| 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.LookoutEquipment
Contents
- Service Configuration
- Errors
- Waiters
- Operations
- CreateDataset
- CreateInferenceScheduler
- CreateLabel
- CreateLabelGroup
- CreateModel
- DeleteDataset
- DeleteInferenceScheduler
- DeleteLabel
- DeleteLabelGroup
- DeleteModel
- DescribeDataIngestionJob
- DescribeDataset
- DescribeInferenceScheduler
- DescribeLabel
- DescribeLabelGroup
- DescribeModel
- ListDataIngestionJobs
- ListDatasets
- ListInferenceEvents
- ListInferenceExecutions
- ListInferenceSchedulers
- ListLabelGroups
- ListLabels
- ListModels
- ListSensorStatistics
- ListTagsForResource
- StartDataIngestionJob
- StartInferenceScheduler
- StopInferenceScheduler
- TagResource
- UntagResource
- UpdateInferenceScheduler
- UpdateLabelGroup
- Types
- DataUploadFrequency
- DatasetStatus
- InferenceExecutionStatus
- InferenceSchedulerStatus
- IngestionJobStatus
- LabelRating
- LatestInferenceResult
- ModelStatus
- Monotonicity
- StatisticalIssueStatus
- TargetSamplingRate
- CategoricalValues
- CountPercent
- DataIngestionJobSummary
- DataPreProcessingConfiguration
- DataQualitySummary
- DatasetSchema
- DatasetSummary
- DuplicateTimestamps
- InferenceEventSummary
- InferenceExecutionSummary
- InferenceInputConfiguration
- InferenceInputNameConfiguration
- InferenceOutputConfiguration
- InferenceS3InputConfiguration
- InferenceS3OutputConfiguration
- InferenceSchedulerSummary
- IngestedFilesSummary
- IngestionInputConfiguration
- IngestionS3InputConfiguration
- InsufficientSensorData
- InvalidSensorData
- LabelGroupSummary
- LabelSummary
- LabelsInputConfiguration
- LabelsS3InputConfiguration
- LargeTimestampGaps
- MissingCompleteSensorData
- MissingSensorData
- ModelSummary
- MonotonicValues
- MultipleOperatingModes
- S3Object
- SensorStatisticsSummary
- SensorsWithShortDateRange
- Tag
- UnsupportedTimestamps
Description
Derived from API version 2020-12-15 of the AWS service descriptions, licensed under Apache 2.0.
Amazon Lookout for Equipment is a machine learning service that uses advanced analytics to identify anomalies in machines from sensor data for use in predictive maintenance.
Synopsis
- defaultService :: Service
- _AccessDeniedException :: AsError a => Fold a ServiceError
- _ConflictException :: AsError a => Fold a ServiceError
- _InternalServerException :: AsError a => Fold a ServiceError
- _ResourceNotFoundException :: AsError a => Fold a ServiceError
- _ServiceQuotaExceededException :: AsError a => Fold a ServiceError
- _ThrottlingException :: AsError a => Fold a ServiceError
- _ValidationException :: AsError a => Fold a ServiceError
- data CreateDataset = CreateDataset' (Maybe DatasetSchema) (Maybe Text) (Maybe [Tag]) Text Text
- newCreateDataset :: Text -> Text -> CreateDataset
- data CreateDatasetResponse = CreateDatasetResponse' (Maybe Text) (Maybe Text) (Maybe DatasetStatus) Int
- newCreateDatasetResponse :: Int -> CreateDatasetResponse
- data CreateInferenceScheduler = CreateInferenceScheduler' (Maybe Natural) (Maybe Text) (Maybe [Tag]) Text Text DataUploadFrequency InferenceInputConfiguration InferenceOutputConfiguration Text Text
- newCreateInferenceScheduler :: Text -> Text -> DataUploadFrequency -> InferenceInputConfiguration -> InferenceOutputConfiguration -> Text -> Text -> CreateInferenceScheduler
- data CreateInferenceSchedulerResponse = CreateInferenceSchedulerResponse' (Maybe Text) (Maybe Text) (Maybe InferenceSchedulerStatus) Int
- newCreateInferenceSchedulerResponse :: Int -> CreateInferenceSchedulerResponse
- data CreateLabel = CreateLabel' (Maybe Text) (Maybe Text) (Maybe Text) Text POSIX POSIX LabelRating Text
- newCreateLabel :: Text -> UTCTime -> UTCTime -> LabelRating -> Text -> CreateLabel
- data CreateLabelResponse = CreateLabelResponse' (Maybe Text) Int
- newCreateLabelResponse :: Int -> CreateLabelResponse
- data CreateLabelGroup = CreateLabelGroup' (Maybe [Text]) (Maybe [Tag]) Text Text
- newCreateLabelGroup :: Text -> Text -> CreateLabelGroup
- data CreateLabelGroupResponse = CreateLabelGroupResponse' (Maybe Text) (Maybe Text) Int
- newCreateLabelGroupResponse :: Int -> CreateLabelGroupResponse
- data CreateModel = CreateModel' (Maybe DataPreProcessingConfiguration) (Maybe DatasetSchema) (Maybe POSIX) (Maybe POSIX) (Maybe LabelsInputConfiguration) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe [Tag]) (Maybe POSIX) (Maybe POSIX) Text Text Text
- newCreateModel :: Text -> Text -> Text -> CreateModel
- data CreateModelResponse = CreateModelResponse' (Maybe Text) (Maybe ModelStatus) Int
- newCreateModelResponse :: Int -> CreateModelResponse
- data DeleteDataset = DeleteDataset' Text
- newDeleteDataset :: Text -> DeleteDataset
- data DeleteDatasetResponse = DeleteDatasetResponse' {
- newDeleteDatasetResponse :: DeleteDatasetResponse
- data DeleteInferenceScheduler = DeleteInferenceScheduler' Text
- newDeleteInferenceScheduler :: Text -> DeleteInferenceScheduler
- data DeleteInferenceSchedulerResponse = DeleteInferenceSchedulerResponse' {
- newDeleteInferenceSchedulerResponse :: DeleteInferenceSchedulerResponse
- data DeleteLabel = DeleteLabel' Text Text
- newDeleteLabel :: Text -> Text -> DeleteLabel
- data DeleteLabelResponse = DeleteLabelResponse' {
- newDeleteLabelResponse :: DeleteLabelResponse
- data DeleteLabelGroup = DeleteLabelGroup' Text
- newDeleteLabelGroup :: Text -> DeleteLabelGroup
- data DeleteLabelGroupResponse = DeleteLabelGroupResponse' {
- newDeleteLabelGroupResponse :: DeleteLabelGroupResponse
- data DeleteModel = DeleteModel' Text
- newDeleteModel :: Text -> DeleteModel
- data DeleteModelResponse = DeleteModelResponse' {
- newDeleteModelResponse :: DeleteModelResponse
- data DescribeDataIngestionJob = DescribeDataIngestionJob' Text
- newDescribeDataIngestionJob :: Text -> DescribeDataIngestionJob
- data DescribeDataIngestionJobResponse = DescribeDataIngestionJobResponse' (Maybe POSIX) (Maybe POSIX) (Maybe DataQualitySummary) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Natural) (Maybe IngestedFilesSummary) (Maybe IngestionInputConfiguration) (Maybe Text) (Maybe Text) (Maybe IngestionJobStatus) (Maybe Text) Int
- newDescribeDataIngestionJobResponse :: Int -> DescribeDataIngestionJobResponse
- data DescribeDataset = DescribeDataset' Text
- newDescribeDataset :: Text -> DescribeDataset
- data DescribeDatasetResponse = DescribeDatasetResponse' (Maybe POSIX) (Maybe POSIX) (Maybe DataQualitySummary) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe IngestedFilesSummary) (Maybe IngestionInputConfiguration) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe DatasetStatus) Int
- newDescribeDatasetResponse :: Int -> DescribeDatasetResponse
- data DescribeInferenceScheduler = DescribeInferenceScheduler' Text
- newDescribeInferenceScheduler :: Text -> DescribeInferenceScheduler
- data DescribeInferenceSchedulerResponse = DescribeInferenceSchedulerResponse' (Maybe POSIX) (Maybe Natural) (Maybe InferenceInputConfiguration) (Maybe InferenceOutputConfiguration) (Maybe DataUploadFrequency) (Maybe Text) (Maybe Text) (Maybe LatestInferenceResult) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe InferenceSchedulerStatus) (Maybe POSIX) Int
- newDescribeInferenceSchedulerResponse :: Int -> DescribeInferenceSchedulerResponse
- data DescribeLabel = DescribeLabel' Text Text
- newDescribeLabel :: Text -> Text -> DescribeLabel
- data DescribeLabelResponse = DescribeLabelResponse' (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe LabelRating) (Maybe POSIX) Int
- newDescribeLabelResponse :: Int -> DescribeLabelResponse
- data DescribeLabelGroup = DescribeLabelGroup' Text
- newDescribeLabelGroup :: Text -> DescribeLabelGroup
- data DescribeLabelGroupResponse = DescribeLabelGroupResponse' (Maybe POSIX) (Maybe [Text]) (Maybe Text) (Maybe Text) (Maybe POSIX) Int
- newDescribeLabelGroupResponse :: Int -> DescribeLabelGroupResponse
- data DescribeModel = DescribeModel' Text
- newDescribeModel :: Text -> DescribeModel
- data DescribeModelResponse = DescribeModelResponse' (Maybe POSIX) (Maybe DataPreProcessingConfiguration) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe LabelsInputConfiguration) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe ModelStatus) (Maybe POSIX) (Maybe POSIX) (Maybe POSIX) (Maybe POSIX) Int
- newDescribeModelResponse :: Int -> DescribeModelResponse
- data ListDataIngestionJobs = ListDataIngestionJobs' (Maybe Text) (Maybe Natural) (Maybe Text) (Maybe IngestionJobStatus)
- newListDataIngestionJobs :: ListDataIngestionJobs
- data ListDataIngestionJobsResponse = ListDataIngestionJobsResponse' (Maybe [DataIngestionJobSummary]) (Maybe Text) Int
- newListDataIngestionJobsResponse :: Int -> ListDataIngestionJobsResponse
- data ListDatasets = ListDatasets' (Maybe Text) (Maybe Natural) (Maybe Text)
- newListDatasets :: ListDatasets
- data ListDatasetsResponse = ListDatasetsResponse' (Maybe [DatasetSummary]) (Maybe Text) Int
- newListDatasetsResponse :: Int -> ListDatasetsResponse
- data ListInferenceEvents = ListInferenceEvents' (Maybe Natural) (Maybe Text) Text POSIX POSIX
- newListInferenceEvents :: Text -> UTCTime -> UTCTime -> ListInferenceEvents
- data ListInferenceEventsResponse = ListInferenceEventsResponse' (Maybe [InferenceEventSummary]) (Maybe Text) Int
- newListInferenceEventsResponse :: Int -> ListInferenceEventsResponse
- data ListInferenceExecutions = ListInferenceExecutions' (Maybe POSIX) (Maybe POSIX) (Maybe Natural) (Maybe Text) (Maybe InferenceExecutionStatus) Text
- newListInferenceExecutions :: Text -> ListInferenceExecutions
- data ListInferenceExecutionsResponse = ListInferenceExecutionsResponse' (Maybe [InferenceExecutionSummary]) (Maybe Text) Int
- newListInferenceExecutionsResponse :: Int -> ListInferenceExecutionsResponse
- data ListInferenceSchedulers = ListInferenceSchedulers' (Maybe Text) (Maybe Natural) (Maybe Text) (Maybe Text) (Maybe InferenceSchedulerStatus)
- newListInferenceSchedulers :: ListInferenceSchedulers
- data ListInferenceSchedulersResponse = ListInferenceSchedulersResponse' (Maybe [InferenceSchedulerSummary]) (Maybe Text) Int
- newListInferenceSchedulersResponse :: Int -> ListInferenceSchedulersResponse
- data ListLabelGroups = ListLabelGroups' (Maybe Text) (Maybe Natural) (Maybe Text)
- newListLabelGroups :: ListLabelGroups
- data ListLabelGroupsResponse = ListLabelGroupsResponse' (Maybe [LabelGroupSummary]) (Maybe Text) Int
- newListLabelGroupsResponse :: Int -> ListLabelGroupsResponse
- data ListLabels = ListLabels' (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe Natural) (Maybe Text) Text
- newListLabels :: Text -> ListLabels
- data ListLabelsResponse = ListLabelsResponse' (Maybe [LabelSummary]) (Maybe Text) Int
- newListLabelsResponse :: Int -> ListLabelsResponse
- data ListModels = ListModels' (Maybe Text) (Maybe Natural) (Maybe Text) (Maybe Text) (Maybe ModelStatus)
- newListModels :: ListModels
- data ListModelsResponse = ListModelsResponse' (Maybe [ModelSummary]) (Maybe Text) Int
- newListModelsResponse :: Int -> ListModelsResponse
- data ListSensorStatistics = ListSensorStatistics' (Maybe Text) (Maybe Natural) (Maybe Text) Text
- newListSensorStatistics :: Text -> ListSensorStatistics
- data ListSensorStatisticsResponse = ListSensorStatisticsResponse' (Maybe Text) (Maybe [SensorStatisticsSummary]) Int
- newListSensorStatisticsResponse :: Int -> ListSensorStatisticsResponse
- data ListTagsForResource = ListTagsForResource' Text
- newListTagsForResource :: Text -> ListTagsForResource
- data ListTagsForResourceResponse = ListTagsForResourceResponse' (Maybe [Tag]) Int
- newListTagsForResourceResponse :: Int -> ListTagsForResourceResponse
- data StartDataIngestionJob = StartDataIngestionJob' Text IngestionInputConfiguration Text Text
- newStartDataIngestionJob :: Text -> IngestionInputConfiguration -> Text -> Text -> StartDataIngestionJob
- data StartDataIngestionJobResponse = StartDataIngestionJobResponse' (Maybe Text) (Maybe IngestionJobStatus) Int
- newStartDataIngestionJobResponse :: Int -> StartDataIngestionJobResponse
- data StartInferenceScheduler = StartInferenceScheduler' Text
- newStartInferenceScheduler :: Text -> StartInferenceScheduler
- data StartInferenceSchedulerResponse = StartInferenceSchedulerResponse' (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe InferenceSchedulerStatus) Int
- newStartInferenceSchedulerResponse :: Int -> StartInferenceSchedulerResponse
- data StopInferenceScheduler = StopInferenceScheduler' Text
- newStopInferenceScheduler :: Text -> StopInferenceScheduler
- data StopInferenceSchedulerResponse = StopInferenceSchedulerResponse' (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe InferenceSchedulerStatus) Int
- newStopInferenceSchedulerResponse :: Int -> StopInferenceSchedulerResponse
- data TagResource = TagResource' Text [Tag]
- newTagResource :: Text -> TagResource
- data TagResourceResponse = TagResourceResponse' Int
- newTagResourceResponse :: Int -> TagResourceResponse
- data UntagResource = UntagResource' Text [Text]
- newUntagResource :: Text -> UntagResource
- data UntagResourceResponse = UntagResourceResponse' Int
- newUntagResourceResponse :: Int -> UntagResourceResponse
- data UpdateInferenceScheduler = UpdateInferenceScheduler' (Maybe Natural) (Maybe InferenceInputConfiguration) (Maybe InferenceOutputConfiguration) (Maybe DataUploadFrequency) (Maybe Text) Text
- newUpdateInferenceScheduler :: Text -> UpdateInferenceScheduler
- data UpdateInferenceSchedulerResponse = UpdateInferenceSchedulerResponse' {
- newUpdateInferenceSchedulerResponse :: UpdateInferenceSchedulerResponse
- data UpdateLabelGroup = UpdateLabelGroup' (Maybe [Text]) Text
- newUpdateLabelGroup :: Text -> UpdateLabelGroup
- data UpdateLabelGroupResponse = UpdateLabelGroupResponse' {
- newUpdateLabelGroupResponse :: UpdateLabelGroupResponse
- newtype DataUploadFrequency where
- DataUploadFrequency' { }
- pattern DataUploadFrequency_PT10M :: DataUploadFrequency
- pattern DataUploadFrequency_PT15M :: DataUploadFrequency
- pattern DataUploadFrequency_PT1H :: DataUploadFrequency
- pattern DataUploadFrequency_PT30M :: DataUploadFrequency
- pattern DataUploadFrequency_PT5M :: DataUploadFrequency
- newtype DatasetStatus where
- DatasetStatus' { }
- pattern DatasetStatus_ACTIVE :: DatasetStatus
- pattern DatasetStatus_CREATED :: DatasetStatus
- pattern DatasetStatus_INGESTION_IN_PROGRESS :: DatasetStatus
- newtype InferenceExecutionStatus where
- newtype InferenceSchedulerStatus where
- InferenceSchedulerStatus' { }
- pattern InferenceSchedulerStatus_PENDING :: InferenceSchedulerStatus
- pattern InferenceSchedulerStatus_RUNNING :: InferenceSchedulerStatus
- pattern InferenceSchedulerStatus_STOPPED :: InferenceSchedulerStatus
- pattern InferenceSchedulerStatus_STOPPING :: InferenceSchedulerStatus
- newtype IngestionJobStatus where
- IngestionJobStatus' { }
- pattern IngestionJobStatus_FAILED :: IngestionJobStatus
- pattern IngestionJobStatus_IN_PROGRESS :: IngestionJobStatus
- pattern IngestionJobStatus_SUCCESS :: IngestionJobStatus
- newtype LabelRating where
- LabelRating' { }
- pattern LabelRating_ANOMALY :: LabelRating
- pattern LabelRating_NEUTRAL :: LabelRating
- pattern LabelRating_NO_ANOMALY :: LabelRating
- newtype LatestInferenceResult where
- newtype ModelStatus where
- ModelStatus' { }
- pattern ModelStatus_FAILED :: ModelStatus
- pattern ModelStatus_IN_PROGRESS :: ModelStatus
- pattern ModelStatus_SUCCESS :: ModelStatus
- newtype Monotonicity where
- Monotonicity' { }
- pattern Monotonicity_DECREASING :: Monotonicity
- pattern Monotonicity_INCREASING :: Monotonicity
- pattern Monotonicity_STATIC :: Monotonicity
- newtype StatisticalIssueStatus where
- newtype TargetSamplingRate where
- TargetSamplingRate' { }
- pattern TargetSamplingRate_PT10M :: TargetSamplingRate
- pattern TargetSamplingRate_PT10S :: TargetSamplingRate
- pattern TargetSamplingRate_PT15M :: TargetSamplingRate
- pattern TargetSamplingRate_PT15S :: TargetSamplingRate
- pattern TargetSamplingRate_PT1H :: TargetSamplingRate
- pattern TargetSamplingRate_PT1M :: TargetSamplingRate
- pattern TargetSamplingRate_PT1S :: TargetSamplingRate
- pattern TargetSamplingRate_PT30M :: TargetSamplingRate
- pattern TargetSamplingRate_PT30S :: TargetSamplingRate
- pattern TargetSamplingRate_PT5M :: TargetSamplingRate
- pattern TargetSamplingRate_PT5S :: TargetSamplingRate
- data CategoricalValues = CategoricalValues' (Maybe Int) StatisticalIssueStatus
- newCategoricalValues :: StatisticalIssueStatus -> CategoricalValues
- data CountPercent = CountPercent' Int Double
- newCountPercent :: Int -> Double -> CountPercent
- data DataIngestionJobSummary = DataIngestionJobSummary' (Maybe Text) (Maybe Text) (Maybe IngestionInputConfiguration) (Maybe Text) (Maybe IngestionJobStatus)
- newDataIngestionJobSummary :: DataIngestionJobSummary
- data DataPreProcessingConfiguration = DataPreProcessingConfiguration' (Maybe TargetSamplingRate)
- newDataPreProcessingConfiguration :: DataPreProcessingConfiguration
- data DataQualitySummary = DataQualitySummary' InsufficientSensorData MissingSensorData InvalidSensorData UnsupportedTimestamps DuplicateTimestamps
- newDataQualitySummary :: InsufficientSensorData -> MissingSensorData -> InvalidSensorData -> UnsupportedTimestamps -> DuplicateTimestamps -> DataQualitySummary
- data DatasetSchema = DatasetSchema' (Maybe Text)
- newDatasetSchema :: DatasetSchema
- data DatasetSummary = DatasetSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe DatasetStatus)
- newDatasetSummary :: DatasetSummary
- data DuplicateTimestamps = DuplicateTimestamps' Int
- newDuplicateTimestamps :: Int -> DuplicateTimestamps
- data InferenceEventSummary = InferenceEventSummary' (Maybe Text) (Maybe Natural) (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newInferenceEventSummary :: InferenceEventSummary
- data InferenceExecutionSummary = InferenceExecutionSummary' (Maybe S3Object) (Maybe POSIX) (Maybe InferenceInputConfiguration) (Maybe InferenceOutputConfiguration) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe InferenceExecutionStatus)
- newInferenceExecutionSummary :: InferenceExecutionSummary
- data InferenceInputConfiguration = InferenceInputConfiguration' (Maybe InferenceInputNameConfiguration) (Maybe Text) (Maybe InferenceS3InputConfiguration)
- newInferenceInputConfiguration :: InferenceInputConfiguration
- data InferenceInputNameConfiguration = InferenceInputNameConfiguration' (Maybe Text) (Maybe Text)
- newInferenceInputNameConfiguration :: InferenceInputNameConfiguration
- data InferenceOutputConfiguration = InferenceOutputConfiguration' (Maybe Text) InferenceS3OutputConfiguration
- newInferenceOutputConfiguration :: InferenceS3OutputConfiguration -> InferenceOutputConfiguration
- data InferenceS3InputConfiguration = InferenceS3InputConfiguration' (Maybe Text) Text
- newInferenceS3InputConfiguration :: Text -> InferenceS3InputConfiguration
- data InferenceS3OutputConfiguration = InferenceS3OutputConfiguration' (Maybe Text) Text
- newInferenceS3OutputConfiguration :: Text -> InferenceS3OutputConfiguration
- data InferenceSchedulerSummary = InferenceSchedulerSummary' (Maybe Natural) (Maybe DataUploadFrequency) (Maybe Text) (Maybe Text) (Maybe LatestInferenceResult) (Maybe Text) (Maybe Text) (Maybe InferenceSchedulerStatus)
- newInferenceSchedulerSummary :: InferenceSchedulerSummary
- data IngestedFilesSummary = IngestedFilesSummary' (Maybe [S3Object]) Int Int
- newIngestedFilesSummary :: Int -> Int -> IngestedFilesSummary
- data IngestionInputConfiguration = IngestionInputConfiguration' IngestionS3InputConfiguration
- newIngestionInputConfiguration :: IngestionS3InputConfiguration -> IngestionInputConfiguration
- data IngestionS3InputConfiguration = IngestionS3InputConfiguration' (Maybe Text) (Maybe Text) Text
- newIngestionS3InputConfiguration :: Text -> IngestionS3InputConfiguration
- data InsufficientSensorData = InsufficientSensorData' MissingCompleteSensorData SensorsWithShortDateRange
- newInsufficientSensorData :: MissingCompleteSensorData -> SensorsWithShortDateRange -> InsufficientSensorData
- data InvalidSensorData = InvalidSensorData' Int Int
- newInvalidSensorData :: Int -> Int -> InvalidSensorData
- data LabelGroupSummary = LabelGroupSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX)
- newLabelGroupSummary :: LabelGroupSummary
- data LabelSummary = LabelSummary' (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe LabelRating) (Maybe POSIX)
- newLabelSummary :: LabelSummary
- data LabelsInputConfiguration = LabelsInputConfiguration' (Maybe Text) (Maybe LabelsS3InputConfiguration)
- newLabelsInputConfiguration :: LabelsInputConfiguration
- data LabelsS3InputConfiguration = LabelsS3InputConfiguration' (Maybe Text) Text
- newLabelsS3InputConfiguration :: Text -> LabelsS3InputConfiguration
- data LargeTimestampGaps = LargeTimestampGaps' (Maybe Int) (Maybe Int) StatisticalIssueStatus
- newLargeTimestampGaps :: StatisticalIssueStatus -> LargeTimestampGaps
- data MissingCompleteSensorData = MissingCompleteSensorData' Int
- newMissingCompleteSensorData :: Int -> MissingCompleteSensorData
- data MissingSensorData = MissingSensorData' Int Int
- newMissingSensorData :: Int -> Int -> MissingSensorData
- data ModelSummary = ModelSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe ModelStatus)
- newModelSummary :: ModelSummary
- data MonotonicValues = MonotonicValues' (Maybe Monotonicity) StatisticalIssueStatus
- newMonotonicValues :: StatisticalIssueStatus -> MonotonicValues
- data MultipleOperatingModes = MultipleOperatingModes' StatisticalIssueStatus
- newMultipleOperatingModes :: StatisticalIssueStatus -> MultipleOperatingModes
- data S3Object = S3Object' Text Text
- newS3Object :: Text -> Text -> S3Object
- data SensorStatisticsSummary = SensorStatisticsSummary' (Maybe CategoricalValues) (Maybe Text) (Maybe POSIX) (Maybe Bool) (Maybe POSIX) (Maybe CountPercent) (Maybe CountPercent) (Maybe CountPercent) (Maybe LargeTimestampGaps) (Maybe CountPercent) (Maybe MonotonicValues) (Maybe MultipleOperatingModes) (Maybe Text)
- newSensorStatisticsSummary :: SensorStatisticsSummary
- data SensorsWithShortDateRange = SensorsWithShortDateRange' Int
- newSensorsWithShortDateRange :: Int -> SensorsWithShortDateRange
- data Tag = Tag' Text Text
- newTag :: Text -> Text -> Tag
- data UnsupportedTimestamps = UnsupportedTimestamps' Int
- newUnsupportedTimestamps :: Int -> UnsupportedTimestamps
Service Configuration
defaultService :: Service Source #
API version 2020-12-15 of the Amazon Lookout for Equipment SDK configuration.
Errors
Error matchers are designed for use with the functions provided by
Control.Exception.Lens.
This allows catching (and rethrowing) service specific errors returned
by LookoutEquipment.
AccessDeniedException
_AccessDeniedException :: AsError a => Fold a ServiceError Source #
The request could not be completed because you do not have access to the resource.
ConflictException
_ConflictException :: AsError a => Fold a ServiceError Source #
The request could not be completed due to a conflict with the current state of the target resource.
InternalServerException
_InternalServerException :: AsError a => Fold a ServiceError Source #
Processing of the request has failed because of an unknown error, exception or failure.
ResourceNotFoundException
_ResourceNotFoundException :: AsError a => Fold a ServiceError Source #
The resource requested could not be found. Verify the resource ID and retry your request.
ServiceQuotaExceededException
_ServiceQuotaExceededException :: AsError a => Fold a ServiceError Source #
Resource limitations have been exceeded.
ThrottlingException
_ThrottlingException :: AsError a => Fold a ServiceError Source #
The request was denied due to request throttling.
ValidationException
_ValidationException :: AsError a => Fold a ServiceError Source #
The input fails to satisfy constraints specified by Amazon Lookout for Equipment or a related AWS service that's being utilized.
Waiters
Waiters poll by repeatedly sending a request until some remote success condition
configured by the Wait specification is fulfilled. The Wait specification
determines how many attempts should be made, in addition to delay and retry strategies.
Operations
Some AWS operations return results that are incomplete and require subsequent
requests in order to obtain the entire result set. The process of sending
subsequent requests to continue where a previous request left off is called
pagination. For example, the ListObjects operation of Amazon S3 returns up to
1000 objects at a time, and you must send subsequent requests with the
appropriate Marker in order to retrieve the next page of results.
Operations that have an AWSPager instance can transparently perform subsequent
requests, correctly setting Markers and other request facets to iterate through
the entire result set of a truncated API operation. Operations which support
this have an additional note in the documentation.
Many operations have the ability to filter results on the server side. See the individual operation parameters for details.
CreateDataset
data CreateDataset Source #
See: newCreateDataset smart constructor.
Constructors
| CreateDataset' (Maybe DatasetSchema) (Maybe Text) (Maybe [Tag]) Text Text |
Instances
Arguments
| :: Text | |
| -> Text | |
| -> CreateDataset |
Create a value of CreateDataset 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:datasetSchema:CreateDataset', createDataset_datasetSchema - A JSON description of the data that is in each time series dataset,
including names, column names, and data types.
$sel:serverSideKmsKeyId:CreateDataset', createDataset_serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt dataset data by
Amazon Lookout for Equipment.
$sel:tags:CreateDataset', createDataset_tags - Any tags associated with the ingested data described in the dataset.
CreateDataset, createDataset_datasetName - The name of the dataset being created.
$sel:clientToken:CreateDataset', createDataset_clientToken - A unique identifier for the request. If you do not set the client
request token, Amazon Lookout for Equipment generates one.
data CreateDatasetResponse Source #
See: newCreateDatasetResponse smart constructor.
Constructors
| CreateDatasetResponse' (Maybe Text) (Maybe Text) (Maybe DatasetStatus) Int |
Instances
newCreateDatasetResponse Source #
Create a value of CreateDatasetResponse 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:
CreateDatasetResponse, createDatasetResponse_datasetArn - The Amazon Resource Name (ARN) of the dataset being created.
CreateDataset, createDatasetResponse_datasetName - The name of the dataset being created.
CreateDatasetResponse, createDatasetResponse_status - Indicates the status of the CreateDataset operation.
$sel:httpStatus:CreateDatasetResponse', createDatasetResponse_httpStatus - The response's http status code.
CreateInferenceScheduler
data CreateInferenceScheduler Source #
See: newCreateInferenceScheduler smart constructor.
Constructors
| CreateInferenceScheduler' (Maybe Natural) (Maybe Text) (Maybe [Tag]) Text Text DataUploadFrequency InferenceInputConfiguration InferenceOutputConfiguration Text Text |
Instances
newCreateInferenceScheduler Source #
Arguments
| :: Text | |
| -> Text | |
| -> DataUploadFrequency | |
| -> InferenceInputConfiguration | |
| -> InferenceOutputConfiguration | |
| -> Text | |
| -> Text | |
| -> CreateInferenceScheduler |
Create a value of CreateInferenceScheduler 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:
CreateInferenceScheduler, createInferenceScheduler_dataDelayOffsetInMinutes - The interval (in minutes) of planned delay at the start of each
inference segment. For example, if inference is set to run every ten
minutes, the delay is set to five minutes and the time is 09:08. The
inference scheduler will wake up at the configured interval (which,
without a delay configured, would be 09:10) plus the additional five
minute delay time (so 09:15) to check your Amazon S3 bucket. The delay
provides a buffer for you to upload data at the same frequency, so that
you don't have to stop and restart the scheduler when uploading new
data.
For more information, see Understanding the inference process.
$sel:serverSideKmsKeyId:CreateInferenceScheduler', createInferenceScheduler_serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt inference
scheduler data by Amazon Lookout for Equipment.
$sel:tags:CreateInferenceScheduler', createInferenceScheduler_tags - Any tags associated with the inference scheduler.
CreateInferenceScheduler, createInferenceScheduler_modelName - The name of the previously trained ML model being used to create the
inference scheduler.
CreateInferenceScheduler, createInferenceScheduler_inferenceSchedulerName - The name of the inference scheduler being created.
CreateInferenceScheduler, createInferenceScheduler_dataUploadFrequency - How often data is uploaded to the source Amazon S3 bucket for the input
data. The value chosen is the length of time between data uploads. For
instance, if you select 5 minutes, Amazon Lookout for Equipment will
upload the real-time data to the source bucket once every 5 minutes.
This frequency also determines how often Amazon Lookout for Equipment
runs inference on your data.
For more information, see Understanding the inference process.
CreateInferenceScheduler, createInferenceScheduler_dataInputConfiguration - Specifies configuration information for the input data for the inference
scheduler, including delimiter, format, and dataset location.
CreateInferenceScheduler, createInferenceScheduler_dataOutputConfiguration - Specifies configuration information for the output results for the
inference scheduler, including the S3 location for the output.
$sel:roleArn:CreateInferenceScheduler', createInferenceScheduler_roleArn - The Amazon Resource Name (ARN) of a role with permission to access the
data source being used for the inference.
$sel:clientToken:CreateInferenceScheduler', createInferenceScheduler_clientToken - A unique identifier for the request. If you do not set the client
request token, Amazon Lookout for Equipment generates one.
data CreateInferenceSchedulerResponse Source #
See: newCreateInferenceSchedulerResponse smart constructor.
Constructors
| CreateInferenceSchedulerResponse' (Maybe Text) (Maybe Text) (Maybe InferenceSchedulerStatus) Int |
Instances
newCreateInferenceSchedulerResponse Source #
Create a value of CreateInferenceSchedulerResponse 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:
CreateInferenceSchedulerResponse, createInferenceSchedulerResponse_inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being created.
CreateInferenceScheduler, createInferenceSchedulerResponse_inferenceSchedulerName - The name of inference scheduler being created.
CreateInferenceSchedulerResponse, createInferenceSchedulerResponse_status - Indicates the status of the CreateInferenceScheduler operation.
$sel:httpStatus:CreateInferenceSchedulerResponse', createInferenceSchedulerResponse_httpStatus - The response's http status code.
CreateLabel
data CreateLabel Source #
See: newCreateLabel smart constructor.
Instances
Arguments
| :: Text | |
| -> UTCTime | |
| -> UTCTime | |
| -> LabelRating | |
| -> Text | |
| -> CreateLabel |
Create a value of CreateLabel 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:
CreateLabel, createLabel_equipment - Indicates that a label pertains to a particular piece of equipment.
Data in this field will be retained for service usage. Follow best practices for the security of your data.
CreateLabel, createLabel_faultCode - Provides additional information about the label. The fault code must be
defined in the FaultCodes attribute of the label group.
Data in this field will be retained for service usage. Follow best practices for the security of your data.
$sel:notes:CreateLabel', createLabel_notes - Metadata providing additional information about the label.
Data in this field will be retained for service usage. Follow best practices for the security of your data.
CreateLabel, createLabel_labelGroupName - The name of a group of labels.
Data in this field will be retained for service usage. Follow best practices for the security of your data.
CreateLabel, createLabel_startTime - The start time of the labeled event.
CreateLabel, createLabel_endTime - The end time of the labeled event.
CreateLabel, createLabel_rating - Indicates whether a labeled event represents an anomaly.
$sel:clientToken:CreateLabel', createLabel_clientToken - A unique identifier for the request to create a label. If you do not set
the client request token, Lookout for Equipment generates one.
data CreateLabelResponse Source #
See: newCreateLabelResponse smart constructor.
Constructors
| CreateLabelResponse' (Maybe Text) Int |
Instances
newCreateLabelResponse Source #
Arguments
| :: Int | |
| -> CreateLabelResponse |
Create a value of CreateLabelResponse 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:
CreateLabelResponse, createLabelResponse_labelId - The ID of the label that you have created.
$sel:httpStatus:CreateLabelResponse', createLabelResponse_httpStatus - The response's http status code.
CreateLabelGroup
data CreateLabelGroup Source #
See: newCreateLabelGroup smart constructor.
Instances
Create a value of CreateLabelGroup 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:faultCodes:CreateLabelGroup', createLabelGroup_faultCodes - The acceptable fault codes (indicating the type of anomaly associated
with the label) that can be used with this label group.
Data in this field will be retained for service usage. Follow best practices for the security of your data.
$sel:tags:CreateLabelGroup', createLabelGroup_tags - Tags that provide metadata about the label group you are creating.
Data in this field will be retained for service usage. Follow best practices for the security of your data.
CreateLabelGroup, createLabelGroup_labelGroupName - Names a group of labels.
Data in this field will be retained for service usage. Follow best practices for the security of your data.
$sel:clientToken:CreateLabelGroup', createLabelGroup_clientToken - A unique identifier for the request to create a label group. If you do
not set the client request token, Lookout for Equipment generates one.
data CreateLabelGroupResponse Source #
See: newCreateLabelGroupResponse smart constructor.
Instances
newCreateLabelGroupResponse Source #
Create a value of CreateLabelGroupResponse 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:
CreateLabelGroupResponse, createLabelGroupResponse_labelGroupArn - The ARN of the label group that you have created.
CreateLabelGroup, createLabelGroupResponse_labelGroupName - The name of the label group that you have created. Data in this field
will be retained for service usage. Follow best practices for the
security of your data.
$sel:httpStatus:CreateLabelGroupResponse', createLabelGroupResponse_httpStatus - The response's http status code.
CreateModel
data CreateModel Source #
See: newCreateModel smart constructor.
Constructors
| CreateModel' (Maybe DataPreProcessingConfiguration) (Maybe DatasetSchema) (Maybe POSIX) (Maybe POSIX) (Maybe LabelsInputConfiguration) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe [Tag]) (Maybe POSIX) (Maybe POSIX) Text Text Text |
Instances
Arguments
| :: Text | |
| -> Text | |
| -> Text | |
| -> CreateModel |
Create a value of CreateModel 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:dataPreProcessingConfiguration:CreateModel', createModel_dataPreProcessingConfiguration - The configuration is the TargetSamplingRate, which is the sampling
rate of the data after post processing by Amazon Lookout for Equipment.
For example, if you provide data that has been collected at a 1 second
level and you want the system to resample the data at a 1 minute rate
before training, the TargetSamplingRate is 1 minute.
When providing a value for the TargetSamplingRate, you must attach the
prefix "PT" to the rate you want. The value for a 1 second rate is
therefore PT1S, the value for a 15 minute rate is PT15M, and the
value for a 1 hour rate is PT1H
$sel:datasetSchema:CreateModel', createModel_datasetSchema - The data schema for the ML model being created.
$sel:evaluationDataEndTime:CreateModel', createModel_evaluationDataEndTime - Indicates the time reference in the dataset that should be used to end
the subset of evaluation data for the ML model.
$sel:evaluationDataStartTime:CreateModel', createModel_evaluationDataStartTime - Indicates the time reference in the dataset that should be used to begin
the subset of evaluation data for the ML model.
$sel:labelsInputConfiguration:CreateModel', createModel_labelsInputConfiguration - The input configuration for the labels being used for the ML model
that's being created.
$sel:offCondition:CreateModel', createModel_offCondition - Indicates that the asset associated with this sensor has been shut off.
As long as this condition is met, Lookout for Equipment will not use
data from this asset for training, evaluation, or inference.
$sel:roleArn:CreateModel', createModel_roleArn - The Amazon Resource Name (ARN) of a role with permission to access the
data source being used to create the ML model.
$sel:serverSideKmsKeyId:CreateModel', createModel_serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt model data by
Amazon Lookout for Equipment.
$sel:tags:CreateModel', createModel_tags - Any tags associated with the ML model being created.
$sel:trainingDataEndTime:CreateModel', createModel_trainingDataEndTime - Indicates the time reference in the dataset that should be used to end
the subset of training data for the ML model.
$sel:trainingDataStartTime:CreateModel', createModel_trainingDataStartTime - Indicates the time reference in the dataset that should be used to begin
the subset of training data for the ML model.
CreateModel, createModel_modelName - The name for the ML model to be created.
CreateModel, createModel_datasetName - The name of the dataset for the ML model being created.
$sel:clientToken:CreateModel', createModel_clientToken - A unique identifier for the request. If you do not set the client
request token, Amazon Lookout for Equipment generates one.
data CreateModelResponse Source #
See: newCreateModelResponse smart constructor.
Constructors
| CreateModelResponse' (Maybe Text) (Maybe ModelStatus) Int |
Instances
newCreateModelResponse Source #
Arguments
| :: Int | |
| -> CreateModelResponse |
Create a value of CreateModelResponse 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:
CreateModelResponse, createModelResponse_modelArn - The Amazon Resource Name (ARN) of the model being created.
CreateModelResponse, createModelResponse_status - Indicates the status of the CreateModel operation.
$sel:httpStatus:CreateModelResponse', createModelResponse_httpStatus - The response's http status code.
DeleteDataset
data DeleteDataset Source #
See: newDeleteDataset smart constructor.
Constructors
| DeleteDataset' Text |
Instances
Arguments
| :: Text | |
| -> DeleteDataset |
Create a value of DeleteDataset 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:
DeleteDataset, deleteDataset_datasetName - The name of the dataset to be deleted.
data DeleteDatasetResponse Source #
See: newDeleteDatasetResponse smart constructor.
Constructors
| DeleteDatasetResponse' | |
Instances
newDeleteDatasetResponse :: DeleteDatasetResponse Source #
Create a value of DeleteDatasetResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DeleteInferenceScheduler
data DeleteInferenceScheduler Source #
See: newDeleteInferenceScheduler smart constructor.
Constructors
| DeleteInferenceScheduler' Text |
Instances
newDeleteInferenceScheduler Source #
Arguments
| :: Text | |
| -> DeleteInferenceScheduler |
Create a value of DeleteInferenceScheduler 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:
DeleteInferenceScheduler, deleteInferenceScheduler_inferenceSchedulerName - The name of the inference scheduler to be deleted.
data DeleteInferenceSchedulerResponse Source #
See: newDeleteInferenceSchedulerResponse smart constructor.
Constructors
| DeleteInferenceSchedulerResponse' | |
Instances
| Generic DeleteInferenceSchedulerResponse Source # | |
Defined in Amazonka.LookoutEquipment.DeleteInferenceScheduler Associated Types type Rep DeleteInferenceSchedulerResponse :: Type -> Type # | |
| Read DeleteInferenceSchedulerResponse Source # | |
| Show DeleteInferenceSchedulerResponse Source # | |
Defined in Amazonka.LookoutEquipment.DeleteInferenceScheduler Methods showsPrec :: Int -> DeleteInferenceSchedulerResponse -> ShowS # | |
| NFData DeleteInferenceSchedulerResponse Source # | |
Defined in Amazonka.LookoutEquipment.DeleteInferenceScheduler Methods rnf :: DeleteInferenceSchedulerResponse -> () # | |
| Eq DeleteInferenceSchedulerResponse Source # | |
| type Rep DeleteInferenceSchedulerResponse Source # | |
newDeleteInferenceSchedulerResponse :: DeleteInferenceSchedulerResponse Source #
Create a value of DeleteInferenceSchedulerResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DeleteLabel
data DeleteLabel Source #
See: newDeleteLabel smart constructor.
Constructors
| DeleteLabel' Text Text |
Instances
Arguments
| :: Text | |
| -> Text | |
| -> DeleteLabel |
Create a value of DeleteLabel 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:
DeleteLabel, deleteLabel_labelGroupName - The name of the label group that contains the label that you want to
delete. Data in this field will be retained for service usage. Follow
best practices for the security of your data.
DeleteLabel, deleteLabel_labelId - The ID of the label that you want to delete.
data DeleteLabelResponse Source #
See: newDeleteLabelResponse smart constructor.
Constructors
| DeleteLabelResponse' | |
Instances
newDeleteLabelResponse :: DeleteLabelResponse Source #
Create a value of DeleteLabelResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DeleteLabelGroup
data DeleteLabelGroup Source #
See: newDeleteLabelGroup smart constructor.
Constructors
| DeleteLabelGroup' Text |
Instances
Arguments
| :: Text | |
| -> DeleteLabelGroup |
Create a value of DeleteLabelGroup 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:
DeleteLabelGroup, deleteLabelGroup_labelGroupName - The name of the label group that you want to delete. Data in this field
will be retained for service usage. Follow best practices for the
security of your data.
data DeleteLabelGroupResponse Source #
See: newDeleteLabelGroupResponse smart constructor.
Constructors
| DeleteLabelGroupResponse' | |
Instances
newDeleteLabelGroupResponse :: DeleteLabelGroupResponse Source #
Create a value of DeleteLabelGroupResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DeleteModel
data DeleteModel Source #
See: newDeleteModel smart constructor.
Constructors
| DeleteModel' Text |
Instances
Arguments
| :: Text | |
| -> DeleteModel |
Create a value of DeleteModel 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:
DeleteModel, deleteModel_modelName - The name of the ML model to be deleted.
data DeleteModelResponse Source #
See: newDeleteModelResponse smart constructor.
Constructors
| DeleteModelResponse' | |
Instances
newDeleteModelResponse :: DeleteModelResponse Source #
Create a value of DeleteModelResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DescribeDataIngestionJob
data DescribeDataIngestionJob Source #
See: newDescribeDataIngestionJob smart constructor.
Constructors
| DescribeDataIngestionJob' Text |
Instances
newDescribeDataIngestionJob Source #
Arguments
| :: Text | |
| -> DescribeDataIngestionJob |
Create a value of DescribeDataIngestionJob 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:
DescribeDataIngestionJob, describeDataIngestionJob_jobId - The job ID of the data ingestion job.
data DescribeDataIngestionJobResponse Source #
See: newDescribeDataIngestionJobResponse smart constructor.
Constructors
Instances
newDescribeDataIngestionJobResponse Source #
Create a value of DescribeDataIngestionJobResponse 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:
DescribeDataIngestionJobResponse, describeDataIngestionJobResponse_createdAt - The time at which the data ingestion job was created.
DescribeDataIngestionJobResponse, describeDataIngestionJobResponse_dataEndTime - Indicates the latest timestamp corresponding to data that was
successfully ingested during this specific ingestion job.
$sel:dataQualitySummary:DescribeDataIngestionJobResponse', describeDataIngestionJobResponse_dataQualitySummary - Gives statistics about a completed ingestion job. These statistics
primarily relate to quantifying incorrect data such as
MissingCompleteSensorData, MissingSensorData, UnsupportedDateFormats,
InsufficientSensorData, and DuplicateTimeStamps.
DescribeDataIngestionJobResponse, describeDataIngestionJobResponse_dataStartTime - Indicates the earliest timestamp corresponding to data that was
successfully ingested during this specific ingestion job.
DescribeDataIngestionJobResponse, describeDataIngestionJobResponse_datasetArn - The Amazon Resource Name (ARN) of the dataset being used in the data
ingestion job.
DescribeDataIngestionJobResponse, describeDataIngestionJobResponse_failedReason - Specifies the reason for failure when a data ingestion job has failed.
$sel:ingestedDataSize:DescribeDataIngestionJobResponse', describeDataIngestionJobResponse_ingestedDataSize - Indicates the size of the ingested dataset.
$sel:ingestedFilesSummary:DescribeDataIngestionJobResponse', describeDataIngestionJobResponse_ingestedFilesSummary - Undocumented member.
DescribeDataIngestionJobResponse, describeDataIngestionJobResponse_ingestionInputConfiguration - Specifies the S3 location configuration for the data input for the data
ingestion job.
DescribeDataIngestionJob, describeDataIngestionJobResponse_jobId - Indicates the job ID of the data ingestion job.
$sel:roleArn:DescribeDataIngestionJobResponse', describeDataIngestionJobResponse_roleArn - The Amazon Resource Name (ARN) of an IAM role with permission to access
the data source being ingested.
DescribeDataIngestionJobResponse, describeDataIngestionJobResponse_status - Indicates the status of the DataIngestionJob operation.
$sel:statusDetail:DescribeDataIngestionJobResponse', describeDataIngestionJobResponse_statusDetail - Provides details about status of the ingestion job that is currently in
progress.
$sel:httpStatus:DescribeDataIngestionJobResponse', describeDataIngestionJobResponse_httpStatus - The response's http status code.
DescribeDataset
data DescribeDataset Source #
See: newDescribeDataset smart constructor.
Constructors
| DescribeDataset' Text |
Instances
Arguments
| :: Text | |
| -> DescribeDataset |
Create a value of DescribeDataset 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:
DescribeDataset, describeDataset_datasetName - The name of the dataset to be described.
data DescribeDatasetResponse Source #
See: newDescribeDatasetResponse smart constructor.
Constructors
| DescribeDatasetResponse' (Maybe POSIX) (Maybe POSIX) (Maybe DataQualitySummary) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe IngestedFilesSummary) (Maybe IngestionInputConfiguration) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe DatasetStatus) Int |
Instances
newDescribeDatasetResponse Source #
Create a value of DescribeDatasetResponse 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:
DescribeDatasetResponse, describeDatasetResponse_createdAt - Specifies the time the dataset was created in Lookout for Equipment.
DescribeDatasetResponse, describeDatasetResponse_dataEndTime - Indicates the latest timestamp corresponding to data that was
successfully ingested during the most recent ingestion of this
particular dataset.
$sel:dataQualitySummary:DescribeDatasetResponse', describeDatasetResponse_dataQualitySummary - Gives statistics associated with the given dataset for the latest
successful associated ingestion job id. These statistics primarily
relate to quantifying incorrect data such as MissingCompleteSensorData,
MissingSensorData, UnsupportedDateFormats, InsufficientSensorData, and
DuplicateTimeStamps.
DescribeDatasetResponse, describeDatasetResponse_dataStartTime - Indicates the earliest timestamp corresponding to data that was
successfully ingested during the most recent ingestion of this
particular dataset.
DescribeDatasetResponse, describeDatasetResponse_datasetArn - The Amazon Resource Name (ARN) of the dataset being described.
DescribeDataset, describeDatasetResponse_datasetName - The name of the dataset being described.
$sel:ingestedFilesSummary:DescribeDatasetResponse', describeDatasetResponse_ingestedFilesSummary - IngestedFilesSummary associated with the given dataset for the latest
successful associated ingestion job id.
DescribeDatasetResponse, describeDatasetResponse_ingestionInputConfiguration - Specifies the S3 location configuration for the data input for the data
ingestion job.
$sel:lastUpdatedAt:DescribeDatasetResponse', describeDatasetResponse_lastUpdatedAt - Specifies the time the dataset was last updated, if it was.
$sel:roleArn:DescribeDatasetResponse', describeDatasetResponse_roleArn - The Amazon Resource Name (ARN) of the IAM role that you are using for
this the data ingestion job.
$sel:schema:DescribeDatasetResponse', describeDatasetResponse_schema - A JSON description of the data that is in each time series dataset,
including names, column names, and data types.
$sel:serverSideKmsKeyId:DescribeDatasetResponse', describeDatasetResponse_serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt dataset data by
Amazon Lookout for Equipment.
DescribeDatasetResponse, describeDatasetResponse_status - Indicates the status of the dataset.
$sel:httpStatus:DescribeDatasetResponse', describeDatasetResponse_httpStatus - The response's http status code.
DescribeInferenceScheduler
data DescribeInferenceScheduler Source #
See: newDescribeInferenceScheduler smart constructor.
Constructors
| DescribeInferenceScheduler' Text |
Instances
newDescribeInferenceScheduler Source #
Arguments
| :: Text | |
| -> DescribeInferenceScheduler |
Create a value of DescribeInferenceScheduler 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:
DescribeInferenceScheduler, describeInferenceScheduler_inferenceSchedulerName - The name of the inference scheduler being described.
data DescribeInferenceSchedulerResponse Source #
See: newDescribeInferenceSchedulerResponse smart constructor.
Constructors
Instances
newDescribeInferenceSchedulerResponse Source #
Arguments
| :: Int | |
| -> DescribeInferenceSchedulerResponse |
Create a value of DescribeInferenceSchedulerResponse 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:
DescribeInferenceSchedulerResponse, describeInferenceSchedulerResponse_createdAt - Specifies the time at which the inference scheduler was created.
DescribeInferenceSchedulerResponse, describeInferenceSchedulerResponse_dataDelayOffsetInMinutes - A period of time (in minutes) by which inference on the data is delayed
after the data starts. For instance, if you select an offset delay time
of five minutes, inference will not begin on the data until the first
data measurement after the five minute mark. For example, if five
minutes is selected, the inference scheduler will wake up at the
configured frequency with the additional five minute delay time to check
the customer S3 bucket. The customer can upload data at the same
frequency and they don't need to stop and restart the scheduler when
uploading new data.
DescribeInferenceSchedulerResponse, describeInferenceSchedulerResponse_dataInputConfiguration - Specifies configuration information for the input data for the inference
scheduler, including delimiter, format, and dataset location.
DescribeInferenceSchedulerResponse, describeInferenceSchedulerResponse_dataOutputConfiguration - Specifies information for the output results for the inference
scheduler, including the output S3 location.
DescribeInferenceSchedulerResponse, describeInferenceSchedulerResponse_dataUploadFrequency - Specifies how often data is uploaded to the source S3 bucket for the
input data. This value is the length of time between data uploads. For
instance, if you select 5 minutes, Amazon Lookout for Equipment will
upload the real-time data to the source bucket once every 5 minutes.
This frequency also determines how often Amazon Lookout for Equipment
starts a scheduled inference on your data. In this example, it starts
once every 5 minutes.
DescribeInferenceSchedulerResponse, describeInferenceSchedulerResponse_inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being
described.
DescribeInferenceScheduler, describeInferenceSchedulerResponse_inferenceSchedulerName - The name of the inference scheduler being described.
DescribeInferenceSchedulerResponse, describeInferenceSchedulerResponse_latestInferenceResult - Indicates whether the latest execution for the inference scheduler was
Anomalous (anomalous events found) or Normal (no anomalous events
found).
DescribeInferenceSchedulerResponse, describeInferenceSchedulerResponse_modelArn - The Amazon Resource Name (ARN) of the ML model of the inference
scheduler being described.
DescribeInferenceSchedulerResponse, describeInferenceSchedulerResponse_modelName - The name of the ML model of the inference scheduler being described.
$sel:roleArn:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_roleArn - The Amazon Resource Name (ARN) of a role with permission to access the
data source for the inference scheduler being described.
$sel:serverSideKmsKeyId:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt inference
scheduler data by Amazon Lookout for Equipment.
DescribeInferenceSchedulerResponse, describeInferenceSchedulerResponse_status - Indicates the status of the inference scheduler.
DescribeInferenceSchedulerResponse, describeInferenceSchedulerResponse_updatedAt - Specifies the time at which the inference scheduler was last updated, if
it was.
$sel:httpStatus:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_httpStatus - The response's http status code.
DescribeLabel
data DescribeLabel Source #
See: newDescribeLabel smart constructor.
Constructors
| DescribeLabel' Text Text |
Instances
Arguments
| :: Text | |
| -> Text | |
| -> DescribeLabel |
Create a value of DescribeLabel 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:
DescribeLabel, describeLabel_labelGroupName - Returns the name of the group containing the label.
DescribeLabel, describeLabel_labelId - Returns the ID of the label.
data DescribeLabelResponse Source #
See: newDescribeLabelResponse smart constructor.
Constructors
| DescribeLabelResponse' (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe LabelRating) (Maybe POSIX) Int |
Instances
newDescribeLabelResponse Source #
Create a value of DescribeLabelResponse 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:
DescribeLabelResponse, describeLabelResponse_createdAt - The time at which the label was created.
DescribeLabelResponse, describeLabelResponse_endTime - The end time of the requested label.
DescribeLabelResponse, describeLabelResponse_equipment - Indicates that a label pertains to a particular piece of equipment.
DescribeLabelResponse, describeLabelResponse_faultCode - Indicates the type of anomaly associated with the label.
Data in this field will be retained for service usage. Follow best practices for the security of your data.
DescribeLabelResponse, describeLabelResponse_labelGroupArn - The ARN of the requested label group.
DescribeLabel, describeLabelResponse_labelGroupName - The name of the requested label group.
DescribeLabel, describeLabelResponse_labelId - The ID of the requested label.
$sel:notes:DescribeLabelResponse', describeLabelResponse_notes - Metadata providing additional information about the label.
Data in this field will be retained for service usage. Follow best practices for the security of your data.
DescribeLabelResponse, describeLabelResponse_rating - Indicates whether a labeled event represents an anomaly.
DescribeLabelResponse, describeLabelResponse_startTime - The start time of the requested label.
$sel:httpStatus:DescribeLabelResponse', describeLabelResponse_httpStatus - The response's http status code.
DescribeLabelGroup
data DescribeLabelGroup Source #
See: newDescribeLabelGroup smart constructor.
Constructors
| DescribeLabelGroup' Text |
Instances
newDescribeLabelGroup Source #
Arguments
| :: Text | |
| -> DescribeLabelGroup |
Create a value of DescribeLabelGroup 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:
DescribeLabelGroup, describeLabelGroup_labelGroupName - Returns the name of the label group.
data DescribeLabelGroupResponse Source #
See: newDescribeLabelGroupResponse smart constructor.
Constructors
| DescribeLabelGroupResponse' (Maybe POSIX) (Maybe [Text]) (Maybe Text) (Maybe Text) (Maybe POSIX) Int |
Instances
newDescribeLabelGroupResponse Source #
Create a value of DescribeLabelGroupResponse 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:
DescribeLabelGroupResponse, describeLabelGroupResponse_createdAt - The time at which the label group was created.
$sel:faultCodes:DescribeLabelGroupResponse', describeLabelGroupResponse_faultCodes - Codes indicating the type of anomaly associated with the labels in the
lagbel group.
DescribeLabelGroupResponse, describeLabelGroupResponse_labelGroupArn - The ARN of the label group.
DescribeLabelGroup, describeLabelGroupResponse_labelGroupName - The name of the label group.
DescribeLabelGroupResponse, describeLabelGroupResponse_updatedAt - The time at which the label group was updated.
$sel:httpStatus:DescribeLabelGroupResponse', describeLabelGroupResponse_httpStatus - The response's http status code.
DescribeModel
data DescribeModel Source #
See: newDescribeModel smart constructor.
Constructors
| DescribeModel' Text |
Instances
Arguments
| :: Text | |
| -> DescribeModel |
Create a value of DescribeModel 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:
DescribeModel, describeModel_modelName - The name of the ML model to be described.
data DescribeModelResponse Source #
See: newDescribeModelResponse smart constructor.
Constructors
| DescribeModelResponse' (Maybe POSIX) (Maybe DataPreProcessingConfiguration) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe LabelsInputConfiguration) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe ModelStatus) (Maybe POSIX) (Maybe POSIX) (Maybe POSIX) (Maybe POSIX) Int |
Instances
newDescribeModelResponse Source #
Create a value of DescribeModelResponse 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:
DescribeModelResponse, describeModelResponse_createdAt - Indicates the time and date at which the ML model was created.
$sel:dataPreProcessingConfiguration:DescribeModelResponse', describeModelResponse_dataPreProcessingConfiguration - The configuration is the TargetSamplingRate, which is the sampling
rate of the data after post processing by Amazon Lookout for Equipment.
For example, if you provide data that has been collected at a 1 second
level and you want the system to resample the data at a 1 minute rate
before training, the TargetSamplingRate is 1 minute.
When providing a value for the TargetSamplingRate, you must attach the
prefix "PT" to the rate you want. The value for a 1 second rate is
therefore PT1S, the value for a 15 minute rate is PT15M, and the
value for a 1 hour rate is PT1H
DescribeModelResponse, describeModelResponse_datasetArn - The Amazon Resouce Name (ARN) of the dataset used to create the ML model
being described.
DescribeModelResponse, describeModelResponse_datasetName - The name of the dataset being used by the ML being described.
$sel:evaluationDataEndTime:DescribeModelResponse', describeModelResponse_evaluationDataEndTime - Indicates the time reference in the dataset that was used to end the
subset of evaluation data for the ML model.
$sel:evaluationDataStartTime:DescribeModelResponse', describeModelResponse_evaluationDataStartTime - Indicates the time reference in the dataset that was used to begin the
subset of evaluation data for the ML model.
DescribeModelResponse, describeModelResponse_failedReason - If the training of the ML model failed, this indicates the reason for
that failure.
$sel:labelsInputConfiguration:DescribeModelResponse', describeModelResponse_labelsInputConfiguration - Specifies configuration information about the labels input, including
its S3 location.
$sel:lastUpdatedTime:DescribeModelResponse', describeModelResponse_lastUpdatedTime - Indicates the last time the ML model was updated. The type of update is
not specified.
DescribeModelResponse, describeModelResponse_modelArn - The Amazon Resource Name (ARN) of the ML model being described.
$sel:modelMetrics:DescribeModelResponse', describeModelResponse_modelMetrics - The Model Metrics show an aggregated summary of the model's performance
within the evaluation time range. This is the JSON content of the
metrics created when evaluating the model.
DescribeModel, describeModelResponse_modelName - The name of the ML model being described.
$sel:offCondition:DescribeModelResponse', describeModelResponse_offCondition - Indicates that the asset associated with this sensor has been shut off.
As long as this condition is met, Lookout for Equipment will not use
data from this asset for training, evaluation, or inference.
$sel:roleArn:DescribeModelResponse', describeModelResponse_roleArn - The Amazon Resource Name (ARN) of a role with permission to access the
data source for the ML model being described.
$sel:schema:DescribeModelResponse', describeModelResponse_schema - A JSON description of the data that is in each time series dataset,
including names, column names, and data types.
$sel:serverSideKmsKeyId:DescribeModelResponse', describeModelResponse_serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt model data by
Amazon Lookout for Equipment.
DescribeModelResponse, describeModelResponse_status - Specifies the current status of the model being described. Status
describes the status of the most recent action of the model.
$sel:trainingDataEndTime:DescribeModelResponse', describeModelResponse_trainingDataEndTime - Indicates the time reference in the dataset that was used to end the
subset of training data for the ML model.
$sel:trainingDataStartTime:DescribeModelResponse', describeModelResponse_trainingDataStartTime - Indicates the time reference in the dataset that was used to begin the
subset of training data for the ML model.
$sel:trainingExecutionEndTime:DescribeModelResponse', describeModelResponse_trainingExecutionEndTime - Indicates the time at which the training of the ML model was completed.
$sel:trainingExecutionStartTime:DescribeModelResponse', describeModelResponse_trainingExecutionStartTime - Indicates the time at which the training of the ML model began.
$sel:httpStatus:DescribeModelResponse', describeModelResponse_httpStatus - The response's http status code.
ListDataIngestionJobs
data ListDataIngestionJobs Source #
See: newListDataIngestionJobs smart constructor.
Constructors
| ListDataIngestionJobs' (Maybe Text) (Maybe Natural) (Maybe Text) (Maybe IngestionJobStatus) |
Instances
newListDataIngestionJobs :: ListDataIngestionJobs Source #
Create a value of ListDataIngestionJobs 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:
ListDataIngestionJobs, listDataIngestionJobs_datasetName - The name of the dataset being used for the data ingestion job.
$sel:maxResults:ListDataIngestionJobs', listDataIngestionJobs_maxResults - Specifies the maximum number of data ingestion jobs to list.
ListDataIngestionJobs, listDataIngestionJobs_nextToken - An opaque pagination token indicating where to continue the listing of
data ingestion jobs.
ListDataIngestionJobs, listDataIngestionJobs_status - Indicates the status of the data ingestion job.
data ListDataIngestionJobsResponse Source #
See: newListDataIngestionJobsResponse smart constructor.
Constructors
| ListDataIngestionJobsResponse' (Maybe [DataIngestionJobSummary]) (Maybe Text) Int |
Instances
newListDataIngestionJobsResponse Source #
Create a value of ListDataIngestionJobsResponse 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:dataIngestionJobSummaries:ListDataIngestionJobsResponse', listDataIngestionJobsResponse_dataIngestionJobSummaries - Specifies information about the specific data ingestion job, including
dataset name and status.
ListDataIngestionJobs, listDataIngestionJobsResponse_nextToken - An opaque pagination token indicating where to continue the listing of
data ingestion jobs.
$sel:httpStatus:ListDataIngestionJobsResponse', listDataIngestionJobsResponse_httpStatus - The response's http status code.
ListDatasets
data ListDatasets Source #
See: newListDatasets smart constructor.
Instances
newListDatasets :: ListDatasets Source #
Create a value of ListDatasets 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:datasetNameBeginsWith:ListDatasets', listDatasets_datasetNameBeginsWith - The beginning of the name of the datasets to be listed.
$sel:maxResults:ListDatasets', listDatasets_maxResults - Specifies the maximum number of datasets to list.
ListDatasets, listDatasets_nextToken - An opaque pagination token indicating where to continue the listing of
datasets.
data ListDatasetsResponse Source #
See: newListDatasetsResponse smart constructor.
Constructors
| ListDatasetsResponse' (Maybe [DatasetSummary]) (Maybe Text) Int |
Instances
newListDatasetsResponse Source #
Arguments
| :: Int | |
| -> ListDatasetsResponse |
Create a value of ListDatasetsResponse 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:datasetSummaries:ListDatasetsResponse', listDatasetsResponse_datasetSummaries - Provides information about the specified dataset, including creation
time, dataset ARN, and status.
ListDatasets, listDatasetsResponse_nextToken - An opaque pagination token indicating where to continue the listing of
datasets.
$sel:httpStatus:ListDatasetsResponse', listDatasetsResponse_httpStatus - The response's http status code.
ListInferenceEvents
data ListInferenceEvents Source #
See: newListInferenceEvents smart constructor.
Instances
newListInferenceEvents Source #
Arguments
| :: Text | |
| -> UTCTime | |
| -> UTCTime | |
| -> ListInferenceEvents |
Create a value of ListInferenceEvents 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:maxResults:ListInferenceEvents', listInferenceEvents_maxResults - Specifies the maximum number of inference events to list.
ListInferenceEvents, listInferenceEvents_nextToken - An opaque pagination token indicating where to continue the listing of
inference events.
ListInferenceEvents, listInferenceEvents_inferenceSchedulerName - The name of the inference scheduler for the inference events listed.
$sel:intervalStartTime:ListInferenceEvents', listInferenceEvents_intervalStartTime - Lookout for Equipment will return all the inference events with an end
time equal to or greater than the start time given.
$sel:intervalEndTime:ListInferenceEvents', listInferenceEvents_intervalEndTime - Returns all the inference events with an end start time equal to or
greater than less than the end time given
data ListInferenceEventsResponse Source #
See: newListInferenceEventsResponse smart constructor.
Constructors
| ListInferenceEventsResponse' (Maybe [InferenceEventSummary]) (Maybe Text) Int |
Instances
newListInferenceEventsResponse Source #
Create a value of ListInferenceEventsResponse 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:inferenceEventSummaries:ListInferenceEventsResponse', listInferenceEventsResponse_inferenceEventSummaries - Provides an array of information about the individual inference events
returned from the ListInferenceEvents operation, including scheduler
used, event start time, event end time, diagnostics, and so on.
ListInferenceEvents, listInferenceEventsResponse_nextToken - An opaque pagination token indicating where to continue the listing of
inference executions.
$sel:httpStatus:ListInferenceEventsResponse', listInferenceEventsResponse_httpStatus - The response's http status code.
ListInferenceExecutions
data ListInferenceExecutions Source #
See: newListInferenceExecutions smart constructor.
Constructors
| ListInferenceExecutions' (Maybe POSIX) (Maybe POSIX) (Maybe Natural) (Maybe Text) (Maybe InferenceExecutionStatus) Text |
Instances
newListInferenceExecutions Source #
Arguments
| :: Text | |
| -> ListInferenceExecutions |
Create a value of ListInferenceExecutions 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:dataEndTimeBefore:ListInferenceExecutions', listInferenceExecutions_dataEndTimeBefore - The time reference in the inferenced dataset before which Amazon Lookout
for Equipment stopped the inference execution.
$sel:dataStartTimeAfter:ListInferenceExecutions', listInferenceExecutions_dataStartTimeAfter - The time reference in the inferenced dataset after which Amazon Lookout
for Equipment started the inference execution.
$sel:maxResults:ListInferenceExecutions', listInferenceExecutions_maxResults - Specifies the maximum number of inference executions to list.
ListInferenceExecutions, listInferenceExecutions_nextToken - An opaque pagination token indicating where to continue the listing of
inference executions.
ListInferenceExecutions, listInferenceExecutions_status - The status of the inference execution.
ListInferenceExecutions, listInferenceExecutions_inferenceSchedulerName - The name of the inference scheduler for the inference execution listed.
data ListInferenceExecutionsResponse Source #
See: newListInferenceExecutionsResponse smart constructor.
Constructors
| ListInferenceExecutionsResponse' (Maybe [InferenceExecutionSummary]) (Maybe Text) Int |
Instances
newListInferenceExecutionsResponse Source #
Create a value of ListInferenceExecutionsResponse 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:inferenceExecutionSummaries:ListInferenceExecutionsResponse', listInferenceExecutionsResponse_inferenceExecutionSummaries - Provides an array of information about the individual inference
executions returned from the ListInferenceExecutions operation,
including model used, inference scheduler, data configuration, and so
on.
ListInferenceExecutions, listInferenceExecutionsResponse_nextToken - An opaque pagination token indicating where to continue the listing of
inference executions.
$sel:httpStatus:ListInferenceExecutionsResponse', listInferenceExecutionsResponse_httpStatus - The response's http status code.
ListInferenceSchedulers
data ListInferenceSchedulers Source #
See: newListInferenceSchedulers smart constructor.
Constructors
| ListInferenceSchedulers' (Maybe Text) (Maybe Natural) (Maybe Text) (Maybe Text) (Maybe InferenceSchedulerStatus) |
Instances
newListInferenceSchedulers :: ListInferenceSchedulers Source #
Create a value of ListInferenceSchedulers 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:inferenceSchedulerNameBeginsWith:ListInferenceSchedulers', listInferenceSchedulers_inferenceSchedulerNameBeginsWith - The beginning of the name of the inference schedulers to be listed.
$sel:maxResults:ListInferenceSchedulers', listInferenceSchedulers_maxResults - Specifies the maximum number of inference schedulers to list.
ListInferenceSchedulers, listInferenceSchedulers_modelName - The name of the ML model used by the inference scheduler to be listed.
ListInferenceSchedulers, listInferenceSchedulers_nextToken - An opaque pagination token indicating where to continue the listing of
inference schedulers.
ListInferenceSchedulers, listInferenceSchedulers_status - Specifies the current status of the inference schedulers to list.
data ListInferenceSchedulersResponse Source #
See: newListInferenceSchedulersResponse smart constructor.
Constructors
| ListInferenceSchedulersResponse' (Maybe [InferenceSchedulerSummary]) (Maybe Text) Int |
Instances
newListInferenceSchedulersResponse Source #
Create a value of ListInferenceSchedulersResponse 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:inferenceSchedulerSummaries:ListInferenceSchedulersResponse', listInferenceSchedulersResponse_inferenceSchedulerSummaries - Provides information about the specified inference scheduler, including
data upload frequency, model name and ARN, and status.
ListInferenceSchedulers, listInferenceSchedulersResponse_nextToken - An opaque pagination token indicating where to continue the listing of
inference schedulers.
$sel:httpStatus:ListInferenceSchedulersResponse', listInferenceSchedulersResponse_httpStatus - The response's http status code.
ListLabelGroups
data ListLabelGroups Source #
See: newListLabelGroups smart constructor.
Instances
newListLabelGroups :: ListLabelGroups Source #
Create a value of ListLabelGroups 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:labelGroupNameBeginsWith:ListLabelGroups', listLabelGroups_labelGroupNameBeginsWith - The beginning of the name of the label groups to be listed.
$sel:maxResults:ListLabelGroups', listLabelGroups_maxResults - Specifies the maximum number of label groups to list.
ListLabelGroups, listLabelGroups_nextToken - An opaque pagination token indicating where to continue the listing of
label groups.
data ListLabelGroupsResponse Source #
See: newListLabelGroupsResponse smart constructor.
Constructors
| ListLabelGroupsResponse' (Maybe [LabelGroupSummary]) (Maybe Text) Int |
Instances
newListLabelGroupsResponse Source #
Create a value of ListLabelGroupsResponse 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:labelGroupSummaries:ListLabelGroupsResponse', listLabelGroupsResponse_labelGroupSummaries - A summary of the label groups.
ListLabelGroups, listLabelGroupsResponse_nextToken - An opaque pagination token indicating where to continue the listing of
label groups.
$sel:httpStatus:ListLabelGroupsResponse', listLabelGroupsResponse_httpStatus - The response's http status code.
ListLabels
data ListLabels Source #
See: newListLabels smart constructor.
Constructors
| ListLabels' (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe Natural) (Maybe Text) Text |
Instances
Arguments
| :: Text | |
| -> ListLabels |
Create a value of ListLabels 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:
ListLabels, listLabels_equipment - Lists the labels that pertain to a particular piece of equipment.
ListLabels, listLabels_faultCode - Returns labels with a particular fault code.
$sel:intervalEndTime:ListLabels', listLabels_intervalEndTime - Returns all labels with a start time earlier than the end time given.
$sel:intervalStartTime:ListLabels', listLabels_intervalStartTime - Returns all the labels with a end time equal to or later than the start
time given.
$sel:maxResults:ListLabels', listLabels_maxResults - Specifies the maximum number of labels to list.
ListLabels, listLabels_nextToken - An opaque pagination token indicating where to continue the listing of
label groups.
ListLabels, listLabels_labelGroupName - Retruns the name of the label group.
data ListLabelsResponse Source #
See: newListLabelsResponse smart constructor.
Constructors
| ListLabelsResponse' (Maybe [LabelSummary]) (Maybe Text) Int |
Instances
newListLabelsResponse Source #
Arguments
| :: Int | |
| -> ListLabelsResponse |
Create a value of ListLabelsResponse 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:labelSummaries:ListLabelsResponse', listLabelsResponse_labelSummaries - A summary of the items in the label group.
ListLabels, listLabelsResponse_nextToken - An opaque pagination token indicating where to continue the listing of
datasets.
$sel:httpStatus:ListLabelsResponse', listLabelsResponse_httpStatus - The response's http status code.
ListModels
data ListModels Source #
See: newListModels smart constructor.
Instances
newListModels :: ListModels Source #
Create a value of ListModels 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:datasetNameBeginsWith:ListModels', listModels_datasetNameBeginsWith - The beginning of the name of the dataset of the ML models to be listed.
$sel:maxResults:ListModels', listModels_maxResults - Specifies the maximum number of ML models to list.
$sel:modelNameBeginsWith:ListModels', listModels_modelNameBeginsWith - The beginning of the name of the ML models being listed.
ListModels, listModels_nextToken - An opaque pagination token indicating where to continue the listing of
ML models.
ListModels, listModels_status - The status of the ML model.
data ListModelsResponse Source #
See: newListModelsResponse smart constructor.
Constructors
| ListModelsResponse' (Maybe [ModelSummary]) (Maybe Text) Int |
Instances
newListModelsResponse Source #
Arguments
| :: Int | |
| -> ListModelsResponse |
Create a value of ListModelsResponse 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:modelSummaries:ListModelsResponse', listModelsResponse_modelSummaries - Provides information on the specified model, including created time,
model and dataset ARNs, and status.
ListModels, listModelsResponse_nextToken - An opaque pagination token indicating where to continue the listing of
ML models.
$sel:httpStatus:ListModelsResponse', listModelsResponse_httpStatus - The response's http status code.
ListSensorStatistics
data ListSensorStatistics Source #
See: newListSensorStatistics smart constructor.
Instances
newListSensorStatistics Source #
Arguments
| :: Text | |
| -> ListSensorStatistics |
Create a value of ListSensorStatistics 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:ingestionJobId:ListSensorStatistics', listSensorStatistics_ingestionJobId - The ingestion job id associated with the list of Sensor Statistics. To
get sensor statistics for a particular ingestion job id, both dataset
name and ingestion job id must be submitted as inputs.
$sel:maxResults:ListSensorStatistics', listSensorStatistics_maxResults - Specifies the maximum number of sensors for which to retrieve
statistics.
ListSensorStatistics, listSensorStatistics_nextToken - An opaque pagination token indicating where to continue the listing of
sensor statistics.
ListSensorStatistics, listSensorStatistics_datasetName - The name of the dataset associated with the list of Sensor Statistics.
data ListSensorStatisticsResponse Source #
See: newListSensorStatisticsResponse smart constructor.
Constructors
| ListSensorStatisticsResponse' (Maybe Text) (Maybe [SensorStatisticsSummary]) Int |
Instances
newListSensorStatisticsResponse Source #
Create a value of ListSensorStatisticsResponse 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:
ListSensorStatistics, listSensorStatisticsResponse_nextToken - An opaque pagination token indicating where to continue the listing of
sensor statistics.
$sel:sensorStatisticsSummaries:ListSensorStatisticsResponse', listSensorStatisticsResponse_sensorStatisticsSummaries - Provides ingestion-based statistics regarding the specified sensor with
respect to various validation types, such as whether data exists, the
number and percentage of missing values, and the number and percentage
of duplicate timestamps.
$sel:httpStatus:ListSensorStatisticsResponse', listSensorStatisticsResponse_httpStatus - The response's http status code.
ListTagsForResource
data ListTagsForResource Source #
See: newListTagsForResource smart constructor.
Constructors
| ListTagsForResource' Text |
Instances
newListTagsForResource Source #
Arguments
| :: Text | |
| -> ListTagsForResource |
Create a value of ListTagsForResource 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:resourceArn:ListTagsForResource', listTagsForResource_resourceArn - The Amazon Resource Name (ARN) of the resource (such as the dataset or
model) that is the focus of the ListTagsForResource operation.
data ListTagsForResourceResponse Source #
See: newListTagsForResourceResponse smart constructor.
Constructors
| ListTagsForResourceResponse' (Maybe [Tag]) Int |
Instances
newListTagsForResourceResponse Source #
Create a value of ListTagsForResourceResponse 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:tags:ListTagsForResourceResponse', listTagsForResourceResponse_tags - Any tags associated with the resource.
$sel:httpStatus:ListTagsForResourceResponse', listTagsForResourceResponse_httpStatus - The response's http status code.
StartDataIngestionJob
data StartDataIngestionJob Source #
See: newStartDataIngestionJob smart constructor.
Constructors
| StartDataIngestionJob' Text IngestionInputConfiguration Text Text |
Instances
newStartDataIngestionJob Source #
Arguments
| :: Text | |
| -> IngestionInputConfiguration | |
| -> Text | |
| -> Text | |
| -> StartDataIngestionJob |
Create a value of StartDataIngestionJob 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:
StartDataIngestionJob, startDataIngestionJob_datasetName - The name of the dataset being used by the data ingestion job.
StartDataIngestionJob, startDataIngestionJob_ingestionInputConfiguration - Specifies information for the input data for the data ingestion job,
including dataset S3 location.
$sel:roleArn:StartDataIngestionJob', startDataIngestionJob_roleArn - The Amazon Resource Name (ARN) of a role with permission to access the
data source for the data ingestion job.
$sel:clientToken:StartDataIngestionJob', startDataIngestionJob_clientToken - A unique identifier for the request. If you do not set the client
request token, Amazon Lookout for Equipment generates one.
data StartDataIngestionJobResponse Source #
See: newStartDataIngestionJobResponse smart constructor.
Constructors
| StartDataIngestionJobResponse' (Maybe Text) (Maybe IngestionJobStatus) Int |
Instances
newStartDataIngestionJobResponse Source #
Create a value of StartDataIngestionJobResponse 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:
StartDataIngestionJobResponse, startDataIngestionJobResponse_jobId - Indicates the job ID of the data ingestion job.
StartDataIngestionJobResponse, startDataIngestionJobResponse_status - Indicates the status of the StartDataIngestionJob operation.
$sel:httpStatus:StartDataIngestionJobResponse', startDataIngestionJobResponse_httpStatus - The response's http status code.
StartInferenceScheduler
data StartInferenceScheduler Source #
See: newStartInferenceScheduler smart constructor.
Constructors
| StartInferenceScheduler' Text |
Instances
newStartInferenceScheduler Source #
Arguments
| :: Text | |
| -> StartInferenceScheduler |
Create a value of StartInferenceScheduler 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:
StartInferenceScheduler, startInferenceScheduler_inferenceSchedulerName - The name of the inference scheduler to be started.
data StartInferenceSchedulerResponse Source #
See: newStartInferenceSchedulerResponse smart constructor.
Constructors
| StartInferenceSchedulerResponse' (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe InferenceSchedulerStatus) Int |
Instances
newStartInferenceSchedulerResponse Source #
Create a value of StartInferenceSchedulerResponse 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:
StartInferenceSchedulerResponse, startInferenceSchedulerResponse_inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being started.
StartInferenceScheduler, startInferenceSchedulerResponse_inferenceSchedulerName - The name of the inference scheduler being started.
StartInferenceSchedulerResponse, startInferenceSchedulerResponse_modelArn - The Amazon Resource Name (ARN) of the ML model being used by the
inference scheduler.
StartInferenceSchedulerResponse, startInferenceSchedulerResponse_modelName - The name of the ML model being used by the inference scheduler.
StartInferenceSchedulerResponse, startInferenceSchedulerResponse_status - Indicates the status of the inference scheduler.
$sel:httpStatus:StartInferenceSchedulerResponse', startInferenceSchedulerResponse_httpStatus - The response's http status code.
StopInferenceScheduler
data StopInferenceScheduler Source #
See: newStopInferenceScheduler smart constructor.
Constructors
| StopInferenceScheduler' Text |
Instances
newStopInferenceScheduler Source #
Arguments
| :: Text | |
| -> StopInferenceScheduler |
Create a value of StopInferenceScheduler 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:
StopInferenceScheduler, stopInferenceScheduler_inferenceSchedulerName - The name of the inference scheduler to be stopped.
data StopInferenceSchedulerResponse Source #
See: newStopInferenceSchedulerResponse smart constructor.
Constructors
| StopInferenceSchedulerResponse' (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe InferenceSchedulerStatus) Int |
Instances
newStopInferenceSchedulerResponse Source #
Create a value of StopInferenceSchedulerResponse 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:
StopInferenceSchedulerResponse, stopInferenceSchedulerResponse_inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference schedule being stopped.
StopInferenceScheduler, stopInferenceSchedulerResponse_inferenceSchedulerName - The name of the inference scheduler being stopped.
StopInferenceSchedulerResponse, stopInferenceSchedulerResponse_modelArn - The Amazon Resource Name (ARN) of the ML model used by the inference
scheduler being stopped.
StopInferenceSchedulerResponse, stopInferenceSchedulerResponse_modelName - The name of the ML model used by the inference scheduler being stopped.
StopInferenceSchedulerResponse, stopInferenceSchedulerResponse_status - Indicates the status of the inference scheduler.
$sel:httpStatus:StopInferenceSchedulerResponse', stopInferenceSchedulerResponse_httpStatus - The response's http status code.
TagResource
data TagResource Source #
See: newTagResource smart constructor.
Constructors
| TagResource' Text [Tag] |
Instances
Arguments
| :: Text | |
| -> TagResource |
Create a value of TagResource 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:resourceArn:TagResource', tagResource_resourceArn - The Amazon Resource Name (ARN) of the specific resource to which the tag
should be associated.
$sel:tags:TagResource', tagResource_tags - The tag or tags to be associated with a specific resource. Both the tag
key and value are specified.
data TagResourceResponse Source #
See: newTagResourceResponse smart constructor.
Constructors
| TagResourceResponse' Int |
Instances
newTagResourceResponse Source #
Arguments
| :: Int | |
| -> TagResourceResponse |
Create a value of TagResourceResponse 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:httpStatus:TagResourceResponse', tagResourceResponse_httpStatus - The response's http status code.
UntagResource
data UntagResource Source #
See: newUntagResource smart constructor.
Constructors
| UntagResource' Text [Text] |
Instances
Arguments
| :: Text | |
| -> UntagResource |
Create a value of UntagResource 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:resourceArn:UntagResource', untagResource_resourceArn - The Amazon Resource Name (ARN) of the resource to which the tag is
currently associated.
$sel:tagKeys:UntagResource', untagResource_tagKeys - Specifies the key of the tag to be removed from a specified resource.
data UntagResourceResponse Source #
See: newUntagResourceResponse smart constructor.
Constructors
| UntagResourceResponse' Int |
Instances
newUntagResourceResponse Source #
Create a value of UntagResourceResponse 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:httpStatus:UntagResourceResponse', untagResourceResponse_httpStatus - The response's http status code.
UpdateInferenceScheduler
data UpdateInferenceScheduler Source #
See: newUpdateInferenceScheduler smart constructor.
Constructors
| UpdateInferenceScheduler' (Maybe Natural) (Maybe InferenceInputConfiguration) (Maybe InferenceOutputConfiguration) (Maybe DataUploadFrequency) (Maybe Text) Text |
Instances
newUpdateInferenceScheduler Source #
Arguments
| :: Text | |
| -> UpdateInferenceScheduler |
Create a value of UpdateInferenceScheduler 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:
UpdateInferenceScheduler, updateInferenceScheduler_dataDelayOffsetInMinutes - A period of time (in minutes) by which inference on the data is delayed
after the data starts. For instance, if you select an offset delay time
of five minutes, inference will not begin on the data until the first
data measurement after the five minute mark. For example, if five
minutes is selected, the inference scheduler will wake up at the
configured frequency with the additional five minute delay time to check
the customer S3 bucket. The customer can upload data at the same
frequency and they don't need to stop and restart the scheduler when
uploading new data.
UpdateInferenceScheduler, updateInferenceScheduler_dataInputConfiguration - Specifies information for the input data for the inference scheduler,
including delimiter, format, and dataset location.
UpdateInferenceScheduler, updateInferenceScheduler_dataOutputConfiguration - Specifies information for the output results from the inference
scheduler, including the output S3 location.
UpdateInferenceScheduler, updateInferenceScheduler_dataUploadFrequency - How often data is uploaded to the source S3 bucket for the input data.
The value chosen is the length of time between data uploads. For
instance, if you select 5 minutes, Amazon Lookout for Equipment will
upload the real-time data to the source bucket once every 5 minutes.
This frequency also determines how often Amazon Lookout for Equipment
starts a scheduled inference on your data. In this example, it starts
once every 5 minutes.
$sel:roleArn:UpdateInferenceScheduler', updateInferenceScheduler_roleArn - The Amazon Resource Name (ARN) of a role with permission to access the
data source for the inference scheduler.
UpdateInferenceScheduler, updateInferenceScheduler_inferenceSchedulerName - The name of the inference scheduler to be updated.
data UpdateInferenceSchedulerResponse Source #
See: newUpdateInferenceSchedulerResponse smart constructor.
Constructors
| UpdateInferenceSchedulerResponse' | |
Instances
| Generic UpdateInferenceSchedulerResponse Source # | |
Defined in Amazonka.LookoutEquipment.UpdateInferenceScheduler Associated Types type Rep UpdateInferenceSchedulerResponse :: Type -> Type # | |
| Read UpdateInferenceSchedulerResponse Source # | |
| Show UpdateInferenceSchedulerResponse Source # | |
Defined in Amazonka.LookoutEquipment.UpdateInferenceScheduler Methods showsPrec :: Int -> UpdateInferenceSchedulerResponse -> ShowS # | |
| NFData UpdateInferenceSchedulerResponse Source # | |
Defined in Amazonka.LookoutEquipment.UpdateInferenceScheduler Methods rnf :: UpdateInferenceSchedulerResponse -> () # | |
| Eq UpdateInferenceSchedulerResponse Source # | |
| type Rep UpdateInferenceSchedulerResponse Source # | |
newUpdateInferenceSchedulerResponse :: UpdateInferenceSchedulerResponse Source #
Create a value of UpdateInferenceSchedulerResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
UpdateLabelGroup
data UpdateLabelGroup Source #
See: newUpdateLabelGroup smart constructor.
Constructors
| UpdateLabelGroup' (Maybe [Text]) Text |
Instances
Arguments
| :: Text | |
| -> UpdateLabelGroup |
Create a value of UpdateLabelGroup 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:faultCodes:UpdateLabelGroup', updateLabelGroup_faultCodes - Updates the code indicating the type of anomaly associated with the
label.
Data in this field will be retained for service usage. Follow best practices for the security of your data.
UpdateLabelGroup, updateLabelGroup_labelGroupName - The name of the label group to be updated.
data UpdateLabelGroupResponse Source #
See: newUpdateLabelGroupResponse smart constructor.
Constructors
| UpdateLabelGroupResponse' | |
Instances
newUpdateLabelGroupResponse :: UpdateLabelGroupResponse Source #
Create a value of UpdateLabelGroupResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
Types
DataUploadFrequency
newtype DataUploadFrequency Source #
Constructors
| DataUploadFrequency' | |
Fields | |
Bundled Patterns
| pattern DataUploadFrequency_PT10M :: DataUploadFrequency | |
| pattern DataUploadFrequency_PT15M :: DataUploadFrequency | |
| pattern DataUploadFrequency_PT1H :: DataUploadFrequency | |
| pattern DataUploadFrequency_PT30M :: DataUploadFrequency | |
| pattern DataUploadFrequency_PT5M :: DataUploadFrequency |
Instances
DatasetStatus
newtype DatasetStatus Source #
Constructors
| DatasetStatus' | |
Fields | |
Bundled Patterns
| pattern DatasetStatus_ACTIVE :: DatasetStatus | |
| pattern DatasetStatus_CREATED :: DatasetStatus | |
| pattern DatasetStatus_INGESTION_IN_PROGRESS :: DatasetStatus |
Instances
InferenceExecutionStatus
newtype InferenceExecutionStatus Source #
Constructors
| InferenceExecutionStatus' | |
Fields | |
Bundled Patterns
Instances
InferenceSchedulerStatus
newtype InferenceSchedulerStatus Source #
Constructors
| InferenceSchedulerStatus' | |
Fields | |
Bundled Patterns
Instances
IngestionJobStatus
newtype IngestionJobStatus Source #
Constructors
| IngestionJobStatus' | |
Fields | |
Bundled Patterns
| pattern IngestionJobStatus_FAILED :: IngestionJobStatus | |
| pattern IngestionJobStatus_IN_PROGRESS :: IngestionJobStatus | |
| pattern IngestionJobStatus_SUCCESS :: IngestionJobStatus |
Instances
LabelRating
newtype LabelRating Source #
Constructors
| LabelRating' | |
Fields | |
Bundled Patterns
| pattern LabelRating_ANOMALY :: LabelRating | |
| pattern LabelRating_NEUTRAL :: LabelRating | |
| pattern LabelRating_NO_ANOMALY :: LabelRating |
Instances
LatestInferenceResult
newtype LatestInferenceResult Source #
Constructors
| LatestInferenceResult' | |
Fields | |
Bundled Patterns
| pattern LatestInferenceResult_ANOMALOUS :: LatestInferenceResult | |
| pattern LatestInferenceResult_NORMAL :: LatestInferenceResult |
Instances
ModelStatus
newtype ModelStatus Source #
Constructors
| ModelStatus' | |
Fields | |
Bundled Patterns
| pattern ModelStatus_FAILED :: ModelStatus | |
| pattern ModelStatus_IN_PROGRESS :: ModelStatus | |
| pattern ModelStatus_SUCCESS :: ModelStatus |
Instances
Monotonicity
newtype Monotonicity Source #
Constructors
| Monotonicity' | |
Fields | |
Bundled Patterns
| pattern Monotonicity_DECREASING :: Monotonicity | |
| pattern Monotonicity_INCREASING :: Monotonicity | |
| pattern Monotonicity_STATIC :: Monotonicity |
Instances
StatisticalIssueStatus
newtype StatisticalIssueStatus Source #
Constructors
| StatisticalIssueStatus' | |
Fields | |
Bundled Patterns
| pattern StatisticalIssueStatus_NO_ISSUE_DETECTED :: StatisticalIssueStatus | |
| pattern StatisticalIssueStatus_POTENTIAL_ISSUE_DETECTED :: StatisticalIssueStatus |
Instances
TargetSamplingRate
newtype TargetSamplingRate Source #
Constructors
| TargetSamplingRate' | |
Fields | |
Bundled Patterns
| pattern TargetSamplingRate_PT10M :: TargetSamplingRate | |
| pattern TargetSamplingRate_PT10S :: TargetSamplingRate | |
| pattern TargetSamplingRate_PT15M :: TargetSamplingRate | |
| pattern TargetSamplingRate_PT15S :: TargetSamplingRate | |
| pattern TargetSamplingRate_PT1H :: TargetSamplingRate | |
| pattern TargetSamplingRate_PT1M :: TargetSamplingRate | |
| pattern TargetSamplingRate_PT1S :: TargetSamplingRate | |
| pattern TargetSamplingRate_PT30M :: TargetSamplingRate | |
| pattern TargetSamplingRate_PT30S :: TargetSamplingRate | |
| pattern TargetSamplingRate_PT5M :: TargetSamplingRate | |
| pattern TargetSamplingRate_PT5S :: TargetSamplingRate |
Instances
CategoricalValues
data CategoricalValues Source #
Entity that comprises information on categorical values in data.
See: newCategoricalValues smart constructor.
Constructors
| CategoricalValues' (Maybe Int) StatisticalIssueStatus |
Instances
Create a value of CategoricalValues 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:numberOfCategory:CategoricalValues', categoricalValues_numberOfCategory - Indicates the number of categories in the data.
$sel:status:CategoricalValues', categoricalValues_status - Indicates whether there is a potential data issue related to categorical
values.
CountPercent
data CountPercent Source #
Entity that comprises information of count and percentage.
See: newCountPercent smart constructor.
Constructors
| CountPercent' Int Double |
Instances
Create a value of CountPercent 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:count:CountPercent', countPercent_count - Indicates the count of occurences of the given statistic.
$sel:percentage:CountPercent', countPercent_percentage - Indicates the percentage of occurances of the given statistic.
DataIngestionJobSummary
data DataIngestionJobSummary Source #
Provides information about a specified data ingestion job, including dataset information, data ingestion configuration, and status.
See: newDataIngestionJobSummary smart constructor.
Constructors
| DataIngestionJobSummary' (Maybe Text) (Maybe Text) (Maybe IngestionInputConfiguration) (Maybe Text) (Maybe IngestionJobStatus) |
Instances
newDataIngestionJobSummary :: DataIngestionJobSummary Source #
Create a value of DataIngestionJobSummary 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:datasetArn:DataIngestionJobSummary', dataIngestionJobSummary_datasetArn - The Amazon Resource Name (ARN) of the dataset used in the data ingestion
job.
$sel:datasetName:DataIngestionJobSummary', dataIngestionJobSummary_datasetName - The name of the dataset used for the data ingestion job.
$sel:ingestionInputConfiguration:DataIngestionJobSummary', dataIngestionJobSummary_ingestionInputConfiguration - Specifies information for the input data for the data inference job,
including data Amazon S3 location parameters.
$sel:jobId:DataIngestionJobSummary', dataIngestionJobSummary_jobId - Indicates the job ID of the data ingestion job.
$sel:status:DataIngestionJobSummary', dataIngestionJobSummary_status - Indicates the status of the data ingestion job.
DataPreProcessingConfiguration
data DataPreProcessingConfiguration Source #
The configuration is the TargetSamplingRate, which is the sampling
rate of the data after post processing by Amazon Lookout for Equipment.
For example, if you provide data that has been collected at a 1 second
level and you want the system to resample the data at a 1 minute rate
before training, the TargetSamplingRate is 1 minute.
When providing a value for the TargetSamplingRate, you must attach the
prefix "PT" to the rate you want. The value for a 1 second rate is
therefore PT1S, the value for a 15 minute rate is PT15M, and the
value for a 1 hour rate is PT1H
See: newDataPreProcessingConfiguration smart constructor.
Constructors
| DataPreProcessingConfiguration' (Maybe TargetSamplingRate) |
Instances
newDataPreProcessingConfiguration :: DataPreProcessingConfiguration Source #
Create a value of DataPreProcessingConfiguration 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:targetSamplingRate:DataPreProcessingConfiguration', dataPreProcessingConfiguration_targetSamplingRate - The sampling rate of the data after post processing by Amazon Lookout
for Equipment. For example, if you provide data that has been collected
at a 1 second level and you want the system to resample the data at a 1
minute rate before training, the TargetSamplingRate is 1 minute.
When providing a value for the TargetSamplingRate, you must attach the
prefix "PT" to the rate you want. The value for a 1 second rate is
therefore PT1S, the value for a 15 minute rate is PT15M, and the
value for a 1 hour rate is PT1H
DataQualitySummary
data DataQualitySummary Source #
DataQualitySummary gives aggregated statistics over all the sensors about a completed ingestion job. It primarily gives more information about statistics over different incorrect data like MissingCompleteSensorData, MissingSensorData, UnsupportedDateFormats, InsufficientSensorData, DuplicateTimeStamps.
See: newDataQualitySummary smart constructor.
Constructors
| DataQualitySummary' InsufficientSensorData MissingSensorData InvalidSensorData UnsupportedTimestamps DuplicateTimestamps |
Instances
newDataQualitySummary Source #
Arguments
| :: InsufficientSensorData | |
| -> MissingSensorData | |
| -> InvalidSensorData | |
| -> UnsupportedTimestamps | |
| -> DuplicateTimestamps | |
| -> DataQualitySummary |
Create a value of DataQualitySummary 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:insufficientSensorData:DataQualitySummary', dataQualitySummary_insufficientSensorData - Parameter that gives information about insufficient data for sensors in
the dataset. This includes information about those sensors that have
complete data missing and those with a short date range.
$sel:missingSensorData:DataQualitySummary', dataQualitySummary_missingSensorData - Parameter that gives information about data that is missing over all the
sensors in the input data.
$sel:invalidSensorData:DataQualitySummary', dataQualitySummary_invalidSensorData - Parameter that gives information about data that is invalid over all the
sensors in the input data.
$sel:unsupportedTimestamps:DataQualitySummary', dataQualitySummary_unsupportedTimestamps - Parameter that gives information about unsupported timestamps in the
input data.
$sel:duplicateTimestamps:DataQualitySummary', dataQualitySummary_duplicateTimestamps - Parameter that gives information about duplicate timestamps in the input
data.
DatasetSchema
data DatasetSchema Source #
Provides information about the data schema used with the given dataset.
See: newDatasetSchema smart constructor.
Constructors
| DatasetSchema' (Maybe Text) |
Instances
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:inlineDataSchema:DatasetSchema', datasetSchema_inlineDataSchema -
DatasetSummary
data DatasetSummary Source #
Contains information about the specific data set, including name, ARN, and status.
See: newDatasetSummary smart constructor.
Constructors
| DatasetSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe DatasetStatus) |
Instances
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:createdAt:DatasetSummary', datasetSummary_createdAt - The time at which the dataset was created in Amazon Lookout for
Equipment.
$sel:datasetArn:DatasetSummary', datasetSummary_datasetArn - The Amazon Resource Name (ARN) of the specified dataset.
$sel:datasetName:DatasetSummary', datasetSummary_datasetName - The name of the dataset.
$sel:status:DatasetSummary', datasetSummary_status - Indicates the status of the dataset.
DuplicateTimestamps
data DuplicateTimestamps Source #
Entity that comprises information abount duplicate timestamps in the dataset.
See: newDuplicateTimestamps smart constructor.
Constructors
| DuplicateTimestamps' Int |
Instances
newDuplicateTimestamps Source #
Create a value of DuplicateTimestamps 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:totalNumberOfDuplicateTimestamps:DuplicateTimestamps', duplicateTimestamps_totalNumberOfDuplicateTimestamps - Indicates the total number of duplicate timestamps.
InferenceEventSummary
data InferenceEventSummary Source #
Contains information about the specific inference event, including start and end time, diagnostics information, event duration and so on.
See: newInferenceEventSummary smart constructor.
Constructors
| InferenceEventSummary' (Maybe Text) (Maybe Natural) (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) |
Instances
newInferenceEventSummary :: InferenceEventSummary Source #
Create a value of InferenceEventSummary 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:diagnostics:InferenceEventSummary', inferenceEventSummary_diagnostics - An array which specifies the names and values of all sensors
contributing to an inference event.
$sel:eventDurationInSeconds:InferenceEventSummary', inferenceEventSummary_eventDurationInSeconds - Indicates the size of an inference event in seconds.
$sel:eventEndTime:InferenceEventSummary', inferenceEventSummary_eventEndTime - Indicates the ending time of an inference event.
$sel:eventStartTime:InferenceEventSummary', inferenceEventSummary_eventStartTime - Indicates the starting time of an inference event.
$sel:inferenceSchedulerArn:InferenceEventSummary', inferenceEventSummary_inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being used for
the inference event.
$sel:inferenceSchedulerName:InferenceEventSummary', inferenceEventSummary_inferenceSchedulerName - The name of the inference scheduler being used for the inference events.
InferenceExecutionSummary
data InferenceExecutionSummary Source #
Contains information about the specific inference execution, including input and output data configuration, inference scheduling information, status, and so on.
See: newInferenceExecutionSummary smart constructor.
Constructors
Instances
newInferenceExecutionSummary :: InferenceExecutionSummary Source #
Create a value of InferenceExecutionSummary 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:customerResultObject:InferenceExecutionSummary', inferenceExecutionSummary_customerResultObject -
$sel:dataEndTime:InferenceExecutionSummary', inferenceExecutionSummary_dataEndTime - Indicates the time reference in the dataset at which the inference
execution stopped.
$sel:dataInputConfiguration:InferenceExecutionSummary', inferenceExecutionSummary_dataInputConfiguration - Specifies configuration information for the input data for the inference
scheduler, including delimiter, format, and dataset location.
$sel:dataOutputConfiguration:InferenceExecutionSummary', inferenceExecutionSummary_dataOutputConfiguration - Specifies configuration information for the output results from for the
inference execution, including the output Amazon S3 location.
$sel:dataStartTime:InferenceExecutionSummary', inferenceExecutionSummary_dataStartTime - Indicates the time reference in the dataset at which the inference
execution began.
$sel:failedReason:InferenceExecutionSummary', inferenceExecutionSummary_failedReason - Specifies the reason for failure when an inference execution has failed.
$sel:inferenceSchedulerArn:InferenceExecutionSummary', inferenceExecutionSummary_inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being used for
the inference execution.
$sel:inferenceSchedulerName:InferenceExecutionSummary', inferenceExecutionSummary_inferenceSchedulerName - The name of the inference scheduler being used for the inference
execution.
$sel:modelArn:InferenceExecutionSummary', inferenceExecutionSummary_modelArn - The Amazon Resource Name (ARN) of the ML model used for the inference
execution.
$sel:modelName:InferenceExecutionSummary', inferenceExecutionSummary_modelName - The name of the ML model being used for the inference execution.
$sel:scheduledStartTime:InferenceExecutionSummary', inferenceExecutionSummary_scheduledStartTime - Indicates the start time at which the inference scheduler began the
specific inference execution.
$sel:status:InferenceExecutionSummary', inferenceExecutionSummary_status - Indicates the status of the inference execution.
InferenceInputConfiguration
data InferenceInputConfiguration Source #
Specifies configuration information for the input data for the inference, including Amazon S3 location of input data..
See: newInferenceInputConfiguration smart constructor.
Constructors
| InferenceInputConfiguration' (Maybe InferenceInputNameConfiguration) (Maybe Text) (Maybe InferenceS3InputConfiguration) |
Instances
newInferenceInputConfiguration :: InferenceInputConfiguration Source #
Create a value of InferenceInputConfiguration 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:inferenceInputNameConfiguration:InferenceInputConfiguration', inferenceInputConfiguration_inferenceInputNameConfiguration - Specifies configuration information for the input data for the
inference, including timestamp format and delimiter.
$sel:inputTimeZoneOffset:InferenceInputConfiguration', inferenceInputConfiguration_inputTimeZoneOffset - Indicates the difference between your time zone and Coordinated
Universal Time (UTC).
$sel:s3InputConfiguration:InferenceInputConfiguration', inferenceInputConfiguration_s3InputConfiguration - Specifies configuration information for the input data for the
inference, including Amazon S3 location of input data.
InferenceInputNameConfiguration
data InferenceInputNameConfiguration Source #
Specifies configuration information for the input data for the inference, including timestamp format and delimiter.
See: newInferenceInputNameConfiguration smart constructor.
Constructors
| InferenceInputNameConfiguration' (Maybe Text) (Maybe Text) |
Instances
newInferenceInputNameConfiguration :: InferenceInputNameConfiguration Source #
Create a value of InferenceInputNameConfiguration 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:componentTimestampDelimiter:InferenceInputNameConfiguration', inferenceInputNameConfiguration_componentTimestampDelimiter - Indicates the delimiter character used between items in the data.
$sel:timestampFormat:InferenceInputNameConfiguration', inferenceInputNameConfiguration_timestampFormat - The format of the timestamp, whether Epoch time, or standard, with or
without hyphens (-).
InferenceOutputConfiguration
data InferenceOutputConfiguration Source #
Specifies configuration information for the output results from for the inference, including KMS key ID and output S3 location.
See: newInferenceOutputConfiguration smart constructor.
Constructors
| InferenceOutputConfiguration' (Maybe Text) InferenceS3OutputConfiguration |
Instances
newInferenceOutputConfiguration Source #
Arguments
| :: InferenceS3OutputConfiguration | |
| -> InferenceOutputConfiguration |
Create a value of InferenceOutputConfiguration 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:kmsKeyId:InferenceOutputConfiguration', inferenceOutputConfiguration_kmsKeyId - The ID number for the AWS KMS key used to encrypt the inference output.
$sel:s3OutputConfiguration:InferenceOutputConfiguration', inferenceOutputConfiguration_s3OutputConfiguration - Specifies configuration information for the output results from for the
inference, output S3 location.
InferenceS3InputConfiguration
data InferenceS3InputConfiguration Source #
Specifies configuration information for the input data for the inference, including input data S3 location.
See: newInferenceS3InputConfiguration smart constructor.
Constructors
| InferenceS3InputConfiguration' (Maybe Text) Text |
Instances
newInferenceS3InputConfiguration Source #
Create a value of InferenceS3InputConfiguration 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:prefix:InferenceS3InputConfiguration', inferenceS3InputConfiguration_prefix - The prefix for the S3 bucket used for the input data for the inference.
$sel:bucket:InferenceS3InputConfiguration', inferenceS3InputConfiguration_bucket - The bucket containing the input dataset for the inference.
InferenceS3OutputConfiguration
data InferenceS3OutputConfiguration Source #
Specifies configuration information for the output results from the inference, including output S3 location.
See: newInferenceS3OutputConfiguration smart constructor.
Constructors
| InferenceS3OutputConfiguration' (Maybe Text) Text |
Instances
newInferenceS3OutputConfiguration Source #
Create a value of InferenceS3OutputConfiguration 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:prefix:InferenceS3OutputConfiguration', inferenceS3OutputConfiguration_prefix - The prefix for the S3 bucket used for the output results from the
inference.
$sel:bucket:InferenceS3OutputConfiguration', inferenceS3OutputConfiguration_bucket - The bucket containing the output results from the inference
InferenceSchedulerSummary
data InferenceSchedulerSummary Source #
Contains information about the specific inference scheduler, including data delay offset, model name and ARN, status, and so on.
See: newInferenceSchedulerSummary smart constructor.
Constructors
| InferenceSchedulerSummary' (Maybe Natural) (Maybe DataUploadFrequency) (Maybe Text) (Maybe Text) (Maybe LatestInferenceResult) (Maybe Text) (Maybe Text) (Maybe InferenceSchedulerStatus) |
Instances
newInferenceSchedulerSummary :: InferenceSchedulerSummary Source #
Create a value of InferenceSchedulerSummary 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:dataDelayOffsetInMinutes:InferenceSchedulerSummary', inferenceSchedulerSummary_dataDelayOffsetInMinutes - A period of time (in minutes) by which inference on the data is delayed
after the data starts. For instance, if an offset delay time of five
minutes was selected, inference will not begin on the data until the
first data measurement after the five minute mark. For example, if five
minutes is selected, the inference scheduler will wake up at the
configured frequency with the additional five minute delay time to check
the customer S3 bucket. The customer can upload data at the same
frequency and they don't need to stop and restart the scheduler when
uploading new data.
$sel:dataUploadFrequency:InferenceSchedulerSummary', inferenceSchedulerSummary_dataUploadFrequency - How often data is uploaded to the source S3 bucket for the input data.
This value is the length of time between data uploads. For instance, if
you select 5 minutes, Amazon Lookout for Equipment will upload the
real-time data to the source bucket once every 5 minutes. This frequency
also determines how often Amazon Lookout for Equipment starts a
scheduled inference on your data. In this example, it starts once every
5 minutes.
$sel:inferenceSchedulerArn:InferenceSchedulerSummary', inferenceSchedulerSummary_inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler.
$sel:inferenceSchedulerName:InferenceSchedulerSummary', inferenceSchedulerSummary_inferenceSchedulerName - The name of the inference scheduler.
$sel:latestInferenceResult:InferenceSchedulerSummary', inferenceSchedulerSummary_latestInferenceResult - Indicates whether the latest execution for the inference scheduler was
Anomalous (anomalous events found) or Normal (no anomalous events
found).
$sel:modelArn:InferenceSchedulerSummary', inferenceSchedulerSummary_modelArn - The Amazon Resource Name (ARN) of the ML model used by the inference
scheduler.
$sel:modelName:InferenceSchedulerSummary', inferenceSchedulerSummary_modelName - The name of the ML model used for the inference scheduler.
$sel:status:InferenceSchedulerSummary', inferenceSchedulerSummary_status - Indicates the status of the inference scheduler.
IngestedFilesSummary
data IngestedFilesSummary Source #
Gives statistics about how many files have been ingested, and which files have not been ingested, for a particular ingestion job.
See: newIngestedFilesSummary smart constructor.
Constructors
| IngestedFilesSummary' (Maybe [S3Object]) Int Int |
Instances
newIngestedFilesSummary Source #
Arguments
| :: Int | |
| -> Int | |
| -> IngestedFilesSummary |
Create a value of IngestedFilesSummary 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:discardedFiles:IngestedFilesSummary', ingestedFilesSummary_discardedFiles - Indicates the number of files that were discarded. A file could be
discarded because its format is invalid (for example, a jpg or pdf) or
not readable.
$sel:totalNumberOfFiles:IngestedFilesSummary', ingestedFilesSummary_totalNumberOfFiles - Indicates the total number of files that were submitted for ingestion.
$sel:ingestedNumberOfFiles:IngestedFilesSummary', ingestedFilesSummary_ingestedNumberOfFiles - Indicates the number of files that were successfully ingested.
IngestionInputConfiguration
data IngestionInputConfiguration Source #
Specifies configuration information for the input data for the data ingestion job, including input data S3 location.
See: newIngestionInputConfiguration smart constructor.
Instances
newIngestionInputConfiguration Source #
Arguments
| :: IngestionS3InputConfiguration | |
| -> IngestionInputConfiguration |
Create a value of IngestionInputConfiguration 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:s3InputConfiguration:IngestionInputConfiguration', ingestionInputConfiguration_s3InputConfiguration - The location information for the S3 bucket used for input data for the
data ingestion.
IngestionS3InputConfiguration
data IngestionS3InputConfiguration Source #
Specifies S3 configuration information for the input data for the data ingestion job.
See: newIngestionS3InputConfiguration smart constructor.
Instances
newIngestionS3InputConfiguration Source #
Create a value of IngestionS3InputConfiguration 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:keyPattern:IngestionS3InputConfiguration', ingestionS3InputConfiguration_keyPattern - Pattern for matching the Amazon S3 files which will be used for
ingestion. If no KeyPattern is provided, we will use the default
hierarchy file structure, which is same as KeyPattern
{prefix}/{component_name}/*
$sel:prefix:IngestionS3InputConfiguration', ingestionS3InputConfiguration_prefix - The prefix for the S3 location being used for the input data for the
data ingestion.
$sel:bucket:IngestionS3InputConfiguration', ingestionS3InputConfiguration_bucket - The name of the S3 bucket used for the input data for the data
ingestion.
InsufficientSensorData
data InsufficientSensorData Source #
Entity that comprises aggregated information on sensors having insufficient data.
See: newInsufficientSensorData smart constructor.
Instances
newInsufficientSensorData Source #
Arguments
| :: MissingCompleteSensorData | |
| -> SensorsWithShortDateRange | |
| -> InsufficientSensorData |
Create a value of InsufficientSensorData 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:missingCompleteSensorData:InsufficientSensorData', insufficientSensorData_missingCompleteSensorData - Parameter that describes the total number of sensors that have data
completely missing for it.
$sel:sensorsWithShortDateRange:InsufficientSensorData', insufficientSensorData_sensorsWithShortDateRange - Parameter that describes the total number of sensors that have a short
date range of less than 90 days of data overall.
InvalidSensorData
data InvalidSensorData Source #
Entity that comprises aggregated information on sensors having insufficient data.
See: newInvalidSensorData smart constructor.
Constructors
| InvalidSensorData' Int Int |
Instances
Arguments
| :: Int | |
| -> Int | |
| -> InvalidSensorData |
Create a value of InvalidSensorData 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:affectedSensorCount:InvalidSensorData', invalidSensorData_affectedSensorCount - Indicates the number of sensors that have at least some invalid values.
$sel:totalNumberOfInvalidValues:InvalidSensorData', invalidSensorData_totalNumberOfInvalidValues - Indicates the total number of invalid values across all the sensors.
LabelGroupSummary
data LabelGroupSummary Source #
Contains information about the label group.
See: newLabelGroupSummary smart constructor.
Instances
newLabelGroupSummary :: LabelGroupSummary Source #
Create a value of LabelGroupSummary 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:createdAt:LabelGroupSummary', labelGroupSummary_createdAt - The time at which the label group was created.
$sel:labelGroupArn:LabelGroupSummary', labelGroupSummary_labelGroupArn - The ARN of the label group.
$sel:labelGroupName:LabelGroupSummary', labelGroupSummary_labelGroupName - The name of the label group.
$sel:updatedAt:LabelGroupSummary', labelGroupSummary_updatedAt - The time at which the label group was updated.
LabelSummary
data LabelSummary Source #
Information about the label.
See: newLabelSummary smart constructor.
Constructors
| LabelSummary' (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe LabelRating) (Maybe POSIX) |
Instances
newLabelSummary :: LabelSummary Source #
Create a value of LabelSummary 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:createdAt:LabelSummary', labelSummary_createdAt - The time at which the label was created.
$sel:endTime:LabelSummary', labelSummary_endTime - The timestamp indicating the end of the label.
$sel:equipment:LabelSummary', labelSummary_equipment - Indicates that a label pertains to a particular piece of equipment.
$sel:faultCode:LabelSummary', labelSummary_faultCode - Indicates the type of anomaly associated with the label.
Data in this field will be retained for service usage. Follow best practices for the security of your data.
$sel:labelGroupArn:LabelSummary', labelSummary_labelGroupArn - The ARN of the label group.
$sel:labelGroupName:LabelSummary', labelSummary_labelGroupName - The name of the label group.
$sel:labelId:LabelSummary', labelSummary_labelId - The ID of the label.
$sel:rating:LabelSummary', labelSummary_rating - Indicates whether a labeled event represents an anomaly.
$sel:startTime:LabelSummary', labelSummary_startTime - The timestamp indicating the start of the label.
LabelsInputConfiguration
data LabelsInputConfiguration Source #
Contains the configuration information for the S3 location being used to hold label data.
See: newLabelsInputConfiguration smart constructor.
Constructors
| LabelsInputConfiguration' (Maybe Text) (Maybe LabelsS3InputConfiguration) |
Instances
newLabelsInputConfiguration :: LabelsInputConfiguration Source #
Create a value of LabelsInputConfiguration 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:labelGroupName:LabelsInputConfiguration', labelsInputConfiguration_labelGroupName - The name of the label group to be used for label data.
$sel:s3InputConfiguration:LabelsInputConfiguration', labelsInputConfiguration_s3InputConfiguration - Contains location information for the S3 location being used for label
data.
LabelsS3InputConfiguration
data LabelsS3InputConfiguration Source #
The location information (prefix and bucket name) for the s3 location being used for label data.
See: newLabelsS3InputConfiguration smart constructor.
Constructors
| LabelsS3InputConfiguration' (Maybe Text) Text |
Instances
newLabelsS3InputConfiguration Source #
Create a value of LabelsS3InputConfiguration 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:prefix:LabelsS3InputConfiguration', labelsS3InputConfiguration_prefix - The prefix for the S3 bucket used for the label data.
$sel:bucket:LabelsS3InputConfiguration', labelsS3InputConfiguration_bucket - The name of the S3 bucket holding the label data.
LargeTimestampGaps
data LargeTimestampGaps Source #
Entity that comprises information on large gaps between consecutive timestamps in data.
See: newLargeTimestampGaps smart constructor.
Constructors
| LargeTimestampGaps' (Maybe Int) (Maybe Int) StatisticalIssueStatus |
Instances
newLargeTimestampGaps Source #
Create a value of LargeTimestampGaps 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:maxTimestampGapInDays:LargeTimestampGaps', largeTimestampGaps_maxTimestampGapInDays - Indicates the size of the largest timestamp gap, in days.
$sel:numberOfLargeTimestampGaps:LargeTimestampGaps', largeTimestampGaps_numberOfLargeTimestampGaps - Indicates the number of large timestamp gaps, if there are any.
$sel:status:LargeTimestampGaps', largeTimestampGaps_status - Indicates whether there is a potential data issue related to large gaps
in timestamps.
MissingCompleteSensorData
data MissingCompleteSensorData Source #
Entity that comprises information on sensors that have sensor data completely missing.
See: newMissingCompleteSensorData smart constructor.
Constructors
| MissingCompleteSensorData' Int |
Instances
newMissingCompleteSensorData Source #
Create a value of MissingCompleteSensorData 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:affectedSensorCount:MissingCompleteSensorData', missingCompleteSensorData_affectedSensorCount - Indicates the number of sensors that have data missing completely.
MissingSensorData
data MissingSensorData Source #
Entity that comprises aggregated information on sensors having missing data.
See: newMissingSensorData smart constructor.
Constructors
| MissingSensorData' Int Int |
Instances
Arguments
| :: Int | |
| -> Int | |
| -> MissingSensorData |
Create a value of MissingSensorData 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:affectedSensorCount:MissingSensorData', missingSensorData_affectedSensorCount - Indicates the number of sensors that have atleast some data missing.
$sel:totalNumberOfMissingValues:MissingSensorData', missingSensorData_totalNumberOfMissingValues - Indicates the total number of missing values across all the sensors.
ModelSummary
data ModelSummary Source #
Provides information about the specified ML model, including dataset and model names and ARNs, as well as status.
See: newModelSummary smart constructor.
Constructors
| ModelSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe ModelStatus) |
Instances
newModelSummary :: ModelSummary Source #
Create a value of ModelSummary 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:createdAt:ModelSummary', modelSummary_createdAt - The time at which the specific model was created.
$sel:datasetArn:ModelSummary', modelSummary_datasetArn - The Amazon Resource Name (ARN) of the dataset used to create the model.
$sel:datasetName:ModelSummary', modelSummary_datasetName - The name of the dataset being used for the ML model.
$sel:modelArn:ModelSummary', modelSummary_modelArn - The Amazon Resource Name (ARN) of the ML model.
$sel:modelName:ModelSummary', modelSummary_modelName - The name of the ML model.
$sel:status:ModelSummary', modelSummary_status - Indicates the status of the ML model.
MonotonicValues
data MonotonicValues Source #
Entity that comprises information on monotonic values in the data.
See: newMonotonicValues smart constructor.
Constructors
| MonotonicValues' (Maybe Monotonicity) StatisticalIssueStatus |
Instances
Create a value of MonotonicValues 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:monotonicity:MonotonicValues', monotonicValues_monotonicity - Indicates the monotonicity of values. Can be INCREASING, DECREASING, or
STATIC.
$sel:status:MonotonicValues', monotonicValues_status - Indicates whether there is a potential data issue related to having
monotonic values.
MultipleOperatingModes
data MultipleOperatingModes Source #
Entity that comprises information on operating modes in data.
See: newMultipleOperatingModes smart constructor.
Constructors
| MultipleOperatingModes' StatisticalIssueStatus |
Instances
newMultipleOperatingModes Source #
Create a value of MultipleOperatingModes 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:status:MultipleOperatingModes', multipleOperatingModes_status - Indicates whether there is a potential data issue related to having
multiple operating modes.
S3Object
Contains information about an S3 bucket.
See: newS3Object smart constructor.
Instances
| FromJSON S3Object Source # | |
| Generic S3Object Source # | |
| Read S3Object Source # | |
| Show S3Object Source # | |
| NFData S3Object Source # | |
Defined in Amazonka.LookoutEquipment.Types.S3Object | |
| Eq S3Object Source # | |
| Hashable S3Object Source # | |
Defined in Amazonka.LookoutEquipment.Types.S3Object | |
| type Rep S3Object Source # | |
Defined in Amazonka.LookoutEquipment.Types.S3Object type Rep S3Object = D1 ('MetaData "S3Object" "Amazonka.LookoutEquipment.Types.S3Object" "amazonka-lookoutequipment-2.0-FBtgEViQ46F6elHeNaa8oC" 'False) (C1 ('MetaCons "S3Object'" 'PrefixI 'True) (S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) | |
Create a value of S3Object 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:bucket:S3Object', s3Object_bucket - The name of the specific S3 bucket.
$sel:key:S3Object', s3Object_key - The AWS Key Management Service (AWS KMS) key being used to encrypt the
S3 object. Without this key, data in the bucket is not accessible.
SensorStatisticsSummary
data SensorStatisticsSummary Source #
Summary of ingestion statistics like whether data exists, number of missing values, number of invalid values and so on related to the particular sensor.
See: newSensorStatisticsSummary smart constructor.
Constructors
Instances
newSensorStatisticsSummary :: SensorStatisticsSummary Source #
Create a value of SensorStatisticsSummary 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:categoricalValues:SensorStatisticsSummary', sensorStatisticsSummary_categoricalValues - Parameter that describes potential risk about whether data associated
with the sensor is categorical.
$sel:componentName:SensorStatisticsSummary', sensorStatisticsSummary_componentName - Name of the component to which the particular sensor belongs for which
the statistics belong to.
$sel:dataEndTime:SensorStatisticsSummary', sensorStatisticsSummary_dataEndTime - Indicates the time reference to indicate the end of valid data
associated with the sensor that the statistics belong to.
$sel:dataExists:SensorStatisticsSummary', sensorStatisticsSummary_dataExists - Parameter that indicates whether data exists for the sensor that the
statistics belong to.
$sel:dataStartTime:SensorStatisticsSummary', sensorStatisticsSummary_dataStartTime - Indicates the time reference to indicate the beginning of valid data
associated with the sensor that the statistics belong to.
$sel:duplicateTimestamps:SensorStatisticsSummary', sensorStatisticsSummary_duplicateTimestamps - Parameter that describes the total number of duplicate timestamp records
associated with the sensor that the statistics belong to.
$sel:invalidDateEntries:SensorStatisticsSummary', sensorStatisticsSummary_invalidDateEntries - Parameter that describes the total number of invalid date entries
associated with the sensor that the statistics belong to.
$sel:invalidValues:SensorStatisticsSummary', sensorStatisticsSummary_invalidValues - Parameter that describes the total number of, and percentage of, values
that are invalid for the sensor that the statistics belong to.
$sel:largeTimestampGaps:SensorStatisticsSummary', sensorStatisticsSummary_largeTimestampGaps - Parameter that describes potential risk about whether data associated
with the sensor contains one or more large gaps between consecutive
timestamps.
$sel:missingValues:SensorStatisticsSummary', sensorStatisticsSummary_missingValues - Parameter that describes the total number of, and percentage of, values
that are missing for the sensor that the statistics belong to.
$sel:monotonicValues:SensorStatisticsSummary', sensorStatisticsSummary_monotonicValues - Parameter that describes potential risk about whether data associated
with the sensor is mostly monotonic.
$sel:multipleOperatingModes:SensorStatisticsSummary', sensorStatisticsSummary_multipleOperatingModes - Parameter that describes potential risk about whether data associated
with the sensor has more than one operating mode.
$sel:sensorName:SensorStatisticsSummary', sensorStatisticsSummary_sensorName - Name of the sensor that the statistics belong to.
SensorsWithShortDateRange
data SensorsWithShortDateRange Source #
Entity that comprises information on sensors that have shorter date range.
See: newSensorsWithShortDateRange smart constructor.
Constructors
| SensorsWithShortDateRange' Int |
Instances
newSensorsWithShortDateRange Source #
Create a value of SensorsWithShortDateRange 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:affectedSensorCount:SensorsWithShortDateRange', sensorsWithShortDateRange_affectedSensorCount - Indicates the number of sensors that have less than 90 days of data.
Tag
A tag is a key-value pair that can be added to a resource as metadata.
See: newTag smart constructor.
Instances
| FromJSON Tag Source # | |
| ToJSON Tag Source # | |
Defined in Amazonka.LookoutEquipment.Types.Tag | |
| Generic Tag Source # | |
| Read Tag Source # | |
| Show Tag Source # | |
| NFData Tag Source # | |
Defined in Amazonka.LookoutEquipment.Types.Tag | |
| Eq Tag Source # | |
| Hashable Tag Source # | |
Defined in Amazonka.LookoutEquipment.Types.Tag | |
| type Rep Tag Source # | |
Defined in Amazonka.LookoutEquipment.Types.Tag type Rep Tag = D1 ('MetaData "Tag" "Amazonka.LookoutEquipment.Types.Tag" "amazonka-lookoutequipment-2.0-FBtgEViQ46F6elHeNaa8oC" 'False) (C1 ('MetaCons "Tag'" 'PrefixI 'True) (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) | |
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:key:Tag', tag_key - The key for the specified tag.
$sel:value:Tag', tag_value - The value for the specified tag.
UnsupportedTimestamps
data UnsupportedTimestamps Source #
Entity that comprises information abount unsupported timestamps in the dataset.
See: newUnsupportedTimestamps smart constructor.
Constructors
| UnsupportedTimestamps' Int |
Instances
newUnsupportedTimestamps Source #
Arguments
| :: Int |
|
| -> UnsupportedTimestamps |
Create a value of UnsupportedTimestamps 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:totalNumberOfUnsupportedTimestamps:UnsupportedTimestamps', unsupportedTimestamps_totalNumberOfUnsupportedTimestamps - Indicates the total number of unsupported timestamps across the ingested
data.