lens' BatchInferenceJob (Maybe Text) Source #

The status of the batch inference job. The status is one of the following values:

PENDING
IN PROGRESS
ACTIVE
CREATE FAILED

BatchInferenceJobConfig

data BatchInferenceJobConfig Source #

The configuration details of a batch inference job.

See: newBatchInferenceJobConfig smart constructor.

Constructors

BatchInferenceJobConfig'
Fields itemExplorationConfig :: Maybe (HashMap Text Text) A string to string map specifying the exploration configuration hyperparameters, including `explorationWeight` and `explorationItemAgeCutOff`, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See User-Personalization.

Instances

Instances details

FromJSON BatchInferenceJobConfig Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobConfig Methods parseJSON :: Value -> Parser BatchInferenceJobConfig # parseJSONList :: Value -> Parser [BatchInferenceJobConfig] #
ToJSON BatchInferenceJobConfig Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobConfig Methods toJSON :: BatchInferenceJobConfig -> Value # toEncoding :: BatchInferenceJobConfig -> Encoding # toJSONList :: [BatchInferenceJobConfig] -> Value # toEncodingList :: [BatchInferenceJobConfig] -> Encoding #
Generic BatchInferenceJobConfig Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobConfig Associated Types type Rep BatchInferenceJobConfig :: Type -> Type # Methods from :: BatchInferenceJobConfig -> Rep BatchInferenceJobConfig x # to :: Rep BatchInferenceJobConfig x -> BatchInferenceJobConfig #
Read BatchInferenceJobConfig Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobConfig Methods readsPrec :: Int -> ReadS BatchInferenceJobConfig # readList :: ReadS [BatchInferenceJobConfig] # readPrec :: ReadPrec BatchInferenceJobConfig # readListPrec :: ReadPrec [BatchInferenceJobConfig] #
Show BatchInferenceJobConfig Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobConfig Methods showsPrec :: Int -> BatchInferenceJobConfig -> ShowS # show :: BatchInferenceJobConfig -> String # showList :: [BatchInferenceJobConfig] -> ShowS #
NFData BatchInferenceJobConfig Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobConfig Methods rnf :: BatchInferenceJobConfig -> () #
Eq BatchInferenceJobConfig Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobConfig Methods (==) :: BatchInferenceJobConfig -> BatchInferenceJobConfig -> Bool # (/=) :: BatchInferenceJobConfig -> BatchInferenceJobConfig -> Bool #
Hashable BatchInferenceJobConfig Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobConfig Methods hashWithSalt :: Int -> BatchInferenceJobConfig -> Int # hash :: BatchInferenceJobConfig -> Int #
type Rep BatchInferenceJobConfig Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobConfig type Rep BatchInferenceJobConfig = D1 ('MetaData "BatchInferenceJobConfig" "Amazonka.Personalize.Types.BatchInferenceJobConfig" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "BatchInferenceJobConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "itemExplorationConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))))

newBatchInferenceJobConfig :: BatchInferenceJobConfig Source #

Create a value of BatchInferenceJobConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:itemExplorationConfig:BatchInferenceJobConfig', batchInferenceJobConfig_itemExplorationConfig - A string to string map specifying the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See User-Personalization.

batchInferenceJobConfig_itemExplorationConfig :: Lens' BatchInferenceJobConfig (Maybe (HashMap Text Text)) Source #

A string to string map specifying the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See User-Personalization.

BatchInferenceJobInput

data BatchInferenceJobInput Source #

The input configuration of a batch inference job.

See: newBatchInferenceJobInput smart constructor.

Constructors

BatchInferenceJobInput'
Fields s3DataSource :: S3DataConfig The URI of the Amazon S3 location that contains your input data. The Amazon S3 bucket must be in the same region as the API endpoint you are calling.

Instances

Instances details

FromJSON BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods parseJSON :: Value -> Parser BatchInferenceJobInput # parseJSONList :: Value -> Parser [BatchInferenceJobInput] #
ToJSON BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods toJSON :: BatchInferenceJobInput -> Value # toEncoding :: BatchInferenceJobInput -> Encoding # toJSONList :: [BatchInferenceJobInput] -> Value # toEncodingList :: [BatchInferenceJobInput] -> Encoding #
Generic BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Associated Types type Rep BatchInferenceJobInput :: Type -> Type # Methods from :: BatchInferenceJobInput -> Rep BatchInferenceJobInput x # to :: Rep BatchInferenceJobInput x -> BatchInferenceJobInput #
Read BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods readsPrec :: Int -> ReadS BatchInferenceJobInput # readList :: ReadS [BatchInferenceJobInput] # readPrec :: ReadPrec BatchInferenceJobInput # readListPrec :: ReadPrec [BatchInferenceJobInput] #
Show BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods showsPrec :: Int -> BatchInferenceJobInput -> ShowS # show :: BatchInferenceJobInput -> String # showList :: [BatchInferenceJobInput] -> ShowS #
NFData BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods rnf :: BatchInferenceJobInput -> () #
Eq BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods (==) :: BatchInferenceJobInput -> BatchInferenceJobInput -> Bool # (/=) :: BatchInferenceJobInput -> BatchInferenceJobInput -> Bool #
Hashable BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods hashWithSalt :: Int -> BatchInferenceJobInput -> Int # hash :: BatchInferenceJobInput -> Int #
type Rep BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput type Rep BatchInferenceJobInput = D1 ('MetaData "BatchInferenceJobInput" "Amazonka.Personalize.Types.BatchInferenceJobInput" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "BatchInferenceJobInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3DataConfig)))

newBatchInferenceJobInput Source #

Arguments

:: S3DataConfig	`$sel:s3DataSource:BatchInferenceJobInput'`
-> BatchInferenceJobInput

Create a value of BatchInferenceJobInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataSource:BatchInferenceJobInput', batchInferenceJobInput_s3DataSource - The URI of the Amazon S3 location that contains your input data. The Amazon S3 bucket must be in the same region as the API endpoint you are calling.

batchInferenceJobInput_s3DataSource :: Lens' BatchInferenceJobInput S3DataConfig Source #

The URI of the Amazon S3 location that contains your input data. The Amazon S3 bucket must be in the same region as the API endpoint you are calling.

BatchInferenceJobOutput

data BatchInferenceJobOutput Source #

The output configuration parameters of a batch inference job.

See: newBatchInferenceJobOutput smart constructor.

Constructors

BatchInferenceJobOutput'
Fields s3DataDestination :: S3DataConfig Information on the Amazon S3 bucket in which the batch inference job's output is stored.

Instances

Instances details

FromJSON BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods parseJSON :: Value -> Parser BatchInferenceJobOutput # parseJSONList :: Value -> Parser [BatchInferenceJobOutput] #
ToJSON BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods toJSON :: BatchInferenceJobOutput -> Value # toEncoding :: BatchInferenceJobOutput -> Encoding # toJSONList :: [BatchInferenceJobOutput] -> Value # toEncodingList :: [BatchInferenceJobOutput] -> Encoding #
Generic BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Associated Types type Rep BatchInferenceJobOutput :: Type -> Type # Methods from :: BatchInferenceJobOutput -> Rep BatchInferenceJobOutput x # to :: Rep BatchInferenceJobOutput x -> BatchInferenceJobOutput #
Read BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods readsPrec :: Int -> ReadS BatchInferenceJobOutput # readList :: ReadS [BatchInferenceJobOutput] # readPrec :: ReadPrec BatchInferenceJobOutput # readListPrec :: ReadPrec [BatchInferenceJobOutput] #
Show BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods showsPrec :: Int -> BatchInferenceJobOutput -> ShowS # show :: BatchInferenceJobOutput -> String # showList :: [BatchInferenceJobOutput] -> ShowS #
NFData BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods rnf :: BatchInferenceJobOutput -> () #
Eq BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods (==) :: BatchInferenceJobOutput -> BatchInferenceJobOutput -> Bool # (/=) :: BatchInferenceJobOutput -> BatchInferenceJobOutput -> Bool #
Hashable BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods hashWithSalt :: Int -> BatchInferenceJobOutput -> Int # hash :: BatchInferenceJobOutput -> Int #
type Rep BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput type Rep BatchInferenceJobOutput = D1 ('MetaData "BatchInferenceJobOutput" "Amazonka.Personalize.Types.BatchInferenceJobOutput" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "BatchInferenceJobOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataDestination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3DataConfig)))

newBatchInferenceJobOutput Source #

Arguments

:: S3DataConfig	`$sel:s3DataDestination:BatchInferenceJobOutput'`
-> BatchInferenceJobOutput

Create a value of BatchInferenceJobOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataDestination:BatchInferenceJobOutput', batchInferenceJobOutput_s3DataDestination - Information on the Amazon S3 bucket in which the batch inference job's output is stored.

batchInferenceJobOutput_s3DataDestination :: Lens' BatchInferenceJobOutput S3DataConfig Source #

Information on the Amazon S3 bucket in which the batch inference job's output is stored.

BatchInferenceJobSummary

data BatchInferenceJobSummary Source #

A truncated version of the BatchInferenceJob. The ListBatchInferenceJobs operation returns a list of batch inference job summaries.

See: newBatchInferenceJobSummary smart constructor.

Constructors

BatchInferenceJobSummary'

Fields

batchInferenceJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the batch inference job.
creationDateTime :: Maybe POSIX
The time at which the batch inference job was created.
failureReason :: Maybe Text
If the batch inference job failed, the reason for the failure.
jobName :: Maybe Text
The name of the batch inference job.
lastUpdatedDateTime :: Maybe POSIX
The time at which the batch inference job was last updated.
solutionVersionArn :: Maybe Text
The ARN of the solution version used by the batch inference job.
status :: Maybe Text
The status of the batch inference job. The status is one of the following values:
- PENDING
- IN PROGRESS
- ACTIVE
- CREATE FAILED

Instances

Instances details

FromJSON BatchInferenceJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobSummary Methods parseJSON :: Value -> Parser BatchInferenceJobSummary # parseJSONList :: Value -> Parser [BatchInferenceJobSummary] #
Generic BatchInferenceJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobSummary Associated Types type Rep BatchInferenceJobSummary :: Type -> Type # Methods from :: BatchInferenceJobSummary -> Rep BatchInferenceJobSummary x # to :: Rep BatchInferenceJobSummary x -> BatchInferenceJobSummary #
Read BatchInferenceJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobSummary Methods readsPrec :: Int -> ReadS BatchInferenceJobSummary # readList :: ReadS [BatchInferenceJobSummary] # readPrec :: ReadPrec BatchInferenceJobSummary # readListPrec :: ReadPrec [BatchInferenceJobSummary] #
Show BatchInferenceJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobSummary Methods showsPrec :: Int -> BatchInferenceJobSummary -> ShowS # show :: BatchInferenceJobSummary -> String # showList :: [BatchInferenceJobSummary] -> ShowS #
NFData BatchInferenceJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobSummary Methods rnf :: BatchInferenceJobSummary -> () #
Eq BatchInferenceJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobSummary Methods (==) :: BatchInferenceJobSummary -> BatchInferenceJobSummary -> Bool # (/=) :: BatchInferenceJobSummary -> BatchInferenceJobSummary -> Bool #
Hashable BatchInferenceJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobSummary Methods hashWithSalt :: Int -> BatchInferenceJobSummary -> Int # hash :: BatchInferenceJobSummary -> Int #
type Rep BatchInferenceJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobSummary type Rep BatchInferenceJobSummary = D1 ('MetaData "BatchInferenceJobSummary" "Amazonka.Personalize.Types.BatchInferenceJobSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "BatchInferenceJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "batchInferenceJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "solutionVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newBatchInferenceJobSummary :: BatchInferenceJobSummary Source #

Create a value of BatchInferenceJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:batchInferenceJobArn:BatchInferenceJobSummary', batchInferenceJobSummary_batchInferenceJobArn - The Amazon Resource Name (ARN) of the batch inference job.

$sel:creationDateTime:BatchInferenceJobSummary', batchInferenceJobSummary_creationDateTime - The time at which the batch inference job was created.

$sel:failureReason:BatchInferenceJobSummary', batchInferenceJobSummary_failureReason - If the batch inference job failed, the reason for the failure.

$sel:jobName:BatchInferenceJobSummary', batchInferenceJobSummary_jobName - The name of the batch inference job.

$sel:lastUpdatedDateTime:BatchInferenceJobSummary', batchInferenceJobSummary_lastUpdatedDateTime - The time at which the batch inference job was last updated.

$sel:solutionVersionArn:BatchInferenceJobSummary', batchInferenceJobSummary_solutionVersionArn - The ARN of the solution version used by the batch inference job.

$sel:status:BatchInferenceJobSummary', batchInferenceJobSummary_status - The status of the batch inference job. The status is one of the following values:

PENDING
IN PROGRESS
ACTIVE
CREATE FAILED

batchInferenceJobSummary_batchInferenceJobArn :: Lens' BatchInferenceJobSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the batch inference job.

batchInferenceJobSummary_creationDateTime :: Lens' BatchInferenceJobSummary (Maybe UTCTime) Source #

The time at which the batch inference job was created.

batchInferenceJobSummary_failureReason :: Lens' BatchInferenceJobSummary (Maybe Text) Source #

If the batch inference job failed, the reason for the failure.

batchInferenceJobSummary_jobName :: Lens' BatchInferenceJobSummary (Maybe Text) Source #

The name of the batch inference job.

batchInferenceJobSummary_lastUpdatedDateTime :: Lens' BatchInferenceJobSummary (Maybe UTCTime) Source #

The time at which the batch inference job was last updated.

batchInferenceJobSummary_solutionVersionArn :: Lens' BatchInferenceJobSummary (Maybe Text) Source #

The ARN of the solution version used by the batch inference job.

batchInferenceJobSummary_status :: Lens' BatchInferenceJobSummary (Maybe Text) Source #

The status of the batch inference job. The status is one of the following values:

PENDING
IN PROGRESS
ACTIVE
CREATE FAILED

BatchSegmentJob

data BatchSegmentJob Source #

Contains information on a batch segment job.

See: newBatchSegmentJob smart constructor.

Constructors

BatchSegmentJob'

Fields

batchSegmentJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the batch segment job.
creationDateTime :: Maybe POSIX
The time at which the batch segment job was created.
failureReason :: Maybe Text
If the batch segment job failed, the reason for the failure.
filterArn :: Maybe Text
The ARN of the filter used on the batch segment job.
jobInput :: Maybe BatchSegmentJobInput
The Amazon S3 path that leads to the input data used to generate the batch segment job.
jobName :: Maybe Text
The name of the batch segment job.
jobOutput :: Maybe BatchSegmentJobOutput
The Amazon S3 bucket that contains the output data generated by the batch segment job.
lastUpdatedDateTime :: Maybe POSIX
The time at which the batch segment job last updated.
numResults :: Maybe Int
The number of predicted users generated by the batch segment job for each line of input data.
roleArn :: Maybe Text
The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch segment job.
solutionVersionArn :: Maybe Text
The Amazon Resource Name (ARN) of the solution version used by the batch segment job to generate batch segments.
status :: Maybe Text
The status of the batch segment job. The status is one of the following values:
- PENDING
- IN PROGRESS
- ACTIVE
- CREATE FAILED

Instances

Instances details

FromJSON BatchSegmentJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJob Methods parseJSON :: Value -> Parser BatchSegmentJob # parseJSONList :: Value -> Parser [BatchSegmentJob] #
Generic BatchSegmentJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJob Associated Types type Rep BatchSegmentJob :: Type -> Type # Methods from :: BatchSegmentJob -> Rep BatchSegmentJob x # to :: Rep BatchSegmentJob x -> BatchSegmentJob #
Read BatchSegmentJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJob Methods readsPrec :: Int -> ReadS BatchSegmentJob # readList :: ReadS [BatchSegmentJob] # readPrec :: ReadPrec BatchSegmentJob # readListPrec :: ReadPrec [BatchSegmentJob] #
Show BatchSegmentJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJob Methods showsPrec :: Int -> BatchSegmentJob -> ShowS # show :: BatchSegmentJob -> String # showList :: [BatchSegmentJob] -> ShowS #
NFData BatchSegmentJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJob Methods rnf :: BatchSegmentJob -> () #
Eq BatchSegmentJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJob Methods (==) :: BatchSegmentJob -> BatchSegmentJob -> Bool # (/=) :: BatchSegmentJob -> BatchSegmentJob -> Bool #
Hashable BatchSegmentJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJob Methods hashWithSalt :: Int -> BatchSegmentJob -> Int # hash :: BatchSegmentJob -> Int #
type Rep BatchSegmentJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJob type Rep BatchSegmentJob = D1 ('MetaData "BatchSegmentJob" "Amazonka.Personalize.Types.BatchSegmentJob" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "BatchSegmentJob'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "batchSegmentJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "filterArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "jobInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchSegmentJobInput)) :: S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "jobOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchSegmentJobOutput)) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "numResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)))) :: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "solutionVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newBatchSegmentJob :: BatchSegmentJob Source #

Create a value of BatchSegmentJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:batchSegmentJobArn:BatchSegmentJob', batchSegmentJob_batchSegmentJobArn - The Amazon Resource Name (ARN) of the batch segment job.

$sel:creationDateTime:BatchSegmentJob', batchSegmentJob_creationDateTime - The time at which the batch segment job was created.

$sel:failureReason:BatchSegmentJob', batchSegmentJob_failureReason - If the batch segment job failed, the reason for the failure.

$sel:filterArn:BatchSegmentJob', batchSegmentJob_filterArn - The ARN of the filter used on the batch segment job.

$sel:jobInput:BatchSegmentJob', batchSegmentJob_jobInput - The Amazon S3 path that leads to the input data used to generate the batch segment job.

$sel:jobName:BatchSegmentJob', batchSegmentJob_jobName - The name of the batch segment job.

$sel:jobOutput:BatchSegmentJob', batchSegmentJob_jobOutput - The Amazon S3 bucket that contains the output data generated by the batch segment job.

$sel:lastUpdatedDateTime:BatchSegmentJob', batchSegmentJob_lastUpdatedDateTime - The time at which the batch segment job last updated.

$sel:numResults:BatchSegmentJob', batchSegmentJob_numResults - The number of predicted users generated by the batch segment job for each line of input data.

$sel:roleArn:BatchSegmentJob', batchSegmentJob_roleArn - The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch segment job.

$sel:solutionVersionArn:BatchSegmentJob', batchSegmentJob_solutionVersionArn - The Amazon Resource Name (ARN) of the solution version used by the batch segment job to generate batch segments.

$sel:status:BatchSegmentJob', batchSegmentJob_status - The status of the batch segment job. The status is one of the following values:

PENDING
IN PROGRESS
ACTIVE
CREATE FAILED

batchSegmentJob_batchSegmentJobArn :: Lens' BatchSegmentJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the batch segment job.

batchSegmentJob_creationDateTime :: Lens' BatchSegmentJob (Maybe UTCTime) Source #

The time at which the batch segment job was created.

batchSegmentJob_failureReason :: Lens' BatchSegmentJob (Maybe Text) Source #

If the batch segment job failed, the reason for the failure.

batchSegmentJob_filterArn :: Lens' BatchSegmentJob (Maybe Text) Source #

The ARN of the filter used on the batch segment job.

batchSegmentJob_jobInput :: Lens' BatchSegmentJob (Maybe BatchSegmentJobInput) Source #

The Amazon S3 path that leads to the input data used to generate the batch segment job.

batchSegmentJob_jobName :: Lens' BatchSegmentJob (Maybe Text) Source #

The name of the batch segment job.

batchSegmentJob_jobOutput :: Lens' BatchSegmentJob (Maybe BatchSegmentJobOutput) Source #

The Amazon S3 bucket that contains the output data generated by the batch segment job.

batchSegmentJob_lastUpdatedDateTime :: Lens' BatchSegmentJob (Maybe UTCTime) Source #

The time at which the batch segment job last updated.

batchSegmentJob_numResults :: Lens' BatchSegmentJob (Maybe Int) Source #

The number of predicted users generated by the batch segment job for each line of input data.

batchSegmentJob_roleArn :: Lens' BatchSegmentJob (Maybe Text) Source #

The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch segment job.

batchSegmentJob_solutionVersionArn :: Lens' BatchSegmentJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the solution version used by the batch segment job to generate batch segments.

batchSegmentJob_status :: Lens' BatchSegmentJob (Maybe Text) Source #

The status of the batch segment job. The status is one of the following values:

PENDING
IN PROGRESS
ACTIVE
CREATE FAILED

BatchSegmentJobInput

data BatchSegmentJobInput Source #

The input configuration of a batch segment job.

See: newBatchSegmentJobInput smart constructor.

Constructors

BatchSegmentJobInput'
Fields s3DataSource :: S3DataConfig

Instances

Instances details

FromJSON BatchSegmentJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobInput Methods parseJSON :: Value -> Parser BatchSegmentJobInput # parseJSONList :: Value -> Parser [BatchSegmentJobInput] #
ToJSON BatchSegmentJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobInput Methods toJSON :: BatchSegmentJobInput -> Value # toEncoding :: BatchSegmentJobInput -> Encoding # toJSONList :: [BatchSegmentJobInput] -> Value # toEncodingList :: [BatchSegmentJobInput] -> Encoding #
Generic BatchSegmentJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobInput Associated Types type Rep BatchSegmentJobInput :: Type -> Type # Methods from :: BatchSegmentJobInput -> Rep BatchSegmentJobInput x # to :: Rep BatchSegmentJobInput x -> BatchSegmentJobInput #
Read BatchSegmentJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobInput Methods readsPrec :: Int -> ReadS BatchSegmentJobInput # readList :: ReadS [BatchSegmentJobInput] # readPrec :: ReadPrec BatchSegmentJobInput # readListPrec :: ReadPrec [BatchSegmentJobInput] #
Show BatchSegmentJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobInput Methods showsPrec :: Int -> BatchSegmentJobInput -> ShowS # show :: BatchSegmentJobInput -> String # showList :: [BatchSegmentJobInput] -> ShowS #
NFData BatchSegmentJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobInput Methods rnf :: BatchSegmentJobInput -> () #
Eq BatchSegmentJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobInput Methods (==) :: BatchSegmentJobInput -> BatchSegmentJobInput -> Bool # (/=) :: BatchSegmentJobInput -> BatchSegmentJobInput -> Bool #
Hashable BatchSegmentJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobInput Methods hashWithSalt :: Int -> BatchSegmentJobInput -> Int # hash :: BatchSegmentJobInput -> Int #
type Rep BatchSegmentJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobInput type Rep BatchSegmentJobInput = D1 ('MetaData "BatchSegmentJobInput" "Amazonka.Personalize.Types.BatchSegmentJobInput" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "BatchSegmentJobInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3DataConfig)))

newBatchSegmentJobInput Source #

Arguments

:: S3DataConfig	`$sel:s3DataSource:BatchSegmentJobInput'`
-> BatchSegmentJobInput

Create a value of BatchSegmentJobInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataSource:BatchSegmentJobInput', batchSegmentJobInput_s3DataSource - Undocumented member.

batchSegmentJobInput_s3DataSource :: Lens' BatchSegmentJobInput S3DataConfig Source #

Undocumented member.

BatchSegmentJobOutput

data BatchSegmentJobOutput Source #

The output configuration parameters of a batch segment job.

See: newBatchSegmentJobOutput smart constructor.

Constructors

BatchSegmentJobOutput'
Fields s3DataDestination :: S3DataConfig

Instances

Instances details

FromJSON BatchSegmentJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobOutput Methods parseJSON :: Value -> Parser BatchSegmentJobOutput # parseJSONList :: Value -> Parser [BatchSegmentJobOutput] #
ToJSON BatchSegmentJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobOutput Methods toJSON :: BatchSegmentJobOutput -> Value # toEncoding :: BatchSegmentJobOutput -> Encoding # toJSONList :: [BatchSegmentJobOutput] -> Value # toEncodingList :: [BatchSegmentJobOutput] -> Encoding #
Generic BatchSegmentJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobOutput Associated Types type Rep BatchSegmentJobOutput :: Type -> Type # Methods from :: BatchSegmentJobOutput -> Rep BatchSegmentJobOutput x # to :: Rep BatchSegmentJobOutput x -> BatchSegmentJobOutput #
Read BatchSegmentJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobOutput Methods readsPrec :: Int -> ReadS BatchSegmentJobOutput # readList :: ReadS [BatchSegmentJobOutput] # readPrec :: ReadPrec BatchSegmentJobOutput # readListPrec :: ReadPrec [BatchSegmentJobOutput] #
Show BatchSegmentJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobOutput Methods showsPrec :: Int -> BatchSegmentJobOutput -> ShowS # show :: BatchSegmentJobOutput -> String # showList :: [BatchSegmentJobOutput] -> ShowS #
NFData BatchSegmentJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobOutput Methods rnf :: BatchSegmentJobOutput -> () #
Eq BatchSegmentJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobOutput Methods (==) :: BatchSegmentJobOutput -> BatchSegmentJobOutput -> Bool # (/=) :: BatchSegmentJobOutput -> BatchSegmentJobOutput -> Bool #
Hashable BatchSegmentJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobOutput Methods hashWithSalt :: Int -> BatchSegmentJobOutput -> Int # hash :: BatchSegmentJobOutput -> Int #
type Rep BatchSegmentJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobOutput type Rep BatchSegmentJobOutput = D1 ('MetaData "BatchSegmentJobOutput" "Amazonka.Personalize.Types.BatchSegmentJobOutput" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "BatchSegmentJobOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataDestination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3DataConfig)))

newBatchSegmentJobOutput Source #

Arguments

:: S3DataConfig	`$sel:s3DataDestination:BatchSegmentJobOutput'`
-> BatchSegmentJobOutput

Create a value of BatchSegmentJobOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataDestination:BatchSegmentJobOutput', batchSegmentJobOutput_s3DataDestination - Undocumented member.

batchSegmentJobOutput_s3DataDestination :: Lens' BatchSegmentJobOutput S3DataConfig Source #

Undocumented member.

BatchSegmentJobSummary

data BatchSegmentJobSummary Source #

A truncated version of the BatchSegmentJob datatype. ListBatchSegmentJobs operation returns a list of batch segment job summaries.

See: newBatchSegmentJobSummary smart constructor.

Constructors

BatchSegmentJobSummary'

Fields

batchSegmentJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the batch segment job.
creationDateTime :: Maybe POSIX
The time at which the batch segment job was created.
failureReason :: Maybe Text
If the batch segment job failed, the reason for the failure.
jobName :: Maybe Text
The name of the batch segment job.
lastUpdatedDateTime :: Maybe POSIX
The time at which the batch segment job was last updated.
solutionVersionArn :: Maybe Text
The Amazon Resource Name (ARN) of the solution version used by the batch segment job to generate batch segments.
status :: Maybe Text
The status of the batch segment job. The status is one of the following values:
- PENDING
- IN PROGRESS
- ACTIVE
- CREATE FAILED

Instances

Instances details

FromJSON BatchSegmentJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobSummary Methods parseJSON :: Value -> Parser BatchSegmentJobSummary # parseJSONList :: Value -> Parser [BatchSegmentJobSummary] #
Generic BatchSegmentJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobSummary Associated Types type Rep BatchSegmentJobSummary :: Type -> Type # Methods from :: BatchSegmentJobSummary -> Rep BatchSegmentJobSummary x # to :: Rep BatchSegmentJobSummary x -> BatchSegmentJobSummary #
Read BatchSegmentJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobSummary Methods readsPrec :: Int -> ReadS BatchSegmentJobSummary # readList :: ReadS [BatchSegmentJobSummary] # readPrec :: ReadPrec BatchSegmentJobSummary # readListPrec :: ReadPrec [BatchSegmentJobSummary] #
Show BatchSegmentJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobSummary Methods showsPrec :: Int -> BatchSegmentJobSummary -> ShowS # show :: BatchSegmentJobSummary -> String # showList :: [BatchSegmentJobSummary] -> ShowS #
NFData BatchSegmentJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobSummary Methods rnf :: BatchSegmentJobSummary -> () #
Eq BatchSegmentJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobSummary Methods (==) :: BatchSegmentJobSummary -> BatchSegmentJobSummary -> Bool # (/=) :: BatchSegmentJobSummary -> BatchSegmentJobSummary -> Bool #
Hashable BatchSegmentJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobSummary Methods hashWithSalt :: Int -> BatchSegmentJobSummary -> Int # hash :: BatchSegmentJobSummary -> Int #
type Rep BatchSegmentJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.BatchSegmentJobSummary type Rep BatchSegmentJobSummary = D1 ('MetaData "BatchSegmentJobSummary" "Amazonka.Personalize.Types.BatchSegmentJobSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "BatchSegmentJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "batchSegmentJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "solutionVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newBatchSegmentJobSummary :: BatchSegmentJobSummary Source #

Create a value of BatchSegmentJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:batchSegmentJobArn:BatchSegmentJobSummary', batchSegmentJobSummary_batchSegmentJobArn - The Amazon Resource Name (ARN) of the batch segment job.

$sel:creationDateTime:BatchSegmentJobSummary', batchSegmentJobSummary_creationDateTime - The time at which the batch segment job was created.

$sel:failureReason:BatchSegmentJobSummary', batchSegmentJobSummary_failureReason - If the batch segment job failed, the reason for the failure.

$sel:jobName:BatchSegmentJobSummary', batchSegmentJobSummary_jobName - The name of the batch segment job.

$sel:lastUpdatedDateTime:BatchSegmentJobSummary', batchSegmentJobSummary_lastUpdatedDateTime - The time at which the batch segment job was last updated.

$sel:solutionVersionArn:BatchSegmentJobSummary', batchSegmentJobSummary_solutionVersionArn - The Amazon Resource Name (ARN) of the solution version used by the batch segment job to generate batch segments.

$sel:status:BatchSegmentJobSummary', batchSegmentJobSummary_status - The status of the batch segment job. The status is one of the following values:

PENDING
IN PROGRESS
ACTIVE
CREATE FAILED

batchSegmentJobSummary_batchSegmentJobArn :: Lens' BatchSegmentJobSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the batch segment job.

batchSegmentJobSummary_creationDateTime :: Lens' BatchSegmentJobSummary (Maybe UTCTime) Source #

The time at which the batch segment job was created.

batchSegmentJobSummary_failureReason :: Lens' BatchSegmentJobSummary (Maybe Text) Source #

If the batch segment job failed, the reason for the failure.

batchSegmentJobSummary_jobName :: Lens' BatchSegmentJobSummary (Maybe Text) Source #

The name of the batch segment job.

batchSegmentJobSummary_lastUpdatedDateTime :: Lens' BatchSegmentJobSummary (Maybe UTCTime) Source #

The time at which the batch segment job was last updated.

batchSegmentJobSummary_solutionVersionArn :: Lens' BatchSegmentJobSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the solution version used by the batch segment job to generate batch segments.

batchSegmentJobSummary_status :: Lens' BatchSegmentJobSummary (Maybe Text) Source #

The status of the batch segment job. The status is one of the following values:

PENDING
IN PROGRESS
ACTIVE
CREATE FAILED

Campaign

data Campaign Source #

An object that describes the deployment of a solution version. For more information on campaigns, see CreateCampaign.

See: newCampaign smart constructor.

Constructors

Campaign'

Fields

campaignArn :: Maybe Text
The Amazon Resource Name (ARN) of the campaign.
campaignConfig :: Maybe CampaignConfig
The configuration details of a campaign.
creationDateTime :: Maybe POSIX
The date and time (in Unix format) that the campaign was created.
failureReason :: Maybe Text
If a campaign fails, the reason behind the failure.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix format) that the campaign was last updated.
latestCampaignUpdate :: Maybe CampaignUpdateSummary
minProvisionedTPS :: Maybe Natural
Specifies the requested minimum provisioned transactions (recommendations) per second.
name :: Maybe Text
The name of the campaign.
solutionVersionArn :: Maybe Text
The Amazon Resource Name (ARN) of a specific version of the solution.
status :: Maybe Text
The status of the campaign.
A campaign can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS

Instances

Instances details

FromJSON Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Methods parseJSON :: Value -> Parser Campaign # parseJSONList :: Value -> Parser [Campaign] #
Generic Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Associated Types type Rep Campaign :: Type -> Type # Methods from :: Campaign -> Rep Campaign x # to :: Rep Campaign x -> Campaign #
Read Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Methods readsPrec :: Int -> ReadS Campaign # readList :: ReadS [Campaign] # readPrec :: ReadPrec Campaign # readListPrec :: ReadPrec [Campaign] #
Show Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Methods showsPrec :: Int -> Campaign -> ShowS # show :: Campaign -> String # showList :: [Campaign] -> ShowS #
NFData Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Methods rnf :: Campaign -> () #
Eq Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Methods (==) :: Campaign -> Campaign -> Bool # (/=) :: Campaign -> Campaign -> Bool #
Hashable Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Methods hashWithSalt :: Int -> Campaign -> Int # hash :: Campaign -> Int #
type Rep Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign type Rep Campaign = D1 ('MetaData "Campaign" "Amazonka.Personalize.Types.Campaign" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "Campaign'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "campaignArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "campaignConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CampaignConfig))) :: (S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))) :: ((S1 ('MetaSel ('Just "latestCampaignUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CampaignUpdateSummary)) :: S1 ('MetaSel ('Just "minProvisionedTPS") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "solutionVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newCampaign :: Campaign Source #

Create a value of Campaign with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:campaignArn:Campaign', campaign_campaignArn - The Amazon Resource Name (ARN) of the campaign.

Campaign, campaign_campaignConfig - The configuration details of a campaign.

Campaign, campaign_creationDateTime - The date and time (in Unix format) that the campaign was created.

Campaign, campaign_failureReason - If a campaign fails, the reason behind the failure.

Campaign, campaign_lastUpdatedDateTime - The date and time (in Unix format) that the campaign was last updated.

$sel:latestCampaignUpdate:Campaign', campaign_latestCampaignUpdate - Undocumented member.

Campaign, campaign_minProvisionedTPS - Specifies the requested minimum provisioned transactions (recommendations) per second.

$sel:name:Campaign', campaign_name - The name of the campaign.

Campaign, campaign_solutionVersionArn - The Amazon Resource Name (ARN) of a specific version of the solution.

Campaign, campaign_status - The status of the campaign.

A campaign can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

campaign_campaignArn :: Lens' Campaign (Maybe Text) Source #

The Amazon Resource Name (ARN) of the campaign.

campaign_campaignConfig :: Lens' Campaign (Maybe CampaignConfig) Source #

The configuration details of a campaign.

campaign_creationDateTime :: Lens' Campaign (Maybe UTCTime) Source #

The date and time (in Unix format) that the campaign was created.

campaign_failureReason :: Lens' Campaign (Maybe Text) Source #

If a campaign fails, the reason behind the failure.

campaign_lastUpdatedDateTime :: Lens' Campaign (Maybe UTCTime) Source #

The date and time (in Unix format) that the campaign was last updated.

campaign_latestCampaignUpdate :: Lens' Campaign (Maybe CampaignUpdateSummary) Source #

Undocumented member.

campaign_minProvisionedTPS :: Lens' Campaign (Maybe Natural) Source #

Specifies the requested minimum provisioned transactions (recommendations) per second.

campaign_name :: Lens' Campaign (Maybe Text) Source #

The name of the campaign.

campaign_solutionVersionArn :: Lens' Campaign (Maybe Text) Source #

The Amazon Resource Name (ARN) of a specific version of the solution.

campaign_status :: Lens' Campaign (Maybe Text) Source #

The status of the campaign.

A campaign can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

CampaignConfig

data CampaignConfig Source #

The configuration details of a campaign.

See: newCampaignConfig smart constructor.

Constructors

CampaignConfig'
Fields itemExplorationConfig :: Maybe (HashMap Text Text) Specifies the exploration configuration hyperparameters, including `explorationWeight` and `explorationItemAgeCutOff`, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide `itemExplorationConfig` data only if your solution uses the User-Personalization recipe.

Instances

Instances details

FromJSON CampaignConfig Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignConfig Methods parseJSON :: Value -> Parser CampaignConfig # parseJSONList :: Value -> Parser [CampaignConfig] #
ToJSON CampaignConfig Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignConfig Methods toJSON :: CampaignConfig -> Value # toEncoding :: CampaignConfig -> Encoding # toJSONList :: [CampaignConfig] -> Value # toEncodingList :: [CampaignConfig] -> Encoding #
Generic CampaignConfig Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignConfig Associated Types type Rep CampaignConfig :: Type -> Type # Methods from :: CampaignConfig -> Rep CampaignConfig x # to :: Rep CampaignConfig x -> CampaignConfig #
Read CampaignConfig Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignConfig Methods readsPrec :: Int -> ReadS CampaignConfig # readList :: ReadS [CampaignConfig] # readPrec :: ReadPrec CampaignConfig # readListPrec :: ReadPrec [CampaignConfig] #
Show CampaignConfig Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignConfig Methods showsPrec :: Int -> CampaignConfig -> ShowS # show :: CampaignConfig -> String # showList :: [CampaignConfig] -> ShowS #
NFData CampaignConfig Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignConfig Methods rnf :: CampaignConfig -> () #
Eq CampaignConfig Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignConfig Methods (==) :: CampaignConfig -> CampaignConfig -> Bool # (/=) :: CampaignConfig -> CampaignConfig -> Bool #
Hashable CampaignConfig Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignConfig Methods hashWithSalt :: Int -> CampaignConfig -> Int # hash :: CampaignConfig -> Int #
type Rep CampaignConfig Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignConfig type Rep CampaignConfig = D1 ('MetaData "CampaignConfig" "Amazonka.Personalize.Types.CampaignConfig" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "CampaignConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "itemExplorationConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))))

newCampaignConfig :: CampaignConfig Source #

Create a value of CampaignConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:itemExplorationConfig:CampaignConfig', campaignConfig_itemExplorationConfig - Specifies the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your solution uses the User-Personalization recipe.

campaignConfig_itemExplorationConfig :: Lens' CampaignConfig (Maybe (HashMap Text Text)) Source #

Specifies the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your solution uses the User-Personalization recipe.

CampaignSummary

data CampaignSummary Source #

Provides a summary of the properties of a campaign. For a complete listing, call the DescribeCampaign API.

See: newCampaignSummary smart constructor.

Constructors

CampaignSummary'

Fields

campaignArn :: Maybe Text
The Amazon Resource Name (ARN) of the campaign.
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the campaign was created.
failureReason :: Maybe Text
If a campaign fails, the reason behind the failure.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the campaign was last updated.
name :: Maybe Text
The name of the campaign.
status :: Maybe Text
The status of the campaign.
A campaign can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS

Instances

Instances details

FromJSON CampaignSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignSummary Methods parseJSON :: Value -> Parser CampaignSummary # parseJSONList :: Value -> Parser [CampaignSummary] #
Generic CampaignSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignSummary Associated Types type Rep CampaignSummary :: Type -> Type # Methods from :: CampaignSummary -> Rep CampaignSummary x # to :: Rep CampaignSummary x -> CampaignSummary #
Read CampaignSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignSummary Methods readsPrec :: Int -> ReadS CampaignSummary # readList :: ReadS [CampaignSummary] # readPrec :: ReadPrec CampaignSummary # readListPrec :: ReadPrec [CampaignSummary] #
Show CampaignSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignSummary Methods showsPrec :: Int -> CampaignSummary -> ShowS # show :: CampaignSummary -> String # showList :: [CampaignSummary] -> ShowS #
NFData CampaignSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignSummary Methods rnf :: CampaignSummary -> () #
Eq CampaignSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignSummary Methods (==) :: CampaignSummary -> CampaignSummary -> Bool # (/=) :: CampaignSummary -> CampaignSummary -> Bool #
Hashable CampaignSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignSummary Methods hashWithSalt :: Int -> CampaignSummary -> Int # hash :: CampaignSummary -> Int #
type Rep CampaignSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignSummary type Rep CampaignSummary = D1 ('MetaData "CampaignSummary" "Amazonka.Personalize.Types.CampaignSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "CampaignSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "campaignArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newCampaignSummary :: CampaignSummary Source #

Create a value of CampaignSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:campaignArn:CampaignSummary', campaignSummary_campaignArn - The Amazon Resource Name (ARN) of the campaign.

$sel:creationDateTime:CampaignSummary', campaignSummary_creationDateTime - The date and time (in Unix time) that the campaign was created.

$sel:failureReason:CampaignSummary', campaignSummary_failureReason - If a campaign fails, the reason behind the failure.

$sel:lastUpdatedDateTime:CampaignSummary', campaignSummary_lastUpdatedDateTime - The date and time (in Unix time) that the campaign was last updated.

$sel:name:CampaignSummary', campaignSummary_name - The name of the campaign.

$sel:status:CampaignSummary', campaignSummary_status - The status of the campaign.

A campaign can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

campaignSummary_campaignArn :: Lens' CampaignSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the campaign.

campaignSummary_creationDateTime :: Lens' CampaignSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the campaign was created.

campaignSummary_failureReason :: Lens' CampaignSummary (Maybe Text) Source #

If a campaign fails, the reason behind the failure.

campaignSummary_lastUpdatedDateTime :: Lens' CampaignSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the campaign was last updated.

campaignSummary_name :: Lens' CampaignSummary (Maybe Text) Source #

The name of the campaign.

campaignSummary_status :: Lens' CampaignSummary (Maybe Text) Source #

The status of the campaign.

A campaign can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

CampaignUpdateSummary

data CampaignUpdateSummary Source #

Provides a summary of the properties of a campaign update. For a complete listing, call the DescribeCampaign API.

See: newCampaignUpdateSummary smart constructor.

Constructors

CampaignUpdateSummary'

Fields

campaignConfig :: Maybe CampaignConfig
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the campaign update was created.
failureReason :: Maybe Text
If a campaign update fails, the reason behind the failure.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the campaign update was last updated.
minProvisionedTPS :: Maybe Natural
Specifies the requested minimum provisioned transactions (recommendations) per second that Amazon Personalize will support.
solutionVersionArn :: Maybe Text
The Amazon Resource Name (ARN) of the deployed solution version.
status :: Maybe Text
The status of the campaign update.
A campaign update can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS

Instances

Instances details

FromJSON CampaignUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignUpdateSummary Methods parseJSON :: Value -> Parser CampaignUpdateSummary # parseJSONList :: Value -> Parser [CampaignUpdateSummary] #
Generic CampaignUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignUpdateSummary Associated Types type Rep CampaignUpdateSummary :: Type -> Type # Methods from :: CampaignUpdateSummary -> Rep CampaignUpdateSummary x # to :: Rep CampaignUpdateSummary x -> CampaignUpdateSummary #
Read CampaignUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignUpdateSummary Methods readsPrec :: Int -> ReadS CampaignUpdateSummary # readList :: ReadS [CampaignUpdateSummary] # readPrec :: ReadPrec CampaignUpdateSummary # readListPrec :: ReadPrec [CampaignUpdateSummary] #
Show CampaignUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignUpdateSummary Methods showsPrec :: Int -> CampaignUpdateSummary -> ShowS # show :: CampaignUpdateSummary -> String # showList :: [CampaignUpdateSummary] -> ShowS #
NFData CampaignUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignUpdateSummary Methods rnf :: CampaignUpdateSummary -> () #
Eq CampaignUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignUpdateSummary Methods (==) :: CampaignUpdateSummary -> CampaignUpdateSummary -> Bool # (/=) :: CampaignUpdateSummary -> CampaignUpdateSummary -> Bool #
Hashable CampaignUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignUpdateSummary Methods hashWithSalt :: Int -> CampaignUpdateSummary -> Int # hash :: CampaignUpdateSummary -> Int #
type Rep CampaignUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.CampaignUpdateSummary type Rep CampaignUpdateSummary = D1 ('MetaData "CampaignUpdateSummary" "Amazonka.Personalize.Types.CampaignUpdateSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "CampaignUpdateSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "campaignConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CampaignConfig)) :: (S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "minProvisionedTPS") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "solutionVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newCampaignUpdateSummary :: CampaignUpdateSummary Source #

Create a value of CampaignUpdateSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:campaignConfig:CampaignUpdateSummary', campaignUpdateSummary_campaignConfig - Undocumented member.

$sel:creationDateTime:CampaignUpdateSummary', campaignUpdateSummary_creationDateTime - The date and time (in Unix time) that the campaign update was created.

$sel:failureReason:CampaignUpdateSummary', campaignUpdateSummary_failureReason - If a campaign update fails, the reason behind the failure.

$sel:lastUpdatedDateTime:CampaignUpdateSummary', campaignUpdateSummary_lastUpdatedDateTime - The date and time (in Unix time) that the campaign update was last updated.

$sel:minProvisionedTPS:CampaignUpdateSummary', campaignUpdateSummary_minProvisionedTPS - Specifies the requested minimum provisioned transactions (recommendations) per second that Amazon Personalize will support.

$sel:solutionVersionArn:CampaignUpdateSummary', campaignUpdateSummary_solutionVersionArn - The Amazon Resource Name (ARN) of the deployed solution version.

$sel:status:CampaignUpdateSummary', campaignUpdateSummary_status - The status of the campaign update.

A campaign update can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

campaignUpdateSummary_campaignConfig :: Lens' CampaignUpdateSummary (Maybe CampaignConfig) Source #

Undocumented member.

campaignUpdateSummary_creationDateTime :: Lens' CampaignUpdateSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the campaign update was created.

campaignUpdateSummary_failureReason :: Lens' CampaignUpdateSummary (Maybe Text) Source #

If a campaign update fails, the reason behind the failure.

campaignUpdateSummary_lastUpdatedDateTime :: Lens' CampaignUpdateSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the campaign update was last updated.

campaignUpdateSummary_minProvisionedTPS :: Lens' CampaignUpdateSummary (Maybe Natural) Source #

Specifies the requested minimum provisioned transactions (recommendations) per second that Amazon Personalize will support.

campaignUpdateSummary_solutionVersionArn :: Lens' CampaignUpdateSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the deployed solution version.

campaignUpdateSummary_status :: Lens' CampaignUpdateSummary (Maybe Text) Source #

The status of the campaign update.

A campaign update can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

CategoricalHyperParameterRange

data CategoricalHyperParameterRange Source #

Provides the name and range of a categorical hyperparameter.

See: newCategoricalHyperParameterRange smart constructor.

Constructors

CategoricalHyperParameterRange'
Fields name :: Maybe Text The name of the hyperparameter. values :: Maybe [Text] A list of the categories for the hyperparameter.

Instances

Instances details

FromJSON CategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.CategoricalHyperParameterRange Methods parseJSON :: Value -> Parser CategoricalHyperParameterRange # parseJSONList :: Value -> Parser [CategoricalHyperParameterRange] #
ToJSON CategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.CategoricalHyperParameterRange Methods toJSON :: CategoricalHyperParameterRange -> Value # toEncoding :: CategoricalHyperParameterRange -> Encoding # toJSONList :: [CategoricalHyperParameterRange] -> Value # toEncodingList :: [CategoricalHyperParameterRange] -> Encoding #
Generic CategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.CategoricalHyperParameterRange Associated Types type Rep CategoricalHyperParameterRange :: Type -> Type # Methods from :: CategoricalHyperParameterRange -> Rep CategoricalHyperParameterRange x # to :: Rep CategoricalHyperParameterRange x -> CategoricalHyperParameterRange #
Read CategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.CategoricalHyperParameterRange Methods readsPrec :: Int -> ReadS CategoricalHyperParameterRange # readList :: ReadS [CategoricalHyperParameterRange] # readPrec :: ReadPrec CategoricalHyperParameterRange # readListPrec :: ReadPrec [CategoricalHyperParameterRange] #
Show CategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.CategoricalHyperParameterRange Methods showsPrec :: Int -> CategoricalHyperParameterRange -> ShowS # show :: CategoricalHyperParameterRange -> String # showList :: [CategoricalHyperParameterRange] -> ShowS #
NFData CategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.CategoricalHyperParameterRange Methods rnf :: CategoricalHyperParameterRange -> () #
Eq CategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.CategoricalHyperParameterRange Methods (==) :: CategoricalHyperParameterRange -> CategoricalHyperParameterRange -> Bool # (/=) :: CategoricalHyperParameterRange -> CategoricalHyperParameterRange -> Bool #
Hashable CategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.CategoricalHyperParameterRange Methods hashWithSalt :: Int -> CategoricalHyperParameterRange -> Int # hash :: CategoricalHyperParameterRange -> Int #
type Rep CategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.CategoricalHyperParameterRange type Rep CategoricalHyperParameterRange = D1 ('MetaData "CategoricalHyperParameterRange" "Amazonka.Personalize.Types.CategoricalHyperParameterRange" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "CategoricalHyperParameterRange'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))

newCategoricalHyperParameterRange :: CategoricalHyperParameterRange Source #

Create a value of CategoricalHyperParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:CategoricalHyperParameterRange', categoricalHyperParameterRange_name - The name of the hyperparameter.

$sel:values:CategoricalHyperParameterRange', categoricalHyperParameterRange_values - A list of the categories for the hyperparameter.

categoricalHyperParameterRange_name :: Lens' CategoricalHyperParameterRange (Maybe Text) Source #

The name of the hyperparameter.

categoricalHyperParameterRange_values :: Lens' CategoricalHyperParameterRange (Maybe [Text]) Source #

A list of the categories for the hyperparameter.

ContinuousHyperParameterRange

data ContinuousHyperParameterRange Source #

Provides the name and range of a continuous hyperparameter.

See: newContinuousHyperParameterRange smart constructor.

Constructors

ContinuousHyperParameterRange'
Fields maxValue :: Maybe Double The maximum allowable value for the hyperparameter. minValue :: Maybe Double The minimum allowable value for the hyperparameter. name :: Maybe Text The name of the hyperparameter.

Instances

Instances details

FromJSON ContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.ContinuousHyperParameterRange Methods parseJSON :: Value -> Parser ContinuousHyperParameterRange # parseJSONList :: Value -> Parser [ContinuousHyperParameterRange] #
ToJSON ContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.ContinuousHyperParameterRange Methods toJSON :: ContinuousHyperParameterRange -> Value # toEncoding :: ContinuousHyperParameterRange -> Encoding # toJSONList :: [ContinuousHyperParameterRange] -> Value # toEncodingList :: [ContinuousHyperParameterRange] -> Encoding #
Generic ContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.ContinuousHyperParameterRange Associated Types type Rep ContinuousHyperParameterRange :: Type -> Type # Methods from :: ContinuousHyperParameterRange -> Rep ContinuousHyperParameterRange x # to :: Rep ContinuousHyperParameterRange x -> ContinuousHyperParameterRange #
Read ContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.ContinuousHyperParameterRange Methods readsPrec :: Int -> ReadS ContinuousHyperParameterRange # readList :: ReadS [ContinuousHyperParameterRange] # readPrec :: ReadPrec ContinuousHyperParameterRange # readListPrec :: ReadPrec [ContinuousHyperParameterRange] #
Show ContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.ContinuousHyperParameterRange Methods showsPrec :: Int -> ContinuousHyperParameterRange -> ShowS # show :: ContinuousHyperParameterRange -> String # showList :: [ContinuousHyperParameterRange] -> ShowS #
NFData ContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.ContinuousHyperParameterRange Methods rnf :: ContinuousHyperParameterRange -> () #
Eq ContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.ContinuousHyperParameterRange Methods (==) :: ContinuousHyperParameterRange -> ContinuousHyperParameterRange -> Bool # (/=) :: ContinuousHyperParameterRange -> ContinuousHyperParameterRange -> Bool #
Hashable ContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.ContinuousHyperParameterRange Methods hashWithSalt :: Int -> ContinuousHyperParameterRange -> Int # hash :: ContinuousHyperParameterRange -> Int #
type Rep ContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.ContinuousHyperParameterRange type Rep ContinuousHyperParameterRange = D1 ('MetaData "ContinuousHyperParameterRange" "Amazonka.Personalize.Types.ContinuousHyperParameterRange" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "ContinuousHyperParameterRange'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newContinuousHyperParameterRange :: ContinuousHyperParameterRange Source #

Create a value of ContinuousHyperParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxValue:ContinuousHyperParameterRange', continuousHyperParameterRange_maxValue - The maximum allowable value for the hyperparameter.

$sel:minValue:ContinuousHyperParameterRange', continuousHyperParameterRange_minValue - The minimum allowable value for the hyperparameter.

$sel:name:ContinuousHyperParameterRange', continuousHyperParameterRange_name - The name of the hyperparameter.

continuousHyperParameterRange_maxValue :: Lens' ContinuousHyperParameterRange (Maybe Double) Source #

The maximum allowable value for the hyperparameter.

continuousHyperParameterRange_minValue :: Lens' ContinuousHyperParameterRange (Maybe Double) Source #

The minimum allowable value for the hyperparameter.

continuousHyperParameterRange_name :: Lens' ContinuousHyperParameterRange (Maybe Text) Source #

The name of the hyperparameter.

DataSource

data DataSource Source #

Describes the data source that contains the data to upload to a dataset.

See: newDataSource smart constructor.

Constructors

DataSource'
Fields dataLocation :: Maybe Text The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For example: s3://bucket-name/folder-name/

Instances

Instances details

FromJSON DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods parseJSON :: Value -> Parser DataSource # parseJSONList :: Value -> Parser [DataSource] #
ToJSON DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods toJSON :: DataSource -> Value # toEncoding :: DataSource -> Encoding # toJSONList :: [DataSource] -> Value # toEncodingList :: [DataSource] -> Encoding #
Generic DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Associated Types type Rep DataSource :: Type -> Type # Methods from :: DataSource -> Rep DataSource x # to :: Rep DataSource x -> DataSource #
Read DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods readsPrec :: Int -> ReadS DataSource # readList :: ReadS [DataSource] # readPrec :: ReadPrec DataSource # readListPrec :: ReadPrec [DataSource] #
Show DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods showsPrec :: Int -> DataSource -> ShowS # show :: DataSource -> String # showList :: [DataSource] -> ShowS #
NFData DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods rnf :: DataSource -> () #
Eq DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods (==) :: DataSource -> DataSource -> Bool # (/=) :: DataSource -> DataSource -> Bool #
Hashable DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods hashWithSalt :: Int -> DataSource -> Int # hash :: DataSource -> Int #
type Rep DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource type Rep DataSource = D1 ('MetaData "DataSource" "Amazonka.Personalize.Types.DataSource" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dataLocation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newDataSource :: DataSource Source #

Create a value of DataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dataLocation:DataSource', dataSource_dataLocation - The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For example:

s3://bucket-name/folder-name/

dataSource_dataLocation :: Lens' DataSource (Maybe Text) Source #

The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For example:

s3://bucket-name/folder-name/

Dataset

data Dataset Source #

Provides metadata for a dataset.

See: newDataset smart constructor.

Constructors

Dataset'

Fields

creationDateTime :: Maybe POSIX
The creation date and time (in Unix time) of the dataset.
datasetArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset that you want metadata for.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset group.
datasetType :: Maybe Text
One of the following values:
- Interactions
- Items
- Users
lastUpdatedDateTime :: Maybe POSIX
A time stamp that shows when the dataset was updated.
name :: Maybe Text
The name of the dataset.
schemaArn :: Maybe Text
The ARN of the associated schema.
status :: Maybe Text
The status of the dataset.
A dataset can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS

Instances

Instances details

FromJSON Dataset Source #
Instance details Defined in Amazonka.Personalize.Types.Dataset Methods parseJSON :: Value -> Parser Dataset # parseJSONList :: Value -> Parser [Dataset] #
Generic Dataset Source #
Instance details Defined in Amazonka.Personalize.Types.Dataset Associated Types type Rep Dataset :: Type -> Type # Methods from :: Dataset -> Rep Dataset x # to :: Rep Dataset x -> Dataset #
Read Dataset Source #
Instance details Defined in Amazonka.Personalize.Types.Dataset Methods readsPrec :: Int -> ReadS Dataset # readList :: ReadS [Dataset] # readPrec :: ReadPrec Dataset # readListPrec :: ReadPrec [Dataset] #
Show Dataset Source #
Instance details Defined in Amazonka.Personalize.Types.Dataset Methods showsPrec :: Int -> Dataset -> ShowS # show :: Dataset -> String # showList :: [Dataset] -> ShowS #
NFData Dataset Source #
Instance details Defined in Amazonka.Personalize.Types.Dataset Methods rnf :: Dataset -> () #
Eq Dataset Source #
Instance details Defined in Amazonka.Personalize.Types.Dataset Methods (==) :: Dataset -> Dataset -> Bool # (/=) :: Dataset -> Dataset -> Bool #
Hashable Dataset Source #
Instance details Defined in Amazonka.Personalize.Types.Dataset Methods hashWithSalt :: Int -> Dataset -> Int # hash :: Dataset -> Int #
type Rep Dataset Source #
Instance details Defined in Amazonka.Personalize.Types.Dataset type Rep Dataset = D1 ('MetaData "Dataset" "Amazonka.Personalize.Types.Dataset" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "Dataset'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "datasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "schemaArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDataset :: Dataset Source #

Create a value of Dataset with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:Dataset', dataset_creationDateTime - The creation date and time (in Unix time) of the dataset.

$sel:datasetArn:Dataset', dataset_datasetArn - The Amazon Resource Name (ARN) of the dataset that you want metadata for.

$sel:datasetGroupArn:Dataset', dataset_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group.

$sel:datasetType:Dataset', dataset_datasetType - One of the following values:

Interactions
Items
Users

$sel:lastUpdatedDateTime:Dataset', dataset_lastUpdatedDateTime - A time stamp that shows when the dataset was updated.

$sel:name:Dataset', dataset_name - The name of the dataset.

$sel:schemaArn:Dataset', dataset_schemaArn - The ARN of the associated schema.

$sel:status:Dataset', dataset_status - The status of the dataset.

A dataset can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

dataset_creationDateTime :: Lens' Dataset (Maybe UTCTime) Source #

The creation date and time (in Unix time) of the dataset.

dataset_datasetArn :: Lens' Dataset (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset that you want metadata for.

dataset_datasetGroupArn :: Lens' Dataset (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset group.

dataset_datasetType :: Lens' Dataset (Maybe Text) Source #

One of the following values:

Interactions
Items
Users

dataset_lastUpdatedDateTime :: Lens' Dataset (Maybe UTCTime) Source #

A time stamp that shows when the dataset was updated.

dataset_name :: Lens' Dataset (Maybe Text) Source #

The name of the dataset.

dataset_schemaArn :: Lens' Dataset (Maybe Text) Source #

The ARN of the associated schema.

dataset_status :: Lens' Dataset (Maybe Text) Source #

The status of the dataset.

A dataset can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

DatasetExportJob

data DatasetExportJob Source #

Describes a job that exports a dataset to an Amazon S3 bucket. For more information, see CreateDatasetExportJob.

A dataset export job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

See: newDatasetExportJob smart constructor.

Constructors

DatasetExportJob'

Fields

creationDateTime :: Maybe POSIX
The creation date and time (in Unix time) of the dataset export job.
datasetArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset to export.
datasetExportJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset export job.
failureReason :: Maybe Text
If a dataset export job fails, provides the reason why.
ingestionMode :: Maybe IngestionMode
The data to export, based on how you imported the data. You can choose to export BULK data that you imported using a dataset import job, PUT data that you imported incrementally (using the console, PutEvents, PutUsers and PutItems operations), or ALL for both types. The default value is PUT.
jobName :: Maybe Text
The name of the export job.
jobOutput :: Maybe DatasetExportJobOutput
The path to the Amazon S3 bucket where the job's output is stored. For example:
```
s3://bucket-name/folder-name/
```
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) the status of the dataset export job was last updated.
roleArn :: Maybe Text
The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.
status :: Maybe Text
The status of the dataset export job.
A dataset export job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

Instances

Instances details

FromJSON DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Methods parseJSON :: Value -> Parser DatasetExportJob # parseJSONList :: Value -> Parser [DatasetExportJob] #
Generic DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Associated Types type Rep DatasetExportJob :: Type -> Type # Methods from :: DatasetExportJob -> Rep DatasetExportJob x # to :: Rep DatasetExportJob x -> DatasetExportJob #
Read DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Methods readsPrec :: Int -> ReadS DatasetExportJob # readList :: ReadS [DatasetExportJob] # readPrec :: ReadPrec DatasetExportJob # readListPrec :: ReadPrec [DatasetExportJob] #
Show DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Methods showsPrec :: Int -> DatasetExportJob -> ShowS # show :: DatasetExportJob -> String # showList :: [DatasetExportJob] -> ShowS #
NFData DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Methods rnf :: DatasetExportJob -> () #
Eq DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Methods (==) :: DatasetExportJob -> DatasetExportJob -> Bool # (/=) :: DatasetExportJob -> DatasetExportJob -> Bool #
Hashable DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Methods hashWithSalt :: Int -> DatasetExportJob -> Int # hash :: DatasetExportJob -> Int #
type Rep DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob type Rep DatasetExportJob = D1 ('MetaData "DatasetExportJob" "Amazonka.Personalize.Types.DatasetExportJob" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DatasetExportJob'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "datasetExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "ingestionMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe IngestionMode))))) :: ((S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "jobOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetExportJobOutput))) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newDatasetExportJob :: DatasetExportJob Source #

Create a value of DatasetExportJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:DatasetExportJob', datasetExportJob_creationDateTime - The creation date and time (in Unix time) of the dataset export job.

$sel:datasetArn:DatasetExportJob', datasetExportJob_datasetArn - The Amazon Resource Name (ARN) of the dataset to export.

$sel:datasetExportJobArn:DatasetExportJob', datasetExportJob_datasetExportJobArn - The Amazon Resource Name (ARN) of the dataset export job.

$sel:failureReason:DatasetExportJob', datasetExportJob_failureReason - If a dataset export job fails, provides the reason why.

$sel:ingestionMode:DatasetExportJob', datasetExportJob_ingestionMode - The data to export, based on how you imported the data. You can choose to export BULK data that you imported using a dataset import job, PUT data that you imported incrementally (using the console, PutEvents, PutUsers and PutItems operations), or ALL for both types. The default value is PUT.

$sel:jobName:DatasetExportJob', datasetExportJob_jobName - The name of the export job.

$sel:jobOutput:DatasetExportJob', datasetExportJob_jobOutput - The path to the Amazon S3 bucket where the job's output is stored. For example:

s3://bucket-name/folder-name/

$sel:lastUpdatedDateTime:DatasetExportJob', datasetExportJob_lastUpdatedDateTime - The date and time (in Unix time) the status of the dataset export job was last updated.

$sel:roleArn:DatasetExportJob', datasetExportJob_roleArn - The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.

$sel:status:DatasetExportJob', datasetExportJob_status - The status of the dataset export job.

A dataset export job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

datasetExportJob_creationDateTime :: Lens' DatasetExportJob (Maybe UTCTime) Source #

The creation date and time (in Unix time) of the dataset export job.

datasetExportJob_datasetArn :: Lens' DatasetExportJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset to export.

datasetExportJob_datasetExportJobArn :: Lens' DatasetExportJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset export job.

datasetExportJob_failureReason :: Lens' DatasetExportJob (Maybe Text) Source #

If a dataset export job fails, provides the reason why.

datasetExportJob_ingestionMode :: Lens' DatasetExportJob (Maybe IngestionMode) Source #

The data to export, based on how you imported the data. You can choose to export BULK data that you imported using a dataset import job, PUT data that you imported incrementally (using the console, PutEvents, PutUsers and PutItems operations), or ALL for both types. The default value is PUT.

datasetExportJob_jobName :: Lens' DatasetExportJob (Maybe Text) Source #

The name of the export job.

datasetExportJob_jobOutput :: Lens' DatasetExportJob (Maybe DatasetExportJobOutput) Source #

The path to the Amazon S3 bucket where the job's output is stored. For example:

s3://bucket-name/folder-name/

datasetExportJob_lastUpdatedDateTime :: Lens' DatasetExportJob (Maybe UTCTime) Source #

The date and time (in Unix time) the status of the dataset export job was last updated.

datasetExportJob_roleArn :: Lens' DatasetExportJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.

datasetExportJob_status :: Lens' DatasetExportJob (Maybe Text) Source #

The status of the dataset export job.

A dataset export job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

DatasetExportJobOutput

data DatasetExportJobOutput Source #

The output configuration parameters of a dataset export job.

See: newDatasetExportJobOutput smart constructor.

Constructors

DatasetExportJobOutput'
Fields s3DataDestination :: S3DataConfig

Instances

Instances details

FromJSON DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods parseJSON :: Value -> Parser DatasetExportJobOutput # parseJSONList :: Value -> Parser [DatasetExportJobOutput] #
ToJSON DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods toJSON :: DatasetExportJobOutput -> Value # toEncoding :: DatasetExportJobOutput -> Encoding # toJSONList :: [DatasetExportJobOutput] -> Value # toEncodingList :: [DatasetExportJobOutput] -> Encoding #
Generic DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Associated Types type Rep DatasetExportJobOutput :: Type -> Type # Methods from :: DatasetExportJobOutput -> Rep DatasetExportJobOutput x # to :: Rep DatasetExportJobOutput x -> DatasetExportJobOutput #
Read DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods readsPrec :: Int -> ReadS DatasetExportJobOutput # readList :: ReadS [DatasetExportJobOutput] # readPrec :: ReadPrec DatasetExportJobOutput # readListPrec :: ReadPrec [DatasetExportJobOutput] #
Show DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods showsPrec :: Int -> DatasetExportJobOutput -> ShowS # show :: DatasetExportJobOutput -> String # showList :: [DatasetExportJobOutput] -> ShowS #
NFData DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods rnf :: DatasetExportJobOutput -> () #
Eq DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods (==) :: DatasetExportJobOutput -> DatasetExportJobOutput -> Bool # (/=) :: DatasetExportJobOutput -> DatasetExportJobOutput -> Bool #
Hashable DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods hashWithSalt :: Int -> DatasetExportJobOutput -> Int # hash :: DatasetExportJobOutput -> Int #
type Rep DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput type Rep DatasetExportJobOutput = D1 ('MetaData "DatasetExportJobOutput" "Amazonka.Personalize.Types.DatasetExportJobOutput" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DatasetExportJobOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataDestination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3DataConfig)))

newDatasetExportJobOutput Source #

Arguments

:: S3DataConfig	`$sel:s3DataDestination:DatasetExportJobOutput'`
-> DatasetExportJobOutput

Create a value of DatasetExportJobOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataDestination:DatasetExportJobOutput', datasetExportJobOutput_s3DataDestination - Undocumented member.

datasetExportJobOutput_s3DataDestination :: Lens' DatasetExportJobOutput S3DataConfig Source #

Undocumented member.

DatasetExportJobSummary

data DatasetExportJobSummary Source #

Provides a summary of the properties of a dataset export job. For a complete listing, call the DescribeDatasetExportJob API.

See: newDatasetExportJobSummary smart constructor.

Constructors

DatasetExportJobSummary'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset export job was created.
datasetExportJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset export job.
failureReason :: Maybe Text
If a dataset export job fails, the reason behind the failure.
jobName :: Maybe Text
The name of the dataset export job.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset export job status was last updated.
status :: Maybe Text
The status of the dataset export job.
A dataset export job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

Instances

Instances details

FromJSON DatasetExportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobSummary Methods parseJSON :: Value -> Parser DatasetExportJobSummary # parseJSONList :: Value -> Parser [DatasetExportJobSummary] #
Generic DatasetExportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobSummary Associated Types type Rep DatasetExportJobSummary :: Type -> Type # Methods from :: DatasetExportJobSummary -> Rep DatasetExportJobSummary x # to :: Rep DatasetExportJobSummary x -> DatasetExportJobSummary #
Read DatasetExportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobSummary Methods readsPrec :: Int -> ReadS DatasetExportJobSummary # readList :: ReadS [DatasetExportJobSummary] # readPrec :: ReadPrec DatasetExportJobSummary # readListPrec :: ReadPrec [DatasetExportJobSummary] #
Show DatasetExportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobSummary Methods showsPrec :: Int -> DatasetExportJobSummary -> ShowS # show :: DatasetExportJobSummary -> String # showList :: [DatasetExportJobSummary] -> ShowS #
NFData DatasetExportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobSummary Methods rnf :: DatasetExportJobSummary -> () #
Eq DatasetExportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobSummary Methods (==) :: DatasetExportJobSummary -> DatasetExportJobSummary -> Bool # (/=) :: DatasetExportJobSummary -> DatasetExportJobSummary -> Bool #
Hashable DatasetExportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobSummary Methods hashWithSalt :: Int -> DatasetExportJobSummary -> Int # hash :: DatasetExportJobSummary -> Int #
type Rep DatasetExportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobSummary type Rep DatasetExportJobSummary = D1 ('MetaData "DatasetExportJobSummary" "Amazonka.Personalize.Types.DatasetExportJobSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DatasetExportJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "datasetExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDatasetExportJobSummary :: DatasetExportJobSummary Source #

Create a value of DatasetExportJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:DatasetExportJobSummary', datasetExportJobSummary_creationDateTime - The date and time (in Unix time) that the dataset export job was created.

$sel:datasetExportJobArn:DatasetExportJobSummary', datasetExportJobSummary_datasetExportJobArn - The Amazon Resource Name (ARN) of the dataset export job.

$sel:failureReason:DatasetExportJobSummary', datasetExportJobSummary_failureReason - If a dataset export job fails, the reason behind the failure.

$sel:jobName:DatasetExportJobSummary', datasetExportJobSummary_jobName - The name of the dataset export job.

$sel:lastUpdatedDateTime:DatasetExportJobSummary', datasetExportJobSummary_lastUpdatedDateTime - The date and time (in Unix time) that the dataset export job status was last updated.

$sel:status:DatasetExportJobSummary', datasetExportJobSummary_status - The status of the dataset export job.

A dataset export job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

datasetExportJobSummary_creationDateTime :: Lens' DatasetExportJobSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset export job was created.

datasetExportJobSummary_datasetExportJobArn :: Lens' DatasetExportJobSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset export job.

datasetExportJobSummary_failureReason :: Lens' DatasetExportJobSummary (Maybe Text) Source #

If a dataset export job fails, the reason behind the failure.

datasetExportJobSummary_jobName :: Lens' DatasetExportJobSummary (Maybe Text) Source #

The name of the dataset export job.

datasetExportJobSummary_lastUpdatedDateTime :: Lens' DatasetExportJobSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset export job status was last updated.

datasetExportJobSummary_status :: Lens' DatasetExportJobSummary (Maybe Text) Source #

The status of the dataset export job.

A dataset export job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

DatasetGroup

data DatasetGroup Source #

A dataset group is a collection of related datasets (Interactions, User, and Item). You create a dataset group by calling CreateDatasetGroup. You then create a dataset and add it to a dataset group by calling CreateDataset. The dataset group is used to create and train a solution by calling CreateSolution. A dataset group can contain only one of each type of dataset.

You can specify an Key Management Service (KMS) key to encrypt the datasets in the group.

See: newDatasetGroup smart constructor.

Constructors

DatasetGroup'

Fields

creationDateTime :: Maybe POSIX
The creation date and time (in Unix time) of the dataset group.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset group.
domain :: Maybe Domain
The domain of a Domain dataset group.
failureReason :: Maybe Text
If creating a dataset group fails, provides the reason why.
kmsKeyArn :: Maybe Text
The Amazon Resource Name (ARN) of the Key Management Service (KMS) key used to encrypt the datasets.
lastUpdatedDateTime :: Maybe POSIX
The last update date and time (in Unix time) of the dataset group.
name :: Maybe Text
The name of the dataset group.
roleArn :: Maybe Text
The ARN of the IAM role that has permissions to create the dataset group.
status :: Maybe Text
The current status of the dataset group.
A dataset group can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING

Instances

Instances details

FromJSON DatasetGroup Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroup Methods parseJSON :: Value -> Parser DatasetGroup # parseJSONList :: Value -> Parser [DatasetGroup] #
Generic DatasetGroup Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroup Associated Types type Rep DatasetGroup :: Type -> Type # Methods from :: DatasetGroup -> Rep DatasetGroup x # to :: Rep DatasetGroup x -> DatasetGroup #
Read DatasetGroup Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroup Methods readsPrec :: Int -> ReadS DatasetGroup # readList :: ReadS [DatasetGroup] # readPrec :: ReadPrec DatasetGroup # readListPrec :: ReadPrec [DatasetGroup] #
Show DatasetGroup Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroup Methods showsPrec :: Int -> DatasetGroup -> ShowS # show :: DatasetGroup -> String # showList :: [DatasetGroup] -> ShowS #
NFData DatasetGroup Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroup Methods rnf :: DatasetGroup -> () #
Eq DatasetGroup Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroup Methods (==) :: DatasetGroup -> DatasetGroup -> Bool # (/=) :: DatasetGroup -> DatasetGroup -> Bool #
Hashable DatasetGroup Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroup Methods hashWithSalt :: Int -> DatasetGroup -> Int # hash :: DatasetGroup -> Int #
type Rep DatasetGroup Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroup type Rep DatasetGroup = D1 ('MetaData "DatasetGroup" "Amazonka.Personalize.Types.DatasetGroup" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DatasetGroup'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Domain)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "kmsKeyArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newDatasetGroup :: DatasetGroup Source #

Create a value of DatasetGroup with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:DatasetGroup', datasetGroup_creationDateTime - The creation date and time (in Unix time) of the dataset group.

$sel:datasetGroupArn:DatasetGroup', datasetGroup_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group.

$sel:domain:DatasetGroup', datasetGroup_domain - The domain of a Domain dataset group.

$sel:failureReason:DatasetGroup', datasetGroup_failureReason - If creating a dataset group fails, provides the reason why.

$sel:kmsKeyArn:DatasetGroup', datasetGroup_kmsKeyArn - The Amazon Resource Name (ARN) of the Key Management Service (KMS) key used to encrypt the datasets.

$sel:lastUpdatedDateTime:DatasetGroup', datasetGroup_lastUpdatedDateTime - The last update date and time (in Unix time) of the dataset group.

$sel:name:DatasetGroup', datasetGroup_name - The name of the dataset group.

$sel:roleArn:DatasetGroup', datasetGroup_roleArn - The ARN of the IAM role that has permissions to create the dataset group.

$sel:status:DatasetGroup', datasetGroup_status - The current status of the dataset group.

A dataset group can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING

datasetGroup_creationDateTime :: Lens' DatasetGroup (Maybe UTCTime) Source #

The creation date and time (in Unix time) of the dataset group.

datasetGroup_datasetGroupArn :: Lens' DatasetGroup (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset group.

datasetGroup_domain :: Lens' DatasetGroup (Maybe Domain) Source #

The domain of a Domain dataset group.

datasetGroup_failureReason :: Lens' DatasetGroup (Maybe Text) Source #

If creating a dataset group fails, provides the reason why.

datasetGroup_kmsKeyArn :: Lens' DatasetGroup (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Key Management Service (KMS) key used to encrypt the datasets.

datasetGroup_lastUpdatedDateTime :: Lens' DatasetGroup (Maybe UTCTime) Source #

The last update date and time (in Unix time) of the dataset group.

datasetGroup_name :: Lens' DatasetGroup (Maybe Text) Source #

The name of the dataset group.

datasetGroup_roleArn :: Lens' DatasetGroup (Maybe Text) Source #

The ARN of the IAM role that has permissions to create the dataset group.

datasetGroup_status :: Lens' DatasetGroup (Maybe Text) Source #

The current status of the dataset group.

A dataset group can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING

DatasetGroupSummary

data DatasetGroupSummary Source #

Provides a summary of the properties of a dataset group. For a complete listing, call the DescribeDatasetGroup API.

See: newDatasetGroupSummary smart constructor.

Constructors

DatasetGroupSummary'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset group was created.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset group.
domain :: Maybe Domain
The domain of a Domain dataset group.
failureReason :: Maybe Text
If creating a dataset group fails, the reason behind the failure.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset group was last updated.
name :: Maybe Text
The name of the dataset group.
status :: Maybe Text
The status of the dataset group.
A dataset group can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING

Instances

Instances details

FromJSON DatasetGroupSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroupSummary Methods parseJSON :: Value -> Parser DatasetGroupSummary # parseJSONList :: Value -> Parser [DatasetGroupSummary] #
Generic DatasetGroupSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroupSummary Associated Types type Rep DatasetGroupSummary :: Type -> Type # Methods from :: DatasetGroupSummary -> Rep DatasetGroupSummary x # to :: Rep DatasetGroupSummary x -> DatasetGroupSummary #
Read DatasetGroupSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroupSummary Methods readsPrec :: Int -> ReadS DatasetGroupSummary # readList :: ReadS [DatasetGroupSummary] # readPrec :: ReadPrec DatasetGroupSummary # readListPrec :: ReadPrec [DatasetGroupSummary] #
Show DatasetGroupSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroupSummary Methods showsPrec :: Int -> DatasetGroupSummary -> ShowS # show :: DatasetGroupSummary -> String # showList :: [DatasetGroupSummary] -> ShowS #
NFData DatasetGroupSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroupSummary Methods rnf :: DatasetGroupSummary -> () #
Eq DatasetGroupSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroupSummary Methods (==) :: DatasetGroupSummary -> DatasetGroupSummary -> Bool # (/=) :: DatasetGroupSummary -> DatasetGroupSummary -> Bool #
Hashable DatasetGroupSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroupSummary Methods hashWithSalt :: Int -> DatasetGroupSummary -> Int # hash :: DatasetGroupSummary -> Int #
type Rep DatasetGroupSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetGroupSummary type Rep DatasetGroupSummary = D1 ('MetaData "DatasetGroupSummary" "Amazonka.Personalize.Types.DatasetGroupSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DatasetGroupSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Domain)))) :: ((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDatasetGroupSummary :: DatasetGroupSummary Source #

Create a value of DatasetGroupSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:DatasetGroupSummary', datasetGroupSummary_creationDateTime - The date and time (in Unix time) that the dataset group was created.

$sel:datasetGroupArn:DatasetGroupSummary', datasetGroupSummary_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group.

$sel:domain:DatasetGroupSummary', datasetGroupSummary_domain - The domain of a Domain dataset group.

$sel:failureReason:DatasetGroupSummary', datasetGroupSummary_failureReason - If creating a dataset group fails, the reason behind the failure.

$sel:lastUpdatedDateTime:DatasetGroupSummary', datasetGroupSummary_lastUpdatedDateTime - The date and time (in Unix time) that the dataset group was last updated.

$sel:name:DatasetGroupSummary', datasetGroupSummary_name - The name of the dataset group.

$sel:status:DatasetGroupSummary', datasetGroupSummary_status - The status of the dataset group.

A dataset group can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING

datasetGroupSummary_creationDateTime :: Lens' DatasetGroupSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset group was created.

datasetGroupSummary_datasetGroupArn :: Lens' DatasetGroupSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset group.

datasetGroupSummary_domain :: Lens' DatasetGroupSummary (Maybe Domain) Source #

The domain of a Domain dataset group.

datasetGroupSummary_failureReason :: Lens' DatasetGroupSummary (Maybe Text) Source #

If creating a dataset group fails, the reason behind the failure.

datasetGroupSummary_lastUpdatedDateTime :: Lens' DatasetGroupSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset group was last updated.

datasetGroupSummary_name :: Lens' DatasetGroupSummary (Maybe Text) Source #

The name of the dataset group.

datasetGroupSummary_status :: Lens' DatasetGroupSummary (Maybe Text) Source #

The status of the dataset group.

A dataset group can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING

DatasetImportJob

data DatasetImportJob Source #

Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset. For more information, see CreateDatasetImportJob.

A dataset import job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

See: newDatasetImportJob smart constructor.

Constructors

DatasetImportJob'

Fields

creationDateTime :: Maybe POSIX
The creation date and time (in Unix time) of the dataset import job.
dataSource :: Maybe DataSource
The Amazon S3 bucket that contains the training data to import.
datasetArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset that receives the imported data.
datasetImportJobArn :: Maybe Text
The ARN of the dataset import job.
failureReason :: Maybe Text
If a dataset import job fails, provides the reason why.
importMode :: Maybe ImportMode
The import mode used by the dataset import job to import new records.
jobName :: Maybe Text
The name of the import job.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) the dataset was last updated.
publishAttributionMetricsToS3 :: Maybe Bool
Whether the job publishes metrics to Amazon S3 for a metric attribution.
roleArn :: Maybe Text
The ARN of the IAM role that has permissions to read from the Amazon S3 data source.
status :: Maybe Text
The status of the dataset import job.
A dataset import job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

Instances

Instances details

FromJSON DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Methods parseJSON :: Value -> Parser DatasetImportJob # parseJSONList :: Value -> Parser [DatasetImportJob] #
Generic DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Associated Types type Rep DatasetImportJob :: Type -> Type # Methods from :: DatasetImportJob -> Rep DatasetImportJob x # to :: Rep DatasetImportJob x -> DatasetImportJob #
Read DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Methods readsPrec :: Int -> ReadS DatasetImportJob # readList :: ReadS [DatasetImportJob] # readPrec :: ReadPrec DatasetImportJob # readListPrec :: ReadPrec [DatasetImportJob] #
Show DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Methods showsPrec :: Int -> DatasetImportJob -> ShowS # show :: DatasetImportJob -> String # showList :: [DatasetImportJob] -> ShowS #
NFData DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Methods rnf :: DatasetImportJob -> () #
Eq DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Methods (==) :: DatasetImportJob -> DatasetImportJob -> Bool # (/=) :: DatasetImportJob -> DatasetImportJob -> Bool #
Hashable DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Methods hashWithSalt :: Int -> DatasetImportJob -> Int # hash :: DatasetImportJob -> Int #
type Rep DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob type Rep DatasetImportJob = D1 ('MetaData "DatasetImportJob" "Amazonka.Personalize.Types.DatasetImportJob" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DatasetImportJob'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataSource))) :: (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "datasetImportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "importMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ImportMode)) :: (S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "publishAttributionMetricsToS3") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newDatasetImportJob :: DatasetImportJob Source #

Create a value of DatasetImportJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:DatasetImportJob', datasetImportJob_creationDateTime - The creation date and time (in Unix time) of the dataset import job.

$sel:dataSource:DatasetImportJob', datasetImportJob_dataSource - The Amazon S3 bucket that contains the training data to import.

$sel:datasetArn:DatasetImportJob', datasetImportJob_datasetArn - The Amazon Resource Name (ARN) of the dataset that receives the imported data.

$sel:datasetImportJobArn:DatasetImportJob', datasetImportJob_datasetImportJobArn - The ARN of the dataset import job.

$sel:failureReason:DatasetImportJob', datasetImportJob_failureReason - If a dataset import job fails, provides the reason why.

$sel:importMode:DatasetImportJob', datasetImportJob_importMode - The import mode used by the dataset import job to import new records.

$sel:jobName:DatasetImportJob', datasetImportJob_jobName - The name of the import job.

$sel:lastUpdatedDateTime:DatasetImportJob', datasetImportJob_lastUpdatedDateTime - The date and time (in Unix time) the dataset was last updated.

$sel:publishAttributionMetricsToS3:DatasetImportJob', datasetImportJob_publishAttributionMetricsToS3 - Whether the job publishes metrics to Amazon S3 for a metric attribution.

$sel:roleArn:DatasetImportJob', datasetImportJob_roleArn - The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

$sel:status:DatasetImportJob', datasetImportJob_status - The status of the dataset import job.

A dataset import job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

datasetImportJob_creationDateTime :: Lens' DatasetImportJob (Maybe UTCTime) Source #

The creation date and time (in Unix time) of the dataset import job.

datasetImportJob_dataSource :: Lens' DatasetImportJob (Maybe DataSource) Source #

The Amazon S3 bucket that contains the training data to import.

datasetImportJob_datasetArn :: Lens' DatasetImportJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset that receives the imported data.

datasetImportJob_datasetImportJobArn :: Lens' DatasetImportJob (Maybe Text) Source #

The ARN of the dataset import job.

datasetImportJob_failureReason :: Lens' DatasetImportJob (Maybe Text) Source #

If a dataset import job fails, provides the reason why.

datasetImportJob_importMode :: Lens' DatasetImportJob (Maybe ImportMode) Source #

The import mode used by the dataset import job to import new records.

datasetImportJob_jobName :: Lens' DatasetImportJob (Maybe Text) Source #

The name of the import job.

datasetImportJob_lastUpdatedDateTime :: Lens' DatasetImportJob (Maybe UTCTime) Source #

The date and time (in Unix time) the dataset was last updated.

datasetImportJob_publishAttributionMetricsToS3 :: Lens' DatasetImportJob (Maybe Bool) Source #

Whether the job publishes metrics to Amazon S3 for a metric attribution.

datasetImportJob_roleArn :: Lens' DatasetImportJob (Maybe Text) Source #

The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

datasetImportJob_status :: Lens' DatasetImportJob (Maybe Text) Source #

The status of the dataset import job.

A dataset import job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

DatasetImportJobSummary

data DatasetImportJobSummary Source #

Provides a summary of the properties of a dataset import job. For a complete listing, call the DescribeDatasetImportJob API.

See: newDatasetImportJobSummary smart constructor.

Constructors

DatasetImportJobSummary'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset import job was created.
datasetImportJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset import job.
failureReason :: Maybe Text
If a dataset import job fails, the reason behind the failure.
importMode :: Maybe ImportMode
The import mode the dataset import job used to update the data in the dataset. For more information see Updating existing bulk data.
jobName :: Maybe Text
The name of the dataset import job.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset import job status was last updated.
status :: Maybe Text
The status of the dataset import job.
A dataset import job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

Instances

Instances details

FromJSON DatasetImportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJobSummary Methods parseJSON :: Value -> Parser DatasetImportJobSummary # parseJSONList :: Value -> Parser [DatasetImportJobSummary] #
Generic DatasetImportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJobSummary Associated Types type Rep DatasetImportJobSummary :: Type -> Type # Methods from :: DatasetImportJobSummary -> Rep DatasetImportJobSummary x # to :: Rep DatasetImportJobSummary x -> DatasetImportJobSummary #
Read DatasetImportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJobSummary Methods readsPrec :: Int -> ReadS DatasetImportJobSummary # readList :: ReadS [DatasetImportJobSummary] # readPrec :: ReadPrec DatasetImportJobSummary # readListPrec :: ReadPrec [DatasetImportJobSummary] #
Show DatasetImportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJobSummary Methods showsPrec :: Int -> DatasetImportJobSummary -> ShowS # show :: DatasetImportJobSummary -> String # showList :: [DatasetImportJobSummary] -> ShowS #
NFData DatasetImportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJobSummary Methods rnf :: DatasetImportJobSummary -> () #
Eq DatasetImportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJobSummary Methods (==) :: DatasetImportJobSummary -> DatasetImportJobSummary -> Bool # (/=) :: DatasetImportJobSummary -> DatasetImportJobSummary -> Bool #
Hashable DatasetImportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJobSummary Methods hashWithSalt :: Int -> DatasetImportJobSummary -> Int # hash :: DatasetImportJobSummary -> Int #
type Rep DatasetImportJobSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJobSummary type Rep DatasetImportJobSummary = D1 ('MetaData "DatasetImportJobSummary" "Amazonka.Personalize.Types.DatasetImportJobSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DatasetImportJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "datasetImportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "importMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ImportMode)) :: S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDatasetImportJobSummary :: DatasetImportJobSummary Source #

Create a value of DatasetImportJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:DatasetImportJobSummary', datasetImportJobSummary_creationDateTime - The date and time (in Unix time) that the dataset import job was created.

$sel:datasetImportJobArn:DatasetImportJobSummary', datasetImportJobSummary_datasetImportJobArn - The Amazon Resource Name (ARN) of the dataset import job.

$sel:failureReason:DatasetImportJobSummary', datasetImportJobSummary_failureReason - If a dataset import job fails, the reason behind the failure.

$sel:importMode:DatasetImportJobSummary', datasetImportJobSummary_importMode - The import mode the dataset import job used to update the data in the dataset. For more information see Updating existing bulk data.

$sel:jobName:DatasetImportJobSummary', datasetImportJobSummary_jobName - The name of the dataset import job.

$sel:lastUpdatedDateTime:DatasetImportJobSummary', datasetImportJobSummary_lastUpdatedDateTime - The date and time (in Unix time) that the dataset import job status was last updated.

$sel:status:DatasetImportJobSummary', datasetImportJobSummary_status - The status of the dataset import job.

A dataset import job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

datasetImportJobSummary_creationDateTime :: Lens' DatasetImportJobSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset import job was created.

datasetImportJobSummary_datasetImportJobArn :: Lens' DatasetImportJobSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset import job.

datasetImportJobSummary_failureReason :: Lens' DatasetImportJobSummary (Maybe Text) Source #

If a dataset import job fails, the reason behind the failure.

datasetImportJobSummary_importMode :: Lens' DatasetImportJobSummary (Maybe ImportMode) Source #

The import mode the dataset import job used to update the data in the dataset. For more information see Updating existing bulk data.

datasetImportJobSummary_jobName :: Lens' DatasetImportJobSummary (Maybe Text) Source #

The name of the dataset import job.

datasetImportJobSummary_lastUpdatedDateTime :: Lens' DatasetImportJobSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset import job status was last updated.

datasetImportJobSummary_status :: Lens' DatasetImportJobSummary (Maybe Text) Source #

The status of the dataset import job.

A dataset import job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

DatasetSchema

data DatasetSchema Source #

Describes the schema for a dataset. For more information on schemas, see CreateSchema.

See: newDatasetSchema smart constructor.

Constructors

DatasetSchema'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the schema was created.
domain :: Maybe Domain
The domain of a schema that you created for a dataset in a Domain dataset group.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the schema was last updated.
name :: Maybe Text
The name of the schema.
schema :: Maybe Text
The schema.
schemaArn :: Maybe Text
The Amazon Resource Name (ARN) of the schema.

Instances

Instances details

FromJSON DatasetSchema Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchema Methods parseJSON :: Value -> Parser DatasetSchema # parseJSONList :: Value -> Parser [DatasetSchema] #
Generic DatasetSchema Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchema Associated Types type Rep DatasetSchema :: Type -> Type # Methods from :: DatasetSchema -> Rep DatasetSchema x # to :: Rep DatasetSchema x -> DatasetSchema #
Read DatasetSchema Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchema Methods readsPrec :: Int -> ReadS DatasetSchema # readList :: ReadS [DatasetSchema] # readPrec :: ReadPrec DatasetSchema # readListPrec :: ReadPrec [DatasetSchema] #
Show DatasetSchema Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchema Methods showsPrec :: Int -> DatasetSchema -> ShowS # show :: DatasetSchema -> String # showList :: [DatasetSchema] -> ShowS #
NFData DatasetSchema Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchema Methods rnf :: DatasetSchema -> () #
Eq DatasetSchema Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchema Methods (==) :: DatasetSchema -> DatasetSchema -> Bool # (/=) :: DatasetSchema -> DatasetSchema -> Bool #
Hashable DatasetSchema Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchema Methods hashWithSalt :: Int -> DatasetSchema -> Int # hash :: DatasetSchema -> Int #
type Rep DatasetSchema Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchema type Rep DatasetSchema = D1 ('MetaData "DatasetSchema" "Amazonka.Personalize.Types.DatasetSchema" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DatasetSchema'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Domain)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "schema") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "schemaArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDatasetSchema :: DatasetSchema Source #

Create a value of DatasetSchema with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:DatasetSchema', datasetSchema_creationDateTime - The date and time (in Unix time) that the schema was created.

$sel:domain:DatasetSchema', datasetSchema_domain - The domain of a schema that you created for a dataset in a Domain dataset group.

$sel:lastUpdatedDateTime:DatasetSchema', datasetSchema_lastUpdatedDateTime - The date and time (in Unix time) that the schema was last updated.

$sel:name:DatasetSchema', datasetSchema_name - The name of the schema.

$sel:schema:DatasetSchema', datasetSchema_schema - The schema.

$sel:schemaArn:DatasetSchema', datasetSchema_schemaArn - The Amazon Resource Name (ARN) of the schema.

datasetSchema_creationDateTime :: Lens' DatasetSchema (Maybe UTCTime) Source #

The date and time (in Unix time) that the schema was created.

datasetSchema_domain :: Lens' DatasetSchema (Maybe Domain) Source #

The domain of a schema that you created for a dataset in a Domain dataset group.

datasetSchema_lastUpdatedDateTime :: Lens' DatasetSchema (Maybe UTCTime) Source #

The date and time (in Unix time) that the schema was last updated.

datasetSchema_name :: Lens' DatasetSchema (Maybe Text) Source #

The name of the schema.

datasetSchema_schema :: Lens' DatasetSchema (Maybe Text) Source #

The schema.

datasetSchema_schemaArn :: Lens' DatasetSchema (Maybe Text) Source #

The Amazon Resource Name (ARN) of the schema.

DatasetSchemaSummary

data DatasetSchemaSummary Source #

Provides a summary of the properties of a dataset schema. For a complete listing, call the DescribeSchema API.

See: newDatasetSchemaSummary smart constructor.

Constructors

DatasetSchemaSummary'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the schema was created.
domain :: Maybe Domain
The domain of a schema that you created for a dataset in a Domain dataset group.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the schema was last updated.
name :: Maybe Text
The name of the schema.
schemaArn :: Maybe Text
The Amazon Resource Name (ARN) of the schema.

Instances

Instances details

FromJSON DatasetSchemaSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchemaSummary Methods parseJSON :: Value -> Parser DatasetSchemaSummary # parseJSONList :: Value -> Parser [DatasetSchemaSummary] #
Generic DatasetSchemaSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchemaSummary Associated Types type Rep DatasetSchemaSummary :: Type -> Type # Methods from :: DatasetSchemaSummary -> Rep DatasetSchemaSummary x # to :: Rep DatasetSchemaSummary x -> DatasetSchemaSummary #
Read DatasetSchemaSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchemaSummary Methods readsPrec :: Int -> ReadS DatasetSchemaSummary # readList :: ReadS [DatasetSchemaSummary] # readPrec :: ReadPrec DatasetSchemaSummary # readListPrec :: ReadPrec [DatasetSchemaSummary] #
Show DatasetSchemaSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchemaSummary Methods showsPrec :: Int -> DatasetSchemaSummary -> ShowS # show :: DatasetSchemaSummary -> String # showList :: [DatasetSchemaSummary] -> ShowS #
NFData DatasetSchemaSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchemaSummary Methods rnf :: DatasetSchemaSummary -> () #
Eq DatasetSchemaSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchemaSummary Methods (==) :: DatasetSchemaSummary -> DatasetSchemaSummary -> Bool # (/=) :: DatasetSchemaSummary -> DatasetSchemaSummary -> Bool #
Hashable DatasetSchemaSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchemaSummary Methods hashWithSalt :: Int -> DatasetSchemaSummary -> Int # hash :: DatasetSchemaSummary -> Int #
type Rep DatasetSchemaSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSchemaSummary type Rep DatasetSchemaSummary = D1 ('MetaData "DatasetSchemaSummary" "Amazonka.Personalize.Types.DatasetSchemaSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DatasetSchemaSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Domain))) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "schemaArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDatasetSchemaSummary :: DatasetSchemaSummary Source #

Create a value of DatasetSchemaSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:DatasetSchemaSummary', datasetSchemaSummary_creationDateTime - The date and time (in Unix time) that the schema was created.

$sel:domain:DatasetSchemaSummary', datasetSchemaSummary_domain - The domain of a schema that you created for a dataset in a Domain dataset group.

$sel:lastUpdatedDateTime:DatasetSchemaSummary', datasetSchemaSummary_lastUpdatedDateTime - The date and time (in Unix time) that the schema was last updated.

$sel:name:DatasetSchemaSummary', datasetSchemaSummary_name - The name of the schema.

$sel:schemaArn:DatasetSchemaSummary', datasetSchemaSummary_schemaArn - The Amazon Resource Name (ARN) of the schema.

datasetSchemaSummary_creationDateTime :: Lens' DatasetSchemaSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the schema was created.

datasetSchemaSummary_domain :: Lens' DatasetSchemaSummary (Maybe Domain) Source #

The domain of a schema that you created for a dataset in a Domain dataset group.

datasetSchemaSummary_lastUpdatedDateTime :: Lens' DatasetSchemaSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the schema was last updated.

datasetSchemaSummary_name :: Lens' DatasetSchemaSummary (Maybe Text) Source #

The name of the schema.

datasetSchemaSummary_schemaArn :: Lens' DatasetSchemaSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the schema.

DatasetSummary

data DatasetSummary Source #

Provides a summary of the properties of a dataset. For a complete listing, call the DescribeDataset API.

See: newDatasetSummary smart constructor.

Constructors

DatasetSummary'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset was created.
datasetArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset.
datasetType :: Maybe Text
The dataset type. One of the following values:
- Interactions
- Items
- Users
- Event-Interactions
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset was last updated.
name :: Maybe Text
The name of the dataset.
status :: Maybe Text
The status of the dataset.
A dataset can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS

Instances

Instances details

FromJSON DatasetSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSummary Methods parseJSON :: Value -> Parser DatasetSummary # parseJSONList :: Value -> Parser [DatasetSummary] #
Generic DatasetSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSummary Associated Types type Rep DatasetSummary :: Type -> Type # Methods from :: DatasetSummary -> Rep DatasetSummary x # to :: Rep DatasetSummary x -> DatasetSummary #
Read DatasetSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSummary Methods readsPrec :: Int -> ReadS DatasetSummary # readList :: ReadS [DatasetSummary] # readPrec :: ReadPrec DatasetSummary # readListPrec :: ReadPrec [DatasetSummary] #
Show DatasetSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSummary Methods showsPrec :: Int -> DatasetSummary -> ShowS # show :: DatasetSummary -> String # showList :: [DatasetSummary] -> ShowS #
NFData DatasetSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSummary Methods rnf :: DatasetSummary -> () #
Eq DatasetSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSummary Methods (==) :: DatasetSummary -> DatasetSummary -> Bool # (/=) :: DatasetSummary -> DatasetSummary -> Bool #
Hashable DatasetSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSummary Methods hashWithSalt :: Int -> DatasetSummary -> Int # hash :: DatasetSummary -> Int #
type Rep DatasetSummary Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetSummary type Rep DatasetSummary = D1 ('MetaData "DatasetSummary" "Amazonka.Personalize.Types.DatasetSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DatasetSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "datasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDatasetSummary :: DatasetSummary Source #

Create a value of DatasetSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:DatasetSummary', datasetSummary_creationDateTime - The date and time (in Unix time) that the dataset was created.

$sel:datasetArn:DatasetSummary', datasetSummary_datasetArn - The Amazon Resource Name (ARN) of the dataset.

$sel:datasetType:DatasetSummary', datasetSummary_datasetType - The dataset type. One of the following values:

Interactions
Items
Users
Event-Interactions

$sel:lastUpdatedDateTime:DatasetSummary', datasetSummary_lastUpdatedDateTime - The date and time (in Unix time) that the dataset was last updated.

$sel:name:DatasetSummary', datasetSummary_name - The name of the dataset.

$sel:status:DatasetSummary', datasetSummary_status - The status of the dataset.

A dataset can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

datasetSummary_creationDateTime :: Lens' DatasetSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset was created.

datasetSummary_datasetArn :: Lens' DatasetSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset.

datasetSummary_datasetType :: Lens' DatasetSummary (Maybe Text) Source #

The dataset type. One of the following values:

Interactions
Items
Users
Event-Interactions

datasetSummary_lastUpdatedDateTime :: Lens' DatasetSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset was last updated.

datasetSummary_name :: Lens' DatasetSummary (Maybe Text) Source #

The name of the dataset.

datasetSummary_status :: Lens' DatasetSummary (Maybe Text) Source #

The status of the dataset.

A dataset can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

DefaultCategoricalHyperParameterRange

data DefaultCategoricalHyperParameterRange Source #

Provides the name and default range of a categorical hyperparameter and whether the hyperparameter is tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

See: newDefaultCategoricalHyperParameterRange smart constructor.

Constructors

DefaultCategoricalHyperParameterRange'
Fields isTunable :: Maybe Bool Whether the hyperparameter is tunable. name :: Maybe Text The name of the hyperparameter. values :: Maybe [Text] A list of the categories for the hyperparameter.

Instances

Instances details

FromJSON DefaultCategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultCategoricalHyperParameterRange Methods parseJSON :: Value -> Parser DefaultCategoricalHyperParameterRange # parseJSONList :: Value -> Parser [DefaultCategoricalHyperParameterRange] #
Generic DefaultCategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultCategoricalHyperParameterRange Associated Types type Rep DefaultCategoricalHyperParameterRange :: Type -> Type # Methods from :: DefaultCategoricalHyperParameterRange -> Rep DefaultCategoricalHyperParameterRange x # to :: Rep DefaultCategoricalHyperParameterRange x -> DefaultCategoricalHyperParameterRange #
Read DefaultCategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultCategoricalHyperParameterRange Methods readsPrec :: Int -> ReadS DefaultCategoricalHyperParameterRange # readList :: ReadS [DefaultCategoricalHyperParameterRange] # readPrec :: ReadPrec DefaultCategoricalHyperParameterRange # readListPrec :: ReadPrec [DefaultCategoricalHyperParameterRange] #
Show DefaultCategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultCategoricalHyperParameterRange Methods showsPrec :: Int -> DefaultCategoricalHyperParameterRange -> ShowS # show :: DefaultCategoricalHyperParameterRange -> String # showList :: [DefaultCategoricalHyperParameterRange] -> ShowS #
NFData DefaultCategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultCategoricalHyperParameterRange Methods rnf :: DefaultCategoricalHyperParameterRange -> () #
Eq DefaultCategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultCategoricalHyperParameterRange Methods (==) :: DefaultCategoricalHyperParameterRange -> DefaultCategoricalHyperParameterRange -> Bool # (/=) :: DefaultCategoricalHyperParameterRange -> DefaultCategoricalHyperParameterRange -> Bool #
Hashable DefaultCategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultCategoricalHyperParameterRange Methods hashWithSalt :: Int -> DefaultCategoricalHyperParameterRange -> Int # hash :: DefaultCategoricalHyperParameterRange -> Int #
type Rep DefaultCategoricalHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultCategoricalHyperParameterRange type Rep DefaultCategoricalHyperParameterRange = D1 ('MetaData "DefaultCategoricalHyperParameterRange" "Amazonka.Personalize.Types.DefaultCategoricalHyperParameterRange" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DefaultCategoricalHyperParameterRange'" 'PrefixI 'True) (S1 ('MetaSel ('Just "isTunable") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])))))

newDefaultCategoricalHyperParameterRange :: DefaultCategoricalHyperParameterRange Source #

Create a value of DefaultCategoricalHyperParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:isTunable:DefaultCategoricalHyperParameterRange', defaultCategoricalHyperParameterRange_isTunable - Whether the hyperparameter is tunable.

$sel:name:DefaultCategoricalHyperParameterRange', defaultCategoricalHyperParameterRange_name - The name of the hyperparameter.

$sel:values:DefaultCategoricalHyperParameterRange', defaultCategoricalHyperParameterRange_values - A list of the categories for the hyperparameter.

defaultCategoricalHyperParameterRange_isTunable :: Lens' DefaultCategoricalHyperParameterRange (Maybe Bool) Source #

Whether the hyperparameter is tunable.

defaultCategoricalHyperParameterRange_name :: Lens' DefaultCategoricalHyperParameterRange (Maybe Text) Source #

The name of the hyperparameter.

defaultCategoricalHyperParameterRange_values :: Lens' DefaultCategoricalHyperParameterRange (Maybe [Text]) Source #

A list of the categories for the hyperparameter.

DefaultContinuousHyperParameterRange

data DefaultContinuousHyperParameterRange Source #

Provides the name and default range of a continuous hyperparameter and whether the hyperparameter is tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

See: newDefaultContinuousHyperParameterRange smart constructor.

Constructors

DefaultContinuousHyperParameterRange'
Fields isTunable :: Maybe Bool Whether the hyperparameter is tunable. maxValue :: Maybe Double The maximum allowable value for the hyperparameter. minValue :: Maybe Double The minimum allowable value for the hyperparameter. name :: Maybe Text The name of the hyperparameter.

Instances

Instances details

FromJSON DefaultContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultContinuousHyperParameterRange Methods parseJSON :: Value -> Parser DefaultContinuousHyperParameterRange # parseJSONList :: Value -> Parser [DefaultContinuousHyperParameterRange] #
Generic DefaultContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultContinuousHyperParameterRange Associated Types type Rep DefaultContinuousHyperParameterRange :: Type -> Type # Methods from :: DefaultContinuousHyperParameterRange -> Rep DefaultContinuousHyperParameterRange x # to :: Rep DefaultContinuousHyperParameterRange x -> DefaultContinuousHyperParameterRange #
Read DefaultContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultContinuousHyperParameterRange Methods readsPrec :: Int -> ReadS DefaultContinuousHyperParameterRange # readList :: ReadS [DefaultContinuousHyperParameterRange] # readPrec :: ReadPrec DefaultContinuousHyperParameterRange # readListPrec :: ReadPrec [DefaultContinuousHyperParameterRange] #
Show DefaultContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultContinuousHyperParameterRange Methods showsPrec :: Int -> DefaultContinuousHyperParameterRange -> ShowS # show :: DefaultContinuousHyperParameterRange -> String # showList :: [DefaultContinuousHyperParameterRange] -> ShowS #
NFData DefaultContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultContinuousHyperParameterRange Methods rnf :: DefaultContinuousHyperParameterRange -> () #
Eq DefaultContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultContinuousHyperParameterRange Methods (==) :: DefaultContinuousHyperParameterRange -> DefaultContinuousHyperParameterRange -> Bool # (/=) :: DefaultContinuousHyperParameterRange -> DefaultContinuousHyperParameterRange -> Bool #
Hashable DefaultContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultContinuousHyperParameterRange Methods hashWithSalt :: Int -> DefaultContinuousHyperParameterRange -> Int # hash :: DefaultContinuousHyperParameterRange -> Int #
type Rep DefaultContinuousHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultContinuousHyperParameterRange type Rep DefaultContinuousHyperParameterRange = D1 ('MetaData "DefaultContinuousHyperParameterRange" "Amazonka.Personalize.Types.DefaultContinuousHyperParameterRange" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DefaultContinuousHyperParameterRange'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "isTunable") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newDefaultContinuousHyperParameterRange :: DefaultContinuousHyperParameterRange Source #

Create a value of DefaultContinuousHyperParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:isTunable:DefaultContinuousHyperParameterRange', defaultContinuousHyperParameterRange_isTunable - Whether the hyperparameter is tunable.

$sel:maxValue:DefaultContinuousHyperParameterRange', defaultContinuousHyperParameterRange_maxValue - The maximum allowable value for the hyperparameter.

$sel:minValue:DefaultContinuousHyperParameterRange', defaultContinuousHyperParameterRange_minValue - The minimum allowable value for the hyperparameter.

$sel:name:DefaultContinuousHyperParameterRange', defaultContinuousHyperParameterRange_name - The name of the hyperparameter.

defaultContinuousHyperParameterRange_isTunable :: Lens' DefaultContinuousHyperParameterRange (Maybe Bool) Source #

Whether the hyperparameter is tunable.

defaultContinuousHyperParameterRange_maxValue :: Lens' DefaultContinuousHyperParameterRange (Maybe Double) Source #

The maximum allowable value for the hyperparameter.

defaultContinuousHyperParameterRange_minValue :: Lens' DefaultContinuousHyperParameterRange (Maybe Double) Source #

The minimum allowable value for the hyperparameter.

defaultContinuousHyperParameterRange_name :: Lens' DefaultContinuousHyperParameterRange (Maybe Text) Source #

The name of the hyperparameter.

DefaultHyperParameterRanges

data DefaultHyperParameterRanges Source #

Specifies the hyperparameters and their default ranges. Hyperparameters can be categorical, continuous, or integer-valued.

See: newDefaultHyperParameterRanges smart constructor.

Constructors

DefaultHyperParameterRanges'

Fields

categoricalHyperParameterRanges :: Maybe [DefaultCategoricalHyperParameterRange]
The categorical hyperparameters and their default ranges.
continuousHyperParameterRanges :: Maybe [DefaultContinuousHyperParameterRange]
The continuous hyperparameters and their default ranges.
integerHyperParameterRanges :: Maybe [DefaultIntegerHyperParameterRange]
The integer-valued hyperparameters and their default ranges.

Instances

Instances details

FromJSON DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Methods parseJSON :: Value -> Parser DefaultHyperParameterRanges # parseJSONList :: Value -> Parser [DefaultHyperParameterRanges] #
Generic DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Associated Types type Rep DefaultHyperParameterRanges :: Type -> Type # Methods from :: DefaultHyperParameterRanges -> Rep DefaultHyperParameterRanges x # to :: Rep DefaultHyperParameterRanges x -> DefaultHyperParameterRanges #
Read DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Methods readsPrec :: Int -> ReadS DefaultHyperParameterRanges # readList :: ReadS [DefaultHyperParameterRanges] # readPrec :: ReadPrec DefaultHyperParameterRanges # readListPrec :: ReadPrec [DefaultHyperParameterRanges] #
Show DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Methods showsPrec :: Int -> DefaultHyperParameterRanges -> ShowS # show :: DefaultHyperParameterRanges -> String # showList :: [DefaultHyperParameterRanges] -> ShowS #
NFData DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Methods rnf :: DefaultHyperParameterRanges -> () #
Eq DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Methods (==) :: DefaultHyperParameterRanges -> DefaultHyperParameterRanges -> Bool # (/=) :: DefaultHyperParameterRanges -> DefaultHyperParameterRanges -> Bool #
Hashable DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Methods hashWithSalt :: Int -> DefaultHyperParameterRanges -> Int # hash :: DefaultHyperParameterRanges -> Int #
type Rep DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges type Rep DefaultHyperParameterRanges = D1 ('MetaData "DefaultHyperParameterRanges" "Amazonka.Personalize.Types.DefaultHyperParameterRanges" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DefaultHyperParameterRanges'" 'PrefixI 'True) (S1 ('MetaSel ('Just "categoricalHyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DefaultCategoricalHyperParameterRange])) :: (S1 ('MetaSel ('Just "continuousHyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DefaultContinuousHyperParameterRange])) :: S1 ('MetaSel ('Just "integerHyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DefaultIntegerHyperParameterRange])))))

newDefaultHyperParameterRanges :: DefaultHyperParameterRanges Source #

Create a value of DefaultHyperParameterRanges with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:categoricalHyperParameterRanges:DefaultHyperParameterRanges', defaultHyperParameterRanges_categoricalHyperParameterRanges - The categorical hyperparameters and their default ranges.

$sel:continuousHyperParameterRanges:DefaultHyperParameterRanges', defaultHyperParameterRanges_continuousHyperParameterRanges - The continuous hyperparameters and their default ranges.

$sel:integerHyperParameterRanges:DefaultHyperParameterRanges', defaultHyperParameterRanges_integerHyperParameterRanges - The integer-valued hyperparameters and their default ranges.

defaultHyperParameterRanges_categoricalHyperParameterRanges :: Lens' DefaultHyperParameterRanges (Maybe [DefaultCategoricalHyperParameterRange]) Source #

The categorical hyperparameters and their default ranges.

defaultHyperParameterRanges_continuousHyperParameterRanges :: Lens' DefaultHyperParameterRanges (Maybe [DefaultContinuousHyperParameterRange]) Source #

The continuous hyperparameters and their default ranges.

defaultHyperParameterRanges_integerHyperParameterRanges :: Lens' DefaultHyperParameterRanges (Maybe [DefaultIntegerHyperParameterRange]) Source #

The integer-valued hyperparameters and their default ranges.

DefaultIntegerHyperParameterRange

data DefaultIntegerHyperParameterRange Source #

Provides the name and default range of a integer-valued hyperparameter and whether the hyperparameter is tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

See: newDefaultIntegerHyperParameterRange smart constructor.

Constructors

DefaultIntegerHyperParameterRange'
Fields isTunable :: Maybe Bool Indicates whether the hyperparameter is tunable. maxValue :: Maybe Int The maximum allowable value for the hyperparameter. minValue :: Maybe Int The minimum allowable value for the hyperparameter. name :: Maybe Text The name of the hyperparameter.

Instances

Instances details

FromJSON DefaultIntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultIntegerHyperParameterRange Methods parseJSON :: Value -> Parser DefaultIntegerHyperParameterRange # parseJSONList :: Value -> Parser [DefaultIntegerHyperParameterRange] #
Generic DefaultIntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultIntegerHyperParameterRange Associated Types type Rep DefaultIntegerHyperParameterRange :: Type -> Type # Methods from :: DefaultIntegerHyperParameterRange -> Rep DefaultIntegerHyperParameterRange x # to :: Rep DefaultIntegerHyperParameterRange x -> DefaultIntegerHyperParameterRange #
Read DefaultIntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultIntegerHyperParameterRange Methods readsPrec :: Int -> ReadS DefaultIntegerHyperParameterRange # readList :: ReadS [DefaultIntegerHyperParameterRange] # readPrec :: ReadPrec DefaultIntegerHyperParameterRange # readListPrec :: ReadPrec [DefaultIntegerHyperParameterRange] #
Show DefaultIntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultIntegerHyperParameterRange Methods showsPrec :: Int -> DefaultIntegerHyperParameterRange -> ShowS # show :: DefaultIntegerHyperParameterRange -> String # showList :: [DefaultIntegerHyperParameterRange] -> ShowS #
NFData DefaultIntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultIntegerHyperParameterRange Methods rnf :: DefaultIntegerHyperParameterRange -> () #
Eq DefaultIntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultIntegerHyperParameterRange Methods (==) :: DefaultIntegerHyperParameterRange -> DefaultIntegerHyperParameterRange -> Bool # (/=) :: DefaultIntegerHyperParameterRange -> DefaultIntegerHyperParameterRange -> Bool #
Hashable DefaultIntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultIntegerHyperParameterRange Methods hashWithSalt :: Int -> DefaultIntegerHyperParameterRange -> Int # hash :: DefaultIntegerHyperParameterRange -> Int #
type Rep DefaultIntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultIntegerHyperParameterRange type Rep DefaultIntegerHyperParameterRange = D1 ('MetaData "DefaultIntegerHyperParameterRange" "Amazonka.Personalize.Types.DefaultIntegerHyperParameterRange" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DefaultIntegerHyperParameterRange'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "isTunable") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))) :: (S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newDefaultIntegerHyperParameterRange :: DefaultIntegerHyperParameterRange Source #

Create a value of DefaultIntegerHyperParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:isTunable:DefaultIntegerHyperParameterRange', defaultIntegerHyperParameterRange_isTunable - Indicates whether the hyperparameter is tunable.

$sel:maxValue:DefaultIntegerHyperParameterRange', defaultIntegerHyperParameterRange_maxValue - The maximum allowable value for the hyperparameter.

$sel:minValue:DefaultIntegerHyperParameterRange', defaultIntegerHyperParameterRange_minValue - The minimum allowable value for the hyperparameter.

$sel:name:DefaultIntegerHyperParameterRange', defaultIntegerHyperParameterRange_name - The name of the hyperparameter.

defaultIntegerHyperParameterRange_isTunable :: Lens' DefaultIntegerHyperParameterRange (Maybe Bool) Source #

Indicates whether the hyperparameter is tunable.

defaultIntegerHyperParameterRange_maxValue :: Lens' DefaultIntegerHyperParameterRange (Maybe Int) Source #

The maximum allowable value for the hyperparameter.

defaultIntegerHyperParameterRange_minValue :: Lens' DefaultIntegerHyperParameterRange (Maybe Int) Source #

The minimum allowable value for the hyperparameter.

defaultIntegerHyperParameterRange_name :: Lens' DefaultIntegerHyperParameterRange (Maybe Text) Source #

The name of the hyperparameter.

EventTracker

data EventTracker Source #

Provides information about an event tracker.

See: newEventTracker smart constructor.

Constructors

EventTracker'

Fields

accountId :: Maybe Text
The Amazon Web Services account that owns the event tracker.
creationDateTime :: Maybe POSIX
The date and time (in Unix format) that the event tracker was created.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset group that receives the event data.
eventTrackerArn :: Maybe Text
The ARN of the event tracker.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the event tracker was last updated.
name :: Maybe Text
The name of the event tracker.
status :: Maybe Text
The status of the event tracker.
An event tracker can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
trackingId :: Maybe Text
The ID of the event tracker. Include this ID in requests to the PutEvents API.

Instances

Instances details

FromJSON EventTracker Source #
Instance details Defined in Amazonka.Personalize.Types.EventTracker Methods parseJSON :: Value -> Parser EventTracker # parseJSONList :: Value -> Parser [EventTracker] #
Generic EventTracker Source #
Instance details Defined in Amazonka.Personalize.Types.EventTracker Associated Types type Rep EventTracker :: Type -> Type # Methods from :: EventTracker -> Rep EventTracker x # to :: Rep EventTracker x -> EventTracker #
Read EventTracker Source #
Instance details Defined in Amazonka.Personalize.Types.EventTracker Methods readsPrec :: Int -> ReadS EventTracker # readList :: ReadS [EventTracker] # readPrec :: ReadPrec EventTracker # readListPrec :: ReadPrec [EventTracker] #
Show EventTracker Source #
Instance details Defined in Amazonka.Personalize.Types.EventTracker Methods showsPrec :: Int -> EventTracker -> ShowS # show :: EventTracker -> String # showList :: [EventTracker] -> ShowS #
NFData EventTracker Source #
Instance details Defined in Amazonka.Personalize.Types.EventTracker Methods rnf :: EventTracker -> () #
Eq EventTracker Source #
Instance details Defined in Amazonka.Personalize.Types.EventTracker Methods (==) :: EventTracker -> EventTracker -> Bool # (/=) :: EventTracker -> EventTracker -> Bool #
Hashable EventTracker Source #
Instance details Defined in Amazonka.Personalize.Types.EventTracker Methods hashWithSalt :: Int -> EventTracker -> Int # hash :: EventTracker -> Int #
type Rep EventTracker Source #
Instance details Defined in Amazonka.Personalize.Types.EventTracker type Rep EventTracker = D1 ('MetaData "EventTracker" "Amazonka.Personalize.Types.EventTracker" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "EventTracker'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "accountId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "eventTrackerArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trackingId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newEventTracker :: EventTracker Source #

Create a value of EventTracker with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:accountId:EventTracker', eventTracker_accountId - The Amazon Web Services account that owns the event tracker.

$sel:creationDateTime:EventTracker', eventTracker_creationDateTime - The date and time (in Unix format) that the event tracker was created.

$sel:datasetGroupArn:EventTracker', eventTracker_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group that receives the event data.

$sel:eventTrackerArn:EventTracker', eventTracker_eventTrackerArn - The ARN of the event tracker.

$sel:lastUpdatedDateTime:EventTracker', eventTracker_lastUpdatedDateTime - The date and time (in Unix time) that the event tracker was last updated.

$sel:name:EventTracker', eventTracker_name - The name of the event tracker.

$sel:status:EventTracker', eventTracker_status - The status of the event tracker.

An event tracker can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

$sel:trackingId:EventTracker', eventTracker_trackingId - The ID of the event tracker. Include this ID in requests to the PutEvents API.

eventTracker_accountId :: Lens' EventTracker (Maybe Text) Source #

The Amazon Web Services account that owns the event tracker.

eventTracker_creationDateTime :: Lens' EventTracker (Maybe UTCTime) Source #

The date and time (in Unix format) that the event tracker was created.

eventTracker_datasetGroupArn :: Lens' EventTracker (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset group that receives the event data.

eventTracker_eventTrackerArn :: Lens' EventTracker (Maybe Text) Source #

The ARN of the event tracker.

eventTracker_lastUpdatedDateTime :: Lens' EventTracker (Maybe UTCTime) Source #

The date and time (in Unix time) that the event tracker was last updated.

eventTracker_name :: Lens' EventTracker (Maybe Text) Source #

The name of the event tracker.

eventTracker_status :: Lens' EventTracker (Maybe Text) Source #

The status of the event tracker.

An event tracker can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

eventTracker_trackingId :: Lens' EventTracker (Maybe Text) Source #

The ID of the event tracker. Include this ID in requests to the PutEvents API.

EventTrackerSummary

data EventTrackerSummary Source #

Provides a summary of the properties of an event tracker. For a complete listing, call the DescribeEventTracker API.

See: newEventTrackerSummary smart constructor.

Constructors

EventTrackerSummary'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the event tracker was created.
eventTrackerArn :: Maybe Text
The Amazon Resource Name (ARN) of the event tracker.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the event tracker was last updated.
name :: Maybe Text
The name of the event tracker.
status :: Maybe Text
The status of the event tracker.
An event tracker can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS

Instances

Instances details

FromJSON EventTrackerSummary Source #
Instance details Defined in Amazonka.Personalize.Types.EventTrackerSummary Methods parseJSON :: Value -> Parser EventTrackerSummary # parseJSONList :: Value -> Parser [EventTrackerSummary] #
Generic EventTrackerSummary Source #
Instance details Defined in Amazonka.Personalize.Types.EventTrackerSummary Associated Types type Rep EventTrackerSummary :: Type -> Type # Methods from :: EventTrackerSummary -> Rep EventTrackerSummary x # to :: Rep EventTrackerSummary x -> EventTrackerSummary #
Read EventTrackerSummary Source #
Instance details Defined in Amazonka.Personalize.Types.EventTrackerSummary Methods readsPrec :: Int -> ReadS EventTrackerSummary # readList :: ReadS [EventTrackerSummary] # readPrec :: ReadPrec EventTrackerSummary # readListPrec :: ReadPrec [EventTrackerSummary] #
Show EventTrackerSummary Source #
Instance details Defined in Amazonka.Personalize.Types.EventTrackerSummary Methods showsPrec :: Int -> EventTrackerSummary -> ShowS # show :: EventTrackerSummary -> String # showList :: [EventTrackerSummary] -> ShowS #
NFData EventTrackerSummary Source #
Instance details Defined in Amazonka.Personalize.Types.EventTrackerSummary Methods rnf :: EventTrackerSummary -> () #
Eq EventTrackerSummary Source #
Instance details Defined in Amazonka.Personalize.Types.EventTrackerSummary Methods (==) :: EventTrackerSummary -> EventTrackerSummary -> Bool # (/=) :: EventTrackerSummary -> EventTrackerSummary -> Bool #
Hashable EventTrackerSummary Source #
Instance details Defined in Amazonka.Personalize.Types.EventTrackerSummary Methods hashWithSalt :: Int -> EventTrackerSummary -> Int # hash :: EventTrackerSummary -> Int #
type Rep EventTrackerSummary Source #
Instance details Defined in Amazonka.Personalize.Types.EventTrackerSummary type Rep EventTrackerSummary = D1 ('MetaData "EventTrackerSummary" "Amazonka.Personalize.Types.EventTrackerSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "EventTrackerSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "eventTrackerArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newEventTrackerSummary :: EventTrackerSummary Source #

Create a value of EventTrackerSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:EventTrackerSummary', eventTrackerSummary_creationDateTime - The date and time (in Unix time) that the event tracker was created.

$sel:eventTrackerArn:EventTrackerSummary', eventTrackerSummary_eventTrackerArn - The Amazon Resource Name (ARN) of the event tracker.

$sel:lastUpdatedDateTime:EventTrackerSummary', eventTrackerSummary_lastUpdatedDateTime - The date and time (in Unix time) that the event tracker was last updated.

$sel:name:EventTrackerSummary', eventTrackerSummary_name - The name of the event tracker.

$sel:status:EventTrackerSummary', eventTrackerSummary_status - The status of the event tracker.

An event tracker can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

eventTrackerSummary_creationDateTime :: Lens' EventTrackerSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the event tracker was created.

eventTrackerSummary_eventTrackerArn :: Lens' EventTrackerSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the event tracker.

eventTrackerSummary_lastUpdatedDateTime :: Lens' EventTrackerSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the event tracker was last updated.

eventTrackerSummary_name :: Lens' EventTrackerSummary (Maybe Text) Source #

The name of the event tracker.

eventTrackerSummary_status :: Lens' EventTrackerSummary (Maybe Text) Source #

The status of the event tracker.

An event tracker can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

FeatureTransformation

data FeatureTransformation Source #

Provides feature transformation information. Feature transformation is the process of modifying raw input data into a form more suitable for model training.

See: newFeatureTransformation smart constructor.

Constructors

FeatureTransformation'

Fields

creationDateTime :: Maybe POSIX
The creation date and time (in Unix time) of the feature transformation.
defaultParameters :: Maybe (HashMap Text Text)
Provides the default parameters for feature transformation.
featureTransformationArn :: Maybe Text
The Amazon Resource Name (ARN) of the FeatureTransformation object.
lastUpdatedDateTime :: Maybe POSIX
The last update date and time (in Unix time) of the feature transformation.
name :: Maybe Text
The name of the feature transformation.
status :: Maybe Text
The status of the feature transformation.
A feature transformation can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

Instances

Instances details

FromJSON FeatureTransformation Source #
Instance details Defined in Amazonka.Personalize.Types.FeatureTransformation Methods parseJSON :: Value -> Parser FeatureTransformation # parseJSONList :: Value -> Parser [FeatureTransformation] #
Generic FeatureTransformation Source #
Instance details Defined in Amazonka.Personalize.Types.FeatureTransformation Associated Types type Rep FeatureTransformation :: Type -> Type # Methods from :: FeatureTransformation -> Rep FeatureTransformation x # to :: Rep FeatureTransformation x -> FeatureTransformation #
Read FeatureTransformation Source #
Instance details Defined in Amazonka.Personalize.Types.FeatureTransformation Methods readsPrec :: Int -> ReadS FeatureTransformation # readList :: ReadS [FeatureTransformation] # readPrec :: ReadPrec FeatureTransformation # readListPrec :: ReadPrec [FeatureTransformation] #
Show FeatureTransformation Source #
Instance details Defined in Amazonka.Personalize.Types.FeatureTransformation Methods showsPrec :: Int -> FeatureTransformation -> ShowS # show :: FeatureTransformation -> String # showList :: [FeatureTransformation] -> ShowS #
NFData FeatureTransformation Source #
Instance details Defined in Amazonka.Personalize.Types.FeatureTransformation Methods rnf :: FeatureTransformation -> () #
Eq FeatureTransformation Source #
Instance details Defined in Amazonka.Personalize.Types.FeatureTransformation Methods (==) :: FeatureTransformation -> FeatureTransformation -> Bool # (/=) :: FeatureTransformation -> FeatureTransformation -> Bool #
Hashable FeatureTransformation Source #
Instance details Defined in Amazonka.Personalize.Types.FeatureTransformation Methods hashWithSalt :: Int -> FeatureTransformation -> Int # hash :: FeatureTransformation -> Int #
type Rep FeatureTransformation Source #
Instance details Defined in Amazonka.Personalize.Types.FeatureTransformation type Rep FeatureTransformation = D1 ('MetaData "FeatureTransformation" "Amazonka.Personalize.Types.FeatureTransformation" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "FeatureTransformation'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "defaultParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: S1 ('MetaSel ('Just "featureTransformationArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newFeatureTransformation :: FeatureTransformation Source #

Create a value of FeatureTransformation with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:FeatureTransformation', featureTransformation_creationDateTime - The creation date and time (in Unix time) of the feature transformation.

$sel:defaultParameters:FeatureTransformation', featureTransformation_defaultParameters - Provides the default parameters for feature transformation.

$sel:featureTransformationArn:FeatureTransformation', featureTransformation_featureTransformationArn - The Amazon Resource Name (ARN) of the FeatureTransformation object.

$sel:lastUpdatedDateTime:FeatureTransformation', featureTransformation_lastUpdatedDateTime - The last update date and time (in Unix time) of the feature transformation.

$sel:name:FeatureTransformation', featureTransformation_name - The name of the feature transformation.

$sel:status:FeatureTransformation', featureTransformation_status - The status of the feature transformation.

A feature transformation can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

featureTransformation_creationDateTime :: Lens' FeatureTransformation (Maybe UTCTime) Source #

The creation date and time (in Unix time) of the feature transformation.

featureTransformation_defaultParameters :: Lens' FeatureTransformation (Maybe (HashMap Text Text)) Source #

Provides the default parameters for feature transformation.

featureTransformation_featureTransformationArn :: Lens' FeatureTransformation (Maybe Text) Source #

The Amazon Resource Name (ARN) of the FeatureTransformation object.

featureTransformation_lastUpdatedDateTime :: Lens' FeatureTransformation (Maybe UTCTime) Source #

The last update date and time (in Unix time) of the feature transformation.

featureTransformation_name :: Lens' FeatureTransformation (Maybe Text) Source #

The name of the feature transformation.

featureTransformation_status :: Lens' FeatureTransformation (Maybe Text) Source #

The status of the feature transformation.

A feature transformation can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

Filter

data Filter Source #

Contains information on a recommendation filter, including its ARN, status, and filter expression.

See: newFilter smart constructor.

Constructors

Filter'

Fields

creationDateTime :: Maybe POSIX
The time at which the filter was created.
datasetGroupArn :: Maybe Text
The ARN of the dataset group to which the filter belongs.
failureReason :: Maybe Text
If the filter failed, the reason for its failure.
filterArn :: Maybe Text
The ARN of the filter.
filterExpression :: Maybe (Sensitive Text)
Specifies the type of item interactions to filter out of recommendation results. The filter expression must follow specific format rules. For information about filter expression structure and syntax, see Filter expressions.
lastUpdatedDateTime :: Maybe POSIX
The time at which the filter was last updated.
name :: Maybe Text
The name of the filter.
status :: Maybe Text
The status of the filter.

Instances

Instances details

FromJSON Filter Source #
Instance details Defined in Amazonka.Personalize.Types.Filter Methods parseJSON :: Value -> Parser Filter # parseJSONList :: Value -> Parser [Filter] #
Generic Filter Source #
Instance details Defined in Amazonka.Personalize.Types.Filter Associated Types type Rep Filter :: Type -> Type # Methods from :: Filter -> Rep Filter x # to :: Rep Filter x -> Filter #
Show Filter Source #
Instance details Defined in Amazonka.Personalize.Types.Filter Methods showsPrec :: Int -> Filter -> ShowS # show :: Filter -> String # showList :: [Filter] -> ShowS #
NFData Filter Source #
Instance details Defined in Amazonka.Personalize.Types.Filter Methods rnf :: Filter -> () #
Eq Filter Source #
Instance details Defined in Amazonka.Personalize.Types.Filter Methods (==) :: Filter -> Filter -> Bool # (/=) :: Filter -> Filter -> Bool #
Hashable Filter Source #
Instance details Defined in Amazonka.Personalize.Types.Filter Methods hashWithSalt :: Int -> Filter -> Int # hash :: Filter -> Int #
type Rep Filter Source #
Instance details Defined in Amazonka.Personalize.Types.Filter type Rep Filter = D1 ('MetaData "Filter" "Amazonka.Personalize.Types.Filter" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "Filter'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "filterArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "filterExpression") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (Sensitive Text))) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newFilter :: Filter Source #

Create a value of Filter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:Filter', filter_creationDateTime - The time at which the filter was created.

$sel:datasetGroupArn:Filter', filter_datasetGroupArn - The ARN of the dataset group to which the filter belongs.

$sel:failureReason:Filter', filter_failureReason - If the filter failed, the reason for its failure.

$sel:filterArn:Filter', filter_filterArn - The ARN of the filter.

$sel:filterExpression:Filter', filter_filterExpression - Specifies the type of item interactions to filter out of recommendation results. The filter expression must follow specific format rules. For information about filter expression structure and syntax, see Filter expressions.

$sel:lastUpdatedDateTime:Filter', filter_lastUpdatedDateTime - The time at which the filter was last updated.

$sel:name:Filter', filter_name - The name of the filter.

$sel:status:Filter', filter_status - The status of the filter.

filter_creationDateTime :: Lens' Filter (Maybe UTCTime) Source #

The time at which the filter was created.

filter_datasetGroupArn :: Lens' Filter (Maybe Text) Source #

The ARN of the dataset group to which the filter belongs.

filter_failureReason :: Lens' Filter (Maybe Text) Source #

If the filter failed, the reason for its failure.

filter_filterArn :: Lens' Filter (Maybe Text) Source #

The ARN of the filter.

filter_filterExpression :: Lens' Filter (Maybe Text) Source #

Specifies the type of item interactions to filter out of recommendation results. The filter expression must follow specific format rules. For information about filter expression structure and syntax, see Filter expressions.

filter_lastUpdatedDateTime :: Lens' Filter (Maybe UTCTime) Source #

The time at which the filter was last updated.

filter_name :: Lens' Filter (Maybe Text) Source #

The name of the filter.

filter_status :: Lens' Filter (Maybe Text) Source #

The status of the filter.

FilterSummary

data FilterSummary Source #

A short summary of a filter's attributes.

See: newFilterSummary smart constructor.

Constructors

FilterSummary'

Fields

creationDateTime :: Maybe POSIX
The time at which the filter was created.
datasetGroupArn :: Maybe Text
The ARN of the dataset group to which the filter belongs.
failureReason :: Maybe Text
If the filter failed, the reason for the failure.
filterArn :: Maybe Text
The ARN of the filter.
lastUpdatedDateTime :: Maybe POSIX
The time at which the filter was last updated.
name :: Maybe Text
The name of the filter.
status :: Maybe Text
The status of the filter.

Instances

Instances details

FromJSON FilterSummary Source #
Instance details Defined in Amazonka.Personalize.Types.FilterSummary Methods parseJSON :: Value -> Parser FilterSummary # parseJSONList :: Value -> Parser [FilterSummary] #
Generic FilterSummary Source #
Instance details Defined in Amazonka.Personalize.Types.FilterSummary Associated Types type Rep FilterSummary :: Type -> Type # Methods from :: FilterSummary -> Rep FilterSummary x # to :: Rep FilterSummary x -> FilterSummary #
Read FilterSummary Source #
Instance details Defined in Amazonka.Personalize.Types.FilterSummary Methods readsPrec :: Int -> ReadS FilterSummary # readList :: ReadS [FilterSummary] # readPrec :: ReadPrec FilterSummary # readListPrec :: ReadPrec [FilterSummary] #
Show FilterSummary Source #
Instance details Defined in Amazonka.Personalize.Types.FilterSummary Methods showsPrec :: Int -> FilterSummary -> ShowS # show :: FilterSummary -> String # showList :: [FilterSummary] -> ShowS #
NFData FilterSummary Source #
Instance details Defined in Amazonka.Personalize.Types.FilterSummary Methods rnf :: FilterSummary -> () #
Eq FilterSummary Source #
Instance details Defined in Amazonka.Personalize.Types.FilterSummary Methods (==) :: FilterSummary -> FilterSummary -> Bool # (/=) :: FilterSummary -> FilterSummary -> Bool #
Hashable FilterSummary Source #
Instance details Defined in Amazonka.Personalize.Types.FilterSummary Methods hashWithSalt :: Int -> FilterSummary -> Int # hash :: FilterSummary -> Int #
type Rep FilterSummary Source #
Instance details Defined in Amazonka.Personalize.Types.FilterSummary type Rep FilterSummary = D1 ('MetaData "FilterSummary" "Amazonka.Personalize.Types.FilterSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "FilterSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "filterArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newFilterSummary :: FilterSummary Source #

Create a value of FilterSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:FilterSummary', filterSummary_creationDateTime - The time at which the filter was created.

$sel:datasetGroupArn:FilterSummary', filterSummary_datasetGroupArn - The ARN of the dataset group to which the filter belongs.

$sel:failureReason:FilterSummary', filterSummary_failureReason - If the filter failed, the reason for the failure.

$sel:filterArn:FilterSummary', filterSummary_filterArn - The ARN of the filter.

$sel:lastUpdatedDateTime:FilterSummary', filterSummary_lastUpdatedDateTime - The time at which the filter was last updated.

$sel:name:FilterSummary', filterSummary_name - The name of the filter.

$sel:status:FilterSummary', filterSummary_status - The status of the filter.

filterSummary_creationDateTime :: Lens' FilterSummary (Maybe UTCTime) Source #

The time at which the filter was created.

filterSummary_datasetGroupArn :: Lens' FilterSummary (Maybe Text) Source #

The ARN of the dataset group to which the filter belongs.

filterSummary_failureReason :: Lens' FilterSummary (Maybe Text) Source #

If the filter failed, the reason for the failure.

filterSummary_filterArn :: Lens' FilterSummary (Maybe Text) Source #

The ARN of the filter.

filterSummary_lastUpdatedDateTime :: Lens' FilterSummary (Maybe UTCTime) Source #

The time at which the filter was last updated.

filterSummary_name :: Lens' FilterSummary (Maybe Text) Source #

The name of the filter.

filterSummary_status :: Lens' FilterSummary (Maybe Text) Source #

The status of the filter.

HPOConfig

data HPOConfig Source #

Describes the properties for hyperparameter optimization (HPO).

See: newHPOConfig smart constructor.

Constructors

HPOConfig'
Fields algorithmHyperParameterRanges :: Maybe HyperParameterRanges The hyperparameters and their allowable ranges. hpoObjective :: Maybe HPOObjective The metric to optimize during HPO. Amazon Personalize doesn't support configuring the `hpoObjective` at this time. hpoResourceConfig :: Maybe HPOResourceConfig Describes the resource configuration for HPO.

Instances

Instances details

FromJSON HPOConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOConfig Methods parseJSON :: Value -> Parser HPOConfig # parseJSONList :: Value -> Parser [HPOConfig] #
ToJSON HPOConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOConfig Methods toJSON :: HPOConfig -> Value # toEncoding :: HPOConfig -> Encoding # toJSONList :: [HPOConfig] -> Value # toEncodingList :: [HPOConfig] -> Encoding #
Generic HPOConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOConfig Associated Types type Rep HPOConfig :: Type -> Type # Methods from :: HPOConfig -> Rep HPOConfig x # to :: Rep HPOConfig x -> HPOConfig #
Read HPOConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOConfig Methods readsPrec :: Int -> ReadS HPOConfig # readList :: ReadS [HPOConfig] # readPrec :: ReadPrec HPOConfig # readListPrec :: ReadPrec [HPOConfig] #
Show HPOConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOConfig Methods showsPrec :: Int -> HPOConfig -> ShowS # show :: HPOConfig -> String # showList :: [HPOConfig] -> ShowS #
NFData HPOConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOConfig Methods rnf :: HPOConfig -> () #
Eq HPOConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOConfig Methods (==) :: HPOConfig -> HPOConfig -> Bool # (/=) :: HPOConfig -> HPOConfig -> Bool #
Hashable HPOConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOConfig Methods hashWithSalt :: Int -> HPOConfig -> Int # hash :: HPOConfig -> Int #
type Rep HPOConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOConfig type Rep HPOConfig = D1 ('MetaData "HPOConfig" "Amazonka.Personalize.Types.HPOConfig" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "HPOConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "algorithmHyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterRanges)) :: (S1 ('MetaSel ('Just "hpoObjective") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HPOObjective)) :: S1 ('MetaSel ('Just "hpoResourceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HPOResourceConfig)))))

newHPOConfig :: HPOConfig Source #

Create a value of HPOConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:algorithmHyperParameterRanges:HPOConfig', hPOConfig_algorithmHyperParameterRanges - The hyperparameters and their allowable ranges.

$sel:hpoObjective:HPOConfig', hPOConfig_hpoObjective - The metric to optimize during HPO.

Amazon Personalize doesn't support configuring the hpoObjective at this time.

$sel:hpoResourceConfig:HPOConfig', hPOConfig_hpoResourceConfig - Describes the resource configuration for HPO.

hPOConfig_algorithmHyperParameterRanges :: Lens' HPOConfig (Maybe HyperParameterRanges) Source #

The hyperparameters and their allowable ranges.

hPOConfig_hpoObjective :: Lens' HPOConfig (Maybe HPOObjective) Source #

The metric to optimize during HPO.

Amazon Personalize doesn't support configuring the hpoObjective at this time.

hPOConfig_hpoResourceConfig :: Lens' HPOConfig (Maybe HPOResourceConfig) Source #

Describes the resource configuration for HPO.

HPOObjective

data HPOObjective Source #

The metric to optimize during hyperparameter optimization (HPO).

Amazon Personalize doesn't support configuring the hpoObjective at this time.

See: newHPOObjective smart constructor.

Constructors

HPOObjective'
Fields metricName :: Maybe Text The name of the metric. metricRegex :: Maybe Text A regular expression for finding the metric in the training job logs. type' :: Maybe Text The type of the metric. Valid values are `Maximize` and `Minimize`.

Instances

Instances details

FromJSON HPOObjective Source #
Instance details Defined in Amazonka.Personalize.Types.HPOObjective Methods parseJSON :: Value -> Parser HPOObjective # parseJSONList :: Value -> Parser [HPOObjective] #
ToJSON HPOObjective Source #
Instance details Defined in Amazonka.Personalize.Types.HPOObjective Methods toJSON :: HPOObjective -> Value # toEncoding :: HPOObjective -> Encoding # toJSONList :: [HPOObjective] -> Value # toEncodingList :: [HPOObjective] -> Encoding #
Generic HPOObjective Source #
Instance details Defined in Amazonka.Personalize.Types.HPOObjective Associated Types type Rep HPOObjective :: Type -> Type # Methods from :: HPOObjective -> Rep HPOObjective x # to :: Rep HPOObjective x -> HPOObjective #
Read HPOObjective Source #
Instance details Defined in Amazonka.Personalize.Types.HPOObjective Methods readsPrec :: Int -> ReadS HPOObjective # readList :: ReadS [HPOObjective] # readPrec :: ReadPrec HPOObjective # readListPrec :: ReadPrec [HPOObjective] #
Show HPOObjective Source #
Instance details Defined in Amazonka.Personalize.Types.HPOObjective Methods showsPrec :: Int -> HPOObjective -> ShowS # show :: HPOObjective -> String # showList :: [HPOObjective] -> ShowS #
NFData HPOObjective Source #
Instance details Defined in Amazonka.Personalize.Types.HPOObjective Methods rnf :: HPOObjective -> () #
Eq HPOObjective Source #
Instance details Defined in Amazonka.Personalize.Types.HPOObjective Methods (==) :: HPOObjective -> HPOObjective -> Bool # (/=) :: HPOObjective -> HPOObjective -> Bool #
Hashable HPOObjective Source #
Instance details Defined in Amazonka.Personalize.Types.HPOObjective Methods hashWithSalt :: Int -> HPOObjective -> Int # hash :: HPOObjective -> Int #
type Rep HPOObjective Source #
Instance details Defined in Amazonka.Personalize.Types.HPOObjective type Rep HPOObjective = D1 ('MetaData "HPOObjective" "Amazonka.Personalize.Types.HPOObjective" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "HPOObjective'" 'PrefixI 'True) (S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "metricRegex") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newHPOObjective :: HPOObjective Source #

Create a value of HPOObjective with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:metricName:HPOObjective', hPOObjective_metricName - The name of the metric.

$sel:metricRegex:HPOObjective', hPOObjective_metricRegex - A regular expression for finding the metric in the training job logs.

$sel:type':HPOObjective', hPOObjective_type - The type of the metric. Valid values are Maximize and Minimize.

hPOObjective_metricName :: Lens' HPOObjective (Maybe Text) Source #

The name of the metric.

hPOObjective_metricRegex :: Lens' HPOObjective (Maybe Text) Source #

A regular expression for finding the metric in the training job logs.

hPOObjective_type :: Lens' HPOObjective (Maybe Text) Source #

The type of the metric. Valid values are Maximize and Minimize.

HPOResourceConfig

data HPOResourceConfig Source #

Describes the resource configuration for hyperparameter optimization (HPO).

See: newHPOResourceConfig smart constructor.

Constructors

HPOResourceConfig'
Fields maxNumberOfTrainingJobs :: Maybe Text The maximum number of training jobs when you create a solution version. The maximum value for `maxNumberOfTrainingJobs` is `40`. maxParallelTrainingJobs :: Maybe Text The maximum number of parallel training jobs when you create a solution version. The maximum value for `maxParallelTrainingJobs` is `10`.

Instances

Instances details

FromJSON HPOResourceConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOResourceConfig Methods parseJSON :: Value -> Parser HPOResourceConfig # parseJSONList :: Value -> Parser [HPOResourceConfig] #
ToJSON HPOResourceConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOResourceConfig Methods toJSON :: HPOResourceConfig -> Value # toEncoding :: HPOResourceConfig -> Encoding # toJSONList :: [HPOResourceConfig] -> Value # toEncodingList :: [HPOResourceConfig] -> Encoding #
Generic HPOResourceConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOResourceConfig Associated Types type Rep HPOResourceConfig :: Type -> Type # Methods from :: HPOResourceConfig -> Rep HPOResourceConfig x # to :: Rep HPOResourceConfig x -> HPOResourceConfig #
Read HPOResourceConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOResourceConfig Methods readsPrec :: Int -> ReadS HPOResourceConfig # readList :: ReadS [HPOResourceConfig] # readPrec :: ReadPrec HPOResourceConfig # readListPrec :: ReadPrec [HPOResourceConfig] #
Show HPOResourceConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOResourceConfig Methods showsPrec :: Int -> HPOResourceConfig -> ShowS # show :: HPOResourceConfig -> String # showList :: [HPOResourceConfig] -> ShowS #
NFData HPOResourceConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOResourceConfig Methods rnf :: HPOResourceConfig -> () #
Eq HPOResourceConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOResourceConfig Methods (==) :: HPOResourceConfig -> HPOResourceConfig -> Bool # (/=) :: HPOResourceConfig -> HPOResourceConfig -> Bool #
Hashable HPOResourceConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOResourceConfig Methods hashWithSalt :: Int -> HPOResourceConfig -> Int # hash :: HPOResourceConfig -> Int #
type Rep HPOResourceConfig Source #
Instance details Defined in Amazonka.Personalize.Types.HPOResourceConfig type Rep HPOResourceConfig = D1 ('MetaData "HPOResourceConfig" "Amazonka.Personalize.Types.HPOResourceConfig" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "HPOResourceConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxNumberOfTrainingJobs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "maxParallelTrainingJobs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newHPOResourceConfig :: HPOResourceConfig Source #

Create a value of HPOResourceConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxNumberOfTrainingJobs:HPOResourceConfig', hPOResourceConfig_maxNumberOfTrainingJobs - The maximum number of training jobs when you create a solution version. The maximum value for maxNumberOfTrainingJobs is 40.

$sel:maxParallelTrainingJobs:HPOResourceConfig', hPOResourceConfig_maxParallelTrainingJobs - The maximum number of parallel training jobs when you create a solution version. The maximum value for maxParallelTrainingJobs is 10.

hPOResourceConfig_maxNumberOfTrainingJobs :: Lens' HPOResourceConfig (Maybe Text) Source #

The maximum number of training jobs when you create a solution version. The maximum value for maxNumberOfTrainingJobs is 40.

hPOResourceConfig_maxParallelTrainingJobs :: Lens' HPOResourceConfig (Maybe Text) Source #

The maximum number of parallel training jobs when you create a solution version. The maximum value for maxParallelTrainingJobs is 10.

HyperParameterRanges

data HyperParameterRanges Source #

Specifies the hyperparameters and their ranges. Hyperparameters can be categorical, continuous, or integer-valued.

See: newHyperParameterRanges smart constructor.

Constructors

HyperParameterRanges'
Fields categoricalHyperParameterRanges :: Maybe [CategoricalHyperParameterRange] The categorical hyperparameters and their ranges. continuousHyperParameterRanges :: Maybe [ContinuousHyperParameterRange] The continuous hyperparameters and their ranges. integerHyperParameterRanges :: Maybe [IntegerHyperParameterRange] The integer-valued hyperparameters and their ranges.

Instances

Instances details

FromJSON HyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.HyperParameterRanges Methods parseJSON :: Value -> Parser HyperParameterRanges # parseJSONList :: Value -> Parser [HyperParameterRanges] #
ToJSON HyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.HyperParameterRanges Methods toJSON :: HyperParameterRanges -> Value # toEncoding :: HyperParameterRanges -> Encoding # toJSONList :: [HyperParameterRanges] -> Value # toEncodingList :: [HyperParameterRanges] -> Encoding #
Generic HyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.HyperParameterRanges Associated Types type Rep HyperParameterRanges :: Type -> Type # Methods from :: HyperParameterRanges -> Rep HyperParameterRanges x # to :: Rep HyperParameterRanges x -> HyperParameterRanges #
Read HyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.HyperParameterRanges Methods readsPrec :: Int -> ReadS HyperParameterRanges # readList :: ReadS [HyperParameterRanges] # readPrec :: ReadPrec HyperParameterRanges # readListPrec :: ReadPrec [HyperParameterRanges] #
Show HyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.HyperParameterRanges Methods showsPrec :: Int -> HyperParameterRanges -> ShowS # show :: HyperParameterRanges -> String # showList :: [HyperParameterRanges] -> ShowS #
NFData HyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.HyperParameterRanges Methods rnf :: HyperParameterRanges -> () #
Eq HyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.HyperParameterRanges Methods (==) :: HyperParameterRanges -> HyperParameterRanges -> Bool # (/=) :: HyperParameterRanges -> HyperParameterRanges -> Bool #
Hashable HyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.HyperParameterRanges Methods hashWithSalt :: Int -> HyperParameterRanges -> Int # hash :: HyperParameterRanges -> Int #
type Rep HyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.HyperParameterRanges type Rep HyperParameterRanges = D1 ('MetaData "HyperParameterRanges" "Amazonka.Personalize.Types.HyperParameterRanges" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "HyperParameterRanges'" 'PrefixI 'True) (S1 ('MetaSel ('Just "categoricalHyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CategoricalHyperParameterRange])) :: (S1 ('MetaSel ('Just "continuousHyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ContinuousHyperParameterRange])) :: S1 ('MetaSel ('Just "integerHyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [IntegerHyperParameterRange])))))

newHyperParameterRanges :: HyperParameterRanges Source #

Create a value of HyperParameterRanges with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:categoricalHyperParameterRanges:HyperParameterRanges', hyperParameterRanges_categoricalHyperParameterRanges - The categorical hyperparameters and their ranges.

$sel:continuousHyperParameterRanges:HyperParameterRanges', hyperParameterRanges_continuousHyperParameterRanges - The continuous hyperparameters and their ranges.

$sel:integerHyperParameterRanges:HyperParameterRanges', hyperParameterRanges_integerHyperParameterRanges - The integer-valued hyperparameters and their ranges.

hyperParameterRanges_categoricalHyperParameterRanges :: Lens' HyperParameterRanges (Maybe [CategoricalHyperParameterRange]) Source #

The categorical hyperparameters and their ranges.

hyperParameterRanges_continuousHyperParameterRanges :: Lens' HyperParameterRanges (Maybe [ContinuousHyperParameterRange]) Source #

The continuous hyperparameters and their ranges.

hyperParameterRanges_integerHyperParameterRanges :: Lens' HyperParameterRanges (Maybe [IntegerHyperParameterRange]) Source #

The integer-valued hyperparameters and their ranges.

IntegerHyperParameterRange

data IntegerHyperParameterRange Source #

Provides the name and range of an integer-valued hyperparameter.

See: newIntegerHyperParameterRange smart constructor.

Constructors

IntegerHyperParameterRange'
Fields maxValue :: Maybe Int The maximum allowable value for the hyperparameter. minValue :: Maybe Int The minimum allowable value for the hyperparameter. name :: Maybe Text The name of the hyperparameter.

Instances

Instances details

FromJSON IntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.IntegerHyperParameterRange Methods parseJSON :: Value -> Parser IntegerHyperParameterRange # parseJSONList :: Value -> Parser [IntegerHyperParameterRange] #
ToJSON IntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.IntegerHyperParameterRange Methods toJSON :: IntegerHyperParameterRange -> Value # toEncoding :: IntegerHyperParameterRange -> Encoding # toJSONList :: [IntegerHyperParameterRange] -> Value # toEncodingList :: [IntegerHyperParameterRange] -> Encoding #
Generic IntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.IntegerHyperParameterRange Associated Types type Rep IntegerHyperParameterRange :: Type -> Type # Methods from :: IntegerHyperParameterRange -> Rep IntegerHyperParameterRange x # to :: Rep IntegerHyperParameterRange x -> IntegerHyperParameterRange #
Read IntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.IntegerHyperParameterRange Methods readsPrec :: Int -> ReadS IntegerHyperParameterRange # readList :: ReadS [IntegerHyperParameterRange] # readPrec :: ReadPrec IntegerHyperParameterRange # readListPrec :: ReadPrec [IntegerHyperParameterRange] #
Show IntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.IntegerHyperParameterRange Methods showsPrec :: Int -> IntegerHyperParameterRange -> ShowS # show :: IntegerHyperParameterRange -> String # showList :: [IntegerHyperParameterRange] -> ShowS #
NFData IntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.IntegerHyperParameterRange Methods rnf :: IntegerHyperParameterRange -> () #
Eq IntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.IntegerHyperParameterRange Methods (==) :: IntegerHyperParameterRange -> IntegerHyperParameterRange -> Bool # (/=) :: IntegerHyperParameterRange -> IntegerHyperParameterRange -> Bool #
Hashable IntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.IntegerHyperParameterRange Methods hashWithSalt :: Int -> IntegerHyperParameterRange -> Int # hash :: IntegerHyperParameterRange -> Int #
type Rep IntegerHyperParameterRange Source #
Instance details Defined in Amazonka.Personalize.Types.IntegerHyperParameterRange type Rep IntegerHyperParameterRange = D1 ('MetaData "IntegerHyperParameterRange" "Amazonka.Personalize.Types.IntegerHyperParameterRange" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "IntegerHyperParameterRange'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: (S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newIntegerHyperParameterRange :: IntegerHyperParameterRange Source #

Create a value of IntegerHyperParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxValue:IntegerHyperParameterRange', integerHyperParameterRange_maxValue - The maximum allowable value for the hyperparameter.

$sel:minValue:IntegerHyperParameterRange', integerHyperParameterRange_minValue - The minimum allowable value for the hyperparameter.

$sel:name:IntegerHyperParameterRange', integerHyperParameterRange_name - The name of the hyperparameter.

integerHyperParameterRange_maxValue :: Lens' IntegerHyperParameterRange (Maybe Int) Source #

The maximum allowable value for the hyperparameter.

integerHyperParameterRange_minValue :: Lens' IntegerHyperParameterRange (Maybe Int) Source #

The minimum allowable value for the hyperparameter.

integerHyperParameterRange_name :: Lens' IntegerHyperParameterRange (Maybe Text) Source #

The name of the hyperparameter.

MetricAttribute

data MetricAttribute Source #

Contains information on a metric that a metric attribution reports on. For more information, see Measuring impact of recommendations.

See: newMetricAttribute smart constructor.

Constructors

MetricAttribute'

Fields

eventType :: Text
The metric's event type.
metricName :: Text
The metric's name. The name helps you identify the metric in Amazon CloudWatch or Amazon S3.
expression :: Text
The attribute's expression. Available functions are SUM() or SAMPLECOUNT(). For SUM() functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example SUM(Items.PRICE).

Instances

Instances details

FromJSON MetricAttribute Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribute Methods parseJSON :: Value -> Parser MetricAttribute # parseJSONList :: Value -> Parser [MetricAttribute] #
ToJSON MetricAttribute Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribute Methods toJSON :: MetricAttribute -> Value # toEncoding :: MetricAttribute -> Encoding # toJSONList :: [MetricAttribute] -> Value # toEncodingList :: [MetricAttribute] -> Encoding #
Generic MetricAttribute Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribute Associated Types type Rep MetricAttribute :: Type -> Type # Methods from :: MetricAttribute -> Rep MetricAttribute x # to :: Rep MetricAttribute x -> MetricAttribute #
Read MetricAttribute Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribute Methods readsPrec :: Int -> ReadS MetricAttribute # readList :: ReadS [MetricAttribute] # readPrec :: ReadPrec MetricAttribute # readListPrec :: ReadPrec [MetricAttribute] #
Show MetricAttribute Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribute Methods showsPrec :: Int -> MetricAttribute -> ShowS # show :: MetricAttribute -> String # showList :: [MetricAttribute] -> ShowS #
NFData MetricAttribute Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribute Methods rnf :: MetricAttribute -> () #
Eq MetricAttribute Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribute Methods (==) :: MetricAttribute -> MetricAttribute -> Bool # (/=) :: MetricAttribute -> MetricAttribute -> Bool #
Hashable MetricAttribute Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribute Methods hashWithSalt :: Int -> MetricAttribute -> Int # hash :: MetricAttribute -> Int #
type Rep MetricAttribute Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribute type Rep MetricAttribute = D1 ('MetaData "MetricAttribute" "Amazonka.Personalize.Types.MetricAttribute" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "MetricAttribute'" 'PrefixI 'True) (S1 ('MetaSel ('Just "eventType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "expression") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newMetricAttribute Source #

Arguments

:: Text	`$sel:eventType:MetricAttribute'`
-> Text	`$sel:metricName:MetricAttribute'`
-> Text	`$sel:expression:MetricAttribute'`
-> MetricAttribute

Create a value of MetricAttribute with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:eventType:MetricAttribute', metricAttribute_eventType - The metric's event type.

$sel:metricName:MetricAttribute', metricAttribute_metricName - The metric's name. The name helps you identify the metric in Amazon CloudWatch or Amazon S3.

$sel:expression:MetricAttribute', metricAttribute_expression - The attribute's expression. Available functions are SUM() or SAMPLECOUNT(). For SUM() functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example SUM(Items.PRICE).

metricAttribute_eventType :: Lens' MetricAttribute Text Source #

The metric's event type.

metricAttribute_metricName :: Lens' MetricAttribute Text Source #

The metric's name. The name helps you identify the metric in Amazon CloudWatch or Amazon S3.

metricAttribute_expression :: Lens' MetricAttribute Text Source #

The attribute's expression. Available functions are SUM() or SAMPLECOUNT(). For SUM() functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example SUM(Items.PRICE).

MetricAttribution

data MetricAttribution Source #

Contains information on a metric attribution. A metric attribution creates reports on the data that you import into Amazon Personalize. Depending on how you import the data, you can view reports in Amazon CloudWatch or Amazon S3. For more information, see Measuring impact of recommendations.

See: newMetricAttribution smart constructor.

Constructors

MetricAttribution'

Fields

creationDateTime :: Maybe POSIX
The metric attribution's creation date time.
datasetGroupArn :: Maybe Text
The metric attribution's dataset group Amazon Resource Name (ARN).
failureReason :: Maybe Text
The metric attribution's failure reason.
lastUpdatedDateTime :: Maybe POSIX
The metric attribution's last updated date time.
metricAttributionArn :: Maybe Text
The metric attribution's Amazon Resource Name (ARN).
metricsOutputConfig :: Maybe MetricAttributionOutput
The metric attribution's output configuration.
name :: Maybe Text
The metric attribution's name.
status :: Maybe Text
The metric attribution's status.

Instances

Instances details

FromJSON MetricAttribution Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribution Methods parseJSON :: Value -> Parser MetricAttribution # parseJSONList :: Value -> Parser [MetricAttribution] #
Generic MetricAttribution Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribution Associated Types type Rep MetricAttribution :: Type -> Type # Methods from :: MetricAttribution -> Rep MetricAttribution x # to :: Rep MetricAttribution x -> MetricAttribution #
Read MetricAttribution Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribution Methods readsPrec :: Int -> ReadS MetricAttribution # readList :: ReadS [MetricAttribution] # readPrec :: ReadPrec MetricAttribution # readListPrec :: ReadPrec [MetricAttribution] #
Show MetricAttribution Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribution Methods showsPrec :: Int -> MetricAttribution -> ShowS # show :: MetricAttribution -> String # showList :: [MetricAttribution] -> ShowS #
NFData MetricAttribution Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribution Methods rnf :: MetricAttribution -> () #
Eq MetricAttribution Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribution Methods (==) :: MetricAttribution -> MetricAttribution -> Bool # (/=) :: MetricAttribution -> MetricAttribution -> Bool #
Hashable MetricAttribution Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribution Methods hashWithSalt :: Int -> MetricAttribution -> Int # hash :: MetricAttribution -> Int #
type Rep MetricAttribution Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttribution type Rep MetricAttribution = D1 ('MetaData "MetricAttribution" "Amazonka.Personalize.Types.MetricAttribution" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "MetricAttribution'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: ((S1 ('MetaSel ('Just "metricAttributionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "metricsOutputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricAttributionOutput))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newMetricAttribution :: MetricAttribution Source #

Create a value of MetricAttribution with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:MetricAttribution', metricAttribution_creationDateTime - The metric attribution's creation date time.

$sel:datasetGroupArn:MetricAttribution', metricAttribution_datasetGroupArn - The metric attribution's dataset group Amazon Resource Name (ARN).

$sel:failureReason:MetricAttribution', metricAttribution_failureReason - The metric attribution's failure reason.

$sel:lastUpdatedDateTime:MetricAttribution', metricAttribution_lastUpdatedDateTime - The metric attribution's last updated date time.

$sel:metricAttributionArn:MetricAttribution', metricAttribution_metricAttributionArn - The metric attribution's Amazon Resource Name (ARN).

$sel:metricsOutputConfig:MetricAttribution', metricAttribution_metricsOutputConfig - The metric attribution's output configuration.

$sel:name:MetricAttribution', metricAttribution_name - The metric attribution's name.

$sel:status:MetricAttribution', metricAttribution_status - The metric attribution's status.

metricAttribution_creationDateTime :: Lens' MetricAttribution (Maybe UTCTime) Source #

The metric attribution's creation date time.

metricAttribution_datasetGroupArn :: Lens' MetricAttribution (Maybe Text) Source #

The metric attribution's dataset group Amazon Resource Name (ARN).

metricAttribution_failureReason :: Lens' MetricAttribution (Maybe Text) Source #

The metric attribution's failure reason.

metricAttribution_lastUpdatedDateTime :: Lens' MetricAttribution (Maybe UTCTime) Source #

The metric attribution's last updated date time.

metricAttribution_metricAttributionArn :: Lens' MetricAttribution (Maybe Text) Source #

The metric attribution's Amazon Resource Name (ARN).

metricAttribution_metricsOutputConfig :: Lens' MetricAttribution (Maybe MetricAttributionOutput) Source #

The metric attribution's output configuration.

metricAttribution_name :: Lens' MetricAttribution (Maybe Text) Source #

The metric attribution's name.

metricAttribution_status :: Lens' MetricAttribution (Maybe Text) Source #

The metric attribution's status.

MetricAttributionOutput

data MetricAttributionOutput Source #

The output configuration details for a metric attribution.

See: newMetricAttributionOutput smart constructor.

Constructors

MetricAttributionOutput'
Fields s3DataDestination :: Maybe S3DataConfig roleArn :: Text The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket and add metrics to Amazon CloudWatch. For more information, see Measuring impact of recommendations.

Instances

Instances details

FromJSON MetricAttributionOutput Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionOutput Methods parseJSON :: Value -> Parser MetricAttributionOutput # parseJSONList :: Value -> Parser [MetricAttributionOutput] #
ToJSON MetricAttributionOutput Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionOutput Methods toJSON :: MetricAttributionOutput -> Value # toEncoding :: MetricAttributionOutput -> Encoding # toJSONList :: [MetricAttributionOutput] -> Value # toEncodingList :: [MetricAttributionOutput] -> Encoding #
Generic MetricAttributionOutput Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionOutput Associated Types type Rep MetricAttributionOutput :: Type -> Type # Methods from :: MetricAttributionOutput -> Rep MetricAttributionOutput x # to :: Rep MetricAttributionOutput x -> MetricAttributionOutput #
Read MetricAttributionOutput Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionOutput Methods readsPrec :: Int -> ReadS MetricAttributionOutput # readList :: ReadS [MetricAttributionOutput] # readPrec :: ReadPrec MetricAttributionOutput # readListPrec :: ReadPrec [MetricAttributionOutput] #
Show MetricAttributionOutput Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionOutput Methods showsPrec :: Int -> MetricAttributionOutput -> ShowS # show :: MetricAttributionOutput -> String # showList :: [MetricAttributionOutput] -> ShowS #
NFData MetricAttributionOutput Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionOutput Methods rnf :: MetricAttributionOutput -> () #
Eq MetricAttributionOutput Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionOutput Methods (==) :: MetricAttributionOutput -> MetricAttributionOutput -> Bool # (/=) :: MetricAttributionOutput -> MetricAttributionOutput -> Bool #
Hashable MetricAttributionOutput Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionOutput Methods hashWithSalt :: Int -> MetricAttributionOutput -> Int # hash :: MetricAttributionOutput -> Int #
type Rep MetricAttributionOutput Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionOutput type Rep MetricAttributionOutput = D1 ('MetaData "MetricAttributionOutput" "Amazonka.Personalize.Types.MetricAttributionOutput" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "MetricAttributionOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataDestination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3DataConfig)) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newMetricAttributionOutput Source #

Arguments

:: Text	`$sel:roleArn:MetricAttributionOutput'`
-> MetricAttributionOutput

Create a value of MetricAttributionOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataDestination:MetricAttributionOutput', metricAttributionOutput_s3DataDestination - Undocumented member.

$sel:roleArn:MetricAttributionOutput', metricAttributionOutput_roleArn - The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket and add metrics to Amazon CloudWatch. For more information, see Measuring impact of recommendations.

metricAttributionOutput_s3DataDestination :: Lens' MetricAttributionOutput (Maybe S3DataConfig) Source #

Undocumented member.

metricAttributionOutput_roleArn :: Lens' MetricAttributionOutput Text Source #

The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket and add metrics to Amazon CloudWatch. For more information, see Measuring impact of recommendations.

MetricAttributionSummary

data MetricAttributionSummary Source #

Provides a summary of the properties of a metric attribution. For a complete listing, call the DescribeMetricAttribution.

See: newMetricAttributionSummary smart constructor.

Constructors

MetricAttributionSummary'

Fields

creationDateTime :: Maybe POSIX
The metric attribution's creation date time.
failureReason :: Maybe Text
The metric attribution's failure reason.
lastUpdatedDateTime :: Maybe POSIX
The metric attribution's last updated date time.
metricAttributionArn :: Maybe Text
The metric attribution's Amazon Resource Name (ARN).
name :: Maybe Text
The name of the metric attribution.
status :: Maybe Text
The metric attribution's status.

Instances

Instances details

FromJSON MetricAttributionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionSummary Methods parseJSON :: Value -> Parser MetricAttributionSummary # parseJSONList :: Value -> Parser [MetricAttributionSummary] #
Generic MetricAttributionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionSummary Associated Types type Rep MetricAttributionSummary :: Type -> Type # Methods from :: MetricAttributionSummary -> Rep MetricAttributionSummary x # to :: Rep MetricAttributionSummary x -> MetricAttributionSummary #
Read MetricAttributionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionSummary Methods readsPrec :: Int -> ReadS MetricAttributionSummary # readList :: ReadS [MetricAttributionSummary] # readPrec :: ReadPrec MetricAttributionSummary # readListPrec :: ReadPrec [MetricAttributionSummary] #
Show MetricAttributionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionSummary Methods showsPrec :: Int -> MetricAttributionSummary -> ShowS # show :: MetricAttributionSummary -> String # showList :: [MetricAttributionSummary] -> ShowS #
NFData MetricAttributionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionSummary Methods rnf :: MetricAttributionSummary -> () #
Eq MetricAttributionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionSummary Methods (==) :: MetricAttributionSummary -> MetricAttributionSummary -> Bool # (/=) :: MetricAttributionSummary -> MetricAttributionSummary -> Bool #
Hashable MetricAttributionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionSummary Methods hashWithSalt :: Int -> MetricAttributionSummary -> Int # hash :: MetricAttributionSummary -> Int #
type Rep MetricAttributionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.MetricAttributionSummary type Rep MetricAttributionSummary = D1 ('MetaData "MetricAttributionSummary" "Amazonka.Personalize.Types.MetricAttributionSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "MetricAttributionSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "metricAttributionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newMetricAttributionSummary :: MetricAttributionSummary Source #

Create a value of MetricAttributionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:MetricAttributionSummary', metricAttributionSummary_creationDateTime - The metric attribution's creation date time.

$sel:failureReason:MetricAttributionSummary', metricAttributionSummary_failureReason - The metric attribution's failure reason.

$sel:lastUpdatedDateTime:MetricAttributionSummary', metricAttributionSummary_lastUpdatedDateTime - The metric attribution's last updated date time.

$sel:metricAttributionArn:MetricAttributionSummary', metricAttributionSummary_metricAttributionArn - The metric attribution's Amazon Resource Name (ARN).

$sel:name:MetricAttributionSummary', metricAttributionSummary_name - The name of the metric attribution.

$sel:status:MetricAttributionSummary', metricAttributionSummary_status - The metric attribution's status.

metricAttributionSummary_creationDateTime :: Lens' MetricAttributionSummary (Maybe UTCTime) Source #

The metric attribution's creation date time.

metricAttributionSummary_failureReason :: Lens' MetricAttributionSummary (Maybe Text) Source #

The metric attribution's failure reason.

metricAttributionSummary_lastUpdatedDateTime :: Lens' MetricAttributionSummary (Maybe UTCTime) Source #

The metric attribution's last updated date time.

metricAttributionSummary_metricAttributionArn :: Lens' MetricAttributionSummary (Maybe Text) Source #

The metric attribution's Amazon Resource Name (ARN).

metricAttributionSummary_name :: Lens' MetricAttributionSummary (Maybe Text) Source #

The name of the metric attribution.

metricAttributionSummary_status :: Lens' MetricAttributionSummary (Maybe Text) Source #

The metric attribution's status.

OptimizationObjective

data OptimizationObjective Source #

Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

See: newOptimizationObjective smart constructor.

Constructors

OptimizationObjective'
Fields itemAttribute :: Maybe Text The numerical metadata column in an Items dataset related to the optimization objective. For example, VIDEO_LENGTH (to maximize streaming minutes), or PRICE (to maximize revenue). objectiveSensitivity :: Maybe ObjectiveSensitivity Specifies how Amazon Personalize balances the importance of your optimization objective versus relevance.

Instances

Instances details

FromJSON OptimizationObjective Source #
Instance details Defined in Amazonka.Personalize.Types.OptimizationObjective Methods parseJSON :: Value -> Parser OptimizationObjective # parseJSONList :: Value -> Parser [OptimizationObjective] #
ToJSON OptimizationObjective Source #
Instance details Defined in Amazonka.Personalize.Types.OptimizationObjective Methods toJSON :: OptimizationObjective -> Value # toEncoding :: OptimizationObjective -> Encoding # toJSONList :: [OptimizationObjective] -> Value # toEncodingList :: [OptimizationObjective] -> Encoding #
Generic OptimizationObjective Source #
Instance details Defined in Amazonka.Personalize.Types.OptimizationObjective Associated Types type Rep OptimizationObjective :: Type -> Type # Methods from :: OptimizationObjective -> Rep OptimizationObjective x # to :: Rep OptimizationObjective x -> OptimizationObjective #
Read OptimizationObjective Source #
Instance details Defined in Amazonka.Personalize.Types.OptimizationObjective Methods readsPrec :: Int -> ReadS OptimizationObjective # readList :: ReadS [OptimizationObjective] # readPrec :: ReadPrec OptimizationObjective # readListPrec :: ReadPrec [OptimizationObjective] #
Show OptimizationObjective Source #
Instance details Defined in Amazonka.Personalize.Types.OptimizationObjective Methods showsPrec :: Int -> OptimizationObjective -> ShowS # show :: OptimizationObjective -> String # showList :: [OptimizationObjective] -> ShowS #
NFData OptimizationObjective Source #
Instance details Defined in Amazonka.Personalize.Types.OptimizationObjective Methods rnf :: OptimizationObjective -> () #
Eq OptimizationObjective Source #
Instance details Defined in Amazonka.Personalize.Types.OptimizationObjective Methods (==) :: OptimizationObjective -> OptimizationObjective -> Bool # (/=) :: OptimizationObjective -> OptimizationObjective -> Bool #
Hashable OptimizationObjective Source #
Instance details Defined in Amazonka.Personalize.Types.OptimizationObjective Methods hashWithSalt :: Int -> OptimizationObjective -> Int # hash :: OptimizationObjective -> Int #
type Rep OptimizationObjective Source #
Instance details Defined in Amazonka.Personalize.Types.OptimizationObjective type Rep OptimizationObjective = D1 ('MetaData "OptimizationObjective" "Amazonka.Personalize.Types.OptimizationObjective" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "OptimizationObjective'" 'PrefixI 'True) (S1 ('MetaSel ('Just "itemAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "objectiveSensitivity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ObjectiveSensitivity))))

newOptimizationObjective :: OptimizationObjective Source #

Create a value of OptimizationObjective with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:itemAttribute:OptimizationObjective', optimizationObjective_itemAttribute - The numerical metadata column in an Items dataset related to the optimization objective. For example, VIDEO_LENGTH (to maximize streaming minutes), or PRICE (to maximize revenue).

$sel:objectiveSensitivity:OptimizationObjective', optimizationObjective_objectiveSensitivity - Specifies how Amazon Personalize balances the importance of your optimization objective versus relevance.

optimizationObjective_itemAttribute :: Lens' OptimizationObjective (Maybe Text) Source #

The numerical metadata column in an Items dataset related to the optimization objective. For example, VIDEO_LENGTH (to maximize streaming minutes), or PRICE (to maximize revenue).

optimizationObjective_objectiveSensitivity :: Lens' OptimizationObjective (Maybe ObjectiveSensitivity) Source #

Specifies how Amazon Personalize balances the importance of your optimization objective versus relevance.

Recipe

data Recipe Source #

Provides information about a recipe. Each recipe provides an algorithm that Amazon Personalize uses in model training when you use the CreateSolution operation.

See: newRecipe smart constructor.

Constructors

Recipe'

Fields

algorithmArn :: Maybe Text
The Amazon Resource Name (ARN) of the algorithm that Amazon Personalize uses to train the model.
creationDateTime :: Maybe POSIX
The date and time (in Unix format) that the recipe was created.
description :: Maybe Text
The description of the recipe.
featureTransformationArn :: Maybe Text
The ARN of the FeatureTransformation object.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix format) that the recipe was last updated.
name :: Maybe Text
The name of the recipe.
recipeArn :: Maybe Text
The Amazon Resource Name (ARN) of the recipe.
recipeType :: Maybe Text
One of the following values:
- PERSONALIZED_RANKING
- RELATED_ITEMS
- USER_PERSONALIZATION
status :: Maybe Text
The status of the recipe.

Instances

Instances details

FromJSON Recipe Source #
Instance details Defined in Amazonka.Personalize.Types.Recipe Methods parseJSON :: Value -> Parser Recipe # parseJSONList :: Value -> Parser [Recipe] #
Generic Recipe Source #
Instance details Defined in Amazonka.Personalize.Types.Recipe Associated Types type Rep Recipe :: Type -> Type # Methods from :: Recipe -> Rep Recipe x # to :: Rep Recipe x -> Recipe #
Read Recipe Source #
Instance details Defined in Amazonka.Personalize.Types.Recipe Methods readsPrec :: Int -> ReadS Recipe # readList :: ReadS [Recipe] # readPrec :: ReadPrec Recipe # readListPrec :: ReadPrec [Recipe] #
Show Recipe Source #
Instance details Defined in Amazonka.Personalize.Types.Recipe Methods showsPrec :: Int -> Recipe -> ShowS # show :: Recipe -> String # showList :: [Recipe] -> ShowS #
NFData Recipe Source #
Instance details Defined in Amazonka.Personalize.Types.Recipe Methods rnf :: Recipe -> () #
Eq Recipe Source #
Instance details Defined in Amazonka.Personalize.Types.Recipe Methods (==) :: Recipe -> Recipe -> Bool # (/=) :: Recipe -> Recipe -> Bool #
Hashable Recipe Source #
Instance details Defined in Amazonka.Personalize.Types.Recipe Methods hashWithSalt :: Int -> Recipe -> Int # hash :: Recipe -> Int #
type Rep Recipe Source #
Instance details Defined in Amazonka.Personalize.Types.Recipe type Rep Recipe = D1 ('MetaData "Recipe" "Amazonka.Personalize.Types.Recipe" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "Recipe'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "algorithmArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "featureTransformationArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "recipeArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "recipeType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newRecipe :: Recipe Source #

Create a value of Recipe with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:algorithmArn:Recipe', recipe_algorithmArn - The Amazon Resource Name (ARN) of the algorithm that Amazon Personalize uses to train the model.

$sel:creationDateTime:Recipe', recipe_creationDateTime - The date and time (in Unix format) that the recipe was created.

$sel:description:Recipe', recipe_description - The description of the recipe.

$sel:featureTransformationArn:Recipe', recipe_featureTransformationArn - The ARN of the FeatureTransformation object.

$sel:lastUpdatedDateTime:Recipe', recipe_lastUpdatedDateTime - The date and time (in Unix format) that the recipe was last updated.

$sel:name:Recipe', recipe_name - The name of the recipe.

$sel:recipeArn:Recipe', recipe_recipeArn - The Amazon Resource Name (ARN) of the recipe.

$sel:recipeType:Recipe', recipe_recipeType - One of the following values:

PERSONALIZED_RANKING
RELATED_ITEMS
USER_PERSONALIZATION

$sel:status:Recipe', recipe_status - The status of the recipe.

recipe_algorithmArn :: Lens' Recipe (Maybe Text) Source #

The Amazon Resource Name (ARN) of the algorithm that Amazon Personalize uses to train the model.

recipe_creationDateTime :: Lens' Recipe (Maybe UTCTime) Source #

The date and time (in Unix format) that the recipe was created.

recipe_description :: Lens' Recipe (Maybe Text) Source #

The description of the recipe.

recipe_featureTransformationArn :: Lens' Recipe (Maybe Text) Source #

The ARN of the FeatureTransformation object.

recipe_lastUpdatedDateTime :: Lens' Recipe (Maybe UTCTime) Source #

The date and time (in Unix format) that the recipe was last updated.

recipe_name :: Lens' Recipe (Maybe Text) Source #

The name of the recipe.

recipe_recipeArn :: Lens' Recipe (Maybe Text) Source #

The Amazon Resource Name (ARN) of the recipe.

recipe_recipeType :: Lens' Recipe (Maybe Text) Source #

One of the following values:

PERSONALIZED_RANKING
RELATED_ITEMS
USER_PERSONALIZATION

recipe_status :: Lens' Recipe (Maybe Text) Source #

The status of the recipe.

RecipeSummary

data RecipeSummary Source #

Provides a summary of the properties of a recipe. For a complete listing, call the DescribeRecipe API.

See: newRecipeSummary smart constructor.

Constructors

RecipeSummary'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the recipe was created.
domain :: Maybe Domain
The domain of the recipe (if the recipe is a Domain dataset group use case).
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the recipe was last updated.
name :: Maybe Text
The name of the recipe.
recipeArn :: Maybe Text
The Amazon Resource Name (ARN) of the recipe.
status :: Maybe Text
The status of the recipe.

Instances

Instances details

FromJSON RecipeSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeSummary Methods parseJSON :: Value -> Parser RecipeSummary # parseJSONList :: Value -> Parser [RecipeSummary] #
Generic RecipeSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeSummary Associated Types type Rep RecipeSummary :: Type -> Type # Methods from :: RecipeSummary -> Rep RecipeSummary x # to :: Rep RecipeSummary x -> RecipeSummary #
Read RecipeSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeSummary Methods readsPrec :: Int -> ReadS RecipeSummary # readList :: ReadS [RecipeSummary] # readPrec :: ReadPrec RecipeSummary # readListPrec :: ReadPrec [RecipeSummary] #
Show RecipeSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeSummary Methods showsPrec :: Int -> RecipeSummary -> ShowS # show :: RecipeSummary -> String # showList :: [RecipeSummary] -> ShowS #
NFData RecipeSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeSummary Methods rnf :: RecipeSummary -> () #
Eq RecipeSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeSummary Methods (==) :: RecipeSummary -> RecipeSummary -> Bool # (/=) :: RecipeSummary -> RecipeSummary -> Bool #
Hashable RecipeSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeSummary Methods hashWithSalt :: Int -> RecipeSummary -> Int # hash :: RecipeSummary -> Int #
type Rep RecipeSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecipeSummary type Rep RecipeSummary = D1 ('MetaData "RecipeSummary" "Amazonka.Personalize.Types.RecipeSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "RecipeSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Domain)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "recipeArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newRecipeSummary :: RecipeSummary Source #

Create a value of RecipeSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:RecipeSummary', recipeSummary_creationDateTime - The date and time (in Unix time) that the recipe was created.

$sel:domain:RecipeSummary', recipeSummary_domain - The domain of the recipe (if the recipe is a Domain dataset group use case).

$sel:lastUpdatedDateTime:RecipeSummary', recipeSummary_lastUpdatedDateTime - The date and time (in Unix time) that the recipe was last updated.

$sel:name:RecipeSummary', recipeSummary_name - The name of the recipe.

$sel:recipeArn:RecipeSummary', recipeSummary_recipeArn - The Amazon Resource Name (ARN) of the recipe.

$sel:status:RecipeSummary', recipeSummary_status - The status of the recipe.

recipeSummary_creationDateTime :: Lens' RecipeSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the recipe was created.

recipeSummary_domain :: Lens' RecipeSummary (Maybe Domain) Source #

The domain of the recipe (if the recipe is a Domain dataset group use case).

recipeSummary_lastUpdatedDateTime :: Lens' RecipeSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the recipe was last updated.

recipeSummary_name :: Lens' RecipeSummary (Maybe Text) Source #

The name of the recipe.

recipeSummary_recipeArn :: Lens' RecipeSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the recipe.

recipeSummary_status :: Lens' RecipeSummary (Maybe Text) Source #

The status of the recipe.

Recommender

data Recommender Source #

Describes a recommendation generator for a Domain dataset group. You create a recommender in a Domain dataset group for a specific domain use case (domain recipe), and specify the recommender in a GetRecommendations request.

See: newRecommender smart constructor.

Constructors

Recommender'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix format) that the recommender was created.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the Domain dataset group that contains the recommender.
failureReason :: Maybe Text
If a recommender fails, the reason behind the failure.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix format) that the recommender was last updated.
latestRecommenderUpdate :: Maybe RecommenderUpdateSummary
Provides a summary of the latest updates to the recommender.
modelMetrics :: Maybe (HashMap Text Double)
Provides evaluation metrics that help you determine the performance of a recommender. For more information, see Evaluating a recommender.
name :: Maybe Text
The name of the recommender.
recipeArn :: Maybe Text
The Amazon Resource Name (ARN) of the recipe (Domain dataset group use case) that the recommender was created for.
recommenderArn :: Maybe Text
The Amazon Resource Name (ARN) of the recommender.
recommenderConfig :: Maybe RecommenderConfig
The configuration details of the recommender.
status :: Maybe Text
The status of the recommender.
A recommender can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
- DELETE PENDING > DELETE IN_PROGRESS

Instances

Instances details

FromJSON Recommender Source #
Instance details Defined in Amazonka.Personalize.Types.Recommender Methods parseJSON :: Value -> Parser Recommender # parseJSONList :: Value -> Parser [Recommender] #
Generic Recommender Source #
Instance details Defined in Amazonka.Personalize.Types.Recommender Associated Types type Rep Recommender :: Type -> Type # Methods from :: Recommender -> Rep Recommender x # to :: Rep Recommender x -> Recommender #
Read Recommender Source #
Instance details Defined in Amazonka.Personalize.Types.Recommender Methods readsPrec :: Int -> ReadS Recommender # readList :: ReadS [Recommender] # readPrec :: ReadPrec Recommender # readListPrec :: ReadPrec [Recommender] #
Show Recommender Source #
Instance details Defined in Amazonka.Personalize.Types.Recommender Methods showsPrec :: Int -> Recommender -> ShowS # show :: Recommender -> String # showList :: [Recommender] -> ShowS #
NFData Recommender Source #
Instance details Defined in Amazonka.Personalize.Types.Recommender Methods rnf :: Recommender -> () #
Eq Recommender Source #
Instance details Defined in Amazonka.Personalize.Types.Recommender Methods (==) :: Recommender -> Recommender -> Bool # (/=) :: Recommender -> Recommender -> Bool #
Hashable Recommender Source #
Instance details Defined in Amazonka.Personalize.Types.Recommender Methods hashWithSalt :: Int -> Recommender -> Int # hash :: Recommender -> Int #
type Rep Recommender Source #
Instance details Defined in Amazonka.Personalize.Types.Recommender type Rep Recommender = D1 ('MetaData "Recommender" "Amazonka.Personalize.Types.Recommender" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "Recommender'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "latestRecommenderUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommenderUpdateSummary))))) :: ((S1 ('MetaSel ('Just "modelMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Double))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "recipeArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "recommenderArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "recommenderConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommenderConfig)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newRecommender :: Recommender Source #

Create a value of Recommender with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

Recommender, recommender_creationDateTime - The date and time (in Unix format) that the recommender was created.

$sel:datasetGroupArn:Recommender', recommender_datasetGroupArn - The Amazon Resource Name (ARN) of the Domain dataset group that contains the recommender.

Recommender, recommender_failureReason - If a recommender fails, the reason behind the failure.

Recommender, recommender_lastUpdatedDateTime - The date and time (in Unix format) that the recommender was last updated.

$sel:latestRecommenderUpdate:Recommender', recommender_latestRecommenderUpdate - Provides a summary of the latest updates to the recommender.

$sel:modelMetrics:Recommender', recommender_modelMetrics - Provides evaluation metrics that help you determine the performance of a recommender. For more information, see Evaluating a recommender.

$sel:name:Recommender', recommender_name - The name of the recommender.

$sel:recipeArn:Recommender', recommender_recipeArn - The Amazon Resource Name (ARN) of the recipe (Domain dataset group use case) that the recommender was created for.

$sel:recommenderArn:Recommender', recommender_recommenderArn - The Amazon Resource Name (ARN) of the recommender.

Recommender, recommender_recommenderConfig - The configuration details of the recommender.

Recommender, recommender_status - The status of the recommender.

A recommender can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
DELETE PENDING > DELETE IN_PROGRESS

recommender_creationDateTime :: Lens' Recommender (Maybe UTCTime) Source #

The date and time (in Unix format) that the recommender was created.

recommender_datasetGroupArn :: Lens' Recommender (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Domain dataset group that contains the recommender.

recommender_failureReason :: Lens' Recommender (Maybe Text) Source #

If a recommender fails, the reason behind the failure.

recommender_lastUpdatedDateTime :: Lens' Recommender (Maybe UTCTime) Source #

The date and time (in Unix format) that the recommender was last updated.

recommender_latestRecommenderUpdate :: Lens' Recommender (Maybe RecommenderUpdateSummary) Source #

Provides a summary of the latest updates to the recommender.

recommender_modelMetrics :: Lens' Recommender (Maybe (HashMap Text Double)) Source #

Provides evaluation metrics that help you determine the performance of a recommender. For more information, see Evaluating a recommender.

recommender_name :: Lens' Recommender (Maybe Text) Source #

The name of the recommender.

recommender_recipeArn :: Lens' Recommender (Maybe Text) Source #

The Amazon Resource Name (ARN) of the recipe (Domain dataset group use case) that the recommender was created for.

recommender_recommenderArn :: Lens' Recommender (Maybe Text) Source #

The Amazon Resource Name (ARN) of the recommender.

recommender_recommenderConfig :: Lens' Recommender (Maybe RecommenderConfig) Source #

The configuration details of the recommender.

recommender_status :: Lens' Recommender (Maybe Text) Source #

The status of the recommender.

A recommender can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
DELETE PENDING > DELETE IN_PROGRESS

RecommenderConfig

data RecommenderConfig Source #

The configuration details of the recommender.

See: newRecommenderConfig smart constructor.

Constructors

RecommenderConfig'

Fields

itemExplorationConfig :: Maybe (HashMap Text Text)
Specifies the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your recommenders generate personalized recommendations for a user (not popular items or similar items).
minRecommendationRequestsPerSecond :: Maybe Natural
Specifies the requested minimum provisioned recommendation requests per second that Amazon Personalize will support.

Instances

Instances details

FromJSON RecommenderConfig Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderConfig Methods parseJSON :: Value -> Parser RecommenderConfig # parseJSONList :: Value -> Parser [RecommenderConfig] #
ToJSON RecommenderConfig Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderConfig Methods toJSON :: RecommenderConfig -> Value # toEncoding :: RecommenderConfig -> Encoding # toJSONList :: [RecommenderConfig] -> Value # toEncodingList :: [RecommenderConfig] -> Encoding #
Generic RecommenderConfig Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderConfig Associated Types type Rep RecommenderConfig :: Type -> Type # Methods from :: RecommenderConfig -> Rep RecommenderConfig x # to :: Rep RecommenderConfig x -> RecommenderConfig #
Read RecommenderConfig Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderConfig Methods readsPrec :: Int -> ReadS RecommenderConfig # readList :: ReadS [RecommenderConfig] # readPrec :: ReadPrec RecommenderConfig # readListPrec :: ReadPrec [RecommenderConfig] #
Show RecommenderConfig Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderConfig Methods showsPrec :: Int -> RecommenderConfig -> ShowS # show :: RecommenderConfig -> String # showList :: [RecommenderConfig] -> ShowS #
NFData RecommenderConfig Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderConfig Methods rnf :: RecommenderConfig -> () #
Eq RecommenderConfig Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderConfig Methods (==) :: RecommenderConfig -> RecommenderConfig -> Bool # (/=) :: RecommenderConfig -> RecommenderConfig -> Bool #
Hashable RecommenderConfig Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderConfig Methods hashWithSalt :: Int -> RecommenderConfig -> Int # hash :: RecommenderConfig -> Int #
type Rep RecommenderConfig Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderConfig type Rep RecommenderConfig = D1 ('MetaData "RecommenderConfig" "Amazonka.Personalize.Types.RecommenderConfig" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "RecommenderConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "itemExplorationConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "minRecommendationRequestsPerSecond") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newRecommenderConfig :: RecommenderConfig Source #

Create a value of RecommenderConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:itemExplorationConfig:RecommenderConfig', recommenderConfig_itemExplorationConfig - Specifies the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your recommenders generate personalized recommendations for a user (not popular items or similar items).

$sel:minRecommendationRequestsPerSecond:RecommenderConfig', recommenderConfig_minRecommendationRequestsPerSecond - Specifies the requested minimum provisioned recommendation requests per second that Amazon Personalize will support.

recommenderConfig_itemExplorationConfig :: Lens' RecommenderConfig (Maybe (HashMap Text Text)) Source #

Specifies the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your recommenders generate personalized recommendations for a user (not popular items or similar items).

recommenderConfig_minRecommendationRequestsPerSecond :: Lens' RecommenderConfig (Maybe Natural) Source #

Specifies the requested minimum provisioned recommendation requests per second that Amazon Personalize will support.

RecommenderSummary

data RecommenderSummary Source #

Provides a summary of the properties of the recommender.

See: newRecommenderSummary smart constructor.

Constructors

RecommenderSummary'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix format) that the recommender was created.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the Domain dataset group that contains the recommender.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix format) that the recommender was last updated.
name :: Maybe Text
The name of the recommender.
recipeArn :: Maybe Text
The Amazon Resource Name (ARN) of the recipe (Domain dataset group use case) that the recommender was created for.
recommenderArn :: Maybe Text
The Amazon Resource Name (ARN) of the recommender.
recommenderConfig :: Maybe RecommenderConfig
The configuration details of the recommender.
status :: Maybe Text
The status of the recommender. A recommender can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
- DELETE PENDING > DELETE IN_PROGRESS

Instances

Instances details

FromJSON RecommenderSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderSummary Methods parseJSON :: Value -> Parser RecommenderSummary # parseJSONList :: Value -> Parser [RecommenderSummary] #
Generic RecommenderSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderSummary Associated Types type Rep RecommenderSummary :: Type -> Type # Methods from :: RecommenderSummary -> Rep RecommenderSummary x # to :: Rep RecommenderSummary x -> RecommenderSummary #
Read RecommenderSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderSummary Methods readsPrec :: Int -> ReadS RecommenderSummary # readList :: ReadS [RecommenderSummary] # readPrec :: ReadPrec RecommenderSummary # readListPrec :: ReadPrec [RecommenderSummary] #
Show RecommenderSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderSummary Methods showsPrec :: Int -> RecommenderSummary -> ShowS # show :: RecommenderSummary -> String # showList :: [RecommenderSummary] -> ShowS #
NFData RecommenderSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderSummary Methods rnf :: RecommenderSummary -> () #
Eq RecommenderSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderSummary Methods (==) :: RecommenderSummary -> RecommenderSummary -> Bool # (/=) :: RecommenderSummary -> RecommenderSummary -> Bool #
Hashable RecommenderSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderSummary Methods hashWithSalt :: Int -> RecommenderSummary -> Int # hash :: RecommenderSummary -> Int #
type Rep RecommenderSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderSummary type Rep RecommenderSummary = D1 ('MetaData "RecommenderSummary" "Amazonka.Personalize.Types.RecommenderSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "RecommenderSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "recipeArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "recommenderArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "recommenderConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommenderConfig)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newRecommenderSummary :: RecommenderSummary Source #

Create a value of RecommenderSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:RecommenderSummary', recommenderSummary_creationDateTime - The date and time (in Unix format) that the recommender was created.

$sel:datasetGroupArn:RecommenderSummary', recommenderSummary_datasetGroupArn - The Amazon Resource Name (ARN) of the Domain dataset group that contains the recommender.

$sel:lastUpdatedDateTime:RecommenderSummary', recommenderSummary_lastUpdatedDateTime - The date and time (in Unix format) that the recommender was last updated.

$sel:name:RecommenderSummary', recommenderSummary_name - The name of the recommender.

$sel:recipeArn:RecommenderSummary', recommenderSummary_recipeArn - The Amazon Resource Name (ARN) of the recipe (Domain dataset group use case) that the recommender was created for.

$sel:recommenderArn:RecommenderSummary', recommenderSummary_recommenderArn - The Amazon Resource Name (ARN) of the recommender.

$sel:recommenderConfig:RecommenderSummary', recommenderSummary_recommenderConfig - The configuration details of the recommender.

$sel:status:RecommenderSummary', recommenderSummary_status - The status of the recommender. A recommender can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
DELETE PENDING > DELETE IN_PROGRESS

recommenderSummary_creationDateTime :: Lens' RecommenderSummary (Maybe UTCTime) Source #

The date and time (in Unix format) that the recommender was created.

recommenderSummary_datasetGroupArn :: Lens' RecommenderSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Domain dataset group that contains the recommender.

recommenderSummary_lastUpdatedDateTime :: Lens' RecommenderSummary (Maybe UTCTime) Source #

The date and time (in Unix format) that the recommender was last updated.

recommenderSummary_name :: Lens' RecommenderSummary (Maybe Text) Source #

The name of the recommender.

recommenderSummary_recipeArn :: Lens' RecommenderSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the recipe (Domain dataset group use case) that the recommender was created for.

recommenderSummary_recommenderArn :: Lens' RecommenderSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the recommender.

recommenderSummary_recommenderConfig :: Lens' RecommenderSummary (Maybe RecommenderConfig) Source #

The configuration details of the recommender.

recommenderSummary_status :: Lens' RecommenderSummary (Maybe Text) Source #

The status of the recommender. A recommender can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
DELETE PENDING > DELETE IN_PROGRESS

RecommenderUpdateSummary

data RecommenderUpdateSummary Source #

Provides a summary of the properties of a recommender update. For a complete listing, call the DescribeRecommender API.

See: newRecommenderUpdateSummary smart constructor.

Constructors

RecommenderUpdateSummary'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix format) that the recommender update was created.
failureReason :: Maybe Text
If a recommender update fails, the reason behind the failure.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the recommender update was last updated.
recommenderConfig :: Maybe RecommenderConfig
The configuration details of the recommender update.
status :: Maybe Text
The status of the recommender update.
A recommender can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
- DELETE PENDING > DELETE IN_PROGRESS

Instances

Instances details

FromJSON RecommenderUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderUpdateSummary Methods parseJSON :: Value -> Parser RecommenderUpdateSummary # parseJSONList :: Value -> Parser [RecommenderUpdateSummary] #
Generic RecommenderUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderUpdateSummary Associated Types type Rep RecommenderUpdateSummary :: Type -> Type # Methods from :: RecommenderUpdateSummary -> Rep RecommenderUpdateSummary x # to :: Rep RecommenderUpdateSummary x -> RecommenderUpdateSummary #
Read RecommenderUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderUpdateSummary Methods readsPrec :: Int -> ReadS RecommenderUpdateSummary # readList :: ReadS [RecommenderUpdateSummary] # readPrec :: ReadPrec RecommenderUpdateSummary # readListPrec :: ReadPrec [RecommenderUpdateSummary] #
Show RecommenderUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderUpdateSummary Methods showsPrec :: Int -> RecommenderUpdateSummary -> ShowS # show :: RecommenderUpdateSummary -> String # showList :: [RecommenderUpdateSummary] -> ShowS #
NFData RecommenderUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderUpdateSummary Methods rnf :: RecommenderUpdateSummary -> () #
Eq RecommenderUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderUpdateSummary Methods (==) :: RecommenderUpdateSummary -> RecommenderUpdateSummary -> Bool # (/=) :: RecommenderUpdateSummary -> RecommenderUpdateSummary -> Bool #
Hashable RecommenderUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderUpdateSummary Methods hashWithSalt :: Int -> RecommenderUpdateSummary -> Int # hash :: RecommenderUpdateSummary -> Int #
type Rep RecommenderUpdateSummary Source #
Instance details Defined in Amazonka.Personalize.Types.RecommenderUpdateSummary type Rep RecommenderUpdateSummary = D1 ('MetaData "RecommenderUpdateSummary" "Amazonka.Personalize.Types.RecommenderUpdateSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "RecommenderUpdateSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "recommenderConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommenderConfig)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newRecommenderUpdateSummary :: RecommenderUpdateSummary Source #

Create a value of RecommenderUpdateSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:RecommenderUpdateSummary', recommenderUpdateSummary_creationDateTime - The date and time (in Unix format) that the recommender update was created.

$sel:failureReason:RecommenderUpdateSummary', recommenderUpdateSummary_failureReason - If a recommender update fails, the reason behind the failure.

$sel:lastUpdatedDateTime:RecommenderUpdateSummary', recommenderUpdateSummary_lastUpdatedDateTime - The date and time (in Unix time) that the recommender update was last updated.

$sel:recommenderConfig:RecommenderUpdateSummary', recommenderUpdateSummary_recommenderConfig - The configuration details of the recommender update.

$sel:status:RecommenderUpdateSummary', recommenderUpdateSummary_status - The status of the recommender update.

A recommender can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
DELETE PENDING > DELETE IN_PROGRESS

recommenderUpdateSummary_creationDateTime :: Lens' RecommenderUpdateSummary (Maybe UTCTime) Source #

The date and time (in Unix format) that the recommender update was created.

recommenderUpdateSummary_failureReason :: Lens' RecommenderUpdateSummary (Maybe Text) Source #

If a recommender update fails, the reason behind the failure.

recommenderUpdateSummary_lastUpdatedDateTime :: Lens' RecommenderUpdateSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the recommender update was last updated.

recommenderUpdateSummary_recommenderConfig :: Lens' RecommenderUpdateSummary (Maybe RecommenderConfig) Source #

The configuration details of the recommender update.

recommenderUpdateSummary_status :: Lens' RecommenderUpdateSummary (Maybe Text) Source #

The status of the recommender update.

A recommender can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
DELETE PENDING > DELETE IN_PROGRESS

S3DataConfig

data S3DataConfig Source #

The configuration details of an Amazon S3 input or output bucket.

See: newS3DataConfig smart constructor.

Constructors

S3DataConfig'
Fields kmsKeyArn :: Maybe Text The Amazon Resource Name (ARN) of the Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files. path :: Text The file path of the Amazon S3 bucket.

Instances

Instances details

FromJSON S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods parseJSON :: Value -> Parser S3DataConfig # parseJSONList :: Value -> Parser [S3DataConfig] #
ToJSON S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods toJSON :: S3DataConfig -> Value # toEncoding :: S3DataConfig -> Encoding # toJSONList :: [S3DataConfig] -> Value # toEncodingList :: [S3DataConfig] -> Encoding #
Generic S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Associated Types type Rep S3DataConfig :: Type -> Type # Methods from :: S3DataConfig -> Rep S3DataConfig x # to :: Rep S3DataConfig x -> S3DataConfig #
Read S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods readsPrec :: Int -> ReadS S3DataConfig # readList :: ReadS [S3DataConfig] # readPrec :: ReadPrec S3DataConfig # readListPrec :: ReadPrec [S3DataConfig] #
Show S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods showsPrec :: Int -> S3DataConfig -> ShowS # show :: S3DataConfig -> String # showList :: [S3DataConfig] -> ShowS #
NFData S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods rnf :: S3DataConfig -> () #
Eq S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods (==) :: S3DataConfig -> S3DataConfig -> Bool # (/=) :: S3DataConfig -> S3DataConfig -> Bool #
Hashable S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods hashWithSalt :: Int -> S3DataConfig -> Int # hash :: S3DataConfig -> Int #
type Rep S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig type Rep S3DataConfig = D1 ('MetaData "S3DataConfig" "Amazonka.Personalize.Types.S3DataConfig" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "S3DataConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "path") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newS3DataConfig Source #

Arguments

:: Text	`$sel:path:S3DataConfig'`
-> S3DataConfig

Create a value of S3DataConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyArn:S3DataConfig', s3DataConfig_kmsKeyArn - The Amazon Resource Name (ARN) of the Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files.

$sel:path:S3DataConfig', s3DataConfig_path - The file path of the Amazon S3 bucket.

s3DataConfig_kmsKeyArn :: Lens' S3DataConfig (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files.

s3DataConfig_path :: Lens' S3DataConfig Text Source #

The file path of the Amazon S3 bucket.

Solution

data Solution Source #

An object that provides information about a solution. A solution is a trained model that can be deployed as a campaign.

See: newSolution smart constructor.

Constructors

Solution'

Fields

autoMLResult :: Maybe AutoMLResult
When performAutoML is true, specifies the best recipe found.
creationDateTime :: Maybe POSIX
The creation date and time (in Unix time) of the solution.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset group that provides the training data.
eventType :: Maybe Text
The event type (for example, 'click' or 'like') that is used for training the model. If no eventType is provided, Amazon Personalize uses all interactions for training with equal weight regardless of type.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the solution was last updated.
latestSolutionVersion :: Maybe SolutionVersionSummary
Describes the latest version of the solution, including the status and the ARN.
name :: Maybe Text
The name of the solution.
performAutoML :: Maybe Bool
When true, Amazon Personalize performs a search for the best USER_PERSONALIZATION recipe from the list specified in the solution configuration (recipeArn must not be specified). When false (the default), Amazon Personalize uses recipeArn for training.
performHPO :: Maybe Bool
Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
recipeArn :: Maybe Text
The ARN of the recipe used to create the solution.
solutionArn :: Maybe Text
The ARN of the solution.
solutionConfig :: Maybe SolutionConfig
Describes the configuration properties for the solution.
status :: Maybe Text
The status of the solution.
A solution can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS

Instances

Instances details

FromJSON Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Methods parseJSON :: Value -> Parser Solution # parseJSONList :: Value -> Parser [Solution] #
Generic Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Associated Types type Rep Solution :: Type -> Type # Methods from :: Solution -> Rep Solution x # to :: Rep Solution x -> Solution #
Read Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Methods readsPrec :: Int -> ReadS Solution # readList :: ReadS [Solution] # readPrec :: ReadPrec Solution # readListPrec :: ReadPrec [Solution] #
Show Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Methods showsPrec :: Int -> Solution -> ShowS # show :: Solution -> String # showList :: [Solution] -> ShowS #
NFData Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Methods rnf :: Solution -> () #
Eq Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Methods (==) :: Solution -> Solution -> Bool # (/=) :: Solution -> Solution -> Bool #
Hashable Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Methods hashWithSalt :: Int -> Solution -> Int # hash :: Solution -> Int #
type Rep Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution type Rep Solution = D1 ('MetaData "Solution" "Amazonka.Personalize.Types.Solution" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "Solution'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "autoMLResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLResult)) :: (S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "eventType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "latestSolutionVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SolutionVersionSummary))))) :: ((S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "performAutoML") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "performHPO") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))) :: ((S1 ('MetaSel ('Just "recipeArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "solutionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "solutionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SolutionConfig)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newSolution :: Solution Source #

Create a value of Solution with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:autoMLResult:Solution', solution_autoMLResult - When performAutoML is true, specifies the best recipe found.

Solution, solution_creationDateTime - The creation date and time (in Unix time) of the solution.

$sel:datasetGroupArn:Solution', solution_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group that provides the training data.

$sel:eventType:Solution', solution_eventType - The event type (for example, 'click' or 'like') that is used for training the model. If no eventType is provided, Amazon Personalize uses all interactions for training with equal weight regardless of type.

Solution, solution_lastUpdatedDateTime - The date and time (in Unix time) that the solution was last updated.

$sel:latestSolutionVersion:Solution', solution_latestSolutionVersion - Describes the latest version of the solution, including the status and the ARN.

$sel:name:Solution', solution_name - The name of the solution.

$sel:performAutoML:Solution', solution_performAutoML - When true, Amazon Personalize performs a search for the best USER_PERSONALIZATION recipe from the list specified in the solution configuration (recipeArn must not be specified). When false (the default), Amazon Personalize uses recipeArn for training.

$sel:performHPO:Solution', solution_performHPO - Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

$sel:recipeArn:Solution', solution_recipeArn - The ARN of the recipe used to create the solution.

$sel:solutionArn:Solution', solution_solutionArn - The ARN of the solution.

$sel:solutionConfig:Solution', solution_solutionConfig - Describes the configuration properties for the solution.

Solution, solution_status - The status of the solution.

A solution can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

solution_autoMLResult :: Lens' Solution (Maybe AutoMLResult) Source #

When performAutoML is true, specifies the best recipe found.

solution_creationDateTime :: Lens' Solution (Maybe UTCTime) Source #

The creation date and time (in Unix time) of the solution.

solution_datasetGroupArn :: Lens' Solution (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset group that provides the training data.

solution_eventType :: Lens' Solution (Maybe Text) Source #

The event type (for example, 'click' or 'like') that is used for training the model. If no eventType is provided, Amazon Personalize uses all interactions for training with equal weight regardless of type.

solution_lastUpdatedDateTime :: Lens' Solution (Maybe UTCTime) Source #

The date and time (in Unix time) that the solution was last updated.

solution_latestSolutionVersion :: Lens' Solution (Maybe SolutionVersionSummary) Source #

Describes the latest version of the solution, including the status and the ARN.

solution_name :: Lens' Solution (Maybe Text) Source #

The name of the solution.

solution_performAutoML :: Lens' Solution (Maybe Bool) Source #

When true, Amazon Personalize performs a search for the best USER_PERSONALIZATION recipe from the list specified in the solution configuration (recipeArn must not be specified). When false (the default), Amazon Personalize uses recipeArn for training.

solution_performHPO :: Lens' Solution (Maybe Bool) Source #

Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

solution_recipeArn :: Lens' Solution (Maybe Text) Source #

The ARN of the recipe used to create the solution.

solution_solutionArn :: Lens' Solution (Maybe Text) Source #

The ARN of the solution.

solution_solutionConfig :: Lens' Solution (Maybe SolutionConfig) Source #

Describes the configuration properties for the solution.

solution_status :: Lens' Solution (Maybe Text) Source #

The status of the solution.

A solution can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

SolutionConfig

data SolutionConfig Source #

Describes the configuration properties for the solution.

See: newSolutionConfig smart constructor.

Constructors

SolutionConfig'

Fields

algorithmHyperParameters :: Maybe (HashMap Text Text)
Lists the hyperparameter names and ranges.
autoMLConfig :: Maybe AutoMLConfig
The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
eventValueThreshold :: Maybe Text
Only events with a value greater than or equal to this threshold are used for training a model.
featureTransformationParameters :: Maybe (HashMap Text Text)
Lists the feature transformation parameters.
hpoConfig :: Maybe HPOConfig
Describes the properties for hyperparameter optimization (HPO).
optimizationObjective :: Maybe OptimizationObjective
Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

Instances

Instances details

FromJSON SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods parseJSON :: Value -> Parser SolutionConfig # parseJSONList :: Value -> Parser [SolutionConfig] #
ToJSON SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods toJSON :: SolutionConfig -> Value # toEncoding :: SolutionConfig -> Encoding # toJSONList :: [SolutionConfig] -> Value # toEncodingList :: [SolutionConfig] -> Encoding #
Generic SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Associated Types type Rep SolutionConfig :: Type -> Type # Methods from :: SolutionConfig -> Rep SolutionConfig x # to :: Rep SolutionConfig x -> SolutionConfig #
Read SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods readsPrec :: Int -> ReadS SolutionConfig # readList :: ReadS [SolutionConfig] # readPrec :: ReadPrec SolutionConfig # readListPrec :: ReadPrec [SolutionConfig] #
Show SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods showsPrec :: Int -> SolutionConfig -> ShowS # show :: SolutionConfig -> String # showList :: [SolutionConfig] -> ShowS #
NFData SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods rnf :: SolutionConfig -> () #
Eq SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods (==) :: SolutionConfig -> SolutionConfig -> Bool # (/=) :: SolutionConfig -> SolutionConfig -> Bool #
Hashable SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods hashWithSalt :: Int -> SolutionConfig -> Int # hash :: SolutionConfig -> Int #
type Rep SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig type Rep SolutionConfig = D1 ('MetaData "SolutionConfig" "Amazonka.Personalize.Types.SolutionConfig" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "SolutionConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "algorithmHyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "autoMLConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLConfig)) :: S1 ('MetaSel ('Just "eventValueThreshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "featureTransformationParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "hpoConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HPOConfig)) :*: S1 ('MetaSel ('Just "optimizationObjective") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OptimizationObjective))))))

newSolutionConfig :: SolutionConfig Source #

Create a value of SolutionConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:algorithmHyperParameters:SolutionConfig', solutionConfig_algorithmHyperParameters - Lists the hyperparameter names and ranges.

$sel:autoMLConfig:SolutionConfig', solutionConfig_autoMLConfig - The AutoMLConfig object containing a list of recipes to search when AutoML is performed.

$sel:eventValueThreshold:SolutionConfig', solutionConfig_eventValueThreshold - Only events with a value greater than or equal to this threshold are used for training a model.

$sel:featureTransformationParameters:SolutionConfig', solutionConfig_featureTransformationParameters - Lists the feature transformation parameters.

$sel:hpoConfig:SolutionConfig', solutionConfig_hpoConfig - Describes the properties for hyperparameter optimization (HPO).

$sel:optimizationObjective:SolutionConfig', solutionConfig_optimizationObjective - Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

solutionConfig_algorithmHyperParameters :: Lens' SolutionConfig (Maybe (HashMap Text Text)) Source #

Lists the hyperparameter names and ranges.

solutionConfig_autoMLConfig :: Lens' SolutionConfig (Maybe AutoMLConfig) Source #

The AutoMLConfig object containing a list of recipes to search when AutoML is performed.

solutionConfig_eventValueThreshold :: Lens' SolutionConfig (Maybe Text) Source #

Only events with a value greater than or equal to this threshold are used for training a model.

solutionConfig_featureTransformationParameters :: Lens' SolutionConfig (Maybe (HashMap Text Text)) Source #

Lists the feature transformation parameters.

solutionConfig_hpoConfig :: Lens' SolutionConfig (Maybe HPOConfig) Source #

Describes the properties for hyperparameter optimization (HPO).

solutionConfig_optimizationObjective :: Lens' SolutionConfig (Maybe OptimizationObjective) Source #

Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

SolutionSummary

data SolutionSummary Source #

Provides a summary of the properties of a solution. For a complete listing, call the DescribeSolution API.

See: newSolutionSummary smart constructor.

Constructors

SolutionSummary'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the solution was created.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the solution was last updated.
name :: Maybe Text
The name of the solution.
recipeArn :: Maybe Text
The Amazon Resource Name (ARN) of the recipe used by the solution.
solutionArn :: Maybe Text
The Amazon Resource Name (ARN) of the solution.
status :: Maybe Text
The status of the solution.
A solution can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS

Instances

Instances details

FromJSON SolutionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionSummary Methods parseJSON :: Value -> Parser SolutionSummary # parseJSONList :: Value -> Parser [SolutionSummary] #
Generic SolutionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionSummary Associated Types type Rep SolutionSummary :: Type -> Type # Methods from :: SolutionSummary -> Rep SolutionSummary x # to :: Rep SolutionSummary x -> SolutionSummary #
Read SolutionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionSummary Methods readsPrec :: Int -> ReadS SolutionSummary # readList :: ReadS [SolutionSummary] # readPrec :: ReadPrec SolutionSummary # readListPrec :: ReadPrec [SolutionSummary] #
Show SolutionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionSummary Methods showsPrec :: Int -> SolutionSummary -> ShowS # show :: SolutionSummary -> String # showList :: [SolutionSummary] -> ShowS #
NFData SolutionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionSummary Methods rnf :: SolutionSummary -> () #
Eq SolutionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionSummary Methods (==) :: SolutionSummary -> SolutionSummary -> Bool # (/=) :: SolutionSummary -> SolutionSummary -> Bool #
Hashable SolutionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionSummary Methods hashWithSalt :: Int -> SolutionSummary -> Int # hash :: SolutionSummary -> Int #
type Rep SolutionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionSummary type Rep SolutionSummary = D1 ('MetaData "SolutionSummary" "Amazonka.Personalize.Types.SolutionSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "SolutionSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "recipeArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "solutionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newSolutionSummary :: SolutionSummary Source #

Create a value of SolutionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:SolutionSummary', solutionSummary_creationDateTime - The date and time (in Unix time) that the solution was created.

$sel:lastUpdatedDateTime:SolutionSummary', solutionSummary_lastUpdatedDateTime - The date and time (in Unix time) that the solution was last updated.

$sel:name:SolutionSummary', solutionSummary_name - The name of the solution.

$sel:recipeArn:SolutionSummary', solutionSummary_recipeArn - The Amazon Resource Name (ARN) of the recipe used by the solution.

$sel:solutionArn:SolutionSummary', solutionSummary_solutionArn - The Amazon Resource Name (ARN) of the solution.

$sel:status:SolutionSummary', solutionSummary_status - The status of the solution.

A solution can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

solutionSummary_creationDateTime :: Lens' SolutionSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the solution was created.

solutionSummary_lastUpdatedDateTime :: Lens' SolutionSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the solution was last updated.

solutionSummary_name :: Lens' SolutionSummary (Maybe Text) Source #

The name of the solution.

solutionSummary_recipeArn :: Lens' SolutionSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the recipe used by the solution.

solutionSummary_solutionArn :: Lens' SolutionSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the solution.

solutionSummary_status :: Lens' SolutionSummary (Maybe Text) Source #

The status of the solution.

A solution can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

SolutionVersion

data SolutionVersion Source #

An object that provides information about a specific version of a Solution in a Custom dataset group.

See: newSolutionVersion smart constructor.

Constructors

SolutionVersion'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix time) that this version of the solution was created.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset group providing the training data.
eventType :: Maybe Text
The event type (for example, 'click' or 'like') that is used for training the model.
failureReason :: Maybe Text
If training a solution version fails, the reason for the failure.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the solution was last updated.
name :: Maybe Text
The name of the solution version.
performAutoML :: Maybe Bool
When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.
performHPO :: Maybe Bool
Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
recipeArn :: Maybe Text
The ARN of the recipe used in the solution.
solutionArn :: Maybe Text
The ARN of the solution.
solutionConfig :: Maybe SolutionConfig
Describes the configuration properties for the solution.
solutionVersionArn :: Maybe Text
The ARN of the solution version.
status :: Maybe Text
The status of the solution version.
A solution version can be in one of the following states:
- CREATE PENDING
- CREATE IN_PROGRESS
- ACTIVE
- CREATE FAILED
- CREATE STOPPING
- CREATE STOPPED
trainingHours :: Maybe Double
The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.
trainingMode :: Maybe TrainingMode
The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.
The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the HRNN-Coldstart recipe.
tunedHPOParams :: Maybe TunedHPOParams
If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.

Instances

Instances details

FromJSON SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Methods parseJSON :: Value -> Parser SolutionVersion # parseJSONList :: Value -> Parser [SolutionVersion] #
Generic SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Associated Types type Rep SolutionVersion :: Type -> Type # Methods from :: SolutionVersion -> Rep SolutionVersion x # to :: Rep SolutionVersion x -> SolutionVersion #
Read SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Methods readsPrec :: Int -> ReadS SolutionVersion # readList :: ReadS [SolutionVersion] # readPrec :: ReadPrec SolutionVersion # readListPrec :: ReadPrec [SolutionVersion] #
Show SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Methods showsPrec :: Int -> SolutionVersion -> ShowS # show :: SolutionVersion -> String # showList :: [SolutionVersion] -> ShowS #
NFData SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Methods rnf :: SolutionVersion -> () #
Eq SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Methods (==) :: SolutionVersion -> SolutionVersion -> Bool # (/=) :: SolutionVersion -> SolutionVersion -> Bool #
Hashable SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Methods hashWithSalt :: Int -> SolutionVersion -> Int # hash :: SolutionVersion -> Int #
type Rep SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion type Rep SolutionVersion = D1 ('MetaData "SolutionVersion" "Amazonka.Personalize.Types.SolutionVersion" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "SolutionVersion'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "eventType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "performAutoML") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "performHPO") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))) :: (((S1 ('MetaSel ('Just "recipeArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "solutionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "solutionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SolutionConfig)) :: S1 ('MetaSel ('Just "solutionVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "trainingHours") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "trainingMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingMode)) :*: S1 ('MetaSel ('Just "tunedHPOParams") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TunedHPOParams)))))))

newSolutionVersion :: SolutionVersion Source #

Create a value of SolutionVersion with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:SolutionVersion', solutionVersion_creationDateTime - The date and time (in Unix time) that this version of the solution was created.

$sel:datasetGroupArn:SolutionVersion', solutionVersion_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group providing the training data.

$sel:eventType:SolutionVersion', solutionVersion_eventType - The event type (for example, 'click' or 'like') that is used for training the model.

$sel:failureReason:SolutionVersion', solutionVersion_failureReason - If training a solution version fails, the reason for the failure.

$sel:lastUpdatedDateTime:SolutionVersion', solutionVersion_lastUpdatedDateTime - The date and time (in Unix time) that the solution was last updated.

$sel:name:SolutionVersion', solutionVersion_name - The name of the solution version.

$sel:performAutoML:SolutionVersion', solutionVersion_performAutoML - When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.

$sel:performHPO:SolutionVersion', solutionVersion_performHPO - Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

$sel:recipeArn:SolutionVersion', solutionVersion_recipeArn - The ARN of the recipe used in the solution.

$sel:solutionArn:SolutionVersion', solutionVersion_solutionArn - The ARN of the solution.

$sel:solutionConfig:SolutionVersion', solutionVersion_solutionConfig - Describes the configuration properties for the solution.

$sel:solutionVersionArn:SolutionVersion', solutionVersion_solutionVersionArn - The ARN of the solution version.

$sel:status:SolutionVersion', solutionVersion_status - The status of the solution version.

A solution version can be in one of the following states:

CREATE PENDING
CREATE IN_PROGRESS
ACTIVE
CREATE FAILED
CREATE STOPPING
CREATE STOPPED

$sel:trainingHours:SolutionVersion', solutionVersion_trainingHours - The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.

$sel:trainingMode:SolutionVersion', solutionVersion_trainingMode - The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the HRNN-Coldstart recipe.

$sel:tunedHPOParams:SolutionVersion', solutionVersion_tunedHPOParams - If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.

solutionVersion_creationDateTime :: Lens' SolutionVersion (Maybe UTCTime) Source #

The date and time (in Unix time) that this version of the solution was created.

solutionVersion_datasetGroupArn :: Lens' SolutionVersion (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset group providing the training data.

solutionVersion_eventType :: Lens' SolutionVersion (Maybe Text) Source #

The event type (for example, 'click' or 'like') that is used for training the model.

solutionVersion_failureReason :: Lens' SolutionVersion (Maybe Text) Source #

If training a solution version fails, the reason for the failure.

solutionVersion_lastUpdatedDateTime :: Lens' SolutionVersion (Maybe UTCTime) Source #

The date and time (in Unix time) that the solution was last updated.

solutionVersion_name :: Lens' SolutionVersion (Maybe Text) Source #

The name of the solution version.

solutionVersion_performAutoML :: Lens' SolutionVersion (Maybe Bool) Source #

When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.

solutionVersion_performHPO :: Lens' SolutionVersion (Maybe Bool) Source #

Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

solutionVersion_recipeArn :: Lens' SolutionVersion (Maybe Text) Source #

The ARN of the recipe used in the solution.

solutionVersion_solutionArn :: Lens' SolutionVersion (Maybe Text) Source #

The ARN of the solution.

solutionVersion_solutionConfig :: Lens' SolutionVersion (Maybe SolutionConfig) Source #

Describes the configuration properties for the solution.

solutionVersion_solutionVersionArn :: Lens' SolutionVersion (Maybe Text) Source #

The ARN of the solution version.

solutionVersion_status :: Lens' SolutionVersion (Maybe Text) Source #

The status of the solution version.

A solution version can be in one of the following states:

CREATE PENDING
CREATE IN_PROGRESS
ACTIVE
CREATE FAILED
CREATE STOPPING
CREATE STOPPED

solutionVersion_trainingHours :: Lens' SolutionVersion (Maybe Double) Source #

The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.

solutionVersion_trainingMode :: Lens' SolutionVersion (Maybe TrainingMode) Source #

The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the HRNN-Coldstart recipe.

solutionVersion_tunedHPOParams :: Lens' SolutionVersion (Maybe TunedHPOParams) Source #

If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.

SolutionVersionSummary

data SolutionVersionSummary Source #

Provides a summary of the properties of a solution version. For a complete listing, call the DescribeSolutionVersion API.

See: newSolutionVersionSummary smart constructor.

Constructors

SolutionVersionSummary'

Fields

creationDateTime :: Maybe POSIX
The date and time (in Unix time) that this version of a solution was created.
failureReason :: Maybe Text
If a solution version fails, the reason behind the failure.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the solution version was last updated.
solutionVersionArn :: Maybe Text
The Amazon Resource Name (ARN) of the solution version.
status :: Maybe Text
The status of the solution version.
A solution version can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

Instances

Instances details

FromJSON SolutionVersionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersionSummary Methods parseJSON :: Value -> Parser SolutionVersionSummary # parseJSONList :: Value -> Parser [SolutionVersionSummary] #
Generic SolutionVersionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersionSummary Associated Types type Rep SolutionVersionSummary :: Type -> Type # Methods from :: SolutionVersionSummary -> Rep SolutionVersionSummary x # to :: Rep SolutionVersionSummary x -> SolutionVersionSummary #
Read SolutionVersionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersionSummary Methods readsPrec :: Int -> ReadS SolutionVersionSummary # readList :: ReadS [SolutionVersionSummary] # readPrec :: ReadPrec SolutionVersionSummary # readListPrec :: ReadPrec [SolutionVersionSummary] #
Show SolutionVersionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersionSummary Methods showsPrec :: Int -> SolutionVersionSummary -> ShowS # show :: SolutionVersionSummary -> String # showList :: [SolutionVersionSummary] -> ShowS #
NFData SolutionVersionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersionSummary Methods rnf :: SolutionVersionSummary -> () #
Eq SolutionVersionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersionSummary Methods (==) :: SolutionVersionSummary -> SolutionVersionSummary -> Bool # (/=) :: SolutionVersionSummary -> SolutionVersionSummary -> Bool #
Hashable SolutionVersionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersionSummary Methods hashWithSalt :: Int -> SolutionVersionSummary -> Int # hash :: SolutionVersionSummary -> Int #
type Rep SolutionVersionSummary Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersionSummary type Rep SolutionVersionSummary = D1 ('MetaData "SolutionVersionSummary" "Amazonka.Personalize.Types.SolutionVersionSummary" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "SolutionVersionSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "solutionVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newSolutionVersionSummary :: SolutionVersionSummary Source #

Create a value of SolutionVersionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationDateTime:SolutionVersionSummary', solutionVersionSummary_creationDateTime - The date and time (in Unix time) that this version of a solution was created.

$sel:failureReason:SolutionVersionSummary', solutionVersionSummary_failureReason - If a solution version fails, the reason behind the failure.

$sel:lastUpdatedDateTime:SolutionVersionSummary', solutionVersionSummary_lastUpdatedDateTime - The date and time (in Unix time) that the solution version was last updated.

$sel:solutionVersionArn:SolutionVersionSummary', solutionVersionSummary_solutionVersionArn - The Amazon Resource Name (ARN) of the solution version.

$sel:status:SolutionVersionSummary', solutionVersionSummary_status - The status of the solution version.

A solution version can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

solutionVersionSummary_creationDateTime :: Lens' SolutionVersionSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that this version of a solution was created.

solutionVersionSummary_failureReason :: Lens' SolutionVersionSummary (Maybe Text) Source #

If a solution version fails, the reason behind the failure.

solutionVersionSummary_lastUpdatedDateTime :: Lens' SolutionVersionSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the solution version was last updated.

solutionVersionSummary_solutionVersionArn :: Lens' SolutionVersionSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the solution version.

solutionVersionSummary_status :: Lens' SolutionVersionSummary (Maybe Text) Source #

The status of the solution version.

A solution version can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

Tag

data Tag Source #

The optional metadata that you apply to resources to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define. For more information see Tagging Personalize resources.

See: newTag smart constructor.

Constructors

Tag'
Fields tagKey :: Text One part of a key-value pair that makes up a tag. A key is a general label that acts like a category for more specific tag values. tagValue :: Text The optional part of a key-value pair that makes up a tag. A value acts as a descriptor within a tag category (key).

Instances

Instances details

FromJSON Tag Source #
Instance details Defined in Amazonka.Personalize.Types.Tag Methods parseJSON :: Value -> Parser Tag # parseJSONList :: Value -> Parser [Tag] #
ToJSON Tag Source #
Instance details Defined in Amazonka.Personalize.Types.Tag Methods toJSON :: Tag -> Value # toEncoding :: Tag -> Encoding # toJSONList :: [Tag] -> Value # toEncodingList :: [Tag] -> Encoding #
Generic Tag Source #
Instance details Defined in Amazonka.Personalize.Types.Tag Associated Types type Rep Tag :: Type -> Type # Methods from :: Tag -> Rep Tag x # to :: Rep Tag x -> Tag #
Read Tag Source #
Instance details Defined in Amazonka.Personalize.Types.Tag Methods readsPrec :: Int -> ReadS Tag # readList :: ReadS [Tag] # readPrec :: ReadPrec Tag # readListPrec :: ReadPrec [Tag] #
Show Tag Source #
Instance details Defined in Amazonka.Personalize.Types.Tag Methods showsPrec :: Int -> Tag -> ShowS # show :: Tag -> String # showList :: [Tag] -> ShowS #
NFData Tag Source #
Instance details Defined in Amazonka.Personalize.Types.Tag Methods rnf :: Tag -> () #
Eq Tag Source #
Instance details Defined in Amazonka.Personalize.Types.Tag Methods (==) :: Tag -> Tag -> Bool # (/=) :: Tag -> Tag -> Bool #
Hashable Tag Source #
Instance details Defined in Amazonka.Personalize.Types.Tag Methods hashWithSalt :: Int -> Tag -> Int # hash :: Tag -> Int #
type Rep Tag Source #
Instance details Defined in Amazonka.Personalize.Types.Tag type Rep Tag = D1 ('MetaData "Tag" "Amazonka.Personalize.Types.Tag" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "Tag'" 'PrefixI 'True) (S1 ('MetaSel ('Just "tagKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "tagValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTag Source #

Arguments

:: Text	`$sel:tagKey:Tag'`
-> Text	`$sel:tagValue:Tag'`
-> Tag

Create a value of Tag with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:tagKey:Tag', tag_tagKey - One part of a key-value pair that makes up a tag. A key is a general label that acts like a category for more specific tag values.

$sel:tagValue:Tag', tag_tagValue - The optional part of a key-value pair that makes up a tag. A value acts as a descriptor within a tag category (key).

tag_tagKey :: Lens' Tag Text Source #

One part of a key-value pair that makes up a tag. A key is a general label that acts like a category for more specific tag values.

tag_tagValue :: Lens' Tag Text Source #

The optional part of a key-value pair that makes up a tag. A value acts as a descriptor within a tag category (key).

TunedHPOParams

data TunedHPOParams Source #

If hyperparameter optimization (HPO) was performed, contains the hyperparameter values of the best performing model.

See: newTunedHPOParams smart constructor.

Constructors

TunedHPOParams'
Fields algorithmHyperParameters :: Maybe (HashMap Text Text) A list of the hyperparameter values of the best performing model.

Instances

Instances details

FromJSON TunedHPOParams Source #
Instance details Defined in Amazonka.Personalize.Types.TunedHPOParams Methods parseJSON :: Value -> Parser TunedHPOParams # parseJSONList :: Value -> Parser [TunedHPOParams] #
Generic TunedHPOParams Source #
Instance details Defined in Amazonka.Personalize.Types.TunedHPOParams Associated Types type Rep TunedHPOParams :: Type -> Type # Methods from :: TunedHPOParams -> Rep TunedHPOParams x # to :: Rep TunedHPOParams x -> TunedHPOParams #
Read TunedHPOParams Source #
Instance details Defined in Amazonka.Personalize.Types.TunedHPOParams Methods readsPrec :: Int -> ReadS TunedHPOParams # readList :: ReadS [TunedHPOParams] # readPrec :: ReadPrec TunedHPOParams # readListPrec :: ReadPrec [TunedHPOParams] #
Show TunedHPOParams Source #
Instance details Defined in Amazonka.Personalize.Types.TunedHPOParams Methods showsPrec :: Int -> TunedHPOParams -> ShowS # show :: TunedHPOParams -> String # showList :: [TunedHPOParams] -> ShowS #
NFData TunedHPOParams Source #
Instance details Defined in Amazonka.Personalize.Types.TunedHPOParams Methods rnf :: TunedHPOParams -> () #
Eq TunedHPOParams Source #
Instance details Defined in Amazonka.Personalize.Types.TunedHPOParams Methods (==) :: TunedHPOParams -> TunedHPOParams -> Bool # (/=) :: TunedHPOParams -> TunedHPOParams -> Bool #
Hashable TunedHPOParams Source #
Instance details Defined in Amazonka.Personalize.Types.TunedHPOParams Methods hashWithSalt :: Int -> TunedHPOParams -> Int # hash :: TunedHPOParams -> Int #
type Rep TunedHPOParams Source #
Instance details Defined in Amazonka.Personalize.Types.TunedHPOParams type Rep TunedHPOParams = D1 ('MetaData "TunedHPOParams" "Amazonka.Personalize.Types.TunedHPOParams" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "TunedHPOParams'" 'PrefixI 'True) (S1 ('MetaSel ('Just "algorithmHyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))))

newTunedHPOParams :: TunedHPOParams Source #

Create a value of TunedHPOParams with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:algorithmHyperParameters:TunedHPOParams', tunedHPOParams_algorithmHyperParameters - A list of the hyperparameter values of the best performing model.

tunedHPOParams_algorithmHyperParameters :: Lens' TunedHPOParams (Maybe (HashMap Text Text)) Source #

A list of the hyperparameter values of the best performing model.