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.Forecast

Contents

Service Configuration
Errors
Waiters
Operations
Types

Description

Derived from API version 2018-06-26 of the AWS service descriptions, licensed under Apache 2.0.

Provides APIs for creating and managing Amazon Forecast resources.

Synopsis

defaultService :: Service
_InvalidInputException :: AsError a => Fold a ServiceError
_InvalidNextTokenException :: AsError a => Fold a ServiceError
_LimitExceededException :: AsError a => Fold a ServiceError
_ResourceAlreadyExistsException :: AsError a => Fold a ServiceError
_ResourceInUseException :: AsError a => Fold a ServiceError
_ResourceNotFoundException :: AsError a => Fold a ServiceError
data CreateAutoPredictor = CreateAutoPredictor' (Maybe DataConfig) (Maybe EncryptionConfig) (Maybe Bool) (Maybe (NonEmpty Text)) (Maybe Text) (Maybe Int) (Maybe (NonEmpty Text)) (Maybe MonitorConfig) (Maybe OptimizationMetric) (Maybe Text) (Maybe [Tag]) (Maybe TimeAlignmentBoundary) Text
newCreateAutoPredictor :: Text -> CreateAutoPredictor
data CreateAutoPredictorResponse = CreateAutoPredictorResponse' (Maybe Text) Int
newCreateAutoPredictorResponse :: Int -> CreateAutoPredictorResponse
data CreateDataset = CreateDataset' (Maybe Text) (Maybe EncryptionConfig) (Maybe [Tag]) Text Domain DatasetType Schema
newCreateDataset :: Text -> Domain -> DatasetType -> Schema -> CreateDataset
data CreateDatasetResponse = CreateDatasetResponse' (Maybe Text) Int
newCreateDatasetResponse :: Int -> CreateDatasetResponse
data CreateDatasetGroup = CreateDatasetGroup' (Maybe [Text]) (Maybe [Tag]) Text Domain
newCreateDatasetGroup :: Text -> Domain -> CreateDatasetGroup
data CreateDatasetGroupResponse = CreateDatasetGroupResponse' (Maybe Text) Int
newCreateDatasetGroupResponse :: Int -> CreateDatasetGroupResponse
data CreateDatasetImportJob = CreateDatasetImportJob' (Maybe Text) (Maybe Text) (Maybe [Tag]) (Maybe Text) (Maybe Text) (Maybe Bool) Text Text DataSource
newCreateDatasetImportJob :: Text -> Text -> DataSource -> CreateDatasetImportJob
data CreateDatasetImportJobResponse = CreateDatasetImportJobResponse' (Maybe Text) Int
newCreateDatasetImportJobResponse :: Int -> CreateDatasetImportJobResponse
data CreateExplainability = CreateExplainability' (Maybe DataSource) (Maybe Bool) (Maybe Text) (Maybe Schema) (Maybe Text) (Maybe [Tag]) Text Text ExplainabilityConfig
newCreateExplainability :: Text -> Text -> ExplainabilityConfig -> CreateExplainability
data CreateExplainabilityResponse = CreateExplainabilityResponse' (Maybe Text) Int
newCreateExplainabilityResponse :: Int -> CreateExplainabilityResponse
data CreateExplainabilityExport = CreateExplainabilityExport' (Maybe Text) (Maybe [Tag]) Text Text DataDestination
newCreateExplainabilityExport :: Text -> Text -> DataDestination -> CreateExplainabilityExport
data CreateExplainabilityExportResponse = CreateExplainabilityExportResponse' (Maybe Text) Int
newCreateExplainabilityExportResponse :: Int -> CreateExplainabilityExportResponse
data CreateForecast = CreateForecast' (Maybe (NonEmpty Text)) (Maybe [Tag]) (Maybe TimeSeriesSelector) Text Text
newCreateForecast :: Text -> Text -> CreateForecast
data CreateForecastResponse = CreateForecastResponse' (Maybe Text) Int
newCreateForecastResponse :: Int -> CreateForecastResponse
data CreateForecastExportJob = CreateForecastExportJob' (Maybe Text) (Maybe [Tag]) Text Text DataDestination
newCreateForecastExportJob :: Text -> Text -> DataDestination -> CreateForecastExportJob
data CreateForecastExportJobResponse = CreateForecastExportJobResponse' (Maybe Text) Int
newCreateForecastExportJobResponse :: Int -> CreateForecastExportJobResponse
data CreateMonitor = CreateMonitor' (Maybe [Tag]) Text Text
newCreateMonitor :: Text -> Text -> CreateMonitor
data CreateMonitorResponse = CreateMonitorResponse' (Maybe Text) Int
newCreateMonitorResponse :: Int -> CreateMonitorResponse
data CreatePredictor = CreatePredictor' (Maybe Text) (Maybe AutoMLOverrideStrategy) (Maybe EncryptionConfig) (Maybe EvaluationParameters) (Maybe (NonEmpty Text)) (Maybe HyperParameterTuningJobConfig) (Maybe OptimizationMetric) (Maybe Bool) (Maybe Bool) (Maybe [Tag]) (Maybe (HashMap Text Text)) Text Int InputDataConfig FeaturizationConfig
newCreatePredictor :: Text -> Int -> InputDataConfig -> FeaturizationConfig -> CreatePredictor
data CreatePredictorResponse = CreatePredictorResponse' (Maybe Text) Int
newCreatePredictorResponse :: Int -> CreatePredictorResponse
data CreatePredictorBacktestExportJob = CreatePredictorBacktestExportJob' (Maybe Text) (Maybe [Tag]) Text Text DataDestination
newCreatePredictorBacktestExportJob :: Text -> Text -> DataDestination -> CreatePredictorBacktestExportJob
data CreatePredictorBacktestExportJobResponse = CreatePredictorBacktestExportJobResponse' (Maybe Text) Int
newCreatePredictorBacktestExportJobResponse :: Int -> CreatePredictorBacktestExportJobResponse
data CreateWhatIfAnalysis = CreateWhatIfAnalysis' (Maybe [Tag]) (Maybe TimeSeriesSelector) Text Text
newCreateWhatIfAnalysis :: Text -> Text -> CreateWhatIfAnalysis
data CreateWhatIfAnalysisResponse = CreateWhatIfAnalysisResponse' (Maybe Text) Int
newCreateWhatIfAnalysisResponse :: Int -> CreateWhatIfAnalysisResponse
data CreateWhatIfForecast = CreateWhatIfForecast' (Maybe [Tag]) (Maybe TimeSeriesReplacementsDataSource) (Maybe [TimeSeriesTransformation]) Text Text
newCreateWhatIfForecast :: Text -> Text -> CreateWhatIfForecast
data CreateWhatIfForecastResponse = CreateWhatIfForecastResponse' (Maybe Text) Int
newCreateWhatIfForecastResponse :: Int -> CreateWhatIfForecastResponse
data CreateWhatIfForecastExport = CreateWhatIfForecastExport' (Maybe Text) (Maybe [Tag]) Text (NonEmpty Text) DataDestination
newCreateWhatIfForecastExport :: Text -> NonEmpty Text -> DataDestination -> CreateWhatIfForecastExport
data CreateWhatIfForecastExportResponse = CreateWhatIfForecastExportResponse' (Maybe Text) Int
newCreateWhatIfForecastExportResponse :: Int -> CreateWhatIfForecastExportResponse
data DeleteDataset = DeleteDataset' Text
newDeleteDataset :: Text -> DeleteDataset
data DeleteDatasetResponse = DeleteDatasetResponse' {
}
newDeleteDatasetResponse :: DeleteDatasetResponse
data DeleteDatasetGroup = DeleteDatasetGroup' Text
newDeleteDatasetGroup :: Text -> DeleteDatasetGroup
data DeleteDatasetGroupResponse = DeleteDatasetGroupResponse' {
}
newDeleteDatasetGroupResponse :: DeleteDatasetGroupResponse
data DeleteDatasetImportJob = DeleteDatasetImportJob' Text
newDeleteDatasetImportJob :: Text -> DeleteDatasetImportJob
data DeleteDatasetImportJobResponse = DeleteDatasetImportJobResponse' {
}
newDeleteDatasetImportJobResponse :: DeleteDatasetImportJobResponse
data DeleteExplainability = DeleteExplainability' Text
newDeleteExplainability :: Text -> DeleteExplainability
data DeleteExplainabilityResponse = DeleteExplainabilityResponse' {
}
newDeleteExplainabilityResponse :: DeleteExplainabilityResponse
data DeleteExplainabilityExport = DeleteExplainabilityExport' Text
newDeleteExplainabilityExport :: Text -> DeleteExplainabilityExport
data DeleteExplainabilityExportResponse = DeleteExplainabilityExportResponse' {
}
newDeleteExplainabilityExportResponse :: DeleteExplainabilityExportResponse
data DeleteForecast = DeleteForecast' Text
newDeleteForecast :: Text -> DeleteForecast
data DeleteForecastResponse = DeleteForecastResponse' {
}
newDeleteForecastResponse :: DeleteForecastResponse
data DeleteForecastExportJob = DeleteForecastExportJob' Text
newDeleteForecastExportJob :: Text -> DeleteForecastExportJob
data DeleteForecastExportJobResponse = DeleteForecastExportJobResponse' {
}
newDeleteForecastExportJobResponse :: DeleteForecastExportJobResponse
data DeleteMonitor = DeleteMonitor' Text
newDeleteMonitor :: Text -> DeleteMonitor
data DeleteMonitorResponse = DeleteMonitorResponse' {
}
newDeleteMonitorResponse :: DeleteMonitorResponse
data DeletePredictor = DeletePredictor' Text
newDeletePredictor :: Text -> DeletePredictor
data DeletePredictorResponse = DeletePredictorResponse' {
}
newDeletePredictorResponse :: DeletePredictorResponse
data DeletePredictorBacktestExportJob = DeletePredictorBacktestExportJob' Text
newDeletePredictorBacktestExportJob :: Text -> DeletePredictorBacktestExportJob
data DeletePredictorBacktestExportJobResponse = DeletePredictorBacktestExportJobResponse' {
}
newDeletePredictorBacktestExportJobResponse :: DeletePredictorBacktestExportJobResponse
data DeleteResourceTree = DeleteResourceTree' Text
newDeleteResourceTree :: Text -> DeleteResourceTree
data DeleteResourceTreeResponse = DeleteResourceTreeResponse' {
}
newDeleteResourceTreeResponse :: DeleteResourceTreeResponse
data DeleteWhatIfAnalysis = DeleteWhatIfAnalysis' Text
newDeleteWhatIfAnalysis :: Text -> DeleteWhatIfAnalysis
data DeleteWhatIfAnalysisResponse = DeleteWhatIfAnalysisResponse' {
}
newDeleteWhatIfAnalysisResponse :: DeleteWhatIfAnalysisResponse
data DeleteWhatIfForecast = DeleteWhatIfForecast' Text
newDeleteWhatIfForecast :: Text -> DeleteWhatIfForecast
data DeleteWhatIfForecastResponse = DeleteWhatIfForecastResponse' {
}
newDeleteWhatIfForecastResponse :: DeleteWhatIfForecastResponse
data DeleteWhatIfForecastExport = DeleteWhatIfForecastExport' Text
newDeleteWhatIfForecastExport :: Text -> DeleteWhatIfForecastExport
data DeleteWhatIfForecastExportResponse = DeleteWhatIfForecastExportResponse' {
}
newDeleteWhatIfForecastExportResponse :: DeleteWhatIfForecastExportResponse
data DescribeAutoPredictor = DescribeAutoPredictor' Text
newDescribeAutoPredictor :: Text -> DescribeAutoPredictor
data DescribeAutoPredictorResponse = DescribeAutoPredictorResponse' (Maybe POSIX) (Maybe DataConfig) (Maybe [Text]) (Maybe EncryptionConfig) (Maybe Integer) (Maybe ExplainabilityInfo) (Maybe (NonEmpty Text)) (Maybe Text) (Maybe Int) (Maybe (NonEmpty Text)) (Maybe POSIX) (Maybe Text) (Maybe MonitorInfo) (Maybe OptimizationMetric) (Maybe Text) (Maybe Text) (Maybe ReferencePredictorSummary) (Maybe Text) (Maybe TimeAlignmentBoundary) Int
newDescribeAutoPredictorResponse :: Int -> DescribeAutoPredictorResponse
data DescribeDataset = DescribeDataset' Text
newDescribeDataset :: Text -> DescribeDataset
data DescribeDatasetResponse = DescribeDatasetResponse' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe DatasetType) (Maybe Domain) (Maybe EncryptionConfig) (Maybe POSIX) (Maybe Schema) (Maybe Text) Int
newDescribeDatasetResponse :: Int -> DescribeDatasetResponse
data DescribeDatasetGroup = DescribeDatasetGroup' Text
newDescribeDatasetGroup :: Text -> DescribeDatasetGroup
data DescribeDatasetGroupResponse = DescribeDatasetGroupResponse' (Maybe POSIX) (Maybe [Text]) (Maybe Text) (Maybe Text) (Maybe Domain) (Maybe POSIX) (Maybe Text) Int
newDescribeDatasetGroupResponse :: Int -> DescribeDatasetGroupResponse
data DescribeDatasetImportJob = DescribeDatasetImportJob' Text
newDescribeDatasetImportJob :: Text -> DescribeDatasetImportJob
data DescribeDatasetImportJobResponse = DescribeDatasetImportJobResponse' (Maybe POSIX) (Maybe Double) (Maybe DataSource) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Integer) (Maybe (HashMap Text Statistics)) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Bool) Int
newDescribeDatasetImportJobResponse :: Int -> DescribeDatasetImportJobResponse
data DescribeExplainability = DescribeExplainability' Text
newDescribeExplainability :: Text -> DescribeExplainability
data DescribeExplainabilityResponse = DescribeExplainabilityResponse' (Maybe POSIX) (Maybe DataSource) (Maybe Bool) (Maybe Text) (Maybe Integer) (Maybe Text) (Maybe ExplainabilityConfig) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Schema) (Maybe Text) (Maybe Text) Int
newDescribeExplainabilityResponse :: Int -> DescribeExplainabilityResponse
data DescribeExplainabilityExport = DescribeExplainabilityExport' Text
newDescribeExplainabilityExport :: Text -> DescribeExplainabilityExport
data DescribeExplainabilityExportResponse = DescribeExplainabilityExportResponse' (Maybe POSIX) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) Int
newDescribeExplainabilityExportResponse :: Int -> DescribeExplainabilityExportResponse
data DescribeForecast = DescribeForecast' Text
newDescribeForecast :: Text -> DescribeForecast
data DescribeForecastResponse = DescribeForecastResponse' (Maybe POSIX) (Maybe Text) (Maybe Integer) (Maybe Text) (Maybe Text) (Maybe (NonEmpty Text)) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe TimeSeriesSelector) Int
newDescribeForecastResponse :: Int -> DescribeForecastResponse
data DescribeForecastExportJob = DescribeForecastExportJob' Text
newDescribeForecastExportJob :: Text -> DescribeForecastExportJob
data DescribeForecastExportJobResponse = DescribeForecastExportJobResponse' (Maybe POSIX) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) Int
newDescribeForecastExportJobResponse :: Int -> DescribeForecastExportJobResponse
data DescribeMonitor = DescribeMonitor' Text
newDescribeMonitor :: Text -> DescribeMonitor
data DescribeMonitorResponse = DescribeMonitorResponse' (Maybe Baseline) (Maybe POSIX) (Maybe Integer) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) Int
newDescribeMonitorResponse :: Int -> DescribeMonitorResponse
data DescribePredictor = DescribePredictor' Text
newDescribePredictor :: Text -> DescribePredictor
data DescribePredictorResponse = DescribePredictorResponse' (Maybe Text) (Maybe [Text]) (Maybe AutoMLOverrideStrategy) (Maybe POSIX) (Maybe [Text]) (Maybe EncryptionConfig) (Maybe Integer) (Maybe EvaluationParameters) (Maybe FeaturizationConfig) (Maybe Int) (Maybe (NonEmpty Text)) (Maybe HyperParameterTuningJobConfig) (Maybe InputDataConfig) (Maybe Bool) (Maybe POSIX) (Maybe Text) (Maybe OptimizationMetric) (Maybe Bool) (Maybe Bool) (Maybe Text) (Maybe PredictorExecutionDetails) (Maybe Text) (Maybe Text) (Maybe (HashMap Text Text)) Int
newDescribePredictorResponse :: Int -> DescribePredictorResponse
data DescribePredictorBacktestExportJob = DescribePredictorBacktestExportJob' Text
newDescribePredictorBacktestExportJob :: Text -> DescribePredictorBacktestExportJob
data DescribePredictorBacktestExportJobResponse = DescribePredictorBacktestExportJobResponse' (Maybe POSIX) (Maybe DataDestination) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) Int
newDescribePredictorBacktestExportJobResponse :: Int -> DescribePredictorBacktestExportJobResponse
data DescribeWhatIfAnalysis = DescribeWhatIfAnalysis' Text
newDescribeWhatIfAnalysis :: Text -> DescribeWhatIfAnalysis
data DescribeWhatIfAnalysisResponse = DescribeWhatIfAnalysisResponse' (Maybe POSIX) (Maybe Integer) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe TimeSeriesSelector) (Maybe Text) (Maybe Text) Int
newDescribeWhatIfAnalysisResponse :: Int -> DescribeWhatIfAnalysisResponse
data DescribeWhatIfForecast = DescribeWhatIfForecast' Text
newDescribeWhatIfForecast :: Text -> DescribeWhatIfForecast
data DescribeWhatIfForecastResponse = DescribeWhatIfForecastResponse' (Maybe POSIX) (Maybe Integer) (Maybe (NonEmpty Text)) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe TimeSeriesReplacementsDataSource) (Maybe [TimeSeriesTransformation]) (Maybe Text) (Maybe Text) (Maybe Text) Int
newDescribeWhatIfForecastResponse :: Int -> DescribeWhatIfForecastResponse
data DescribeWhatIfForecastExport = DescribeWhatIfForecastExport' Text
newDescribeWhatIfForecastExport :: Text -> DescribeWhatIfForecastExport
data DescribeWhatIfForecastExportResponse = DescribeWhatIfForecastExportResponse' (Maybe POSIX) (Maybe DataDestination) (Maybe Integer) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe [Text]) (Maybe Text) (Maybe Text) Int
newDescribeWhatIfForecastExportResponse :: Int -> DescribeWhatIfForecastExportResponse
data GetAccuracyMetrics = GetAccuracyMetrics' Text
newGetAccuracyMetrics :: Text -> GetAccuracyMetrics
data GetAccuracyMetricsResponse = GetAccuracyMetricsResponse' (Maybe AutoMLOverrideStrategy) (Maybe Bool) (Maybe OptimizationMetric) (Maybe [EvaluationResult]) Int
newGetAccuracyMetricsResponse :: Int -> GetAccuracyMetricsResponse
data ListDatasetGroups = ListDatasetGroups' (Maybe Natural) (Maybe Text)
newListDatasetGroups :: ListDatasetGroups
data ListDatasetGroupsResponse = ListDatasetGroupsResponse' (Maybe [DatasetGroupSummary]) (Maybe Text) Int
newListDatasetGroupsResponse :: Int -> ListDatasetGroupsResponse
data ListDatasetImportJobs = ListDatasetImportJobs' (Maybe [Filter]) (Maybe Natural) (Maybe Text)
newListDatasetImportJobs :: ListDatasetImportJobs
data ListDatasetImportJobsResponse = ListDatasetImportJobsResponse' (Maybe [DatasetImportJobSummary]) (Maybe Text) Int
newListDatasetImportJobsResponse :: Int -> ListDatasetImportJobsResponse
data ListDatasets = ListDatasets' (Maybe Natural) (Maybe Text)
newListDatasets :: ListDatasets
data ListDatasetsResponse = ListDatasetsResponse' (Maybe [DatasetSummary]) (Maybe Text) Int
newListDatasetsResponse :: Int -> ListDatasetsResponse
data ListExplainabilities = ListExplainabilities' (Maybe [Filter]) (Maybe Natural) (Maybe Text)
newListExplainabilities :: ListExplainabilities
data ListExplainabilitiesResponse = ListExplainabilitiesResponse' (Maybe [ExplainabilitySummary]) (Maybe Text) Int
newListExplainabilitiesResponse :: Int -> ListExplainabilitiesResponse
data ListExplainabilityExports = ListExplainabilityExports' (Maybe [Filter]) (Maybe Natural) (Maybe Text)
newListExplainabilityExports :: ListExplainabilityExports
data ListExplainabilityExportsResponse = ListExplainabilityExportsResponse' (Maybe [ExplainabilityExportSummary]) (Maybe Text) Int
newListExplainabilityExportsResponse :: Int -> ListExplainabilityExportsResponse
data ListForecastExportJobs = ListForecastExportJobs' (Maybe [Filter]) (Maybe Natural) (Maybe Text)
newListForecastExportJobs :: ListForecastExportJobs
data ListForecastExportJobsResponse = ListForecastExportJobsResponse' (Maybe [ForecastExportJobSummary]) (Maybe Text) Int
newListForecastExportJobsResponse :: Int -> ListForecastExportJobsResponse
data ListForecasts = ListForecasts' (Maybe [Filter]) (Maybe Natural) (Maybe Text)
newListForecasts :: ListForecasts
data ListForecastsResponse = ListForecastsResponse' (Maybe [ForecastSummary]) (Maybe Text) Int
newListForecastsResponse :: Int -> ListForecastsResponse
data ListMonitorEvaluations = ListMonitorEvaluations' (Maybe [Filter]) (Maybe Natural) (Maybe Text) Text
newListMonitorEvaluations :: Text -> ListMonitorEvaluations
data ListMonitorEvaluationsResponse = ListMonitorEvaluationsResponse' (Maybe Text) (Maybe [PredictorMonitorEvaluation]) Int
newListMonitorEvaluationsResponse :: Int -> ListMonitorEvaluationsResponse
data ListMonitors = ListMonitors' (Maybe [Filter]) (Maybe Natural) (Maybe Text)
newListMonitors :: ListMonitors
data ListMonitorsResponse = ListMonitorsResponse' (Maybe [MonitorSummary]) (Maybe Text) Int
newListMonitorsResponse :: Int -> ListMonitorsResponse
data ListPredictorBacktestExportJobs = ListPredictorBacktestExportJobs' (Maybe [Filter]) (Maybe Natural) (Maybe Text)
newListPredictorBacktestExportJobs :: ListPredictorBacktestExportJobs
data ListPredictorBacktestExportJobsResponse = ListPredictorBacktestExportJobsResponse' (Maybe Text) (Maybe [PredictorBacktestExportJobSummary]) Int
newListPredictorBacktestExportJobsResponse :: Int -> ListPredictorBacktestExportJobsResponse
data ListPredictors = ListPredictors' (Maybe [Filter]) (Maybe Natural) (Maybe Text)
newListPredictors :: ListPredictors
data ListPredictorsResponse = ListPredictorsResponse' (Maybe Text) (Maybe [PredictorSummary]) Int
newListPredictorsResponse :: Int -> ListPredictorsResponse
data ListTagsForResource = ListTagsForResource' Text
newListTagsForResource :: Text -> ListTagsForResource
data ListTagsForResourceResponse = ListTagsForResourceResponse' (Maybe [Tag]) Int
newListTagsForResourceResponse :: Int -> ListTagsForResourceResponse
data ListWhatIfAnalyses = ListWhatIfAnalyses' (Maybe [Filter]) (Maybe Natural) (Maybe Text)
newListWhatIfAnalyses :: ListWhatIfAnalyses
data ListWhatIfAnalysesResponse = ListWhatIfAnalysesResponse' (Maybe Text) (Maybe [WhatIfAnalysisSummary]) Int
newListWhatIfAnalysesResponse :: Int -> ListWhatIfAnalysesResponse
data ListWhatIfForecastExports = ListWhatIfForecastExports' (Maybe [Filter]) (Maybe Natural) (Maybe Text)
newListWhatIfForecastExports :: ListWhatIfForecastExports
data ListWhatIfForecastExportsResponse = ListWhatIfForecastExportsResponse' (Maybe Text) (Maybe [WhatIfForecastExportSummary]) Int
newListWhatIfForecastExportsResponse :: Int -> ListWhatIfForecastExportsResponse
data ListWhatIfForecasts = ListWhatIfForecasts' (Maybe [Filter]) (Maybe Natural) (Maybe Text)
newListWhatIfForecasts :: ListWhatIfForecasts
data ListWhatIfForecastsResponse = ListWhatIfForecastsResponse' (Maybe Text) (Maybe [WhatIfForecastSummary]) Int
newListWhatIfForecastsResponse :: Int -> ListWhatIfForecastsResponse
data ResumeResource = ResumeResource' Text
newResumeResource :: Text -> ResumeResource
data ResumeResourceResponse = ResumeResourceResponse' {
}
newResumeResourceResponse :: ResumeResourceResponse
data StopResource = StopResource' Text
newStopResource :: Text -> StopResource
data StopResourceResponse = StopResourceResponse' {
}
newStopResourceResponse :: StopResourceResponse
data TagResource = TagResource' Text [Tag]
newTagResource :: Text -> TagResource
data TagResourceResponse = TagResourceResponse' Int
newTagResourceResponse :: Int -> TagResourceResponse
data UntagResource = UntagResource' Text [Sensitive Text]
newUntagResource :: Text -> UntagResource
data UntagResourceResponse = UntagResourceResponse' Int
newUntagResourceResponse :: Int -> UntagResourceResponse
data UpdateDatasetGroup = UpdateDatasetGroup' Text [Text]
newUpdateDatasetGroup :: Text -> UpdateDatasetGroup
data UpdateDatasetGroupResponse = UpdateDatasetGroupResponse' Int
newUpdateDatasetGroupResponse :: Int -> UpdateDatasetGroupResponse
newtype AttributeType where
- AttributeType' {
  - fromAttributeType :: Text
  }
- pattern AttributeType_Float :: AttributeType
- pattern AttributeType_Geolocation :: AttributeType
- pattern AttributeType_Integer :: AttributeType
- pattern AttributeType_String :: AttributeType
- pattern AttributeType_Timestamp :: AttributeType
newtype AutoMLOverrideStrategy where
- AutoMLOverrideStrategy' {
  - fromAutoMLOverrideStrategy :: Text
  }
- pattern AutoMLOverrideStrategy_AccuracyOptimized :: AutoMLOverrideStrategy
- pattern AutoMLOverrideStrategy_LatencyOptimized :: AutoMLOverrideStrategy
newtype Condition where
- Condition' {
  - fromCondition :: Text
  }
- pattern Condition_EQUALS :: Condition
- pattern Condition_GREATER_THAN :: Condition
- pattern Condition_LESS_THAN :: Condition
- pattern Condition_NOT_EQUALS :: Condition
newtype DatasetType where
- DatasetType' {
  - fromDatasetType :: Text
  }
- pattern DatasetType_ITEM_METADATA :: DatasetType
- pattern DatasetType_RELATED_TIME_SERIES :: DatasetType
- pattern DatasetType_TARGET_TIME_SERIES :: DatasetType
newtype DayOfWeek where
- DayOfWeek' {
  - fromDayOfWeek :: Text
  }
- pattern DayOfWeek_FRIDAY :: DayOfWeek
- pattern DayOfWeek_MONDAY :: DayOfWeek
- pattern DayOfWeek_SATURDAY :: DayOfWeek
- pattern DayOfWeek_SUNDAY :: DayOfWeek
- pattern DayOfWeek_THURSDAY :: DayOfWeek
- pattern DayOfWeek_TUESDAY :: DayOfWeek
- pattern DayOfWeek_WEDNESDAY :: DayOfWeek
newtype Domain where
- Domain' {
  - fromDomain :: Text
  }
- pattern Domain_CUSTOM :: Domain
- pattern Domain_EC2_CAPACITY :: Domain
- pattern Domain_INVENTORY_PLANNING :: Domain
- pattern Domain_METRICS :: Domain
- pattern Domain_RETAIL :: Domain
- pattern Domain_WEB_TRAFFIC :: Domain
- pattern Domain_WORK_FORCE :: Domain
newtype EvaluationType where
- EvaluationType' {
  - fromEvaluationType :: Text
  }
- pattern EvaluationType_COMPUTED :: EvaluationType
- pattern EvaluationType_SUMMARY :: EvaluationType
newtype FeaturizationMethodName where
- FeaturizationMethodName' {
  - fromFeaturizationMethodName :: Text
  }
- pattern FeaturizationMethodName_Filling :: FeaturizationMethodName
newtype FilterConditionString where
- FilterConditionString' {
  - fromFilterConditionString :: Text
  }
- pattern FilterConditionString_IS :: FilterConditionString
- pattern FilterConditionString_IS_NOT :: FilterConditionString
newtype Month where
- Month' {
  - fromMonth :: Text
  }
- pattern Month_APRIL :: Month
- pattern Month_AUGUST :: Month
- pattern Month_DECEMBER :: Month
- pattern Month_FEBRUARY :: Month
- pattern Month_JANUARY :: Month
- pattern Month_JULY :: Month
- pattern Month_JUNE :: Month
- pattern Month_MARCH :: Month
- pattern Month_MAY :: Month
- pattern Month_NOVEMBER :: Month
- pattern Month_OCTOBER :: Month
- pattern Month_SEPTEMBER :: Month
newtype Operation where
- Operation' {
  - fromOperation :: Text
  }
- pattern Operation_ADD :: Operation
- pattern Operation_DIVIDE :: Operation
- pattern Operation_MULTIPLY :: Operation
- pattern Operation_SUBTRACT :: Operation
newtype OptimizationMetric where
- OptimizationMetric' {
  - fromOptimizationMetric :: Text
  }
- pattern OptimizationMetric_AverageWeightedQuantileLoss :: OptimizationMetric
- pattern OptimizationMetric_MAPE :: OptimizationMetric
- pattern OptimizationMetric_MASE :: OptimizationMetric
- pattern OptimizationMetric_RMSE :: OptimizationMetric
- pattern OptimizationMetric_WAPE :: OptimizationMetric
newtype ScalingType where
- ScalingType' {
  - fromScalingType :: Text
  }
- pattern ScalingType_Auto :: ScalingType
- pattern ScalingType_Linear :: ScalingType
- pattern ScalingType_Logarithmic :: ScalingType
- pattern ScalingType_ReverseLogarithmic :: ScalingType
newtype State where
- State' {
  - fromState :: Text
  }
- pattern State_Active :: State
- pattern State_Deleted :: State
newtype TimePointGranularity where
- TimePointGranularity' {
  - fromTimePointGranularity :: Text
  }
- pattern TimePointGranularity_ALL :: TimePointGranularity
- pattern TimePointGranularity_SPECIFIC :: TimePointGranularity
newtype TimeSeriesGranularity where
- TimeSeriesGranularity' {
  - fromTimeSeriesGranularity :: Text
  }
- pattern TimeSeriesGranularity_ALL :: TimeSeriesGranularity
- pattern TimeSeriesGranularity_SPECIFIC :: TimeSeriesGranularity
data Action = Action' Text Operation Double
newAction :: Text -> Operation -> Double -> Action
data AdditionalDataset = AdditionalDataset' (Maybe (HashMap Text (NonEmpty Text))) Text
newAdditionalDataset :: Text -> AdditionalDataset
data AttributeConfig = AttributeConfig' Text (HashMap Text Text)
newAttributeConfig :: Text -> AttributeConfig
data Baseline = Baseline' (Maybe PredictorBaseline)
newBaseline :: Baseline
data BaselineMetric = BaselineMetric' (Maybe Text) (Maybe Double)
newBaselineMetric :: BaselineMetric
data CategoricalParameterRange = CategoricalParameterRange' Text (NonEmpty Text)
newCategoricalParameterRange :: Text -> NonEmpty Text -> CategoricalParameterRange
data ContinuousParameterRange = ContinuousParameterRange' (Maybe ScalingType) Text Double Double
newContinuousParameterRange :: Text -> Double -> Double -> ContinuousParameterRange
data DataConfig = DataConfig' (Maybe (NonEmpty AdditionalDataset)) (Maybe (NonEmpty AttributeConfig)) Text
newDataConfig :: Text -> DataConfig
data DataDestination = DataDestination' S3Config
newDataDestination :: S3Config -> DataDestination
data DataSource = DataSource' S3Config
newDataSource :: S3Config -> DataSource
data DatasetGroupSummary = DatasetGroupSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX)
newDatasetGroupSummary :: DatasetGroupSummary
data DatasetImportJobSummary = DatasetImportJobSummary' (Maybe POSIX) (Maybe DataSource) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)
newDatasetImportJobSummary :: DatasetImportJobSummary
data DatasetSummary = DatasetSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe DatasetType) (Maybe Domain) (Maybe POSIX)
newDatasetSummary :: DatasetSummary
data EncryptionConfig = EncryptionConfig' Text Text
newEncryptionConfig :: Text -> Text -> EncryptionConfig
data ErrorMetric = ErrorMetric' (Maybe Text) (Maybe Double) (Maybe Double) (Maybe Double) (Maybe Double)
newErrorMetric :: ErrorMetric
data EvaluationParameters = EvaluationParameters' (Maybe Int) (Maybe Int)
newEvaluationParameters :: EvaluationParameters
data EvaluationResult = EvaluationResult' (Maybe Text) (Maybe [WindowSummary])
newEvaluationResult :: EvaluationResult
data ExplainabilityConfig = ExplainabilityConfig' TimeSeriesGranularity TimePointGranularity
newExplainabilityConfig :: TimeSeriesGranularity -> TimePointGranularity -> ExplainabilityConfig
data ExplainabilityExportSummary = ExplainabilityExportSummary' (Maybe POSIX) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)
newExplainabilityExportSummary :: ExplainabilityExportSummary
data ExplainabilityInfo = ExplainabilityInfo' (Maybe Text) (Maybe Text)
newExplainabilityInfo :: ExplainabilityInfo
data ExplainabilitySummary = ExplainabilitySummary' (Maybe POSIX) (Maybe Text) (Maybe ExplainabilityConfig) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text)
newExplainabilitySummary :: ExplainabilitySummary
data Featurization = Featurization' (Maybe (NonEmpty FeaturizationMethod)) Text
newFeaturization :: Text -> Featurization
data FeaturizationConfig = FeaturizationConfig' (Maybe (NonEmpty Featurization)) (Maybe (NonEmpty Text)) Text
newFeaturizationConfig :: Text -> FeaturizationConfig
data FeaturizationMethod = FeaturizationMethod' (Maybe (HashMap Text Text)) FeaturizationMethodName
newFeaturizationMethod :: FeaturizationMethodName -> FeaturizationMethod
data Filter = Filter' Text Text FilterConditionString
newFilter :: Text -> Text -> FilterConditionString -> Filter
data ForecastExportJobSummary = ForecastExportJobSummary' (Maybe POSIX) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)
newForecastExportJobSummary :: ForecastExportJobSummary
data ForecastSummary = ForecastSummary' (Maybe Bool) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text)
newForecastSummary :: ForecastSummary
data HyperParameterTuningJobConfig = HyperParameterTuningJobConfig' (Maybe ParameterRanges)
newHyperParameterTuningJobConfig :: HyperParameterTuningJobConfig
data InputDataConfig = InputDataConfig' (Maybe (NonEmpty SupplementaryFeature)) Text
newInputDataConfig :: Text -> InputDataConfig
data IntegerParameterRange = IntegerParameterRange' (Maybe ScalingType) Text Int Int
newIntegerParameterRange :: Text -> Int -> Int -> IntegerParameterRange
data MetricResult = MetricResult' (Maybe Text) (Maybe Double)
newMetricResult :: MetricResult
data Metrics = Metrics' (Maybe Double) (Maybe [ErrorMetric]) (Maybe Double) (Maybe [WeightedQuantileLoss])
newMetrics :: Metrics
data MonitorConfig = MonitorConfig' Text
newMonitorConfig :: Text -> MonitorConfig
data MonitorDataSource = MonitorDataSource' (Maybe Text) (Maybe Text) (Maybe Text)
newMonitorDataSource :: MonitorDataSource
data MonitorInfo = MonitorInfo' (Maybe Text) (Maybe Text)
newMonitorInfo :: MonitorInfo
data MonitorSummary = MonitorSummary' (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)
newMonitorSummary :: MonitorSummary
data ParameterRanges = ParameterRanges' (Maybe (NonEmpty CategoricalParameterRange)) (Maybe (NonEmpty ContinuousParameterRange)) (Maybe (NonEmpty IntegerParameterRange))
newParameterRanges :: ParameterRanges
data PredictorBacktestExportJobSummary = PredictorBacktestExportJobSummary' (Maybe POSIX) (Maybe DataDestination) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)
newPredictorBacktestExportJobSummary :: PredictorBacktestExportJobSummary
data PredictorBaseline = PredictorBaseline' (Maybe [BaselineMetric])
newPredictorBaseline :: PredictorBaseline
data PredictorEvent = PredictorEvent' (Maybe POSIX) (Maybe Text)
newPredictorEvent :: PredictorEvent
data PredictorExecution = PredictorExecution' (Maybe Text) (Maybe [TestWindowSummary])
newPredictorExecution :: PredictorExecution
data PredictorExecutionDetails = PredictorExecutionDetails' (Maybe (NonEmpty PredictorExecution))
newPredictorExecutionDetails :: PredictorExecutionDetails
data PredictorMonitorEvaluation = PredictorMonitorEvaluation' (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe [MetricResult]) (Maybe Text) (Maybe MonitorDataSource) (Maybe Integer) (Maybe PredictorEvent) (Maybe Text) (Maybe POSIX) (Maybe POSIX)
newPredictorMonitorEvaluation :: PredictorMonitorEvaluation
data PredictorSummary = PredictorSummary' (Maybe POSIX) (Maybe Text) (Maybe Bool) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe ReferencePredictorSummary) (Maybe Text)
newPredictorSummary :: PredictorSummary
data ReferencePredictorSummary = ReferencePredictorSummary' (Maybe Text) (Maybe State)
newReferencePredictorSummary :: ReferencePredictorSummary
data S3Config = S3Config' (Maybe Text) Text Text
newS3Config :: Text -> Text -> S3Config
data Schema = Schema' (Maybe (NonEmpty SchemaAttribute))
newSchema :: Schema
data SchemaAttribute = SchemaAttribute' (Maybe Text) (Maybe AttributeType)
newSchemaAttribute :: SchemaAttribute
data Statistics = Statistics' (Maybe Double) (Maybe Int) (Maybe Int) (Maybe Integer) (Maybe Integer) (Maybe Int) (Maybe Integer) (Maybe Int) (Maybe Integer) (Maybe Text) (Maybe Text) (Maybe Double)
newStatistics :: Statistics
data SupplementaryFeature = SupplementaryFeature' Text Text
newSupplementaryFeature :: Text -> Text -> SupplementaryFeature
data Tag = Tag' (Sensitive Text) (Sensitive Text)
newTag :: Text -> Text -> Tag
data TestWindowSummary = TestWindowSummary' (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe POSIX)
newTestWindowSummary :: TestWindowSummary
data TimeAlignmentBoundary = TimeAlignmentBoundary' (Maybe Natural) (Maybe DayOfWeek) (Maybe Natural) (Maybe Month)
newTimeAlignmentBoundary :: TimeAlignmentBoundary
data TimeSeriesCondition = TimeSeriesCondition' Text Text Condition
newTimeSeriesCondition :: Text -> Text -> Condition -> TimeSeriesCondition
data TimeSeriesIdentifiers = TimeSeriesIdentifiers' (Maybe DataSource) (Maybe Text) (Maybe Schema)
newTimeSeriesIdentifiers :: TimeSeriesIdentifiers
data TimeSeriesReplacementsDataSource = TimeSeriesReplacementsDataSource' (Maybe Text) (Maybe Text) S3Config Schema
newTimeSeriesReplacementsDataSource :: S3Config -> Schema -> TimeSeriesReplacementsDataSource
data TimeSeriesSelector = TimeSeriesSelector' (Maybe TimeSeriesIdentifiers)
newTimeSeriesSelector :: TimeSeriesSelector
data TimeSeriesTransformation = TimeSeriesTransformation' (Maybe Action) (Maybe [TimeSeriesCondition])
newTimeSeriesTransformation :: TimeSeriesTransformation
data WeightedQuantileLoss = WeightedQuantileLoss' (Maybe Double) (Maybe Double)
newWeightedQuantileLoss :: WeightedQuantileLoss
data WhatIfAnalysisSummary = WhatIfAnalysisSummary' (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)
newWhatIfAnalysisSummary :: WhatIfAnalysisSummary
data WhatIfForecastExportSummary = WhatIfForecastExportSummary' (Maybe POSIX) (Maybe DataDestination) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe (NonEmpty Text)) (Maybe Text) (Maybe Text)
newWhatIfForecastExportSummary :: WhatIfForecastExportSummary
data WhatIfForecastSummary = WhatIfForecastSummary' (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)
newWhatIfForecastSummary :: WhatIfForecastSummary
data WindowSummary = WindowSummary' (Maybe EvaluationType) (Maybe Int) (Maybe Metrics) (Maybe POSIX) (Maybe POSIX)
newWindowSummary :: WindowSummary

Service Configuration

defaultService :: Service Source #

API version 2018-06-26 of the Amazon Forecast Service 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 Forecast.

InvalidInputException

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

We can't process the request because it includes an invalid value or a value that exceeds the valid range.

InvalidNextTokenException

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

The token is not valid. Tokens expire after 24 hours.

LimitExceededException

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

The limit on the number of resources per account has been exceeded.

ResourceAlreadyExistsException

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

There is already a resource with this name. Try again with a different name.

ResourceInUseException

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

The specified resource is in use.

ResourceNotFoundException

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

We can't find a resource with that Amazon Resource Name (ARN). Check the ARN and try again.

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.

CreateAutoPredictor

data CreateAutoPredictor Source #

See: newCreateAutoPredictor smart constructor.

Constructors

CreateAutoPredictor' (Maybe DataConfig) (Maybe EncryptionConfig) (Maybe Bool) (Maybe (NonEmpty Text)) (Maybe Text) (Maybe Int) (Maybe (NonEmpty Text)) (Maybe MonitorConfig) (Maybe OptimizationMetric) (Maybe Text) (Maybe [Tag]) (Maybe TimeAlignmentBoundary) Text

Instances

Instances details

ToJSON CreateAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Methods toJSON :: CreateAutoPredictor -> Value # toEncoding :: CreateAutoPredictor -> Encoding # toJSONList :: [CreateAutoPredictor] -> Value # toEncodingList :: [CreateAutoPredictor] -> Encoding #
ToHeaders CreateAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Methods toHeaders :: CreateAutoPredictor -> [Header] #
ToPath CreateAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Methods toPath :: CreateAutoPredictor -> ByteString #
ToQuery CreateAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Methods toQuery :: CreateAutoPredictor -> QueryString #
AWSRequest CreateAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Associated Types type AWSResponse CreateAutoPredictor # Methods request :: (Service -> Service) -> CreateAutoPredictor -> Request CreateAutoPredictor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateAutoPredictor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateAutoPredictor))) #
Generic CreateAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Associated Types type Rep CreateAutoPredictor :: Type -> Type # Methods from :: CreateAutoPredictor -> Rep CreateAutoPredictor x # to :: Rep CreateAutoPredictor x -> CreateAutoPredictor #
Show CreateAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Methods showsPrec :: Int -> CreateAutoPredictor -> ShowS # show :: CreateAutoPredictor -> String # showList :: [CreateAutoPredictor] -> ShowS #
NFData CreateAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Methods rnf :: CreateAutoPredictor -> () #
Eq CreateAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Methods (==) :: CreateAutoPredictor -> CreateAutoPredictor -> Bool # (/=) :: CreateAutoPredictor -> CreateAutoPredictor -> Bool #
Hashable CreateAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Methods hashWithSalt :: Int -> CreateAutoPredictor -> Int # hash :: CreateAutoPredictor -> Int #
type AWSResponse CreateAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor type AWSResponse CreateAutoPredictor = CreateAutoPredictorResponse
type Rep CreateAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor type Rep CreateAutoPredictor = D1 ('MetaData "CreateAutoPredictor" "Amazonka.Forecast.CreateAutoPredictor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateAutoPredictor'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "dataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataConfig)) :: (S1 ('MetaSel ('Just "encryptionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EncryptionConfig)) :: S1 ('MetaSel ('Just "explainPredictor") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))) :: (S1 ('MetaSel ('Just "forecastDimensions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: (S1 ('MetaSel ('Just "forecastFrequency") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "forecastHorizon") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))))) :: ((S1 ('MetaSel ('Just "forecastTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: (S1 ('MetaSel ('Just "monitorConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitorConfig)) :: S1 ('MetaSel ('Just "optimizationMetric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OptimizationMetric)))) :: ((S1 ('MetaSel ('Just "referencePredictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))) :: (S1 ('MetaSel ('Just "timeAlignmentBoundary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TimeAlignmentBoundary)) :: S1 ('MetaSel ('Just "predictorName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newCreateAutoPredictor Source #

Arguments

:: Text	`CreateAutoPredictor`
-> CreateAutoPredictor

Create a value of CreateAutoPredictor 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:dataConfig:CreateAutoPredictor', createAutoPredictor_dataConfig - The data configuration for your dataset group and any additional datasets.

$sel:encryptionConfig:CreateAutoPredictor', createAutoPredictor_encryptionConfig - Undocumented member.

$sel:explainPredictor:CreateAutoPredictor', createAutoPredictor_explainPredictor - Create an Explainability resource for the predictor.

CreateAutoPredictor, createAutoPredictor_forecastDimensions - An array of dimension (field) names that specify how to group the generated forecast.

For example, if you are generating forecasts for item sales across all your stores, and your dataset contains a store_id field, you would specify store_id as a dimension to group sales forecasts for each store.

CreateAutoPredictor, createAutoPredictor_forecastFrequency - The frequency of predictions in a forecast.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "Y" indicates every year and "5min" indicates every five minutes.

The frequency must be greater than or equal to the TARGET_TIME_SERIES dataset frequency.

When a RELATED_TIME_SERIES dataset is provided, the frequency must be equal to the RELATED_TIME_SERIES dataset frequency.

$sel:forecastHorizon:CreateAutoPredictor', createAutoPredictor_forecastHorizon - The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.

The maximum forecast horizon is the lesser of 500 time-steps or 1/4 of the TARGET_TIME_SERIES dataset length. If you are retraining an existing AutoPredictor, then the maximum forecast horizon is the lesser of 500 time-steps or 1/3 of the TARGET_TIME_SERIES dataset length.

If you are upgrading to an AutoPredictor or retraining an existing AutoPredictor, you cannot update the forecast horizon parameter. You can meet this requirement by providing longer time-series in the dataset.

$sel:forecastTypes:CreateAutoPredictor', createAutoPredictor_forecastTypes - The forecast types used to train a predictor. You can specify up to five forecast types. Forecast types can be quantiles from 0.01 to 0.99, by increments of 0.01 or higher. You can also specify the mean forecast with mean.

$sel:monitorConfig:CreateAutoPredictor', createAutoPredictor_monitorConfig - The configuration details for predictor monitoring. Provide a name for the monitor resource to enable predictor monitoring.

Predictor monitoring allows you to see how your predictor's performance changes over time. For more information, see Predictor Monitoring.

$sel:optimizationMetric:CreateAutoPredictor', createAutoPredictor_optimizationMetric - The accuracy metric used to optimize the predictor.

$sel:referencePredictorArn:CreateAutoPredictor', createAutoPredictor_referencePredictorArn - The ARN of the predictor to retrain or upgrade. This parameter is only used when retraining or upgrading a predictor. When creating a new predictor, do not specify a value for this parameter.

When upgrading or retraining a predictor, only specify values for the ReferencePredictorArn and PredictorName. The value for PredictorName must be a unique predictor name.

$sel:tags:CreateAutoPredictor', createAutoPredictor_tags - Optional metadata to help you categorize and organize your predictors. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.

The following restrictions apply to tags:

For each resource, each tag key must be unique and each tag key must have one value.
Maximum number of tags per resource: 50.
Maximum key length: 128 Unicode characters in UTF-8.
Maximum value length: 256 Unicode characters in UTF-8.
Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.
Key prefixes cannot include any upper or lowercase combination of aws: or AWS:. Values can have this prefix. If a tag value has aws as its prefix but the key does not, Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit. You cannot edit or delete tag keys with this prefix.

$sel:timeAlignmentBoundary:CreateAutoPredictor', createAutoPredictor_timeAlignmentBoundary - The time boundary Forecast uses to align and aggregate any data that doesn't align with your forecast frequency. Provide the unit of time and the time boundary as a key value pair. For more information on specifying a time boundary, see Specifying a Time Boundary. If you don't provide a time boundary, Forecast uses a set of Default Time Boundaries.

CreateAutoPredictor, createAutoPredictor_predictorName - A unique name for the predictor

data CreateAutoPredictorResponse Source #

See: newCreateAutoPredictorResponse smart constructor.

Constructors

CreateAutoPredictorResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateAutoPredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Associated Types type Rep CreateAutoPredictorResponse :: Type -> Type # Methods from :: CreateAutoPredictorResponse -> Rep CreateAutoPredictorResponse x # to :: Rep CreateAutoPredictorResponse x -> CreateAutoPredictorResponse #
Read CreateAutoPredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Methods readsPrec :: Int -> ReadS CreateAutoPredictorResponse # readList :: ReadS [CreateAutoPredictorResponse] # readPrec :: ReadPrec CreateAutoPredictorResponse # readListPrec :: ReadPrec [CreateAutoPredictorResponse] #
Show CreateAutoPredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Methods showsPrec :: Int -> CreateAutoPredictorResponse -> ShowS # show :: CreateAutoPredictorResponse -> String # showList :: [CreateAutoPredictorResponse] -> ShowS #
NFData CreateAutoPredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Methods rnf :: CreateAutoPredictorResponse -> () #
Eq CreateAutoPredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor Methods (==) :: CreateAutoPredictorResponse -> CreateAutoPredictorResponse -> Bool # (/=) :: CreateAutoPredictorResponse -> CreateAutoPredictorResponse -> Bool #
type Rep CreateAutoPredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreateAutoPredictor type Rep CreateAutoPredictorResponse = D1 ('MetaData "CreateAutoPredictorResponse" "Amazonka.Forecast.CreateAutoPredictor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateAutoPredictorResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateAutoPredictorResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateAutoPredictorResponse'`
-> CreateAutoPredictorResponse

Create a value of CreateAutoPredictorResponse 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:

CreateAutoPredictorResponse, createAutoPredictorResponse_predictorArn - The Amazon Resource Name (ARN) of the predictor.

$sel:httpStatus:CreateAutoPredictorResponse', createAutoPredictorResponse_httpStatus - The response's http status code.

CreateDataset

data CreateDataset Source #

See: newCreateDataset smart constructor.

Constructors

CreateDataset' (Maybe Text) (Maybe EncryptionConfig) (Maybe [Tag]) Text Domain DatasetType Schema

Instances

Instances details

ToJSON CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods toJSON :: CreateDataset -> Value # toEncoding :: CreateDataset -> Encoding # toJSONList :: [CreateDataset] -> Value # toEncodingList :: [CreateDataset] -> Encoding #
ToHeaders CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods toHeaders :: CreateDataset -> [Header] #
ToPath CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods toPath :: CreateDataset -> ByteString #
ToQuery CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods toQuery :: CreateDataset -> QueryString #
AWSRequest CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Associated Types type AWSResponse CreateDataset # Methods request :: (Service -> Service) -> CreateDataset -> Request CreateDataset # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateDataset -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateDataset))) #
Generic CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Associated Types type Rep CreateDataset :: Type -> Type # Methods from :: CreateDataset -> Rep CreateDataset x # to :: Rep CreateDataset x -> CreateDataset #
Show CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods showsPrec :: Int -> CreateDataset -> ShowS # show :: CreateDataset -> String # showList :: [CreateDataset] -> ShowS #
NFData CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods rnf :: CreateDataset -> () #
Eq CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods (==) :: CreateDataset -> CreateDataset -> Bool # (/=) :: CreateDataset -> CreateDataset -> Bool #
Hashable CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods hashWithSalt :: Int -> CreateDataset -> Int # hash :: CreateDataset -> Int #
type AWSResponse CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset type AWSResponse CreateDataset = CreateDatasetResponse
type Rep CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset type Rep CreateDataset = D1 ('MetaData "CreateDataset" "Amazonka.Forecast.CreateDataset" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateDataset'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "dataFrequency") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "encryptionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EncryptionConfig)) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))) :: ((S1 ('MetaSel ('Just "datasetName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Domain)) :: (S1 ('MetaSel ('Just "datasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DatasetType) :: S1 ('MetaSel ('Just "schema") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Schema)))))

newCreateDataset Source #

Arguments

:: Text	`CreateDataset`
-> Domain	`CreateDataset`
-> DatasetType	`CreateDataset`
-> Schema	`CreateDataset`
-> 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:dataFrequency:CreateDataset', createDataset_dataFrequency - The frequency of data collection. This parameter is required for RELATED_TIME_SERIES datasets.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "D" indicates every day and "15min" indicates every 15 minutes.

$sel:encryptionConfig:CreateDataset', createDataset_encryptionConfig - An AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.

$sel:tags:CreateDataset', createDataset_tags - The optional metadata that you apply to the dataset to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

CreateDataset, createDataset_datasetName - A name for the dataset.

CreateDataset, createDataset_domain - The domain associated with the dataset. When you add a dataset to a dataset group, this value and the value specified for the Domain parameter of the CreateDatasetGroup operation must match.

The Domain and DatasetType that you choose determine the fields that must be present in the training data that you import to the dataset. For example, if you choose the RETAIL domain and TARGET_TIME_SERIES as the DatasetType, Amazon Forecast requires item_id, timestamp, and demand fields to be present in your data. For more information, see Importing datasets.

CreateDataset, createDataset_datasetType - The dataset type. Valid values depend on the chosen Domain.

CreateDataset, createDataset_schema - The schema for the dataset. The schema attributes and their order must match the fields in your data. The dataset Domain and DatasetType that you choose determine the minimum required fields in your training data. For information about the required fields for a specific dataset domain and type, see Dataset Domains and Dataset Types.

data CreateDatasetResponse Source #

See: newCreateDatasetResponse smart constructor.

Constructors

CreateDatasetResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Associated Types type Rep CreateDatasetResponse :: Type -> Type # Methods from :: CreateDatasetResponse -> Rep CreateDatasetResponse x # to :: Rep CreateDatasetResponse x -> CreateDatasetResponse #
Read CreateDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods readsPrec :: Int -> ReadS CreateDatasetResponse # readList :: ReadS [CreateDatasetResponse] # readPrec :: ReadPrec CreateDatasetResponse # readListPrec :: ReadPrec [CreateDatasetResponse] #
Show CreateDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods showsPrec :: Int -> CreateDatasetResponse -> ShowS # show :: CreateDatasetResponse -> String # showList :: [CreateDatasetResponse] -> ShowS #
NFData CreateDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods rnf :: CreateDatasetResponse -> () #
Eq CreateDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods (==) :: CreateDatasetResponse -> CreateDatasetResponse -> Bool # (/=) :: CreateDatasetResponse -> CreateDatasetResponse -> Bool #
type Rep CreateDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDataset type Rep CreateDatasetResponse = D1 ('MetaData "CreateDatasetResponse" "Amazonka.Forecast.CreateDataset" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateDatasetResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateDatasetResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateDatasetResponse'`
-> CreateDatasetResponse

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.

$sel:httpStatus:CreateDatasetResponse', createDatasetResponse_httpStatus - The response's http status code.

CreateDatasetGroup

data CreateDatasetGroup Source #

See: newCreateDatasetGroup smart constructor.

Constructors

CreateDatasetGroup' (Maybe [Text]) (Maybe [Tag]) Text Domain

Instances

Instances details

ToJSON CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods toJSON :: CreateDatasetGroup -> Value # toEncoding :: CreateDatasetGroup -> Encoding # toJSONList :: [CreateDatasetGroup] -> Value # toEncodingList :: [CreateDatasetGroup] -> Encoding #
ToHeaders CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods toHeaders :: CreateDatasetGroup -> [Header] #
ToPath CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods toPath :: CreateDatasetGroup -> ByteString #
ToQuery CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods toQuery :: CreateDatasetGroup -> QueryString #
AWSRequest CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Associated Types type AWSResponse CreateDatasetGroup # Methods request :: (Service -> Service) -> CreateDatasetGroup -> Request CreateDatasetGroup # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateDatasetGroup -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateDatasetGroup))) #
Generic CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Associated Types type Rep CreateDatasetGroup :: Type -> Type # Methods from :: CreateDatasetGroup -> Rep CreateDatasetGroup x # to :: Rep CreateDatasetGroup x -> CreateDatasetGroup #
Show CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods showsPrec :: Int -> CreateDatasetGroup -> ShowS # show :: CreateDatasetGroup -> String # showList :: [CreateDatasetGroup] -> ShowS #
NFData CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods rnf :: CreateDatasetGroup -> () #
Eq CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods (==) :: CreateDatasetGroup -> CreateDatasetGroup -> Bool # (/=) :: CreateDatasetGroup -> CreateDatasetGroup -> Bool #
Hashable CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods hashWithSalt :: Int -> CreateDatasetGroup -> Int # hash :: CreateDatasetGroup -> Int #
type AWSResponse CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup type AWSResponse CreateDatasetGroup = CreateDatasetGroupResponse
type Rep CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup type Rep CreateDatasetGroup = D1 ('MetaData "CreateDatasetGroup" "Amazonka.Forecast.CreateDatasetGroup" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateDatasetGroup'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "datasetArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))) :: (S1 ('MetaSel ('Just "datasetGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Domain))))

newCreateDatasetGroup Source #

Arguments

:: Text	`CreateDatasetGroup`
-> Domain	`CreateDatasetGroup`
-> CreateDatasetGroup

Create a value of CreateDatasetGroup 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:datasetArns:CreateDatasetGroup', createDatasetGroup_datasetArns - An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.

$sel:tags:CreateDatasetGroup', createDatasetGroup_tags - The optional metadata that you apply to the dataset group to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

CreateDatasetGroup, createDatasetGroup_datasetGroupName - A name for the dataset group.

CreateDatasetGroup, createDatasetGroup_domain - The domain associated with the dataset group. When you add a dataset to a dataset group, this value and the value specified for the Domain parameter of the CreateDataset operation must match.

The Domain and DatasetType that you choose determine the fields that must be present in training data that you import to a dataset. For example, if you choose the RETAIL domain and TARGET_TIME_SERIES as the DatasetType, Amazon Forecast requires that item_id, timestamp, and demand fields are present in your data. For more information, see Dataset groups.

data CreateDatasetGroupResponse Source #

See: newCreateDatasetGroupResponse smart constructor.

Constructors

CreateDatasetGroupResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Associated Types type Rep CreateDatasetGroupResponse :: Type -> Type # Methods from :: CreateDatasetGroupResponse -> Rep CreateDatasetGroupResponse x # to :: Rep CreateDatasetGroupResponse x -> CreateDatasetGroupResponse #
Read CreateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods readsPrec :: Int -> ReadS CreateDatasetGroupResponse # readList :: ReadS [CreateDatasetGroupResponse] # readPrec :: ReadPrec CreateDatasetGroupResponse # readListPrec :: ReadPrec [CreateDatasetGroupResponse] #
Show CreateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods showsPrec :: Int -> CreateDatasetGroupResponse -> ShowS # show :: CreateDatasetGroupResponse -> String # showList :: [CreateDatasetGroupResponse] -> ShowS #
NFData CreateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods rnf :: CreateDatasetGroupResponse -> () #
Eq CreateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods (==) :: CreateDatasetGroupResponse -> CreateDatasetGroupResponse -> Bool # (/=) :: CreateDatasetGroupResponse -> CreateDatasetGroupResponse -> Bool #
type Rep CreateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup type Rep CreateDatasetGroupResponse = D1 ('MetaData "CreateDatasetGroupResponse" "Amazonka.Forecast.CreateDatasetGroup" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateDatasetGroupResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateDatasetGroupResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateDatasetGroupResponse'`
-> CreateDatasetGroupResponse

Create a value of CreateDatasetGroupResponse 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:

CreateDatasetGroupResponse, createDatasetGroupResponse_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group.

$sel:httpStatus:CreateDatasetGroupResponse', createDatasetGroupResponse_httpStatus - The response's http status code.

CreateDatasetImportJob

data CreateDatasetImportJob Source #

See: newCreateDatasetImportJob smart constructor.

Constructors

CreateDatasetImportJob' (Maybe Text) (Maybe Text) (Maybe [Tag]) (Maybe Text) (Maybe Text) (Maybe Bool) Text Text DataSource

Instances

Instances details

ToJSON CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods toJSON :: CreateDatasetImportJob -> Value # toEncoding :: CreateDatasetImportJob -> Encoding # toJSONList :: [CreateDatasetImportJob] -> Value # toEncodingList :: [CreateDatasetImportJob] -> Encoding #
ToHeaders CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods toHeaders :: CreateDatasetImportJob -> [Header] #
ToPath CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods toPath :: CreateDatasetImportJob -> ByteString #
ToQuery CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods toQuery :: CreateDatasetImportJob -> QueryString #
AWSRequest CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Associated Types type AWSResponse CreateDatasetImportJob # Methods request :: (Service -> Service) -> CreateDatasetImportJob -> Request CreateDatasetImportJob # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateDatasetImportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateDatasetImportJob))) #
Generic CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Associated Types type Rep CreateDatasetImportJob :: Type -> Type # Methods from :: CreateDatasetImportJob -> Rep CreateDatasetImportJob x # to :: Rep CreateDatasetImportJob x -> CreateDatasetImportJob #
Show CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods showsPrec :: Int -> CreateDatasetImportJob -> ShowS # show :: CreateDatasetImportJob -> String # showList :: [CreateDatasetImportJob] -> ShowS #
NFData CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods rnf :: CreateDatasetImportJob -> () #
Eq CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods (==) :: CreateDatasetImportJob -> CreateDatasetImportJob -> Bool # (/=) :: CreateDatasetImportJob -> CreateDatasetImportJob -> Bool #
Hashable CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods hashWithSalt :: Int -> CreateDatasetImportJob -> Int # hash :: CreateDatasetImportJob -> Int #
type AWSResponse CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob type AWSResponse CreateDatasetImportJob = CreateDatasetImportJobResponse
type Rep CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob type Rep CreateDatasetImportJob = D1 ('MetaData "CreateDatasetImportJob" "Amazonka.Forecast.CreateDatasetImportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateDatasetImportJob'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "geolocationFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :: S1 ('MetaSel ('Just "timeZone") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "timestampFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "useGeolocationForTimeZone") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))) :: (S1 ('MetaSel ('Just "datasetImportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DataSource))))))

newCreateDatasetImportJob Source #

Arguments

:: Text	`CreateDatasetImportJob`
-> Text	`CreateDatasetImportJob`
-> DataSource	`CreateDatasetImportJob`
-> CreateDatasetImportJob

Create a value of CreateDatasetImportJob 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:

CreateDatasetImportJob, createDatasetImportJob_format - The format of the imported data, CSV or PARQUET. The default value is CSV.

$sel:geolocationFormat:CreateDatasetImportJob', createDatasetImportJob_geolocationFormat - The format of the geolocation attribute. The geolocation attribute can be formatted in one of two ways:

LAT_LONG - the latitude and longitude in decimal format (Example: 47.61_-122.33).
CC_POSTALCODE (US Only) - the country code (US), followed by the 5-digit ZIP code (Example: US_98121).

$sel:tags:CreateDatasetImportJob', createDatasetImportJob_tags - The optional metadata that you apply to the dataset import job to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

$sel:timeZone:CreateDatasetImportJob', createDatasetImportJob_timeZone - A single time zone for every item in your dataset. This option is ideal for datasets with all timestamps within a single time zone, or if all timestamps are normalized to a single time zone.

Refer to the Joda-Time API for a complete list of valid time zone names.

CreateDatasetImportJob, createDatasetImportJob_timestampFormat - The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported

"yyyy-MM-dd"
For the following data frequencies: Y, M, W, and D
"yyyy-MM-dd HH:mm:ss"
For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D

If the format isn't specified, Amazon Forecast expects the format to be "yyyy-MM-dd HH:mm:ss".

$sel:useGeolocationForTimeZone:CreateDatasetImportJob', createDatasetImportJob_useGeolocationForTimeZone - Automatically derive time zone information from the geolocation attribute. This option is ideal for datasets that contain timestamps in multiple time zones and those timestamps are expressed in local time.

CreateDatasetImportJob, createDatasetImportJob_datasetImportJobName - The name for the dataset import job. We recommend including the current timestamp in the name, for example, 20190721DatasetImport. This can help you avoid getting a ResourceAlreadyExistsException exception.

CreateDatasetImportJob, createDatasetImportJob_datasetArn - The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to import data to.

CreateDatasetImportJob, createDatasetImportJob_dataSource - The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. The training data must be stored in an Amazon S3 bucket.

If encryption is used, DataSource must include an AWS Key Management Service (KMS) key and the IAM role must allow Amazon Forecast permission to access the key. The KMS key and IAM role must match those specified in the EncryptionConfig parameter of the CreateDataset operation.

data CreateDatasetImportJobResponse Source #

See: newCreateDatasetImportJobResponse smart constructor.

Constructors

CreateDatasetImportJobResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Associated Types type Rep CreateDatasetImportJobResponse :: Type -> Type # Methods from :: CreateDatasetImportJobResponse -> Rep CreateDatasetImportJobResponse x # to :: Rep CreateDatasetImportJobResponse x -> CreateDatasetImportJobResponse #
Read CreateDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods readsPrec :: Int -> ReadS CreateDatasetImportJobResponse # readList :: ReadS [CreateDatasetImportJobResponse] # readPrec :: ReadPrec CreateDatasetImportJobResponse # readListPrec :: ReadPrec [CreateDatasetImportJobResponse] #
Show CreateDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods showsPrec :: Int -> CreateDatasetImportJobResponse -> ShowS # show :: CreateDatasetImportJobResponse -> String # showList :: [CreateDatasetImportJobResponse] -> ShowS #
NFData CreateDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods rnf :: CreateDatasetImportJobResponse -> () #
Eq CreateDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods (==) :: CreateDatasetImportJobResponse -> CreateDatasetImportJobResponse -> Bool # (/=) :: CreateDatasetImportJobResponse -> CreateDatasetImportJobResponse -> Bool #
type Rep CreateDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob type Rep CreateDatasetImportJobResponse = D1 ('MetaData "CreateDatasetImportJobResponse" "Amazonka.Forecast.CreateDatasetImportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateDatasetImportJobResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetImportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateDatasetImportJobResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateDatasetImportJobResponse'`
-> CreateDatasetImportJobResponse

Create a value of CreateDatasetImportJobResponse 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:

CreateDatasetImportJobResponse, createDatasetImportJobResponse_datasetImportJobArn - The Amazon Resource Name (ARN) of the dataset import job.

$sel:httpStatus:CreateDatasetImportJobResponse', createDatasetImportJobResponse_httpStatus - The response's http status code.

CreateExplainability

data CreateExplainability Source #

See: newCreateExplainability smart constructor.

Constructors

CreateExplainability' (Maybe DataSource) (Maybe Bool) (Maybe Text) (Maybe Schema) (Maybe Text) (Maybe [Tag]) Text Text ExplainabilityConfig

Instances

Instances details

ToJSON CreateExplainability Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Methods toJSON :: CreateExplainability -> Value # toEncoding :: CreateExplainability -> Encoding # toJSONList :: [CreateExplainability] -> Value # toEncodingList :: [CreateExplainability] -> Encoding #
ToHeaders CreateExplainability Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Methods toHeaders :: CreateExplainability -> [Header] #
ToPath CreateExplainability Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Methods toPath :: CreateExplainability -> ByteString #
ToQuery CreateExplainability Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Methods toQuery :: CreateExplainability -> QueryString #
AWSRequest CreateExplainability Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Associated Types type AWSResponse CreateExplainability # Methods request :: (Service -> Service) -> CreateExplainability -> Request CreateExplainability # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateExplainability -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateExplainability))) #
Generic CreateExplainability Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Associated Types type Rep CreateExplainability :: Type -> Type # Methods from :: CreateExplainability -> Rep CreateExplainability x # to :: Rep CreateExplainability x -> CreateExplainability #
Show CreateExplainability Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Methods showsPrec :: Int -> CreateExplainability -> ShowS # show :: CreateExplainability -> String # showList :: [CreateExplainability] -> ShowS #
NFData CreateExplainability Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Methods rnf :: CreateExplainability -> () #
Eq CreateExplainability Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Methods (==) :: CreateExplainability -> CreateExplainability -> Bool # (/=) :: CreateExplainability -> CreateExplainability -> Bool #
Hashable CreateExplainability Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Methods hashWithSalt :: Int -> CreateExplainability -> Int # hash :: CreateExplainability -> Int #
type AWSResponse CreateExplainability Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability type AWSResponse CreateExplainability = CreateExplainabilityResponse
type Rep CreateExplainability Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability type Rep CreateExplainability = D1 ('MetaData "CreateExplainability" "Amazonka.Forecast.CreateExplainability" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateExplainability'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataSource)) :: S1 ('MetaSel ('Just "enableVisualization") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))) :: (S1 ('MetaSel ('Just "endDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "schema") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Schema)))) :: ((S1 ('MetaSel ('Just "startDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))) :: (S1 ('MetaSel ('Just "explainabilityName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "explainabilityConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ExplainabilityConfig))))))

newCreateExplainability Source #

Arguments

:: Text	`CreateExplainability`
-> Text	`CreateExplainability`
-> ExplainabilityConfig	`CreateExplainability`
-> CreateExplainability

Create a value of CreateExplainability 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:

CreateExplainability, createExplainability_dataSource - Undocumented member.

$sel:enableVisualization:CreateExplainability', createExplainability_enableVisualization - Create an Explainability visualization that is viewable within the AWS console.

$sel:endDateTime:CreateExplainability', createExplainability_endDateTime - If TimePointGranularity is set to SPECIFIC, define the last time point for the Explainability.

Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

CreateExplainability, createExplainability_schema - Undocumented member.

$sel:startDateTime:CreateExplainability', createExplainability_startDateTime - If TimePointGranularity is set to SPECIFIC, define the first point for the Explainability.

Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

$sel:tags:CreateExplainability', createExplainability_tags - Optional metadata to help you categorize and organize your resources. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.

The following restrictions apply to tags:

For each resource, each tag key must be unique and each tag key must have one value.
Maximum number of tags per resource: 50.
Maximum key length: 128 Unicode characters in UTF-8.
Maximum value length: 256 Unicode characters in UTF-8.
Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.
Key prefixes cannot include any upper or lowercase combination of aws: or AWS:. Values can have this prefix. If a tag value has aws as its prefix but the key does not, Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit. You cannot edit or delete tag keys with this prefix.

CreateExplainability, createExplainability_explainabilityName - A unique name for the Explainability.

CreateExplainability, createExplainability_resourceArn - The Amazon Resource Name (ARN) of the Predictor or Forecast used to create the Explainability.

CreateExplainability, createExplainability_explainabilityConfig - The configuration settings that define the granularity of time series and time points for the Explainability.

data CreateExplainabilityResponse Source #

See: newCreateExplainabilityResponse smart constructor.

Constructors

CreateExplainabilityResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Associated Types type Rep CreateExplainabilityResponse :: Type -> Type # Methods from :: CreateExplainabilityResponse -> Rep CreateExplainabilityResponse x # to :: Rep CreateExplainabilityResponse x -> CreateExplainabilityResponse #
Read CreateExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Methods readsPrec :: Int -> ReadS CreateExplainabilityResponse # readList :: ReadS [CreateExplainabilityResponse] # readPrec :: ReadPrec CreateExplainabilityResponse # readListPrec :: ReadPrec [CreateExplainabilityResponse] #
Show CreateExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Methods showsPrec :: Int -> CreateExplainabilityResponse -> ShowS # show :: CreateExplainabilityResponse -> String # showList :: [CreateExplainabilityResponse] -> ShowS #
NFData CreateExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Methods rnf :: CreateExplainabilityResponse -> () #
Eq CreateExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability Methods (==) :: CreateExplainabilityResponse -> CreateExplainabilityResponse -> Bool # (/=) :: CreateExplainabilityResponse -> CreateExplainabilityResponse -> Bool #
type Rep CreateExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.CreateExplainability type Rep CreateExplainabilityResponse = D1 ('MetaData "CreateExplainabilityResponse" "Amazonka.Forecast.CreateExplainability" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateExplainabilityResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "explainabilityArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateExplainabilityResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateExplainabilityResponse'`
-> CreateExplainabilityResponse

Create a value of CreateExplainabilityResponse 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:

CreateExplainabilityResponse, createExplainabilityResponse_explainabilityArn - The Amazon Resource Name (ARN) of the Explainability.

$sel:httpStatus:CreateExplainabilityResponse', createExplainabilityResponse_httpStatus - The response's http status code.

CreateExplainabilityExport

data CreateExplainabilityExport Source #

See: newCreateExplainabilityExport smart constructor.

Constructors

CreateExplainabilityExport' (Maybe Text) (Maybe [Tag]) Text Text DataDestination

Instances

Instances details

ToJSON CreateExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Methods toJSON :: CreateExplainabilityExport -> Value # toEncoding :: CreateExplainabilityExport -> Encoding # toJSONList :: [CreateExplainabilityExport] -> Value # toEncodingList :: [CreateExplainabilityExport] -> Encoding #
ToHeaders CreateExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Methods toHeaders :: CreateExplainabilityExport -> [Header] #
ToPath CreateExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Methods toPath :: CreateExplainabilityExport -> ByteString #
ToQuery CreateExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Methods toQuery :: CreateExplainabilityExport -> QueryString #
AWSRequest CreateExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Associated Types type AWSResponse CreateExplainabilityExport # Methods request :: (Service -> Service) -> CreateExplainabilityExport -> Request CreateExplainabilityExport # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateExplainabilityExport -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateExplainabilityExport))) #
Generic CreateExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Associated Types type Rep CreateExplainabilityExport :: Type -> Type # Methods from :: CreateExplainabilityExport -> Rep CreateExplainabilityExport x # to :: Rep CreateExplainabilityExport x -> CreateExplainabilityExport #
Show CreateExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Methods showsPrec :: Int -> CreateExplainabilityExport -> ShowS # show :: CreateExplainabilityExport -> String # showList :: [CreateExplainabilityExport] -> ShowS #
NFData CreateExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Methods rnf :: CreateExplainabilityExport -> () #
Eq CreateExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Methods (==) :: CreateExplainabilityExport -> CreateExplainabilityExport -> Bool # (/=) :: CreateExplainabilityExport -> CreateExplainabilityExport -> Bool #
Hashable CreateExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Methods hashWithSalt :: Int -> CreateExplainabilityExport -> Int # hash :: CreateExplainabilityExport -> Int #
type AWSResponse CreateExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport type AWSResponse CreateExplainabilityExport = CreateExplainabilityExportResponse
type Rep CreateExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport type Rep CreateExplainabilityExport = D1 ('MetaData "CreateExplainabilityExport" "Amazonka.Forecast.CreateExplainabilityExport" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateExplainabilityExport'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))) :: (S1 ('MetaSel ('Just "explainabilityExportName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "explainabilityArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DataDestination)))))

newCreateExplainabilityExport Source #

Arguments

:: Text	`CreateExplainabilityExport`
-> Text	`CreateExplainabilityExport`
-> DataDestination	`CreateExplainabilityExport`
-> CreateExplainabilityExport

Create a value of CreateExplainabilityExport 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:

CreateExplainabilityExport, createExplainabilityExport_format - The format of the exported data, CSV or PARQUET.

$sel:tags:CreateExplainabilityExport', createExplainabilityExport_tags - Optional metadata to help you categorize and organize your resources. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.

The following restrictions apply to tags:

For each resource, each tag key must be unique and each tag key must have one value.
Maximum number of tags per resource: 50.
Maximum key length: 128 Unicode characters in UTF-8.
Maximum value length: 256 Unicode characters in UTF-8.
Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.
Key prefixes cannot include any upper or lowercase combination of aws: or AWS:. Values can have this prefix. If a tag value has aws as its prefix but the key does not, Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit. You cannot edit or delete tag keys with this prefix.

CreateExplainabilityExport, createExplainabilityExport_explainabilityExportName - A unique name for the Explainability export.

CreateExplainabilityExport, createExplainabilityExport_explainabilityArn - The Amazon Resource Name (ARN) of the Explainability to export.

CreateExplainabilityExport, createExplainabilityExport_destination - Undocumented member.

data CreateExplainabilityExportResponse Source #

See: newCreateExplainabilityExportResponse smart constructor.

Constructors

CreateExplainabilityExportResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Associated Types type Rep CreateExplainabilityExportResponse :: Type -> Type # Methods from :: CreateExplainabilityExportResponse -> Rep CreateExplainabilityExportResponse x # to :: Rep CreateExplainabilityExportResponse x -> CreateExplainabilityExportResponse #
Read CreateExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Methods readsPrec :: Int -> ReadS CreateExplainabilityExportResponse # readList :: ReadS [CreateExplainabilityExportResponse] # readPrec :: ReadPrec CreateExplainabilityExportResponse # readListPrec :: ReadPrec [CreateExplainabilityExportResponse] #
Show CreateExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Methods showsPrec :: Int -> CreateExplainabilityExportResponse -> ShowS # show :: CreateExplainabilityExportResponse -> String # showList :: [CreateExplainabilityExportResponse] -> ShowS #
NFData CreateExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Methods rnf :: CreateExplainabilityExportResponse -> () #
Eq CreateExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport Methods (==) :: CreateExplainabilityExportResponse -> CreateExplainabilityExportResponse -> Bool # (/=) :: CreateExplainabilityExportResponse -> CreateExplainabilityExportResponse -> Bool #
type Rep CreateExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.CreateExplainabilityExport type Rep CreateExplainabilityExportResponse = D1 ('MetaData "CreateExplainabilityExportResponse" "Amazonka.Forecast.CreateExplainabilityExport" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateExplainabilityExportResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "explainabilityExportArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateExplainabilityExportResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateExplainabilityExportResponse'`
-> CreateExplainabilityExportResponse

Create a value of CreateExplainabilityExportResponse 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:

CreateExplainabilityExportResponse, createExplainabilityExportResponse_explainabilityExportArn - The Amazon Resource Name (ARN) of the export.

$sel:httpStatus:CreateExplainabilityExportResponse', createExplainabilityExportResponse_httpStatus - The response's http status code.

CreateForecast

data CreateForecast Source #

See: newCreateForecast smart constructor.

Constructors

CreateForecast' (Maybe (NonEmpty Text)) (Maybe [Tag]) (Maybe TimeSeriesSelector) Text Text

Instances

Instances details

ToJSON CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods toJSON :: CreateForecast -> Value # toEncoding :: CreateForecast -> Encoding # toJSONList :: [CreateForecast] -> Value # toEncodingList :: [CreateForecast] -> Encoding #
ToHeaders CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods toHeaders :: CreateForecast -> [Header] #
ToPath CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods toPath :: CreateForecast -> ByteString #
ToQuery CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods toQuery :: CreateForecast -> QueryString #
AWSRequest CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Associated Types type AWSResponse CreateForecast # Methods request :: (Service -> Service) -> CreateForecast -> Request CreateForecast # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateForecast -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateForecast))) #
Generic CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Associated Types type Rep CreateForecast :: Type -> Type # Methods from :: CreateForecast -> Rep CreateForecast x # to :: Rep CreateForecast x -> CreateForecast #
Show CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods showsPrec :: Int -> CreateForecast -> ShowS # show :: CreateForecast -> String # showList :: [CreateForecast] -> ShowS #
NFData CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods rnf :: CreateForecast -> () #
Eq CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods (==) :: CreateForecast -> CreateForecast -> Bool # (/=) :: CreateForecast -> CreateForecast -> Bool #
Hashable CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods hashWithSalt :: Int -> CreateForecast -> Int # hash :: CreateForecast -> Int #
type AWSResponse CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast type AWSResponse CreateForecast = CreateForecastResponse
type Rep CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast type Rep CreateForecast = D1 ('MetaData "CreateForecast" "Amazonka.Forecast.CreateForecast" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateForecast'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "forecastTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))) :: (S1 ('MetaSel ('Just "timeSeriesSelector") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TimeSeriesSelector)) :: (S1 ('MetaSel ('Just "forecastName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newCreateForecast Source #

Arguments

:: Text	`CreateForecast`
-> Text	`CreateForecast`
-> CreateForecast

Create a value of CreateForecast 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:forecastTypes:CreateForecast', createForecast_forecastTypes - The quantiles at which probabilistic forecasts are generated. __You can currently specify up to 5 quantiles per forecast__. Accepted values include 0.01 to 0.99 (increments of .01 only) and mean. The mean forecast is different from the median (0.50) when the distribution is not symmetric (for example, Beta and Negative Binomial).

The default quantiles are the quantiles you specified during predictor creation. If you didn't specify quantiles, the default values are ["0.1", "0.5", "0.9"].

$sel:tags:CreateForecast', createForecast_tags - The optional metadata that you apply to the forecast to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

$sel:timeSeriesSelector:CreateForecast', createForecast_timeSeriesSelector - Defines the set of time series that are used to create the forecasts in a TimeSeriesIdentifiers object.

The TimeSeriesIdentifiers object needs the following information:

```
DataSource
```
```
Format
```
```
Schema
```

CreateForecast, createForecast_forecastName - A name for the forecast.

CreateForecast, createForecast_predictorArn - The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.

data CreateForecastResponse Source #

See: newCreateForecastResponse smart constructor.

Constructors

CreateForecastResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Associated Types type Rep CreateForecastResponse :: Type -> Type # Methods from :: CreateForecastResponse -> Rep CreateForecastResponse x # to :: Rep CreateForecastResponse x -> CreateForecastResponse #
Read CreateForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods readsPrec :: Int -> ReadS CreateForecastResponse # readList :: ReadS [CreateForecastResponse] # readPrec :: ReadPrec CreateForecastResponse # readListPrec :: ReadPrec [CreateForecastResponse] #
Show CreateForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods showsPrec :: Int -> CreateForecastResponse -> ShowS # show :: CreateForecastResponse -> String # showList :: [CreateForecastResponse] -> ShowS #
NFData CreateForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods rnf :: CreateForecastResponse -> () #
Eq CreateForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods (==) :: CreateForecastResponse -> CreateForecastResponse -> Bool # (/=) :: CreateForecastResponse -> CreateForecastResponse -> Bool #
type Rep CreateForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecast type Rep CreateForecastResponse = D1 ('MetaData "CreateForecastResponse" "Amazonka.Forecast.CreateForecast" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateForecastResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "forecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateForecastResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateForecastResponse'`
-> CreateForecastResponse

Create a value of CreateForecastResponse 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:

CreateForecastResponse, createForecastResponse_forecastArn - The Amazon Resource Name (ARN) of the forecast.

$sel:httpStatus:CreateForecastResponse', createForecastResponse_httpStatus - The response's http status code.

CreateForecastExportJob

data CreateForecastExportJob Source #

See: newCreateForecastExportJob smart constructor.

Constructors

CreateForecastExportJob' (Maybe Text) (Maybe [Tag]) Text Text DataDestination

Instances

Instances details

ToJSON CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods toJSON :: CreateForecastExportJob -> Value # toEncoding :: CreateForecastExportJob -> Encoding # toJSONList :: [CreateForecastExportJob] -> Value # toEncodingList :: [CreateForecastExportJob] -> Encoding #
ToHeaders CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods toHeaders :: CreateForecastExportJob -> [Header] #
ToPath CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods toPath :: CreateForecastExportJob -> ByteString #
ToQuery CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods toQuery :: CreateForecastExportJob -> QueryString #
AWSRequest CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Associated Types type AWSResponse CreateForecastExportJob # Methods request :: (Service -> Service) -> CreateForecastExportJob -> Request CreateForecastExportJob # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateForecastExportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateForecastExportJob))) #
Generic CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Associated Types type Rep CreateForecastExportJob :: Type -> Type # Methods from :: CreateForecastExportJob -> Rep CreateForecastExportJob x # to :: Rep CreateForecastExportJob x -> CreateForecastExportJob #
Show CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods showsPrec :: Int -> CreateForecastExportJob -> ShowS # show :: CreateForecastExportJob -> String # showList :: [CreateForecastExportJob] -> ShowS #
NFData CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods rnf :: CreateForecastExportJob -> () #
Eq CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods (==) :: CreateForecastExportJob -> CreateForecastExportJob -> Bool # (/=) :: CreateForecastExportJob -> CreateForecastExportJob -> Bool #
Hashable CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods hashWithSalt :: Int -> CreateForecastExportJob -> Int # hash :: CreateForecastExportJob -> Int #
type AWSResponse CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob type AWSResponse CreateForecastExportJob = CreateForecastExportJobResponse
type Rep CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob type Rep CreateForecastExportJob = D1 ('MetaData "CreateForecastExportJob" "Amazonka.Forecast.CreateForecastExportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateForecastExportJob'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))) :: (S1 ('MetaSel ('Just "forecastExportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "forecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DataDestination)))))

newCreateForecastExportJob Source #

Arguments

:: Text	`CreateForecastExportJob`
-> Text	`CreateForecastExportJob`
-> DataDestination	`CreateForecastExportJob`
-> CreateForecastExportJob

Create a value of CreateForecastExportJob 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:

CreateForecastExportJob, createForecastExportJob_format - The format of the exported data, CSV or PARQUET. The default value is CSV.

$sel:tags:CreateForecastExportJob', createForecastExportJob_tags - The optional metadata that you apply to the forecast export job to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

CreateForecastExportJob, createForecastExportJob_forecastExportJobName - The name for the forecast export job.

CreateForecastExportJob, createForecastExportJob_forecastArn - The Amazon Resource Name (ARN) of the forecast that you want to export.

CreateForecastExportJob, createForecastExportJob_destination - The location where you want to save the forecast and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the location. The forecast must be exported to an Amazon S3 bucket.

If encryption is used, Destination must include an AWS Key Management Service (KMS) key. The IAM role must allow Amazon Forecast permission to access the key.

data CreateForecastExportJobResponse Source #

See: newCreateForecastExportJobResponse smart constructor.

Constructors

CreateForecastExportJobResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Associated Types type Rep CreateForecastExportJobResponse :: Type -> Type # Methods from :: CreateForecastExportJobResponse -> Rep CreateForecastExportJobResponse x # to :: Rep CreateForecastExportJobResponse x -> CreateForecastExportJobResponse #
Read CreateForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods readsPrec :: Int -> ReadS CreateForecastExportJobResponse # readList :: ReadS [CreateForecastExportJobResponse] # readPrec :: ReadPrec CreateForecastExportJobResponse # readListPrec :: ReadPrec [CreateForecastExportJobResponse] #
Show CreateForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods showsPrec :: Int -> CreateForecastExportJobResponse -> ShowS # show :: CreateForecastExportJobResponse -> String # showList :: [CreateForecastExportJobResponse] -> ShowS #
NFData CreateForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods rnf :: CreateForecastExportJobResponse -> () #
Eq CreateForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods (==) :: CreateForecastExportJobResponse -> CreateForecastExportJobResponse -> Bool # (/=) :: CreateForecastExportJobResponse -> CreateForecastExportJobResponse -> Bool #
type Rep CreateForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob type Rep CreateForecastExportJobResponse = D1 ('MetaData "CreateForecastExportJobResponse" "Amazonka.Forecast.CreateForecastExportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateForecastExportJobResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "forecastExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateForecastExportJobResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateForecastExportJobResponse'`
-> CreateForecastExportJobResponse

Create a value of CreateForecastExportJobResponse 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:

CreateForecastExportJobResponse, createForecastExportJobResponse_forecastExportJobArn - The Amazon Resource Name (ARN) of the export job.

$sel:httpStatus:CreateForecastExportJobResponse', createForecastExportJobResponse_httpStatus - The response's http status code.

CreateMonitor

data CreateMonitor Source #

See: newCreateMonitor smart constructor.

Constructors

CreateMonitor' (Maybe [Tag]) Text Text

Instances

Instances details

ToJSON CreateMonitor Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Methods toJSON :: CreateMonitor -> Value # toEncoding :: CreateMonitor -> Encoding # toJSONList :: [CreateMonitor] -> Value # toEncodingList :: [CreateMonitor] -> Encoding #
ToHeaders CreateMonitor Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Methods toHeaders :: CreateMonitor -> [Header] #
ToPath CreateMonitor Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Methods toPath :: CreateMonitor -> ByteString #
ToQuery CreateMonitor Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Methods toQuery :: CreateMonitor -> QueryString #
AWSRequest CreateMonitor Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Associated Types type AWSResponse CreateMonitor # Methods request :: (Service -> Service) -> CreateMonitor -> Request CreateMonitor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateMonitor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateMonitor))) #
Generic CreateMonitor Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Associated Types type Rep CreateMonitor :: Type -> Type # Methods from :: CreateMonitor -> Rep CreateMonitor x # to :: Rep CreateMonitor x -> CreateMonitor #
Show CreateMonitor Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Methods showsPrec :: Int -> CreateMonitor -> ShowS # show :: CreateMonitor -> String # showList :: [CreateMonitor] -> ShowS #
NFData CreateMonitor Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Methods rnf :: CreateMonitor -> () #
Eq CreateMonitor Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Methods (==) :: CreateMonitor -> CreateMonitor -> Bool # (/=) :: CreateMonitor -> CreateMonitor -> Bool #
Hashable CreateMonitor Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Methods hashWithSalt :: Int -> CreateMonitor -> Int # hash :: CreateMonitor -> Int #
type AWSResponse CreateMonitor Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor type AWSResponse CreateMonitor = CreateMonitorResponse
type Rep CreateMonitor Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor type Rep CreateMonitor = D1 ('MetaData "CreateMonitor" "Amazonka.Forecast.CreateMonitor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateMonitor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :: (S1 ('MetaSel ('Just "monitorName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newCreateMonitor Source #

Arguments

:: Text	`CreateMonitor`
-> Text	`CreateMonitor`
-> CreateMonitor

Create a value of CreateMonitor 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:CreateMonitor', createMonitor_tags - A list of tags to apply to the monitor resource.

CreateMonitor, createMonitor_monitorName - The name of the monitor resource.

CreateMonitor, createMonitor_resourceArn - The Amazon Resource Name (ARN) of the predictor to monitor.

data CreateMonitorResponse Source #

See: newCreateMonitorResponse smart constructor.

Constructors

CreateMonitorResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Associated Types type Rep CreateMonitorResponse :: Type -> Type # Methods from :: CreateMonitorResponse -> Rep CreateMonitorResponse x # to :: Rep CreateMonitorResponse x -> CreateMonitorResponse #
Read CreateMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Methods readsPrec :: Int -> ReadS CreateMonitorResponse # readList :: ReadS [CreateMonitorResponse] # readPrec :: ReadPrec CreateMonitorResponse # readListPrec :: ReadPrec [CreateMonitorResponse] #
Show CreateMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Methods showsPrec :: Int -> CreateMonitorResponse -> ShowS # show :: CreateMonitorResponse -> String # showList :: [CreateMonitorResponse] -> ShowS #
NFData CreateMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Methods rnf :: CreateMonitorResponse -> () #
Eq CreateMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor Methods (==) :: CreateMonitorResponse -> CreateMonitorResponse -> Bool # (/=) :: CreateMonitorResponse -> CreateMonitorResponse -> Bool #
type Rep CreateMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.CreateMonitor type Rep CreateMonitorResponse = D1 ('MetaData "CreateMonitorResponse" "Amazonka.Forecast.CreateMonitor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateMonitorResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "monitorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateMonitorResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateMonitorResponse'`
-> CreateMonitorResponse

Create a value of CreateMonitorResponse 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:

CreateMonitorResponse, createMonitorResponse_monitorArn - The Amazon Resource Name (ARN) of the monitor resource.

$sel:httpStatus:CreateMonitorResponse', createMonitorResponse_httpStatus - The response's http status code.

CreatePredictor

data CreatePredictor Source #

See: newCreatePredictor smart constructor.

Constructors

CreatePredictor' (Maybe Text) (Maybe AutoMLOverrideStrategy) (Maybe EncryptionConfig) (Maybe EvaluationParameters) (Maybe (NonEmpty Text)) (Maybe HyperParameterTuningJobConfig) (Maybe OptimizationMetric) (Maybe Bool) (Maybe Bool) (Maybe [Tag]) (Maybe (HashMap Text Text)) Text Int InputDataConfig FeaturizationConfig

Instances

Instances details

ToJSON CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods toJSON :: CreatePredictor -> Value # toEncoding :: CreatePredictor -> Encoding # toJSONList :: [CreatePredictor] -> Value # toEncodingList :: [CreatePredictor] -> Encoding #
ToHeaders CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods toHeaders :: CreatePredictor -> [Header] #
ToPath CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods toPath :: CreatePredictor -> ByteString #
ToQuery CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods toQuery :: CreatePredictor -> QueryString #
AWSRequest CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Associated Types type AWSResponse CreatePredictor # Methods request :: (Service -> Service) -> CreatePredictor -> Request CreatePredictor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreatePredictor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreatePredictor))) #
Generic CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Associated Types type Rep CreatePredictor :: Type -> Type # Methods from :: CreatePredictor -> Rep CreatePredictor x # to :: Rep CreatePredictor x -> CreatePredictor #
Show CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods showsPrec :: Int -> CreatePredictor -> ShowS # show :: CreatePredictor -> String # showList :: [CreatePredictor] -> ShowS #
NFData CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods rnf :: CreatePredictor -> () #
Eq CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods (==) :: CreatePredictor -> CreatePredictor -> Bool # (/=) :: CreatePredictor -> CreatePredictor -> Bool #
Hashable CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods hashWithSalt :: Int -> CreatePredictor -> Int # hash :: CreatePredictor -> Int #
type AWSResponse CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor type AWSResponse CreatePredictor = CreatePredictorResponse
type Rep CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor type Rep CreatePredictor = D1 ('MetaData "CreatePredictor" "Amazonka.Forecast.CreatePredictor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreatePredictor'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "algorithmArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "autoMLOverrideStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLOverrideStrategy)) :: S1 ('MetaSel ('Just "encryptionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EncryptionConfig)))) :: ((S1 ('MetaSel ('Just "evaluationParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EvaluationParameters)) :: S1 ('MetaSel ('Just "forecastTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text)))) :: (S1 ('MetaSel ('Just "hPOConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobConfig)) :: S1 ('MetaSel ('Just "optimizationMetric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OptimizationMetric))))) :: (((S1 ('MetaSel ('Just "performAutoML") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "performHPO") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))) :: (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :: S1 ('MetaSel ('Just "trainingParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))))) :: ((S1 ('MetaSel ('Just "predictorName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "forecastHorizon") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)) :: (S1 ('MetaSel ('Just "inputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 InputDataConfig) :: S1 ('MetaSel ('Just "featurizationConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 FeaturizationConfig))))))

newCreatePredictor Source #

Arguments

:: Text	`CreatePredictor`
-> Int	`$sel:forecastHorizon:CreatePredictor'`
-> InputDataConfig	`$sel:inputDataConfig:CreatePredictor'`
-> FeaturizationConfig	`$sel:featurizationConfig:CreatePredictor'`
-> CreatePredictor

Create a value of CreatePredictor 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:

CreatePredictor, createPredictor_algorithmArn - The Amazon Resource Name (ARN) of the algorithm to use for model training. Required if PerformAutoML is not set to true.

Supported algorithms:

```
arn:aws:forecast:::algorithm/ARIMA
```
```
arn:aws:forecast:::algorithm/CNN-QR
```

arn:aws:forecast:::algorithm/Deep_AR_Plus

```
arn:aws:forecast:::algorithm/ETS
```
```
arn:aws:forecast:::algorithm/NPTS
```
```
arn:aws:forecast:::algorithm/Prophet
```

$sel:autoMLOverrideStrategy:CreatePredictor', createPredictor_autoMLOverrideStrategy - The LatencyOptimized AutoML override strategy is only available in private beta. Contact AWS Support or your account manager to learn more about access privileges.

Used to overide the default AutoML strategy, which is to optimize predictor accuracy. To apply an AutoML strategy that minimizes training time, use LatencyOptimized.

This parameter is only valid for predictors trained using AutoML.

$sel:encryptionConfig:CreatePredictor', createPredictor_encryptionConfig - An AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.

$sel:evaluationParameters:CreatePredictor', createPredictor_evaluationParameters - Used to override the default evaluation parameters of the specified algorithm. Amazon Forecast evaluates a predictor by splitting a dataset into training data and testing data. The evaluation parameters define how to perform the split and the number of iterations.

$sel:forecastTypes:CreatePredictor', createPredictor_forecastTypes - Specifies the forecast types used to train a predictor. You can specify up to five forecast types. Forecast types can be quantiles from 0.01 to 0.99, by increments of 0.01 or higher. You can also specify the mean forecast with mean.

The default value is ["0.10", "0.50", "0.9"].

$sel:hPOConfig:CreatePredictor', createPredictor_hPOConfig - Provides hyperparameter override values for the algorithm. If you don't provide this parameter, Amazon Forecast uses default values. The individual algorithms specify which hyperparameters support hyperparameter optimization (HPO). For more information, see aws-forecast-choosing-recipes.

If you included the HPOConfig object, you must set PerformHPO to true.

$sel:optimizationMetric:CreatePredictor', createPredictor_optimizationMetric - The accuracy metric used to optimize the predictor.

$sel:performAutoML:CreatePredictor', createPredictor_performAutoML - Whether to perform AutoML. When Amazon Forecast performs AutoML, it evaluates the algorithms it provides and chooses the best algorithm and configuration for your training dataset.

The default value is false. In this case, you are required to specify an algorithm.

Set PerformAutoML to true to have Amazon Forecast perform AutoML. This is a good option if you aren't sure which algorithm is suitable for your training data. In this case, PerformHPO must be false.

$sel:performHPO:CreatePredictor', createPredictor_performHPO - Whether to perform hyperparameter optimization (HPO). HPO finds optimal hyperparameter values for your training data. The process of performing HPO is known as running a hyperparameter tuning job.

The default value is false. In this case, Amazon Forecast uses default hyperparameter values from the chosen algorithm.

To override the default values, set PerformHPO to true and, optionally, supply the HyperParameterTuningJobConfig object. The tuning job specifies a metric to optimize, which hyperparameters participate in tuning, and the valid range for each tunable hyperparameter. In this case, you are required to specify an algorithm and PerformAutoML must be false.

The following algorithms support HPO:

DeepAR+
CNN-QR

$sel:tags:CreatePredictor', createPredictor_tags - The optional metadata that you apply to the predictor to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

$sel:trainingParameters:CreatePredictor', createPredictor_trainingParameters - The hyperparameters to override for model training. The hyperparameters that you can override are listed in the individual algorithms. For the list of supported algorithms, see aws-forecast-choosing-recipes.

CreatePredictor, createPredictor_predictorName - A name for the predictor.

$sel:forecastHorizon:CreatePredictor', createPredictor_forecastHorizon - Specifies the number of time-steps that the model is trained to predict. The forecast horizon is also called the prediction length.

For example, if you configure a dataset for daily data collection (using the DataFrequency parameter of the CreateDataset operation) and set the forecast horizon to 10, the model returns predictions for 10 days.

The maximum forecast horizon is the lesser of 500 time-steps or 1/3 of the TARGET_TIME_SERIES dataset length.

$sel:inputDataConfig:CreatePredictor', createPredictor_inputDataConfig - Describes the dataset group that contains the data to use to train the predictor.

$sel:featurizationConfig:CreatePredictor', createPredictor_featurizationConfig - The featurization configuration.

data CreatePredictorResponse Source #

See: newCreatePredictorResponse smart constructor.

Constructors

CreatePredictorResponse' (Maybe Text) Int

Instances

Instances details

Generic CreatePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Associated Types type Rep CreatePredictorResponse :: Type -> Type # Methods from :: CreatePredictorResponse -> Rep CreatePredictorResponse x # to :: Rep CreatePredictorResponse x -> CreatePredictorResponse #
Read CreatePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods readsPrec :: Int -> ReadS CreatePredictorResponse # readList :: ReadS [CreatePredictorResponse] # readPrec :: ReadPrec CreatePredictorResponse # readListPrec :: ReadPrec [CreatePredictorResponse] #
Show CreatePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods showsPrec :: Int -> CreatePredictorResponse -> ShowS # show :: CreatePredictorResponse -> String # showList :: [CreatePredictorResponse] -> ShowS #
NFData CreatePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods rnf :: CreatePredictorResponse -> () #
Eq CreatePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods (==) :: CreatePredictorResponse -> CreatePredictorResponse -> Bool # (/=) :: CreatePredictorResponse -> CreatePredictorResponse -> Bool #
type Rep CreatePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor type Rep CreatePredictorResponse = D1 ('MetaData "CreatePredictorResponse" "Amazonka.Forecast.CreatePredictor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreatePredictorResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreatePredictorResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreatePredictorResponse'`
-> CreatePredictorResponse

Create a value of CreatePredictorResponse 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:

CreatePredictorResponse, createPredictorResponse_predictorArn - The Amazon Resource Name (ARN) of the predictor.

$sel:httpStatus:CreatePredictorResponse', createPredictorResponse_httpStatus - The response's http status code.

CreatePredictorBacktestExportJob

data CreatePredictorBacktestExportJob Source #

See: newCreatePredictorBacktestExportJob smart constructor.

Constructors

CreatePredictorBacktestExportJob' (Maybe Text) (Maybe [Tag]) Text Text DataDestination

Instances

Instances details

ToJSON CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods toJSON :: CreatePredictorBacktestExportJob -> Value # toEncoding :: CreatePredictorBacktestExportJob -> Encoding # toJSONList :: [CreatePredictorBacktestExportJob] -> Value # toEncodingList :: [CreatePredictorBacktestExportJob] -> Encoding #
ToHeaders CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods toHeaders :: CreatePredictorBacktestExportJob -> [Header] #
ToPath CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods toPath :: CreatePredictorBacktestExportJob -> ByteString #
ToQuery CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods toQuery :: CreatePredictorBacktestExportJob -> QueryString #
AWSRequest CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Associated Types type AWSResponse CreatePredictorBacktestExportJob # Methods request :: (Service -> Service) -> CreatePredictorBacktestExportJob -> Request CreatePredictorBacktestExportJob # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreatePredictorBacktestExportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreatePredictorBacktestExportJob))) #
Generic CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Associated Types type Rep CreatePredictorBacktestExportJob :: Type -> Type # Methods from :: CreatePredictorBacktestExportJob -> Rep CreatePredictorBacktestExportJob x # to :: Rep CreatePredictorBacktestExportJob x -> CreatePredictorBacktestExportJob #
Show CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods showsPrec :: Int -> CreatePredictorBacktestExportJob -> ShowS # show :: CreatePredictorBacktestExportJob -> String # showList :: [CreatePredictorBacktestExportJob] -> ShowS #
NFData CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods rnf :: CreatePredictorBacktestExportJob -> () #
Eq CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods (==) :: CreatePredictorBacktestExportJob -> CreatePredictorBacktestExportJob -> Bool # (/=) :: CreatePredictorBacktestExportJob -> CreatePredictorBacktestExportJob -> Bool #
Hashable CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods hashWithSalt :: Int -> CreatePredictorBacktestExportJob -> Int # hash :: CreatePredictorBacktestExportJob -> Int #
type AWSResponse CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob type AWSResponse CreatePredictorBacktestExportJob = CreatePredictorBacktestExportJobResponse
type Rep CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob type Rep CreatePredictorBacktestExportJob = D1 ('MetaData "CreatePredictorBacktestExportJob" "Amazonka.Forecast.CreatePredictorBacktestExportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreatePredictorBacktestExportJob'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))) :: (S1 ('MetaSel ('Just "predictorBacktestExportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DataDestination)))))

newCreatePredictorBacktestExportJob Source #

Arguments

:: Text	`CreatePredictorBacktestExportJob`
-> Text	`CreatePredictorBacktestExportJob`
-> DataDestination	`CreatePredictorBacktestExportJob`
-> CreatePredictorBacktestExportJob

Create a value of CreatePredictorBacktestExportJob 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:

CreatePredictorBacktestExportJob, createPredictorBacktestExportJob_format - The format of the exported data, CSV or PARQUET. The default value is CSV.

$sel:tags:CreatePredictorBacktestExportJob', createPredictorBacktestExportJob_tags - Optional metadata to help you categorize and organize your backtests. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.

The following restrictions apply to tags:

For each resource, each tag key must be unique and each tag key must have one value.
Maximum number of tags per resource: 50.
Maximum key length: 128 Unicode characters in UTF-8.
Maximum value length: 256 Unicode characters in UTF-8.
Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.
Key prefixes cannot include any upper or lowercase combination of aws: or AWS:. Values can have this prefix. If a tag value has aws as its prefix but the key does not, Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit. You cannot edit or delete tag keys with this prefix.

CreatePredictorBacktestExportJob, createPredictorBacktestExportJob_predictorBacktestExportJobName - The name for the backtest export job.

CreatePredictorBacktestExportJob, createPredictorBacktestExportJob_predictorArn - The Amazon Resource Name (ARN) of the predictor that you want to export.

CreatePredictorBacktestExportJob, createPredictorBacktestExportJob_destination - Undocumented member.

data CreatePredictorBacktestExportJobResponse Source #

See: newCreatePredictorBacktestExportJobResponse smart constructor.

Constructors

CreatePredictorBacktestExportJobResponse' (Maybe Text) Int

Instances

Instances details

Generic CreatePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Associated Types type Rep CreatePredictorBacktestExportJobResponse :: Type -> Type # Methods from :: CreatePredictorBacktestExportJobResponse -> Rep CreatePredictorBacktestExportJobResponse x # to :: Rep CreatePredictorBacktestExportJobResponse x -> CreatePredictorBacktestExportJobResponse #
Read CreatePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods readsPrec :: Int -> ReadS CreatePredictorBacktestExportJobResponse # readList :: ReadS [CreatePredictorBacktestExportJobResponse] # readPrec :: ReadPrec CreatePredictorBacktestExportJobResponse # readListPrec :: ReadPrec [CreatePredictorBacktestExportJobResponse] #
Show CreatePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods showsPrec :: Int -> CreatePredictorBacktestExportJobResponse -> ShowS # show :: CreatePredictorBacktestExportJobResponse -> String # showList :: [CreatePredictorBacktestExportJobResponse] -> ShowS #
NFData CreatePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods rnf :: CreatePredictorBacktestExportJobResponse -> () #
Eq CreatePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods (==) :: CreatePredictorBacktestExportJobResponse -> CreatePredictorBacktestExportJobResponse -> Bool # (/=) :: CreatePredictorBacktestExportJobResponse -> CreatePredictorBacktestExportJobResponse -> Bool #
type Rep CreatePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob type Rep CreatePredictorBacktestExportJobResponse = D1 ('MetaData "CreatePredictorBacktestExportJobResponse" "Amazonka.Forecast.CreatePredictorBacktestExportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreatePredictorBacktestExportJobResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorBacktestExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreatePredictorBacktestExportJobResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreatePredictorBacktestExportJobResponse'`
-> CreatePredictorBacktestExportJobResponse

Create a value of CreatePredictorBacktestExportJobResponse 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:

CreatePredictorBacktestExportJobResponse, createPredictorBacktestExportJobResponse_predictorBacktestExportJobArn - The Amazon Resource Name (ARN) of the predictor backtest export job that you want to export.

$sel:httpStatus:CreatePredictorBacktestExportJobResponse', createPredictorBacktestExportJobResponse_httpStatus - The response's http status code.

CreateWhatIfAnalysis

data CreateWhatIfAnalysis Source #

See: newCreateWhatIfAnalysis smart constructor.

Constructors

CreateWhatIfAnalysis' (Maybe [Tag]) (Maybe TimeSeriesSelector) Text Text

Instances

Instances details

ToJSON CreateWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Methods toJSON :: CreateWhatIfAnalysis -> Value # toEncoding :: CreateWhatIfAnalysis -> Encoding # toJSONList :: [CreateWhatIfAnalysis] -> Value # toEncodingList :: [CreateWhatIfAnalysis] -> Encoding #
ToHeaders CreateWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Methods toHeaders :: CreateWhatIfAnalysis -> [Header] #
ToPath CreateWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Methods toPath :: CreateWhatIfAnalysis -> ByteString #
ToQuery CreateWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Methods toQuery :: CreateWhatIfAnalysis -> QueryString #
AWSRequest CreateWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Associated Types type AWSResponse CreateWhatIfAnalysis # Methods request :: (Service -> Service) -> CreateWhatIfAnalysis -> Request CreateWhatIfAnalysis # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateWhatIfAnalysis -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateWhatIfAnalysis))) #
Generic CreateWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Associated Types type Rep CreateWhatIfAnalysis :: Type -> Type # Methods from :: CreateWhatIfAnalysis -> Rep CreateWhatIfAnalysis x # to :: Rep CreateWhatIfAnalysis x -> CreateWhatIfAnalysis #
Show CreateWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Methods showsPrec :: Int -> CreateWhatIfAnalysis -> ShowS # show :: CreateWhatIfAnalysis -> String # showList :: [CreateWhatIfAnalysis] -> ShowS #
NFData CreateWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Methods rnf :: CreateWhatIfAnalysis -> () #
Eq CreateWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Methods (==) :: CreateWhatIfAnalysis -> CreateWhatIfAnalysis -> Bool # (/=) :: CreateWhatIfAnalysis -> CreateWhatIfAnalysis -> Bool #
Hashable CreateWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Methods hashWithSalt :: Int -> CreateWhatIfAnalysis -> Int # hash :: CreateWhatIfAnalysis -> Int #
type AWSResponse CreateWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis type AWSResponse CreateWhatIfAnalysis = CreateWhatIfAnalysisResponse
type Rep CreateWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis type Rep CreateWhatIfAnalysis = D1 ('MetaData "CreateWhatIfAnalysis" "Amazonka.Forecast.CreateWhatIfAnalysis" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateWhatIfAnalysis'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :: S1 ('MetaSel ('Just "timeSeriesSelector") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TimeSeriesSelector))) :: (S1 ('MetaSel ('Just "whatIfAnalysisName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "forecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newCreateWhatIfAnalysis Source #

Arguments

:: Text	`CreateWhatIfAnalysis`
-> Text	`CreateWhatIfAnalysis`
-> CreateWhatIfAnalysis

Create a value of CreateWhatIfAnalysis 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:CreateWhatIfAnalysis', createWhatIfAnalysis_tags - A list of tags to apply to the what if forecast.

$sel:timeSeriesSelector:CreateWhatIfAnalysis', createWhatIfAnalysis_timeSeriesSelector - Defines the set of time series that are used in the what-if analysis with a TimeSeriesIdentifiers object. What-if analyses are performed only for the time series in this object.

The TimeSeriesIdentifiers object needs the following information:

```
DataSource
```
```
Format
```
```
Schema
```

CreateWhatIfAnalysis, createWhatIfAnalysis_whatIfAnalysisName - The name of the what-if analysis. Each name must be unique.

CreateWhatIfAnalysis, createWhatIfAnalysis_forecastArn - The Amazon Resource Name (ARN) of the baseline forecast.

data CreateWhatIfAnalysisResponse Source #

See: newCreateWhatIfAnalysisResponse smart constructor.

Constructors

CreateWhatIfAnalysisResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Associated Types type Rep CreateWhatIfAnalysisResponse :: Type -> Type # Methods from :: CreateWhatIfAnalysisResponse -> Rep CreateWhatIfAnalysisResponse x # to :: Rep CreateWhatIfAnalysisResponse x -> CreateWhatIfAnalysisResponse #
Read CreateWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Methods readsPrec :: Int -> ReadS CreateWhatIfAnalysisResponse # readList :: ReadS [CreateWhatIfAnalysisResponse] # readPrec :: ReadPrec CreateWhatIfAnalysisResponse # readListPrec :: ReadPrec [CreateWhatIfAnalysisResponse] #
Show CreateWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Methods showsPrec :: Int -> CreateWhatIfAnalysisResponse -> ShowS # show :: CreateWhatIfAnalysisResponse -> String # showList :: [CreateWhatIfAnalysisResponse] -> ShowS #
NFData CreateWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Methods rnf :: CreateWhatIfAnalysisResponse -> () #
Eq CreateWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis Methods (==) :: CreateWhatIfAnalysisResponse -> CreateWhatIfAnalysisResponse -> Bool # (/=) :: CreateWhatIfAnalysisResponse -> CreateWhatIfAnalysisResponse -> Bool #
type Rep CreateWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfAnalysis type Rep CreateWhatIfAnalysisResponse = D1 ('MetaData "CreateWhatIfAnalysisResponse" "Amazonka.Forecast.CreateWhatIfAnalysis" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateWhatIfAnalysisResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "whatIfAnalysisArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateWhatIfAnalysisResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateWhatIfAnalysisResponse'`
-> CreateWhatIfAnalysisResponse

Create a value of CreateWhatIfAnalysisResponse 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:

CreateWhatIfAnalysisResponse, createWhatIfAnalysisResponse_whatIfAnalysisArn - The Amazon Resource Name (ARN) of the what-if analysis.

$sel:httpStatus:CreateWhatIfAnalysisResponse', createWhatIfAnalysisResponse_httpStatus - The response's http status code.

CreateWhatIfForecast

data CreateWhatIfForecast Source #

See: newCreateWhatIfForecast smart constructor.

Constructors

CreateWhatIfForecast' (Maybe [Tag]) (Maybe TimeSeriesReplacementsDataSource) (Maybe [TimeSeriesTransformation]) Text Text

Instances

Instances details

ToJSON CreateWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Methods toJSON :: CreateWhatIfForecast -> Value # toEncoding :: CreateWhatIfForecast -> Encoding # toJSONList :: [CreateWhatIfForecast] -> Value # toEncodingList :: [CreateWhatIfForecast] -> Encoding #
ToHeaders CreateWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Methods toHeaders :: CreateWhatIfForecast -> [Header] #
ToPath CreateWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Methods toPath :: CreateWhatIfForecast -> ByteString #
ToQuery CreateWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Methods toQuery :: CreateWhatIfForecast -> QueryString #
AWSRequest CreateWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Associated Types type AWSResponse CreateWhatIfForecast # Methods request :: (Service -> Service) -> CreateWhatIfForecast -> Request CreateWhatIfForecast # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateWhatIfForecast -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateWhatIfForecast))) #
Generic CreateWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Associated Types type Rep CreateWhatIfForecast :: Type -> Type # Methods from :: CreateWhatIfForecast -> Rep CreateWhatIfForecast x # to :: Rep CreateWhatIfForecast x -> CreateWhatIfForecast #
Show CreateWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Methods showsPrec :: Int -> CreateWhatIfForecast -> ShowS # show :: CreateWhatIfForecast -> String # showList :: [CreateWhatIfForecast] -> ShowS #
NFData CreateWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Methods rnf :: CreateWhatIfForecast -> () #
Eq CreateWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Methods (==) :: CreateWhatIfForecast -> CreateWhatIfForecast -> Bool # (/=) :: CreateWhatIfForecast -> CreateWhatIfForecast -> Bool #
Hashable CreateWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Methods hashWithSalt :: Int -> CreateWhatIfForecast -> Int # hash :: CreateWhatIfForecast -> Int #
type AWSResponse CreateWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast type AWSResponse CreateWhatIfForecast = CreateWhatIfForecastResponse
type Rep CreateWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast type Rep CreateWhatIfForecast = D1 ('MetaData "CreateWhatIfForecast" "Amazonka.Forecast.CreateWhatIfForecast" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateWhatIfForecast'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :: S1 ('MetaSel ('Just "timeSeriesReplacementsDataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TimeSeriesReplacementsDataSource))) :: (S1 ('MetaSel ('Just "timeSeriesTransformations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [TimeSeriesTransformation])) :: (S1 ('MetaSel ('Just "whatIfForecastName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "whatIfAnalysisArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newCreateWhatIfForecast Source #

Arguments

:: Text	`CreateWhatIfForecast`
-> Text	`CreateWhatIfForecast`
-> CreateWhatIfForecast

Create a value of CreateWhatIfForecast 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:CreateWhatIfForecast', createWhatIfForecast_tags - A list of tags to apply to the what if forecast.

$sel:timeSeriesReplacementsDataSource:CreateWhatIfForecast', createWhatIfForecast_timeSeriesReplacementsDataSource - The replacement time series dataset, which contains the rows that you want to change in the related time series dataset. A replacement time series does not need to contain all rows that are in the baseline related time series. Include only the rows (measure-dimension combinations) that you want to include in the what-if forecast. This dataset is merged with the original time series to create a transformed dataset that is used for the what-if analysis.

This dataset should contain the items to modify (such as item_id or workforce_type), any relevant dimensions, the timestamp column, and at least one of the related time series columns. This file should not contain duplicate timestamps for the same time series.

Timestamps and item_ids not included in this dataset are not included in the what-if analysis.

$sel:timeSeriesTransformations:CreateWhatIfForecast', createWhatIfForecast_timeSeriesTransformations - The transformations that are applied to the baseline time series. Each transformation contains an action and a set of conditions. An action is applied only when all conditions are met. If no conditions are provided, the action is applied to all items.

CreateWhatIfForecast, createWhatIfForecast_whatIfForecastName - The name of the what-if forecast. Names must be unique within each what-if analysis.

CreateWhatIfForecast, createWhatIfForecast_whatIfAnalysisArn - The Amazon Resource Name (ARN) of the what-if analysis.

data CreateWhatIfForecastResponse Source #

See: newCreateWhatIfForecastResponse smart constructor.

Constructors

CreateWhatIfForecastResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Associated Types type Rep CreateWhatIfForecastResponse :: Type -> Type # Methods from :: CreateWhatIfForecastResponse -> Rep CreateWhatIfForecastResponse x # to :: Rep CreateWhatIfForecastResponse x -> CreateWhatIfForecastResponse #
Read CreateWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Methods readsPrec :: Int -> ReadS CreateWhatIfForecastResponse # readList :: ReadS [CreateWhatIfForecastResponse] # readPrec :: ReadPrec CreateWhatIfForecastResponse # readListPrec :: ReadPrec [CreateWhatIfForecastResponse] #
Show CreateWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Methods showsPrec :: Int -> CreateWhatIfForecastResponse -> ShowS # show :: CreateWhatIfForecastResponse -> String # showList :: [CreateWhatIfForecastResponse] -> ShowS #
NFData CreateWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Methods rnf :: CreateWhatIfForecastResponse -> () #
Eq CreateWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast Methods (==) :: CreateWhatIfForecastResponse -> CreateWhatIfForecastResponse -> Bool # (/=) :: CreateWhatIfForecastResponse -> CreateWhatIfForecastResponse -> Bool #
type Rep CreateWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecast type Rep CreateWhatIfForecastResponse = D1 ('MetaData "CreateWhatIfForecastResponse" "Amazonka.Forecast.CreateWhatIfForecast" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateWhatIfForecastResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "whatIfForecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateWhatIfForecastResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateWhatIfForecastResponse'`
-> CreateWhatIfForecastResponse

Create a value of CreateWhatIfForecastResponse 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:

CreateWhatIfForecastResponse, createWhatIfForecastResponse_whatIfForecastArn - The Amazon Resource Name (ARN) of the what-if forecast.

$sel:httpStatus:CreateWhatIfForecastResponse', createWhatIfForecastResponse_httpStatus - The response's http status code.

CreateWhatIfForecastExport

data CreateWhatIfForecastExport Source #

See: newCreateWhatIfForecastExport smart constructor.

Constructors

CreateWhatIfForecastExport' (Maybe Text) (Maybe [Tag]) Text (NonEmpty Text) DataDestination

Instances

Instances details

ToJSON CreateWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Methods toJSON :: CreateWhatIfForecastExport -> Value # toEncoding :: CreateWhatIfForecastExport -> Encoding # toJSONList :: [CreateWhatIfForecastExport] -> Value # toEncodingList :: [CreateWhatIfForecastExport] -> Encoding #
ToHeaders CreateWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Methods toHeaders :: CreateWhatIfForecastExport -> [Header] #
ToPath CreateWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Methods toPath :: CreateWhatIfForecastExport -> ByteString #
ToQuery CreateWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Methods toQuery :: CreateWhatIfForecastExport -> QueryString #
AWSRequest CreateWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Associated Types type AWSResponse CreateWhatIfForecastExport # Methods request :: (Service -> Service) -> CreateWhatIfForecastExport -> Request CreateWhatIfForecastExport # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateWhatIfForecastExport -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateWhatIfForecastExport))) #
Generic CreateWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Associated Types type Rep CreateWhatIfForecastExport :: Type -> Type # Methods from :: CreateWhatIfForecastExport -> Rep CreateWhatIfForecastExport x # to :: Rep CreateWhatIfForecastExport x -> CreateWhatIfForecastExport #
Show CreateWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Methods showsPrec :: Int -> CreateWhatIfForecastExport -> ShowS # show :: CreateWhatIfForecastExport -> String # showList :: [CreateWhatIfForecastExport] -> ShowS #
NFData CreateWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Methods rnf :: CreateWhatIfForecastExport -> () #
Eq CreateWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Methods (==) :: CreateWhatIfForecastExport -> CreateWhatIfForecastExport -> Bool # (/=) :: CreateWhatIfForecastExport -> CreateWhatIfForecastExport -> Bool #
Hashable CreateWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Methods hashWithSalt :: Int -> CreateWhatIfForecastExport -> Int # hash :: CreateWhatIfForecastExport -> Int #
type AWSResponse CreateWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport type AWSResponse CreateWhatIfForecastExport = CreateWhatIfForecastExportResponse
type Rep CreateWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport type Rep CreateWhatIfForecastExport = D1 ('MetaData "CreateWhatIfForecastExport" "Amazonka.Forecast.CreateWhatIfForecastExport" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateWhatIfForecastExport'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))) :: (S1 ('MetaSel ('Just "whatIfForecastExportName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "whatIfForecastArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text)) :: S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DataDestination)))))

newCreateWhatIfForecastExport Source #

Arguments

:: Text	`CreateWhatIfForecastExport`
-> NonEmpty Text	`CreateWhatIfForecastExport`
-> DataDestination	`CreateWhatIfForecastExport`
-> CreateWhatIfForecastExport

Create a value of CreateWhatIfForecastExport 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:

CreateWhatIfForecastExport, createWhatIfForecastExport_format - The format of the exported data, CSV or PARQUET.

$sel:tags:CreateWhatIfForecastExport', createWhatIfForecastExport_tags - A list of tags to apply to the what if forecast.

CreateWhatIfForecastExport, createWhatIfForecastExport_whatIfForecastExportName - The name of the what-if forecast to export.

CreateWhatIfForecastExport, createWhatIfForecastExport_whatIfForecastArns - The list of what-if forecast Amazon Resource Names (ARNs) to export.

CreateWhatIfForecastExport, createWhatIfForecastExport_destination - The location where you want to save the forecast and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the location. The forecast must be exported to an Amazon S3 bucket.

If encryption is used, Destination must include an AWS Key Management Service (KMS) key. The IAM role must allow Amazon Forecast permission to access the key.

data CreateWhatIfForecastExportResponse Source #

See: newCreateWhatIfForecastExportResponse smart constructor.

Constructors

CreateWhatIfForecastExportResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Associated Types type Rep CreateWhatIfForecastExportResponse :: Type -> Type # Methods from :: CreateWhatIfForecastExportResponse -> Rep CreateWhatIfForecastExportResponse x # to :: Rep CreateWhatIfForecastExportResponse x -> CreateWhatIfForecastExportResponse #
Read CreateWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Methods readsPrec :: Int -> ReadS CreateWhatIfForecastExportResponse # readList :: ReadS [CreateWhatIfForecastExportResponse] # readPrec :: ReadPrec CreateWhatIfForecastExportResponse # readListPrec :: ReadPrec [CreateWhatIfForecastExportResponse] #
Show CreateWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Methods showsPrec :: Int -> CreateWhatIfForecastExportResponse -> ShowS # show :: CreateWhatIfForecastExportResponse -> String # showList :: [CreateWhatIfForecastExportResponse] -> ShowS #
NFData CreateWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Methods rnf :: CreateWhatIfForecastExportResponse -> () #
Eq CreateWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport Methods (==) :: CreateWhatIfForecastExportResponse -> CreateWhatIfForecastExportResponse -> Bool # (/=) :: CreateWhatIfForecastExportResponse -> CreateWhatIfForecastExportResponse -> Bool #
type Rep CreateWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.CreateWhatIfForecastExport type Rep CreateWhatIfForecastExportResponse = D1 ('MetaData "CreateWhatIfForecastExportResponse" "Amazonka.Forecast.CreateWhatIfForecastExport" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "CreateWhatIfForecastExportResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "whatIfForecastExportArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateWhatIfForecastExportResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateWhatIfForecastExportResponse'`
-> CreateWhatIfForecastExportResponse

Create a value of CreateWhatIfForecastExportResponse 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:

CreateWhatIfForecastExportResponse, createWhatIfForecastExportResponse_whatIfForecastExportArn - The Amazon Resource Name (ARN) of the what-if forecast.

$sel:httpStatus:CreateWhatIfForecastExportResponse', createWhatIfForecastExportResponse_httpStatus - The response's http status code.

DeleteDataset

data DeleteDataset Source #

See: newDeleteDataset smart constructor.

Constructors

DeleteDataset' Text

Instances

Instances details

ToJSON DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods toJSON :: DeleteDataset -> Value # toEncoding :: DeleteDataset -> Encoding # toJSONList :: [DeleteDataset] -> Value # toEncodingList :: [DeleteDataset] -> Encoding #
ToHeaders DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods toHeaders :: DeleteDataset -> [Header] #
ToPath DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods toPath :: DeleteDataset -> ByteString #
ToQuery DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods toQuery :: DeleteDataset -> QueryString #
AWSRequest DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Associated Types type AWSResponse DeleteDataset # Methods request :: (Service -> Service) -> DeleteDataset -> Request DeleteDataset # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteDataset -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteDataset))) #
Generic DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Associated Types type Rep DeleteDataset :: Type -> Type # Methods from :: DeleteDataset -> Rep DeleteDataset x # to :: Rep DeleteDataset x -> DeleteDataset #
Read DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods readsPrec :: Int -> ReadS DeleteDataset # readList :: ReadS [DeleteDataset] # readPrec :: ReadPrec DeleteDataset # readListPrec :: ReadPrec [DeleteDataset] #
Show DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods showsPrec :: Int -> DeleteDataset -> ShowS # show :: DeleteDataset -> String # showList :: [DeleteDataset] -> ShowS #
NFData DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods rnf :: DeleteDataset -> () #
Eq DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods (==) :: DeleteDataset -> DeleteDataset -> Bool # (/=) :: DeleteDataset -> DeleteDataset -> Bool #
Hashable DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods hashWithSalt :: Int -> DeleteDataset -> Int # hash :: DeleteDataset -> Int #
type AWSResponse DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset type AWSResponse DeleteDataset = DeleteDatasetResponse
type Rep DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset type Rep DeleteDataset = D1 ('MetaData "DeleteDataset" "Amazonka.Forecast.DeleteDataset" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteDataset'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteDataset Source #

Arguments

:: Text	`DeleteDataset`
-> 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_datasetArn - The Amazon Resource Name (ARN) of the dataset to delete.

data DeleteDatasetResponse Source #

See: newDeleteDatasetResponse smart constructor.

Constructors

DeleteDatasetResponse'

Instances

Instances details

Generic DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Associated Types type Rep DeleteDatasetResponse :: Type -> Type # Methods from :: DeleteDatasetResponse -> Rep DeleteDatasetResponse x # to :: Rep DeleteDatasetResponse x -> DeleteDatasetResponse #
Read DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods readsPrec :: Int -> ReadS DeleteDatasetResponse # readList :: ReadS [DeleteDatasetResponse] # readPrec :: ReadPrec DeleteDatasetResponse # readListPrec :: ReadPrec [DeleteDatasetResponse] #
Show DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods showsPrec :: Int -> DeleteDatasetResponse -> ShowS # show :: DeleteDatasetResponse -> String # showList :: [DeleteDatasetResponse] -> ShowS #
NFData DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods rnf :: DeleteDatasetResponse -> () #
Eq DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods (==) :: DeleteDatasetResponse -> DeleteDatasetResponse -> Bool # (/=) :: DeleteDatasetResponse -> DeleteDatasetResponse -> Bool #
type Rep DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset type Rep DeleteDatasetResponse = D1 ('MetaData "DeleteDatasetResponse" "Amazonka.Forecast.DeleteDataset" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteDatasetResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeleteDatasetResponse :: DeleteDatasetResponse Source #

Create a value of DeleteDatasetResponse with all optional fields omitted.

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

DeleteDatasetGroup

data DeleteDatasetGroup Source #

See: newDeleteDatasetGroup smart constructor.

Constructors

DeleteDatasetGroup' Text

Instances

Instances details

ToJSON DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods toJSON :: DeleteDatasetGroup -> Value # toEncoding :: DeleteDatasetGroup -> Encoding # toJSONList :: [DeleteDatasetGroup] -> Value # toEncodingList :: [DeleteDatasetGroup] -> Encoding #
ToHeaders DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods toHeaders :: DeleteDatasetGroup -> [Header] #
ToPath DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods toPath :: DeleteDatasetGroup -> ByteString #
ToQuery DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods toQuery :: DeleteDatasetGroup -> QueryString #
AWSRequest DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Associated Types type AWSResponse DeleteDatasetGroup # Methods request :: (Service -> Service) -> DeleteDatasetGroup -> Request DeleteDatasetGroup # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteDatasetGroup -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteDatasetGroup))) #
Generic DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Associated Types type Rep DeleteDatasetGroup :: Type -> Type # Methods from :: DeleteDatasetGroup -> Rep DeleteDatasetGroup x # to :: Rep DeleteDatasetGroup x -> DeleteDatasetGroup #
Read DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods readsPrec :: Int -> ReadS DeleteDatasetGroup # readList :: ReadS [DeleteDatasetGroup] # readPrec :: ReadPrec DeleteDatasetGroup # readListPrec :: ReadPrec [DeleteDatasetGroup] #
Show DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods showsPrec :: Int -> DeleteDatasetGroup -> ShowS # show :: DeleteDatasetGroup -> String # showList :: [DeleteDatasetGroup] -> ShowS #
NFData DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods rnf :: DeleteDatasetGroup -> () #
Eq DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods (==) :: DeleteDatasetGroup -> DeleteDatasetGroup -> Bool # (/=) :: DeleteDatasetGroup -> DeleteDatasetGroup -> Bool #
Hashable DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods hashWithSalt :: Int -> DeleteDatasetGroup -> Int # hash :: DeleteDatasetGroup -> Int #
type AWSResponse DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup type AWSResponse DeleteDatasetGroup = DeleteDatasetGroupResponse
type Rep DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup type Rep DeleteDatasetGroup = D1 ('MetaData "DeleteDatasetGroup" "Amazonka.Forecast.DeleteDatasetGroup" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteDatasetGroup'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteDatasetGroup Source #

Arguments

:: Text	`DeleteDatasetGroup`
-> DeleteDatasetGroup

Create a value of DeleteDatasetGroup 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:

DeleteDatasetGroup, deleteDatasetGroup_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group to delete.

data DeleteDatasetGroupResponse Source #

See: newDeleteDatasetGroupResponse smart constructor.

Constructors

DeleteDatasetGroupResponse'

Instances

Instances details

Generic DeleteDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Associated Types type Rep DeleteDatasetGroupResponse :: Type -> Type # Methods from :: DeleteDatasetGroupResponse -> Rep DeleteDatasetGroupResponse x # to :: Rep DeleteDatasetGroupResponse x -> DeleteDatasetGroupResponse #
Read DeleteDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods readsPrec :: Int -> ReadS DeleteDatasetGroupResponse # readList :: ReadS [DeleteDatasetGroupResponse] # readPrec :: ReadPrec DeleteDatasetGroupResponse # readListPrec :: ReadPrec [DeleteDatasetGroupResponse] #
Show DeleteDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods showsPrec :: Int -> DeleteDatasetGroupResponse -> ShowS # show :: DeleteDatasetGroupResponse -> String # showList :: [DeleteDatasetGroupResponse] -> ShowS #
NFData DeleteDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods rnf :: DeleteDatasetGroupResponse -> () #
Eq DeleteDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods (==) :: DeleteDatasetGroupResponse -> DeleteDatasetGroupResponse -> Bool # (/=) :: DeleteDatasetGroupResponse -> DeleteDatasetGroupResponse -> Bool #
type Rep DeleteDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup type Rep DeleteDatasetGroupResponse = D1 ('MetaData "DeleteDatasetGroupResponse" "Amazonka.Forecast.DeleteDatasetGroup" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteDatasetGroupResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeleteDatasetGroupResponse :: DeleteDatasetGroupResponse Source #

Create a value of DeleteDatasetGroupResponse with all optional fields omitted.

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

DeleteDatasetImportJob

data DeleteDatasetImportJob Source #

See: newDeleteDatasetImportJob smart constructor.

Constructors

DeleteDatasetImportJob' Text

Instances

Instances details

ToJSON DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods toJSON :: DeleteDatasetImportJob -> Value # toEncoding :: DeleteDatasetImportJob -> Encoding # toJSONList :: [DeleteDatasetImportJob] -> Value # toEncodingList :: [DeleteDatasetImportJob] -> Encoding #
ToHeaders DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods toHeaders :: DeleteDatasetImportJob -> [Header] #
ToPath DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods toPath :: DeleteDatasetImportJob -> ByteString #
ToQuery DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods toQuery :: DeleteDatasetImportJob -> QueryString #
AWSRequest DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Associated Types type AWSResponse DeleteDatasetImportJob # Methods request :: (Service -> Service) -> DeleteDatasetImportJob -> Request DeleteDatasetImportJob # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteDatasetImportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteDatasetImportJob))) #
Generic DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Associated Types type Rep DeleteDatasetImportJob :: Type -> Type # Methods from :: DeleteDatasetImportJob -> Rep DeleteDatasetImportJob x # to :: Rep DeleteDatasetImportJob x -> DeleteDatasetImportJob #
Read DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods readsPrec :: Int -> ReadS DeleteDatasetImportJob # readList :: ReadS [DeleteDatasetImportJob] # readPrec :: ReadPrec DeleteDatasetImportJob # readListPrec :: ReadPrec [DeleteDatasetImportJob] #
Show DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods showsPrec :: Int -> DeleteDatasetImportJob -> ShowS # show :: DeleteDatasetImportJob -> String # showList :: [DeleteDatasetImportJob] -> ShowS #
NFData DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods rnf :: DeleteDatasetImportJob -> () #
Eq DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods (==) :: DeleteDatasetImportJob -> DeleteDatasetImportJob -> Bool # (/=) :: DeleteDatasetImportJob -> DeleteDatasetImportJob -> Bool #
Hashable DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods hashWithSalt :: Int -> DeleteDatasetImportJob -> Int # hash :: DeleteDatasetImportJob -> Int #
type AWSResponse DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob type AWSResponse DeleteDatasetImportJob = DeleteDatasetImportJobResponse
type Rep DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob type Rep DeleteDatasetImportJob = D1 ('MetaData "DeleteDatasetImportJob" "Amazonka.Forecast.DeleteDatasetImportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteDatasetImportJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetImportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteDatasetImportJob Source #

Arguments

:: Text	`DeleteDatasetImportJob`
-> DeleteDatasetImportJob

Create a value of DeleteDatasetImportJob 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:

DeleteDatasetImportJob, deleteDatasetImportJob_datasetImportJobArn - The Amazon Resource Name (ARN) of the dataset import job to delete.

data DeleteDatasetImportJobResponse Source #

See: newDeleteDatasetImportJobResponse smart constructor.

Constructors

DeleteDatasetImportJobResponse'

Instances

Instances details

Generic DeleteDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Associated Types type Rep DeleteDatasetImportJobResponse :: Type -> Type # Methods from :: DeleteDatasetImportJobResponse -> Rep DeleteDatasetImportJobResponse x # to :: Rep DeleteDatasetImportJobResponse x -> DeleteDatasetImportJobResponse #
Read DeleteDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods readsPrec :: Int -> ReadS DeleteDatasetImportJobResponse # readList :: ReadS [DeleteDatasetImportJobResponse] # readPrec :: ReadPrec DeleteDatasetImportJobResponse # readListPrec :: ReadPrec [DeleteDatasetImportJobResponse] #
Show DeleteDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods showsPrec :: Int -> DeleteDatasetImportJobResponse -> ShowS # show :: DeleteDatasetImportJobResponse -> String # showList :: [DeleteDatasetImportJobResponse] -> ShowS #
NFData DeleteDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods rnf :: DeleteDatasetImportJobResponse -> () #
Eq DeleteDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods (==) :: DeleteDatasetImportJobResponse -> DeleteDatasetImportJobResponse -> Bool # (/=) :: DeleteDatasetImportJobResponse -> DeleteDatasetImportJobResponse -> Bool #
type Rep DeleteDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob type Rep DeleteDatasetImportJobResponse = D1 ('MetaData "DeleteDatasetImportJobResponse" "Amazonka.Forecast.DeleteDatasetImportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteDatasetImportJobResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeleteDatasetImportJobResponse :: DeleteDatasetImportJobResponse Source #

Create a value of DeleteDatasetImportJobResponse with all optional fields omitted.

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

DeleteExplainability

data DeleteExplainability Source #

See: newDeleteExplainability smart constructor.

Constructors

DeleteExplainability' Text

Instances

Instances details

ToJSON DeleteExplainability Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Methods toJSON :: DeleteExplainability -> Value # toEncoding :: DeleteExplainability -> Encoding # toJSONList :: [DeleteExplainability] -> Value # toEncodingList :: [DeleteExplainability] -> Encoding #
ToHeaders DeleteExplainability Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Methods toHeaders :: DeleteExplainability -> [Header] #
ToPath DeleteExplainability Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Methods toPath :: DeleteExplainability -> ByteString #
ToQuery DeleteExplainability Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Methods toQuery :: DeleteExplainability -> QueryString #
AWSRequest DeleteExplainability Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Associated Types type AWSResponse DeleteExplainability # Methods request :: (Service -> Service) -> DeleteExplainability -> Request DeleteExplainability # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteExplainability -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteExplainability))) #
Generic DeleteExplainability Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Associated Types type Rep DeleteExplainability :: Type -> Type # Methods from :: DeleteExplainability -> Rep DeleteExplainability x # to :: Rep DeleteExplainability x -> DeleteExplainability #
Read DeleteExplainability Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Methods readsPrec :: Int -> ReadS DeleteExplainability # readList :: ReadS [DeleteExplainability] # readPrec :: ReadPrec DeleteExplainability # readListPrec :: ReadPrec [DeleteExplainability] #
Show DeleteExplainability Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Methods showsPrec :: Int -> DeleteExplainability -> ShowS # show :: DeleteExplainability -> String # showList :: [DeleteExplainability] -> ShowS #
NFData DeleteExplainability Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Methods rnf :: DeleteExplainability -> () #
Eq DeleteExplainability Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Methods (==) :: DeleteExplainability -> DeleteExplainability -> Bool # (/=) :: DeleteExplainability -> DeleteExplainability -> Bool #
Hashable DeleteExplainability Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Methods hashWithSalt :: Int -> DeleteExplainability -> Int # hash :: DeleteExplainability -> Int #
type AWSResponse DeleteExplainability Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability type AWSResponse DeleteExplainability = DeleteExplainabilityResponse
type Rep DeleteExplainability Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability type Rep DeleteExplainability = D1 ('MetaData "DeleteExplainability" "Amazonka.Forecast.DeleteExplainability" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteExplainability'" 'PrefixI 'True) (S1 ('MetaSel ('Just "explainabilityArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteExplainability Source #

Arguments

:: Text	`DeleteExplainability`
-> DeleteExplainability

Create a value of DeleteExplainability 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:

DeleteExplainability, deleteExplainability_explainabilityArn - The Amazon Resource Name (ARN) of the Explainability resource to delete.

data DeleteExplainabilityResponse Source #

See: newDeleteExplainabilityResponse smart constructor.

Constructors

DeleteExplainabilityResponse'

Instances

Instances details

Generic DeleteExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Associated Types type Rep DeleteExplainabilityResponse :: Type -> Type # Methods from :: DeleteExplainabilityResponse -> Rep DeleteExplainabilityResponse x # to :: Rep DeleteExplainabilityResponse x -> DeleteExplainabilityResponse #
Read DeleteExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Methods readsPrec :: Int -> ReadS DeleteExplainabilityResponse # readList :: ReadS [DeleteExplainabilityResponse] # readPrec :: ReadPrec DeleteExplainabilityResponse # readListPrec :: ReadPrec [DeleteExplainabilityResponse] #
Show DeleteExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Methods showsPrec :: Int -> DeleteExplainabilityResponse -> ShowS # show :: DeleteExplainabilityResponse -> String # showList :: [DeleteExplainabilityResponse] -> ShowS #
NFData DeleteExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Methods rnf :: DeleteExplainabilityResponse -> () #
Eq DeleteExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability Methods (==) :: DeleteExplainabilityResponse -> DeleteExplainabilityResponse -> Bool # (/=) :: DeleteExplainabilityResponse -> DeleteExplainabilityResponse -> Bool #
type Rep DeleteExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainability type Rep DeleteExplainabilityResponse = D1 ('MetaData "DeleteExplainabilityResponse" "Amazonka.Forecast.DeleteExplainability" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteExplainabilityResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeleteExplainabilityResponse :: DeleteExplainabilityResponse Source #

Create a value of DeleteExplainabilityResponse with all optional fields omitted.

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

DeleteExplainabilityExport

data DeleteExplainabilityExport Source #

See: newDeleteExplainabilityExport smart constructor.

Constructors

DeleteExplainabilityExport' Text

Instances

Instances details

ToJSON DeleteExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Methods toJSON :: DeleteExplainabilityExport -> Value # toEncoding :: DeleteExplainabilityExport -> Encoding # toJSONList :: [DeleteExplainabilityExport] -> Value # toEncodingList :: [DeleteExplainabilityExport] -> Encoding #
ToHeaders DeleteExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Methods toHeaders :: DeleteExplainabilityExport -> [Header] #
ToPath DeleteExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Methods toPath :: DeleteExplainabilityExport -> ByteString #
ToQuery DeleteExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Methods toQuery :: DeleteExplainabilityExport -> QueryString #
AWSRequest DeleteExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Associated Types type AWSResponse DeleteExplainabilityExport # Methods request :: (Service -> Service) -> DeleteExplainabilityExport -> Request DeleteExplainabilityExport # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteExplainabilityExport -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteExplainabilityExport))) #
Generic DeleteExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Associated Types type Rep DeleteExplainabilityExport :: Type -> Type # Methods from :: DeleteExplainabilityExport -> Rep DeleteExplainabilityExport x # to :: Rep DeleteExplainabilityExport x -> DeleteExplainabilityExport #
Read DeleteExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Methods readsPrec :: Int -> ReadS DeleteExplainabilityExport # readList :: ReadS [DeleteExplainabilityExport] # readPrec :: ReadPrec DeleteExplainabilityExport # readListPrec :: ReadPrec [DeleteExplainabilityExport] #
Show DeleteExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Methods showsPrec :: Int -> DeleteExplainabilityExport -> ShowS # show :: DeleteExplainabilityExport -> String # showList :: [DeleteExplainabilityExport] -> ShowS #
NFData DeleteExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Methods rnf :: DeleteExplainabilityExport -> () #
Eq DeleteExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Methods (==) :: DeleteExplainabilityExport -> DeleteExplainabilityExport -> Bool # (/=) :: DeleteExplainabilityExport -> DeleteExplainabilityExport -> Bool #
Hashable DeleteExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Methods hashWithSalt :: Int -> DeleteExplainabilityExport -> Int # hash :: DeleteExplainabilityExport -> Int #
type AWSResponse DeleteExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport type AWSResponse DeleteExplainabilityExport = DeleteExplainabilityExportResponse
type Rep DeleteExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport type Rep DeleteExplainabilityExport = D1 ('MetaData "DeleteExplainabilityExport" "Amazonka.Forecast.DeleteExplainabilityExport" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteExplainabilityExport'" 'PrefixI 'True) (S1 ('MetaSel ('Just "explainabilityExportArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteExplainabilityExport Source #

Arguments

:: Text	`DeleteExplainabilityExport`
-> DeleteExplainabilityExport

Create a value of DeleteExplainabilityExport 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:

DeleteExplainabilityExport, deleteExplainabilityExport_explainabilityExportArn - The Amazon Resource Name (ARN) of the Explainability export to delete.

data DeleteExplainabilityExportResponse Source #

See: newDeleteExplainabilityExportResponse smart constructor.

Constructors

DeleteExplainabilityExportResponse'

Instances

Instances details

Generic DeleteExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Associated Types type Rep DeleteExplainabilityExportResponse :: Type -> Type # Methods from :: DeleteExplainabilityExportResponse -> Rep DeleteExplainabilityExportResponse x # to :: Rep DeleteExplainabilityExportResponse x -> DeleteExplainabilityExportResponse #
Read DeleteExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Methods readsPrec :: Int -> ReadS DeleteExplainabilityExportResponse # readList :: ReadS [DeleteExplainabilityExportResponse] # readPrec :: ReadPrec DeleteExplainabilityExportResponse # readListPrec :: ReadPrec [DeleteExplainabilityExportResponse] #
Show DeleteExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Methods showsPrec :: Int -> DeleteExplainabilityExportResponse -> ShowS # show :: DeleteExplainabilityExportResponse -> String # showList :: [DeleteExplainabilityExportResponse] -> ShowS #
NFData DeleteExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Methods rnf :: DeleteExplainabilityExportResponse -> () #
Eq DeleteExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport Methods (==) :: DeleteExplainabilityExportResponse -> DeleteExplainabilityExportResponse -> Bool # (/=) :: DeleteExplainabilityExportResponse -> DeleteExplainabilityExportResponse -> Bool #
type Rep DeleteExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteExplainabilityExport type Rep DeleteExplainabilityExportResponse = D1 ('MetaData "DeleteExplainabilityExportResponse" "Amazonka.Forecast.DeleteExplainabilityExport" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteExplainabilityExportResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeleteExplainabilityExportResponse :: DeleteExplainabilityExportResponse Source #

Create a value of DeleteExplainabilityExportResponse with all optional fields omitted.

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

DeleteForecast

data DeleteForecast Source #

See: newDeleteForecast smart constructor.

Constructors

DeleteForecast' Text

Instances

Instances details

ToJSON DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods toJSON :: DeleteForecast -> Value # toEncoding :: DeleteForecast -> Encoding # toJSONList :: [DeleteForecast] -> Value # toEncodingList :: [DeleteForecast] -> Encoding #
ToHeaders DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods toHeaders :: DeleteForecast -> [Header] #
ToPath DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods toPath :: DeleteForecast -> ByteString #
ToQuery DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods toQuery :: DeleteForecast -> QueryString #
AWSRequest DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Associated Types type AWSResponse DeleteForecast # Methods request :: (Service -> Service) -> DeleteForecast -> Request DeleteForecast # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteForecast -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteForecast))) #
Generic DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Associated Types type Rep DeleteForecast :: Type -> Type # Methods from :: DeleteForecast -> Rep DeleteForecast x # to :: Rep DeleteForecast x -> DeleteForecast #
Read DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods readsPrec :: Int -> ReadS DeleteForecast # readList :: ReadS [DeleteForecast] # readPrec :: ReadPrec DeleteForecast # readListPrec :: ReadPrec [DeleteForecast] #
Show DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods showsPrec :: Int -> DeleteForecast -> ShowS # show :: DeleteForecast -> String # showList :: [DeleteForecast] -> ShowS #
NFData DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods rnf :: DeleteForecast -> () #
Eq DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods (==) :: DeleteForecast -> DeleteForecast -> Bool # (/=) :: DeleteForecast -> DeleteForecast -> Bool #
Hashable DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods hashWithSalt :: Int -> DeleteForecast -> Int # hash :: DeleteForecast -> Int #
type AWSResponse DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast type AWSResponse DeleteForecast = DeleteForecastResponse
type Rep DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast type Rep DeleteForecast = D1 ('MetaData "DeleteForecast" "Amazonka.Forecast.DeleteForecast" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteForecast'" 'PrefixI 'True) (S1 ('MetaSel ('Just "forecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteForecast Source #

Arguments

:: Text	`DeleteForecast`
-> DeleteForecast

Create a value of DeleteForecast 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:

DeleteForecast, deleteForecast_forecastArn - The Amazon Resource Name (ARN) of the forecast to delete.

data DeleteForecastResponse Source #

See: newDeleteForecastResponse smart constructor.

Constructors

DeleteForecastResponse'

Instances

Instances details

Generic DeleteForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Associated Types type Rep DeleteForecastResponse :: Type -> Type # Methods from :: DeleteForecastResponse -> Rep DeleteForecastResponse x # to :: Rep DeleteForecastResponse x -> DeleteForecastResponse #
Read DeleteForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods readsPrec :: Int -> ReadS DeleteForecastResponse # readList :: ReadS [DeleteForecastResponse] # readPrec :: ReadPrec DeleteForecastResponse # readListPrec :: ReadPrec [DeleteForecastResponse] #
Show DeleteForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods showsPrec :: Int -> DeleteForecastResponse -> ShowS # show :: DeleteForecastResponse -> String # showList :: [DeleteForecastResponse] -> ShowS #
NFData DeleteForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods rnf :: DeleteForecastResponse -> () #
Eq DeleteForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods (==) :: DeleteForecastResponse -> DeleteForecastResponse -> Bool # (/=) :: DeleteForecastResponse -> DeleteForecastResponse -> Bool #
type Rep DeleteForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast type Rep DeleteForecastResponse = D1 ('MetaData "DeleteForecastResponse" "Amazonka.Forecast.DeleteForecast" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteForecastResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeleteForecastResponse :: DeleteForecastResponse Source #

Create a value of DeleteForecastResponse with all optional fields omitted.

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

DeleteForecastExportJob

data DeleteForecastExportJob Source #

See: newDeleteForecastExportJob smart constructor.

Constructors

DeleteForecastExportJob' Text

Instances

Instances details

ToJSON DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods toJSON :: DeleteForecastExportJob -> Value # toEncoding :: DeleteForecastExportJob -> Encoding # toJSONList :: [DeleteForecastExportJob] -> Value # toEncodingList :: [DeleteForecastExportJob] -> Encoding #
ToHeaders DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods toHeaders :: DeleteForecastExportJob -> [Header] #
ToPath DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods toPath :: DeleteForecastExportJob -> ByteString #
ToQuery DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods toQuery :: DeleteForecastExportJob -> QueryString #
AWSRequest DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Associated Types type AWSResponse DeleteForecastExportJob # Methods request :: (Service -> Service) -> DeleteForecastExportJob -> Request DeleteForecastExportJob # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteForecastExportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteForecastExportJob))) #
Generic DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Associated Types type Rep DeleteForecastExportJob :: Type -> Type # Methods from :: DeleteForecastExportJob -> Rep DeleteForecastExportJob x # to :: Rep DeleteForecastExportJob x -> DeleteForecastExportJob #
Read DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods readsPrec :: Int -> ReadS DeleteForecastExportJob # readList :: ReadS [DeleteForecastExportJob] # readPrec :: ReadPrec DeleteForecastExportJob # readListPrec :: ReadPrec [DeleteForecastExportJob] #
Show DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods showsPrec :: Int -> DeleteForecastExportJob -> ShowS # show :: DeleteForecastExportJob -> String # showList :: [DeleteForecastExportJob] -> ShowS #
NFData DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods rnf :: DeleteForecastExportJob -> () #
Eq DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods (==) :: DeleteForecastExportJob -> DeleteForecastExportJob -> Bool # (/=) :: DeleteForecastExportJob -> DeleteForecastExportJob -> Bool #
Hashable DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods hashWithSalt :: Int -> DeleteForecastExportJob -> Int # hash :: DeleteForecastExportJob -> Int #
type AWSResponse DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob type AWSResponse DeleteForecastExportJob = DeleteForecastExportJobResponse
type Rep DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob type Rep DeleteForecastExportJob = D1 ('MetaData "DeleteForecastExportJob" "Amazonka.Forecast.DeleteForecastExportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteForecastExportJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "forecastExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteForecastExportJob Source #

Arguments

:: Text	`DeleteForecastExportJob`
-> DeleteForecastExportJob

Create a value of DeleteForecastExportJob 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:

DeleteForecastExportJob, deleteForecastExportJob_forecastExportJobArn - The Amazon Resource Name (ARN) of the forecast export job to delete.

data DeleteForecastExportJobResponse Source #

See: newDeleteForecastExportJobResponse smart constructor.

Constructors

DeleteForecastExportJobResponse'

Instances

Instances details

Generic DeleteForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Associated Types type Rep DeleteForecastExportJobResponse :: Type -> Type # Methods from :: DeleteForecastExportJobResponse -> Rep DeleteForecastExportJobResponse x # to :: Rep DeleteForecastExportJobResponse x -> DeleteForecastExportJobResponse #
Read DeleteForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods readsPrec :: Int -> ReadS DeleteForecastExportJobResponse # readList :: ReadS [DeleteForecastExportJobResponse] # readPrec :: ReadPrec DeleteForecastExportJobResponse # readListPrec :: ReadPrec [DeleteForecastExportJobResponse] #
Show DeleteForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods showsPrec :: Int -> DeleteForecastExportJobResponse -> ShowS # show :: DeleteForecastExportJobResponse -> String # showList :: [DeleteForecastExportJobResponse] -> ShowS #
NFData DeleteForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods rnf :: DeleteForecastExportJobResponse -> () #
Eq DeleteForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods (==) :: DeleteForecastExportJobResponse -> DeleteForecastExportJobResponse -> Bool # (/=) :: DeleteForecastExportJobResponse -> DeleteForecastExportJobResponse -> Bool #
type Rep DeleteForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob type Rep DeleteForecastExportJobResponse = D1 ('MetaData "DeleteForecastExportJobResponse" "Amazonka.Forecast.DeleteForecastExportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteForecastExportJobResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeleteForecastExportJobResponse :: DeleteForecastExportJobResponse Source #

Create a value of DeleteForecastExportJobResponse with all optional fields omitted.

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

DeleteMonitor

data DeleteMonitor Source #

See: newDeleteMonitor smart constructor.

Constructors

DeleteMonitor' Text

Instances

Instances details

ToJSON DeleteMonitor Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Methods toJSON :: DeleteMonitor -> Value # toEncoding :: DeleteMonitor -> Encoding # toJSONList :: [DeleteMonitor] -> Value # toEncodingList :: [DeleteMonitor] -> Encoding #
ToHeaders DeleteMonitor Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Methods toHeaders :: DeleteMonitor -> [Header] #
ToPath DeleteMonitor Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Methods toPath :: DeleteMonitor -> ByteString #
ToQuery DeleteMonitor Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Methods toQuery :: DeleteMonitor -> QueryString #
AWSRequest DeleteMonitor Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Associated Types type AWSResponse DeleteMonitor # Methods request :: (Service -> Service) -> DeleteMonitor -> Request DeleteMonitor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteMonitor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteMonitor))) #
Generic DeleteMonitor Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Associated Types type Rep DeleteMonitor :: Type -> Type # Methods from :: DeleteMonitor -> Rep DeleteMonitor x # to :: Rep DeleteMonitor x -> DeleteMonitor #
Read DeleteMonitor Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Methods readsPrec :: Int -> ReadS DeleteMonitor # readList :: ReadS [DeleteMonitor] # readPrec :: ReadPrec DeleteMonitor # readListPrec :: ReadPrec [DeleteMonitor] #
Show DeleteMonitor Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Methods showsPrec :: Int -> DeleteMonitor -> ShowS # show :: DeleteMonitor -> String # showList :: [DeleteMonitor] -> ShowS #
NFData DeleteMonitor Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Methods rnf :: DeleteMonitor -> () #
Eq DeleteMonitor Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Methods (==) :: DeleteMonitor -> DeleteMonitor -> Bool # (/=) :: DeleteMonitor -> DeleteMonitor -> Bool #
Hashable DeleteMonitor Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Methods hashWithSalt :: Int -> DeleteMonitor -> Int # hash :: DeleteMonitor -> Int #
type AWSResponse DeleteMonitor Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor type AWSResponse DeleteMonitor = DeleteMonitorResponse
type Rep DeleteMonitor Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor type Rep DeleteMonitor = D1 ('MetaData "DeleteMonitor" "Amazonka.Forecast.DeleteMonitor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteMonitor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "monitorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteMonitor Source #

Arguments

:: Text	`DeleteMonitor`
-> DeleteMonitor

Create a value of DeleteMonitor 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:

DeleteMonitor, deleteMonitor_monitorArn - The Amazon Resource Name (ARN) of the monitor resource to delete.

data DeleteMonitorResponse Source #

See: newDeleteMonitorResponse smart constructor.

Constructors

DeleteMonitorResponse'

Instances

Instances details

Generic DeleteMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Associated Types type Rep DeleteMonitorResponse :: Type -> Type # Methods from :: DeleteMonitorResponse -> Rep DeleteMonitorResponse x # to :: Rep DeleteMonitorResponse x -> DeleteMonitorResponse #
Read DeleteMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Methods readsPrec :: Int -> ReadS DeleteMonitorResponse # readList :: ReadS [DeleteMonitorResponse] # readPrec :: ReadPrec DeleteMonitorResponse # readListPrec :: ReadPrec [DeleteMonitorResponse] #
Show DeleteMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Methods showsPrec :: Int -> DeleteMonitorResponse -> ShowS # show :: DeleteMonitorResponse -> String # showList :: [DeleteMonitorResponse] -> ShowS #
NFData DeleteMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Methods rnf :: DeleteMonitorResponse -> () #
Eq DeleteMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor Methods (==) :: DeleteMonitorResponse -> DeleteMonitorResponse -> Bool # (/=) :: DeleteMonitorResponse -> DeleteMonitorResponse -> Bool #
type Rep DeleteMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteMonitor type Rep DeleteMonitorResponse = D1 ('MetaData "DeleteMonitorResponse" "Amazonka.Forecast.DeleteMonitor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteMonitorResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeleteMonitorResponse :: DeleteMonitorResponse Source #

Create a value of DeleteMonitorResponse with all optional fields omitted.

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

DeletePredictor

data DeletePredictor Source #

See: newDeletePredictor smart constructor.

Constructors

DeletePredictor' Text

Instances

Instances details

ToJSON DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods toJSON :: DeletePredictor -> Value # toEncoding :: DeletePredictor -> Encoding # toJSONList :: [DeletePredictor] -> Value # toEncodingList :: [DeletePredictor] -> Encoding #
ToHeaders DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods toHeaders :: DeletePredictor -> [Header] #
ToPath DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods toPath :: DeletePredictor -> ByteString #
ToQuery DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods toQuery :: DeletePredictor -> QueryString #
AWSRequest DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Associated Types type AWSResponse DeletePredictor # Methods request :: (Service -> Service) -> DeletePredictor -> Request DeletePredictor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeletePredictor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeletePredictor))) #
Generic DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Associated Types type Rep DeletePredictor :: Type -> Type # Methods from :: DeletePredictor -> Rep DeletePredictor x # to :: Rep DeletePredictor x -> DeletePredictor #
Read DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods readsPrec :: Int -> ReadS DeletePredictor # readList :: ReadS [DeletePredictor] # readPrec :: ReadPrec DeletePredictor # readListPrec :: ReadPrec [DeletePredictor] #
Show DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods showsPrec :: Int -> DeletePredictor -> ShowS # show :: DeletePredictor -> String # showList :: [DeletePredictor] -> ShowS #
NFData DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods rnf :: DeletePredictor -> () #
Eq DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods (==) :: DeletePredictor -> DeletePredictor -> Bool # (/=) :: DeletePredictor -> DeletePredictor -> Bool #
Hashable DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods hashWithSalt :: Int -> DeletePredictor -> Int # hash :: DeletePredictor -> Int #
type AWSResponse DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor type AWSResponse DeletePredictor = DeletePredictorResponse
type Rep DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor type Rep DeletePredictor = D1 ('MetaData "DeletePredictor" "Amazonka.Forecast.DeletePredictor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeletePredictor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeletePredictor Source #

Arguments

:: Text	`DeletePredictor`
-> DeletePredictor

Create a value of DeletePredictor 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:

DeletePredictor, deletePredictor_predictorArn - The Amazon Resource Name (ARN) of the predictor to delete.

data DeletePredictorResponse Source #

See: newDeletePredictorResponse smart constructor.

Constructors

DeletePredictorResponse'

Instances

Instances details

Generic DeletePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Associated Types type Rep DeletePredictorResponse :: Type -> Type # Methods from :: DeletePredictorResponse -> Rep DeletePredictorResponse x # to :: Rep DeletePredictorResponse x -> DeletePredictorResponse #
Read DeletePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods readsPrec :: Int -> ReadS DeletePredictorResponse # readList :: ReadS [DeletePredictorResponse] # readPrec :: ReadPrec DeletePredictorResponse # readListPrec :: ReadPrec [DeletePredictorResponse] #
Show DeletePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods showsPrec :: Int -> DeletePredictorResponse -> ShowS # show :: DeletePredictorResponse -> String # showList :: [DeletePredictorResponse] -> ShowS #
NFData DeletePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods rnf :: DeletePredictorResponse -> () #
Eq DeletePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods (==) :: DeletePredictorResponse -> DeletePredictorResponse -> Bool # (/=) :: DeletePredictorResponse -> DeletePredictorResponse -> Bool #
type Rep DeletePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor type Rep DeletePredictorResponse = D1 ('MetaData "DeletePredictorResponse" "Amazonka.Forecast.DeletePredictor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeletePredictorResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeletePredictorResponse :: DeletePredictorResponse Source #

Create a value of DeletePredictorResponse with all optional fields omitted.

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

DeletePredictorBacktestExportJob

data DeletePredictorBacktestExportJob Source #

See: newDeletePredictorBacktestExportJob smart constructor.

Constructors

DeletePredictorBacktestExportJob' Text

Instances

Instances details

ToJSON DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods toJSON :: DeletePredictorBacktestExportJob -> Value # toEncoding :: DeletePredictorBacktestExportJob -> Encoding # toJSONList :: [DeletePredictorBacktestExportJob] -> Value # toEncodingList :: [DeletePredictorBacktestExportJob] -> Encoding #
ToHeaders DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods toHeaders :: DeletePredictorBacktestExportJob -> [Header] #
ToPath DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods toPath :: DeletePredictorBacktestExportJob -> ByteString #
ToQuery DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods toQuery :: DeletePredictorBacktestExportJob -> QueryString #
AWSRequest DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Associated Types type AWSResponse DeletePredictorBacktestExportJob # Methods request :: (Service -> Service) -> DeletePredictorBacktestExportJob -> Request DeletePredictorBacktestExportJob # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeletePredictorBacktestExportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeletePredictorBacktestExportJob))) #
Generic DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Associated Types type Rep DeletePredictorBacktestExportJob :: Type -> Type # Methods from :: DeletePredictorBacktestExportJob -> Rep DeletePredictorBacktestExportJob x # to :: Rep DeletePredictorBacktestExportJob x -> DeletePredictorBacktestExportJob #
Read DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods readsPrec :: Int -> ReadS DeletePredictorBacktestExportJob # readList :: ReadS [DeletePredictorBacktestExportJob] # readPrec :: ReadPrec DeletePredictorBacktestExportJob # readListPrec :: ReadPrec [DeletePredictorBacktestExportJob] #
Show DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods showsPrec :: Int -> DeletePredictorBacktestExportJob -> ShowS # show :: DeletePredictorBacktestExportJob -> String # showList :: [DeletePredictorBacktestExportJob] -> ShowS #
NFData DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods rnf :: DeletePredictorBacktestExportJob -> () #
Eq DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods (==) :: DeletePredictorBacktestExportJob -> DeletePredictorBacktestExportJob -> Bool # (/=) :: DeletePredictorBacktestExportJob -> DeletePredictorBacktestExportJob -> Bool #
Hashable DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods hashWithSalt :: Int -> DeletePredictorBacktestExportJob -> Int # hash :: DeletePredictorBacktestExportJob -> Int #
type AWSResponse DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob type AWSResponse DeletePredictorBacktestExportJob = DeletePredictorBacktestExportJobResponse
type Rep DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob type Rep DeletePredictorBacktestExportJob = D1 ('MetaData "DeletePredictorBacktestExportJob" "Amazonka.Forecast.DeletePredictorBacktestExportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeletePredictorBacktestExportJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorBacktestExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeletePredictorBacktestExportJob Source #

Arguments

:: Text	`DeletePredictorBacktestExportJob`
-> DeletePredictorBacktestExportJob

Create a value of DeletePredictorBacktestExportJob 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:

DeletePredictorBacktestExportJob, deletePredictorBacktestExportJob_predictorBacktestExportJobArn - The Amazon Resource Name (ARN) of the predictor backtest export job to delete.

data DeletePredictorBacktestExportJobResponse Source #

See: newDeletePredictorBacktestExportJobResponse smart constructor.

Constructors

DeletePredictorBacktestExportJobResponse'

Instances

Instances details

Generic DeletePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Associated Types type Rep DeletePredictorBacktestExportJobResponse :: Type -> Type # Methods from :: DeletePredictorBacktestExportJobResponse -> Rep DeletePredictorBacktestExportJobResponse x # to :: Rep DeletePredictorBacktestExportJobResponse x -> DeletePredictorBacktestExportJobResponse #
Read DeletePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods readsPrec :: Int -> ReadS DeletePredictorBacktestExportJobResponse # readList :: ReadS [DeletePredictorBacktestExportJobResponse] # readPrec :: ReadPrec DeletePredictorBacktestExportJobResponse # readListPrec :: ReadPrec [DeletePredictorBacktestExportJobResponse] #
Show DeletePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods showsPrec :: Int -> DeletePredictorBacktestExportJobResponse -> ShowS # show :: DeletePredictorBacktestExportJobResponse -> String # showList :: [DeletePredictorBacktestExportJobResponse] -> ShowS #
NFData DeletePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods rnf :: DeletePredictorBacktestExportJobResponse -> () #
Eq DeletePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods (==) :: DeletePredictorBacktestExportJobResponse -> DeletePredictorBacktestExportJobResponse -> Bool # (/=) :: DeletePredictorBacktestExportJobResponse -> DeletePredictorBacktestExportJobResponse -> Bool #
type Rep DeletePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob type Rep DeletePredictorBacktestExportJobResponse = D1 ('MetaData "DeletePredictorBacktestExportJobResponse" "Amazonka.Forecast.DeletePredictorBacktestExportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeletePredictorBacktestExportJobResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeletePredictorBacktestExportJobResponse :: DeletePredictorBacktestExportJobResponse Source #

Create a value of DeletePredictorBacktestExportJobResponse with all optional fields omitted.

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

DeleteResourceTree

data DeleteResourceTree Source #

See: newDeleteResourceTree smart constructor.

Constructors

DeleteResourceTree' Text

Instances

Instances details

ToJSON DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods toJSON :: DeleteResourceTree -> Value # toEncoding :: DeleteResourceTree -> Encoding # toJSONList :: [DeleteResourceTree] -> Value # toEncodingList :: [DeleteResourceTree] -> Encoding #
ToHeaders DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods toHeaders :: DeleteResourceTree -> [Header] #
ToPath DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods toPath :: DeleteResourceTree -> ByteString #
ToQuery DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods toQuery :: DeleteResourceTree -> QueryString #
AWSRequest DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Associated Types type AWSResponse DeleteResourceTree # Methods request :: (Service -> Service) -> DeleteResourceTree -> Request DeleteResourceTree # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteResourceTree -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteResourceTree))) #
Generic DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Associated Types type Rep DeleteResourceTree :: Type -> Type # Methods from :: DeleteResourceTree -> Rep DeleteResourceTree x # to :: Rep DeleteResourceTree x -> DeleteResourceTree #
Read DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods readsPrec :: Int -> ReadS DeleteResourceTree # readList :: ReadS [DeleteResourceTree] # readPrec :: ReadPrec DeleteResourceTree # readListPrec :: ReadPrec [DeleteResourceTree] #
Show DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods showsPrec :: Int -> DeleteResourceTree -> ShowS # show :: DeleteResourceTree -> String # showList :: [DeleteResourceTree] -> ShowS #
NFData DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods rnf :: DeleteResourceTree -> () #
Eq DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods (==) :: DeleteResourceTree -> DeleteResourceTree -> Bool # (/=) :: DeleteResourceTree -> DeleteResourceTree -> Bool #
Hashable DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods hashWithSalt :: Int -> DeleteResourceTree -> Int # hash :: DeleteResourceTree -> Int #
type AWSResponse DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree type AWSResponse DeleteResourceTree = DeleteResourceTreeResponse
type Rep DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree type Rep DeleteResourceTree = D1 ('MetaData "DeleteResourceTree" "Amazonka.Forecast.DeleteResourceTree" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteResourceTree'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteResourceTree Source #

Arguments

:: Text	`DeleteResourceTree`
-> DeleteResourceTree

Create a value of DeleteResourceTree 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:

DeleteResourceTree, deleteResourceTree_resourceArn - The Amazon Resource Name (ARN) of the parent resource to delete. All child resources of the parent resource will also be deleted.

data DeleteResourceTreeResponse Source #

See: newDeleteResourceTreeResponse smart constructor.

Constructors

DeleteResourceTreeResponse'

Instances

Instances details

Generic DeleteResourceTreeResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Associated Types type Rep DeleteResourceTreeResponse :: Type -> Type # Methods from :: DeleteResourceTreeResponse -> Rep DeleteResourceTreeResponse x # to :: Rep DeleteResourceTreeResponse x -> DeleteResourceTreeResponse #
Read DeleteResourceTreeResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods readsPrec :: Int -> ReadS DeleteResourceTreeResponse # readList :: ReadS [DeleteResourceTreeResponse] # readPrec :: ReadPrec DeleteResourceTreeResponse # readListPrec :: ReadPrec [DeleteResourceTreeResponse] #
Show DeleteResourceTreeResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods showsPrec :: Int -> DeleteResourceTreeResponse -> ShowS # show :: DeleteResourceTreeResponse -> String # showList :: [DeleteResourceTreeResponse] -> ShowS #
NFData DeleteResourceTreeResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods rnf :: DeleteResourceTreeResponse -> () #
Eq DeleteResourceTreeResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods (==) :: DeleteResourceTreeResponse -> DeleteResourceTreeResponse -> Bool # (/=) :: DeleteResourceTreeResponse -> DeleteResourceTreeResponse -> Bool #
type Rep DeleteResourceTreeResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree type Rep DeleteResourceTreeResponse = D1 ('MetaData "DeleteResourceTreeResponse" "Amazonka.Forecast.DeleteResourceTree" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteResourceTreeResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeleteResourceTreeResponse :: DeleteResourceTreeResponse Source #

Create a value of DeleteResourceTreeResponse with all optional fields omitted.

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

DeleteWhatIfAnalysis

data DeleteWhatIfAnalysis Source #

See: newDeleteWhatIfAnalysis smart constructor.

Constructors

DeleteWhatIfAnalysis' Text

Instances

Instances details

ToJSON DeleteWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Methods toJSON :: DeleteWhatIfAnalysis -> Value # toEncoding :: DeleteWhatIfAnalysis -> Encoding # toJSONList :: [DeleteWhatIfAnalysis] -> Value # toEncodingList :: [DeleteWhatIfAnalysis] -> Encoding #
ToHeaders DeleteWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Methods toHeaders :: DeleteWhatIfAnalysis -> [Header] #
ToPath DeleteWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Methods toPath :: DeleteWhatIfAnalysis -> ByteString #
ToQuery DeleteWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Methods toQuery :: DeleteWhatIfAnalysis -> QueryString #
AWSRequest DeleteWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Associated Types type AWSResponse DeleteWhatIfAnalysis # Methods request :: (Service -> Service) -> DeleteWhatIfAnalysis -> Request DeleteWhatIfAnalysis # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteWhatIfAnalysis -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteWhatIfAnalysis))) #
Generic DeleteWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Associated Types type Rep DeleteWhatIfAnalysis :: Type -> Type # Methods from :: DeleteWhatIfAnalysis -> Rep DeleteWhatIfAnalysis x # to :: Rep DeleteWhatIfAnalysis x -> DeleteWhatIfAnalysis #
Read DeleteWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Methods readsPrec :: Int -> ReadS DeleteWhatIfAnalysis # readList :: ReadS [DeleteWhatIfAnalysis] # readPrec :: ReadPrec DeleteWhatIfAnalysis # readListPrec :: ReadPrec [DeleteWhatIfAnalysis] #
Show DeleteWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Methods showsPrec :: Int -> DeleteWhatIfAnalysis -> ShowS # show :: DeleteWhatIfAnalysis -> String # showList :: [DeleteWhatIfAnalysis] -> ShowS #
NFData DeleteWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Methods rnf :: DeleteWhatIfAnalysis -> () #
Eq DeleteWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Methods (==) :: DeleteWhatIfAnalysis -> DeleteWhatIfAnalysis -> Bool # (/=) :: DeleteWhatIfAnalysis -> DeleteWhatIfAnalysis -> Bool #
Hashable DeleteWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Methods hashWithSalt :: Int -> DeleteWhatIfAnalysis -> Int # hash :: DeleteWhatIfAnalysis -> Int #
type AWSResponse DeleteWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis type AWSResponse DeleteWhatIfAnalysis = DeleteWhatIfAnalysisResponse
type Rep DeleteWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis type Rep DeleteWhatIfAnalysis = D1 ('MetaData "DeleteWhatIfAnalysis" "Amazonka.Forecast.DeleteWhatIfAnalysis" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteWhatIfAnalysis'" 'PrefixI 'True) (S1 ('MetaSel ('Just "whatIfAnalysisArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteWhatIfAnalysis Source #

Arguments

:: Text	`DeleteWhatIfAnalysis`
-> DeleteWhatIfAnalysis

Create a value of DeleteWhatIfAnalysis 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:

DeleteWhatIfAnalysis, deleteWhatIfAnalysis_whatIfAnalysisArn - The Amazon Resource Name (ARN) of the what-if analysis that you want to delete.

data DeleteWhatIfAnalysisResponse Source #

See: newDeleteWhatIfAnalysisResponse smart constructor.

Constructors

DeleteWhatIfAnalysisResponse'

Instances

Instances details

Generic DeleteWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Associated Types type Rep DeleteWhatIfAnalysisResponse :: Type -> Type # Methods from :: DeleteWhatIfAnalysisResponse -> Rep DeleteWhatIfAnalysisResponse x # to :: Rep DeleteWhatIfAnalysisResponse x -> DeleteWhatIfAnalysisResponse #
Read DeleteWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Methods readsPrec :: Int -> ReadS DeleteWhatIfAnalysisResponse # readList :: ReadS [DeleteWhatIfAnalysisResponse] # readPrec :: ReadPrec DeleteWhatIfAnalysisResponse # readListPrec :: ReadPrec [DeleteWhatIfAnalysisResponse] #
Show DeleteWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Methods showsPrec :: Int -> DeleteWhatIfAnalysisResponse -> ShowS # show :: DeleteWhatIfAnalysisResponse -> String # showList :: [DeleteWhatIfAnalysisResponse] -> ShowS #
NFData DeleteWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Methods rnf :: DeleteWhatIfAnalysisResponse -> () #
Eq DeleteWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis Methods (==) :: DeleteWhatIfAnalysisResponse -> DeleteWhatIfAnalysisResponse -> Bool # (/=) :: DeleteWhatIfAnalysisResponse -> DeleteWhatIfAnalysisResponse -> Bool #
type Rep DeleteWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfAnalysis type Rep DeleteWhatIfAnalysisResponse = D1 ('MetaData "DeleteWhatIfAnalysisResponse" "Amazonka.Forecast.DeleteWhatIfAnalysis" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteWhatIfAnalysisResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeleteWhatIfAnalysisResponse :: DeleteWhatIfAnalysisResponse Source #

Create a value of DeleteWhatIfAnalysisResponse with all optional fields omitted.

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

DeleteWhatIfForecast

data DeleteWhatIfForecast Source #

See: newDeleteWhatIfForecast smart constructor.

Constructors

DeleteWhatIfForecast' Text

Instances

Instances details

ToJSON DeleteWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Methods toJSON :: DeleteWhatIfForecast -> Value # toEncoding :: DeleteWhatIfForecast -> Encoding # toJSONList :: [DeleteWhatIfForecast] -> Value # toEncodingList :: [DeleteWhatIfForecast] -> Encoding #
ToHeaders DeleteWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Methods toHeaders :: DeleteWhatIfForecast -> [Header] #
ToPath DeleteWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Methods toPath :: DeleteWhatIfForecast -> ByteString #
ToQuery DeleteWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Methods toQuery :: DeleteWhatIfForecast -> QueryString #
AWSRequest DeleteWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Associated Types type AWSResponse DeleteWhatIfForecast # Methods request :: (Service -> Service) -> DeleteWhatIfForecast -> Request DeleteWhatIfForecast # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteWhatIfForecast -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteWhatIfForecast))) #
Generic DeleteWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Associated Types type Rep DeleteWhatIfForecast :: Type -> Type # Methods from :: DeleteWhatIfForecast -> Rep DeleteWhatIfForecast x # to :: Rep DeleteWhatIfForecast x -> DeleteWhatIfForecast #
Read DeleteWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Methods readsPrec :: Int -> ReadS DeleteWhatIfForecast # readList :: ReadS [DeleteWhatIfForecast] # readPrec :: ReadPrec DeleteWhatIfForecast # readListPrec :: ReadPrec [DeleteWhatIfForecast] #
Show DeleteWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Methods showsPrec :: Int -> DeleteWhatIfForecast -> ShowS # show :: DeleteWhatIfForecast -> String # showList :: [DeleteWhatIfForecast] -> ShowS #
NFData DeleteWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Methods rnf :: DeleteWhatIfForecast -> () #
Eq DeleteWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Methods (==) :: DeleteWhatIfForecast -> DeleteWhatIfForecast -> Bool # (/=) :: DeleteWhatIfForecast -> DeleteWhatIfForecast -> Bool #
Hashable DeleteWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Methods hashWithSalt :: Int -> DeleteWhatIfForecast -> Int # hash :: DeleteWhatIfForecast -> Int #
type AWSResponse DeleteWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast type AWSResponse DeleteWhatIfForecast = DeleteWhatIfForecastResponse
type Rep DeleteWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast type Rep DeleteWhatIfForecast = D1 ('MetaData "DeleteWhatIfForecast" "Amazonka.Forecast.DeleteWhatIfForecast" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteWhatIfForecast'" 'PrefixI 'True) (S1 ('MetaSel ('Just "whatIfForecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteWhatIfForecast Source #

Arguments

:: Text	`DeleteWhatIfForecast`
-> DeleteWhatIfForecast

Create a value of DeleteWhatIfForecast 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:

DeleteWhatIfForecast, deleteWhatIfForecast_whatIfForecastArn - The Amazon Resource Name (ARN) of the what-if forecast that you want to delete.

data DeleteWhatIfForecastResponse Source #

See: newDeleteWhatIfForecastResponse smart constructor.

Constructors

DeleteWhatIfForecastResponse'

Instances

Instances details

Generic DeleteWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Associated Types type Rep DeleteWhatIfForecastResponse :: Type -> Type # Methods from :: DeleteWhatIfForecastResponse -> Rep DeleteWhatIfForecastResponse x # to :: Rep DeleteWhatIfForecastResponse x -> DeleteWhatIfForecastResponse #
Read DeleteWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Methods readsPrec :: Int -> ReadS DeleteWhatIfForecastResponse # readList :: ReadS [DeleteWhatIfForecastResponse] # readPrec :: ReadPrec DeleteWhatIfForecastResponse # readListPrec :: ReadPrec [DeleteWhatIfForecastResponse] #
Show DeleteWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Methods showsPrec :: Int -> DeleteWhatIfForecastResponse -> ShowS # show :: DeleteWhatIfForecastResponse -> String # showList :: [DeleteWhatIfForecastResponse] -> ShowS #
NFData DeleteWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Methods rnf :: DeleteWhatIfForecastResponse -> () #
Eq DeleteWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast Methods (==) :: DeleteWhatIfForecastResponse -> DeleteWhatIfForecastResponse -> Bool # (/=) :: DeleteWhatIfForecastResponse -> DeleteWhatIfForecastResponse -> Bool #
type Rep DeleteWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecast type Rep DeleteWhatIfForecastResponse = D1 ('MetaData "DeleteWhatIfForecastResponse" "Amazonka.Forecast.DeleteWhatIfForecast" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteWhatIfForecastResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeleteWhatIfForecastResponse :: DeleteWhatIfForecastResponse Source #

Create a value of DeleteWhatIfForecastResponse with all optional fields omitted.

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

DeleteWhatIfForecastExport

data DeleteWhatIfForecastExport Source #

See: newDeleteWhatIfForecastExport smart constructor.

Constructors

DeleteWhatIfForecastExport' Text

Instances

Instances details

ToJSON DeleteWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Methods toJSON :: DeleteWhatIfForecastExport -> Value # toEncoding :: DeleteWhatIfForecastExport -> Encoding # toJSONList :: [DeleteWhatIfForecastExport] -> Value # toEncodingList :: [DeleteWhatIfForecastExport] -> Encoding #
ToHeaders DeleteWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Methods toHeaders :: DeleteWhatIfForecastExport -> [Header] #
ToPath DeleteWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Methods toPath :: DeleteWhatIfForecastExport -> ByteString #
ToQuery DeleteWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Methods toQuery :: DeleteWhatIfForecastExport -> QueryString #
AWSRequest DeleteWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Associated Types type AWSResponse DeleteWhatIfForecastExport # Methods request :: (Service -> Service) -> DeleteWhatIfForecastExport -> Request DeleteWhatIfForecastExport # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteWhatIfForecastExport -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteWhatIfForecastExport))) #
Generic DeleteWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Associated Types type Rep DeleteWhatIfForecastExport :: Type -> Type # Methods from :: DeleteWhatIfForecastExport -> Rep DeleteWhatIfForecastExport x # to :: Rep DeleteWhatIfForecastExport x -> DeleteWhatIfForecastExport #
Read DeleteWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Methods readsPrec :: Int -> ReadS DeleteWhatIfForecastExport # readList :: ReadS [DeleteWhatIfForecastExport] # readPrec :: ReadPrec DeleteWhatIfForecastExport # readListPrec :: ReadPrec [DeleteWhatIfForecastExport] #
Show DeleteWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Methods showsPrec :: Int -> DeleteWhatIfForecastExport -> ShowS # show :: DeleteWhatIfForecastExport -> String # showList :: [DeleteWhatIfForecastExport] -> ShowS #
NFData DeleteWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Methods rnf :: DeleteWhatIfForecastExport -> () #
Eq DeleteWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Methods (==) :: DeleteWhatIfForecastExport -> DeleteWhatIfForecastExport -> Bool # (/=) :: DeleteWhatIfForecastExport -> DeleteWhatIfForecastExport -> Bool #
Hashable DeleteWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Methods hashWithSalt :: Int -> DeleteWhatIfForecastExport -> Int # hash :: DeleteWhatIfForecastExport -> Int #
type AWSResponse DeleteWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport type AWSResponse DeleteWhatIfForecastExport = DeleteWhatIfForecastExportResponse
type Rep DeleteWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport type Rep DeleteWhatIfForecastExport = D1 ('MetaData "DeleteWhatIfForecastExport" "Amazonka.Forecast.DeleteWhatIfForecastExport" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteWhatIfForecastExport'" 'PrefixI 'True) (S1 ('MetaSel ('Just "whatIfForecastExportArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteWhatIfForecastExport Source #

Arguments

:: Text	`DeleteWhatIfForecastExport`
-> DeleteWhatIfForecastExport

Create a value of DeleteWhatIfForecastExport 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:

DeleteWhatIfForecastExport, deleteWhatIfForecastExport_whatIfForecastExportArn - The Amazon Resource Name (ARN) of the what-if forecast export that you want to delete.

data DeleteWhatIfForecastExportResponse Source #

See: newDeleteWhatIfForecastExportResponse smart constructor.

Constructors

DeleteWhatIfForecastExportResponse'

Instances

Instances details

Generic DeleteWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Associated Types type Rep DeleteWhatIfForecastExportResponse :: Type -> Type # Methods from :: DeleteWhatIfForecastExportResponse -> Rep DeleteWhatIfForecastExportResponse x # to :: Rep DeleteWhatIfForecastExportResponse x -> DeleteWhatIfForecastExportResponse #
Read DeleteWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Methods readsPrec :: Int -> ReadS DeleteWhatIfForecastExportResponse # readList :: ReadS [DeleteWhatIfForecastExportResponse] # readPrec :: ReadPrec DeleteWhatIfForecastExportResponse # readListPrec :: ReadPrec [DeleteWhatIfForecastExportResponse] #
Show DeleteWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Methods showsPrec :: Int -> DeleteWhatIfForecastExportResponse -> ShowS # show :: DeleteWhatIfForecastExportResponse -> String # showList :: [DeleteWhatIfForecastExportResponse] -> ShowS #
NFData DeleteWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Methods rnf :: DeleteWhatIfForecastExportResponse -> () #
Eq DeleteWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport Methods (==) :: DeleteWhatIfForecastExportResponse -> DeleteWhatIfForecastExportResponse -> Bool # (/=) :: DeleteWhatIfForecastExportResponse -> DeleteWhatIfForecastExportResponse -> Bool #
type Rep DeleteWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteWhatIfForecastExport type Rep DeleteWhatIfForecastExportResponse = D1 ('MetaData "DeleteWhatIfForecastExportResponse" "Amazonka.Forecast.DeleteWhatIfForecastExport" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DeleteWhatIfForecastExportResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newDeleteWhatIfForecastExportResponse :: DeleteWhatIfForecastExportResponse Source #

Create a value of DeleteWhatIfForecastExportResponse with all optional fields omitted.

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

DescribeAutoPredictor

data DescribeAutoPredictor Source #

See: newDescribeAutoPredictor smart constructor.

Constructors

DescribeAutoPredictor' Text

Instances

Instances details

ToJSON DescribeAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Methods toJSON :: DescribeAutoPredictor -> Value # toEncoding :: DescribeAutoPredictor -> Encoding # toJSONList :: [DescribeAutoPredictor] -> Value # toEncodingList :: [DescribeAutoPredictor] -> Encoding #
ToHeaders DescribeAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Methods toHeaders :: DescribeAutoPredictor -> [Header] #
ToPath DescribeAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Methods toPath :: DescribeAutoPredictor -> ByteString #
ToQuery DescribeAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Methods toQuery :: DescribeAutoPredictor -> QueryString #
AWSRequest DescribeAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Associated Types type AWSResponse DescribeAutoPredictor # Methods request :: (Service -> Service) -> DescribeAutoPredictor -> Request DescribeAutoPredictor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeAutoPredictor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeAutoPredictor))) #
Generic DescribeAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Associated Types type Rep DescribeAutoPredictor :: Type -> Type # Methods from :: DescribeAutoPredictor -> Rep DescribeAutoPredictor x # to :: Rep DescribeAutoPredictor x -> DescribeAutoPredictor #
Read DescribeAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Methods readsPrec :: Int -> ReadS DescribeAutoPredictor # readList :: ReadS [DescribeAutoPredictor] # readPrec :: ReadPrec DescribeAutoPredictor # readListPrec :: ReadPrec [DescribeAutoPredictor] #
Show DescribeAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Methods showsPrec :: Int -> DescribeAutoPredictor -> ShowS # show :: DescribeAutoPredictor -> String # showList :: [DescribeAutoPredictor] -> ShowS #
NFData DescribeAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Methods rnf :: DescribeAutoPredictor -> () #
Eq DescribeAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Methods (==) :: DescribeAutoPredictor -> DescribeAutoPredictor -> Bool # (/=) :: DescribeAutoPredictor -> DescribeAutoPredictor -> Bool #
Hashable DescribeAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Methods hashWithSalt :: Int -> DescribeAutoPredictor -> Int # hash :: DescribeAutoPredictor -> Int #
type AWSResponse DescribeAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor type AWSResponse DescribeAutoPredictor = DescribeAutoPredictorResponse
type Rep DescribeAutoPredictor Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor type Rep DescribeAutoPredictor = D1 ('MetaData "DescribeAutoPredictor" "Amazonka.Forecast.DescribeAutoPredictor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeAutoPredictor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeAutoPredictor Source #

Arguments

:: Text	`DescribeAutoPredictor`
-> DescribeAutoPredictor

Create a value of DescribeAutoPredictor 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:

DescribeAutoPredictor, describeAutoPredictor_predictorArn - The Amazon Resource Name (ARN) of the predictor.

data DescribeAutoPredictorResponse Source #

See: newDescribeAutoPredictorResponse smart constructor.

Constructors

DescribeAutoPredictorResponse' (Maybe POSIX) (Maybe DataConfig) (Maybe [Text]) (Maybe EncryptionConfig) (Maybe Integer) (Maybe ExplainabilityInfo) (Maybe (NonEmpty Text)) (Maybe Text) (Maybe Int) (Maybe (NonEmpty Text)) (Maybe POSIX) (Maybe Text) (Maybe MonitorInfo) (Maybe OptimizationMetric) (Maybe Text) (Maybe Text) (Maybe ReferencePredictorSummary) (Maybe Text) (Maybe TimeAlignmentBoundary) Int

Instances

Instances details

Generic DescribeAutoPredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Associated Types type Rep DescribeAutoPredictorResponse :: Type -> Type # Methods from :: DescribeAutoPredictorResponse -> Rep DescribeAutoPredictorResponse x # to :: Rep DescribeAutoPredictorResponse x -> DescribeAutoPredictorResponse #
Read DescribeAutoPredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Methods readsPrec :: Int -> ReadS DescribeAutoPredictorResponse # readList :: ReadS [DescribeAutoPredictorResponse] # readPrec :: ReadPrec DescribeAutoPredictorResponse # readListPrec :: ReadPrec [DescribeAutoPredictorResponse] #
Show DescribeAutoPredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Methods showsPrec :: Int -> DescribeAutoPredictorResponse -> ShowS # show :: DescribeAutoPredictorResponse -> String # showList :: [DescribeAutoPredictorResponse] -> ShowS #
NFData DescribeAutoPredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Methods rnf :: DescribeAutoPredictorResponse -> () #
Eq DescribeAutoPredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor Methods (==) :: DescribeAutoPredictorResponse -> DescribeAutoPredictorResponse -> Bool # (/=) :: DescribeAutoPredictorResponse -> DescribeAutoPredictorResponse -> Bool #
type Rep DescribeAutoPredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeAutoPredictor type Rep DescribeAutoPredictorResponse = D1 ('MetaData "DescribeAutoPredictorResponse" "Amazonka.Forecast.DescribeAutoPredictor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeAutoPredictorResponse'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "dataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataConfig))) :: (S1 ('MetaSel ('Just "datasetImportJobArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :: (S1 ('MetaSel ('Just "encryptionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EncryptionConfig)) :: S1 ('MetaSel ('Just "estimatedTimeRemainingInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))) :: ((S1 ('MetaSel ('Just "explainabilityInfo") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExplainabilityInfo)) :: S1 ('MetaSel ('Just "forecastDimensions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text)))) :: (S1 ('MetaSel ('Just "forecastFrequency") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "forecastHorizon") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "forecastTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))))))) :: (((S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "monitorInfo") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitorInfo)) :: (S1 ('MetaSel ('Just "optimizationMetric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OptimizationMetric)) :: S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "predictorName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "referencePredictorSummary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ReferencePredictorSummary))) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "timeAlignmentBoundary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TimeAlignmentBoundary)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))))

newDescribeAutoPredictorResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeAutoPredictorResponse'`
-> DescribeAutoPredictorResponse

Create a value of DescribeAutoPredictorResponse 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:

DescribeAutoPredictorResponse, describeAutoPredictorResponse_creationTime - The timestamp of the CreateAutoPredictor request.

$sel:dataConfig:DescribeAutoPredictorResponse', describeAutoPredictorResponse_dataConfig - The data configuration for your dataset group and any additional datasets.

$sel:datasetImportJobArns:DescribeAutoPredictorResponse', describeAutoPredictorResponse_datasetImportJobArns - An array of the ARNs of the dataset import jobs used to import training data for the predictor.

$sel:encryptionConfig:DescribeAutoPredictorResponse', describeAutoPredictorResponse_encryptionConfig - Undocumented member.

$sel:estimatedTimeRemainingInMinutes:DescribeAutoPredictorResponse', describeAutoPredictorResponse_estimatedTimeRemainingInMinutes - The estimated time remaining in minutes for the predictor training job to complete.

$sel:explainabilityInfo:DescribeAutoPredictorResponse', describeAutoPredictorResponse_explainabilityInfo - Provides the status and ARN of the Predictor Explainability.

DescribeAutoPredictorResponse, describeAutoPredictorResponse_forecastDimensions - An array of dimension (field) names that specify the attributes used to group your time series.

DescribeAutoPredictorResponse, describeAutoPredictorResponse_forecastFrequency - The frequency of predictions in a forecast.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "Y" indicates every year and "5min" indicates every five minutes.

$sel:forecastHorizon:DescribeAutoPredictorResponse', describeAutoPredictorResponse_forecastHorizon - The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.

$sel:forecastTypes:DescribeAutoPredictorResponse', describeAutoPredictorResponse_forecastTypes - The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"].

DescribeAutoPredictorResponse, describeAutoPredictorResponse_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

DescribeAutoPredictorResponse, describeAutoPredictorResponse_message - In the event of an error, a message detailing the cause of the error.

$sel:monitorInfo:DescribeAutoPredictorResponse', describeAutoPredictorResponse_monitorInfo - A object with the Amazon Resource Name (ARN) and status of the monitor resource.

$sel:optimizationMetric:DescribeAutoPredictorResponse', describeAutoPredictorResponse_optimizationMetric - The accuracy metric used to optimize the predictor.

DescribeAutoPredictor, describeAutoPredictorResponse_predictorArn - The Amazon Resource Name (ARN) of the predictor

DescribeAutoPredictorResponse, describeAutoPredictorResponse_predictorName - The name of the predictor.

DescribeAutoPredictorResponse, describeAutoPredictorResponse_referencePredictorSummary - The ARN and state of the reference predictor. This parameter is only valid for retrained or upgraded predictors.

DescribeAutoPredictorResponse, describeAutoPredictorResponse_status - The status of the predictor. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

$sel:timeAlignmentBoundary:DescribeAutoPredictorResponse', describeAutoPredictorResponse_timeAlignmentBoundary - The time boundary Forecast uses when aggregating data.

$sel:httpStatus:DescribeAutoPredictorResponse', describeAutoPredictorResponse_httpStatus - The response's http status code.

DescribeDataset

data DescribeDataset Source #

See: newDescribeDataset smart constructor.

Constructors

DescribeDataset' Text

Instances

Instances details

ToJSON DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods toJSON :: DescribeDataset -> Value # toEncoding :: DescribeDataset -> Encoding # toJSONList :: [DescribeDataset] -> Value # toEncodingList :: [DescribeDataset] -> Encoding #
ToHeaders DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods toHeaders :: DescribeDataset -> [Header] #
ToPath DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods toPath :: DescribeDataset -> ByteString #
ToQuery DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods toQuery :: DescribeDataset -> QueryString #
AWSRequest DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Associated Types type AWSResponse DescribeDataset # Methods request :: (Service -> Service) -> DescribeDataset -> Request DescribeDataset # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeDataset -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeDataset))) #
Generic DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Associated Types type Rep DescribeDataset :: Type -> Type # Methods from :: DescribeDataset -> Rep DescribeDataset x # to :: Rep DescribeDataset x -> DescribeDataset #
Read DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods readsPrec :: Int -> ReadS DescribeDataset # readList :: ReadS [DescribeDataset] # readPrec :: ReadPrec DescribeDataset # readListPrec :: ReadPrec [DescribeDataset] #
Show DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods showsPrec :: Int -> DescribeDataset -> ShowS # show :: DescribeDataset -> String # showList :: [DescribeDataset] -> ShowS #
NFData DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods rnf :: DescribeDataset -> () #
Eq DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods (==) :: DescribeDataset -> DescribeDataset -> Bool # (/=) :: DescribeDataset -> DescribeDataset -> Bool #
Hashable DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods hashWithSalt :: Int -> DescribeDataset -> Int # hash :: DescribeDataset -> Int #
type AWSResponse DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset type AWSResponse DescribeDataset = DescribeDatasetResponse
type Rep DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset type Rep DescribeDataset = D1 ('MetaData "DescribeDataset" "Amazonka.Forecast.DescribeDataset" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeDataset'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeDataset Source #

Arguments

:: Text	`DescribeDataset`
-> 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_datasetArn - The Amazon Resource Name (ARN) of the dataset.

data DescribeDatasetResponse Source #

See: newDescribeDatasetResponse smart constructor.

Constructors

DescribeDatasetResponse' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe DatasetType) (Maybe Domain) (Maybe EncryptionConfig) (Maybe POSIX) (Maybe Schema) (Maybe Text) Int

Instances

Instances details

Generic DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Associated Types type Rep DescribeDatasetResponse :: Type -> Type # Methods from :: DescribeDatasetResponse -> Rep DescribeDatasetResponse x # to :: Rep DescribeDatasetResponse x -> DescribeDatasetResponse #
Read DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods readsPrec :: Int -> ReadS DescribeDatasetResponse # readList :: ReadS [DescribeDatasetResponse] # readPrec :: ReadPrec DescribeDatasetResponse # readListPrec :: ReadPrec [DescribeDatasetResponse] #
Show DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods showsPrec :: Int -> DescribeDatasetResponse -> ShowS # show :: DescribeDatasetResponse -> String # showList :: [DescribeDatasetResponse] -> ShowS #
NFData DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods rnf :: DescribeDatasetResponse -> () #
Eq DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods (==) :: DescribeDatasetResponse -> DescribeDatasetResponse -> Bool # (/=) :: DescribeDatasetResponse -> DescribeDatasetResponse -> Bool #
type Rep DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset type Rep DescribeDatasetResponse = D1 ('MetaData "DescribeDatasetResponse" "Amazonka.Forecast.DescribeDataset" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeDatasetResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "dataFrequency") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "datasetName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "datasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetType))))) :: ((S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Domain)) :: (S1 ('MetaSel ('Just "encryptionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EncryptionConfig)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "schema") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Schema)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))))

newDescribeDatasetResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeDatasetResponse'`
-> DescribeDatasetResponse

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_creationTime - When the dataset was created.

$sel:dataFrequency:DescribeDatasetResponse', describeDatasetResponse_dataFrequency - The frequency of data collection.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "M" indicates every month and "30min" indicates every 30 minutes.

DescribeDataset, describeDatasetResponse_datasetArn - The Amazon Resource Name (ARN) of the dataset.

DescribeDatasetResponse, describeDatasetResponse_datasetName - The name of the dataset.

DescribeDatasetResponse, describeDatasetResponse_datasetType - The dataset type.

DescribeDatasetResponse, describeDatasetResponse_domain - The domain associated with the dataset.

$sel:encryptionConfig:DescribeDatasetResponse', describeDatasetResponse_encryptionConfig - The AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.

DescribeDatasetResponse, describeDatasetResponse_lastModificationTime - When you create a dataset, LastModificationTime is the same as CreationTime. While data is being imported to the dataset, LastModificationTime is the current time of the DescribeDataset call. After a CreateDatasetImportJob operation has finished, LastModificationTime is when the import job completed or failed.

DescribeDatasetResponse, describeDatasetResponse_schema - An array of SchemaAttribute objects that specify the dataset fields. Each SchemaAttribute specifies the name and data type of a field.

DescribeDatasetResponse, describeDatasetResponse_status - The status of the dataset. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED

The UPDATE states apply while data is imported to the dataset from a call to the CreateDatasetImportJob operation and reflect the status of the dataset import job. For example, when the import job status is CREATE_IN_PROGRESS, the status of the dataset is UPDATE_IN_PROGRESS.

The Status of the dataset must be ACTIVE before you can import training data.

$sel:httpStatus:DescribeDatasetResponse', describeDatasetResponse_httpStatus - The response's http status code.

DescribeDatasetGroup

data DescribeDatasetGroup Source #

See: newDescribeDatasetGroup smart constructor.

Constructors

DescribeDatasetGroup' Text

Instances

Instances details

ToJSON DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods toJSON :: DescribeDatasetGroup -> Value # toEncoding :: DescribeDatasetGroup -> Encoding # toJSONList :: [DescribeDatasetGroup] -> Value # toEncodingList :: [DescribeDatasetGroup] -> Encoding #
ToHeaders DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods toHeaders :: DescribeDatasetGroup -> [Header] #
ToPath DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods toPath :: DescribeDatasetGroup -> ByteString #
ToQuery DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods toQuery :: DescribeDatasetGroup -> QueryString #
AWSRequest DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Associated Types type AWSResponse DescribeDatasetGroup # Methods request :: (Service -> Service) -> DescribeDatasetGroup -> Request DescribeDatasetGroup # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeDatasetGroup -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeDatasetGroup))) #
Generic DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Associated Types type Rep DescribeDatasetGroup :: Type -> Type # Methods from :: DescribeDatasetGroup -> Rep DescribeDatasetGroup x # to :: Rep DescribeDatasetGroup x -> DescribeDatasetGroup #
Read DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods readsPrec :: Int -> ReadS DescribeDatasetGroup # readList :: ReadS [DescribeDatasetGroup] # readPrec :: ReadPrec DescribeDatasetGroup # readListPrec :: ReadPrec [DescribeDatasetGroup] #
Show DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods showsPrec :: Int -> DescribeDatasetGroup -> ShowS # show :: DescribeDatasetGroup -> String # showList :: [DescribeDatasetGroup] -> ShowS #
NFData DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods rnf :: DescribeDatasetGroup -> () #
Eq DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods (==) :: DescribeDatasetGroup -> DescribeDatasetGroup -> Bool # (/=) :: DescribeDatasetGroup -> DescribeDatasetGroup -> Bool #
Hashable DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods hashWithSalt :: Int -> DescribeDatasetGroup -> Int # hash :: DescribeDatasetGroup -> Int #
type AWSResponse DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup type AWSResponse DescribeDatasetGroup = DescribeDatasetGroupResponse
type Rep DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup type Rep DescribeDatasetGroup = D1 ('MetaData "DescribeDatasetGroup" "Amazonka.Forecast.DescribeDatasetGroup" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeDatasetGroup'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeDatasetGroup Source #

Arguments

:: Text	`DescribeDatasetGroup`
-> DescribeDatasetGroup

Create a value of DescribeDatasetGroup 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:

DescribeDatasetGroup, describeDatasetGroup_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group.

data DescribeDatasetGroupResponse Source #

See: newDescribeDatasetGroupResponse smart constructor.

Constructors

DescribeDatasetGroupResponse' (Maybe POSIX) (Maybe [Text]) (Maybe Text) (Maybe Text) (Maybe Domain) (Maybe POSIX) (Maybe Text) Int

Instances

Instances details

Generic DescribeDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Associated Types type Rep DescribeDatasetGroupResponse :: Type -> Type # Methods from :: DescribeDatasetGroupResponse -> Rep DescribeDatasetGroupResponse x # to :: Rep DescribeDatasetGroupResponse x -> DescribeDatasetGroupResponse #
Read DescribeDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods readsPrec :: Int -> ReadS DescribeDatasetGroupResponse # readList :: ReadS [DescribeDatasetGroupResponse] # readPrec :: ReadPrec DescribeDatasetGroupResponse # readListPrec :: ReadPrec [DescribeDatasetGroupResponse] #
Show DescribeDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods showsPrec :: Int -> DescribeDatasetGroupResponse -> ShowS # show :: DescribeDatasetGroupResponse -> String # showList :: [DescribeDatasetGroupResponse] -> ShowS #
NFData DescribeDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods rnf :: DescribeDatasetGroupResponse -> () #
Eq DescribeDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods (==) :: DescribeDatasetGroupResponse -> DescribeDatasetGroupResponse -> Bool # (/=) :: DescribeDatasetGroupResponse -> DescribeDatasetGroupResponse -> Bool #
type Rep DescribeDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup type Rep DescribeDatasetGroupResponse = D1 ('MetaData "DescribeDatasetGroupResponse" "Amazonka.Forecast.DescribeDatasetGroup" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeDatasetGroupResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasetArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))) :: (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "datasetGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Domain)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newDescribeDatasetGroupResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeDatasetGroupResponse'`
-> DescribeDatasetGroupResponse

Create a value of DescribeDatasetGroupResponse 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:

DescribeDatasetGroupResponse, describeDatasetGroupResponse_creationTime - When the dataset group was created.

$sel:datasetArns:DescribeDatasetGroupResponse', describeDatasetGroupResponse_datasetArns - An array of Amazon Resource Names (ARNs) of the datasets contained in the dataset group.

DescribeDatasetGroup, describeDatasetGroupResponse_datasetGroupArn - The ARN of the dataset group.

DescribeDatasetGroupResponse, describeDatasetGroupResponse_datasetGroupName - The name of the dataset group.

DescribeDatasetGroupResponse, describeDatasetGroupResponse_domain - The domain associated with the dataset group.

DescribeDatasetGroupResponse, describeDatasetGroupResponse_lastModificationTime - When the dataset group was created or last updated from a call to the UpdateDatasetGroup operation. While the dataset group is being updated, LastModificationTime is the current time of the DescribeDatasetGroup call.

DescribeDatasetGroupResponse, describeDatasetGroupResponse_status - The status of the dataset group. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED

The UPDATE states apply when you call the UpdateDatasetGroup operation.

The Status of the dataset group must be ACTIVE before you can use the dataset group to create a predictor.

$sel:httpStatus:DescribeDatasetGroupResponse', describeDatasetGroupResponse_httpStatus - The response's http status code.

DescribeDatasetImportJob

data DescribeDatasetImportJob Source #

See: newDescribeDatasetImportJob smart constructor.

Constructors

DescribeDatasetImportJob' Text

Instances

Instances details

ToJSON DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods toJSON :: DescribeDatasetImportJob -> Value # toEncoding :: DescribeDatasetImportJob -> Encoding # toJSONList :: [DescribeDatasetImportJob] -> Value # toEncodingList :: [DescribeDatasetImportJob] -> Encoding #
ToHeaders DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods toHeaders :: DescribeDatasetImportJob -> [Header] #
ToPath DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods toPath :: DescribeDatasetImportJob -> ByteString #
ToQuery DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods toQuery :: DescribeDatasetImportJob -> QueryString #
AWSRequest DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Associated Types type AWSResponse DescribeDatasetImportJob # Methods request :: (Service -> Service) -> DescribeDatasetImportJob -> Request DescribeDatasetImportJob # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeDatasetImportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeDatasetImportJob))) #
Generic DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Associated Types type Rep DescribeDatasetImportJob :: Type -> Type # Methods from :: DescribeDatasetImportJob -> Rep DescribeDatasetImportJob x # to :: Rep DescribeDatasetImportJob x -> DescribeDatasetImportJob #
Read DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods readsPrec :: Int -> ReadS DescribeDatasetImportJob # readList :: ReadS [DescribeDatasetImportJob] # readPrec :: ReadPrec DescribeDatasetImportJob # readListPrec :: ReadPrec [DescribeDatasetImportJob] #
Show DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods showsPrec :: Int -> DescribeDatasetImportJob -> ShowS # show :: DescribeDatasetImportJob -> String # showList :: [DescribeDatasetImportJob] -> ShowS #
NFData DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods rnf :: DescribeDatasetImportJob -> () #
Eq DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods (==) :: DescribeDatasetImportJob -> DescribeDatasetImportJob -> Bool # (/=) :: DescribeDatasetImportJob -> DescribeDatasetImportJob -> Bool #
Hashable DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods hashWithSalt :: Int -> DescribeDatasetImportJob -> Int # hash :: DescribeDatasetImportJob -> Int #
type AWSResponse DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob type AWSResponse DescribeDatasetImportJob = DescribeDatasetImportJobResponse
type Rep DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob type Rep DescribeDatasetImportJob = D1 ('MetaData "DescribeDatasetImportJob" "Amazonka.Forecast.DescribeDatasetImportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeDatasetImportJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetImportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeDatasetImportJob Source #

Arguments

:: Text	`DescribeDatasetImportJob`
-> DescribeDatasetImportJob

Create a value of DescribeDatasetImportJob 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:

DescribeDatasetImportJob, describeDatasetImportJob_datasetImportJobArn - The Amazon Resource Name (ARN) of the dataset import job.

data DescribeDatasetImportJobResponse Source #

See: newDescribeDatasetImportJobResponse smart constructor.

Constructors

DescribeDatasetImportJobResponse' (Maybe POSIX) (Maybe Double) (Maybe DataSource) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Integer) (Maybe (HashMap Text Statistics)) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Bool) Int

Instances

Instances details

Generic DescribeDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Associated Types type Rep DescribeDatasetImportJobResponse :: Type -> Type # Methods from :: DescribeDatasetImportJobResponse -> Rep DescribeDatasetImportJobResponse x # to :: Rep DescribeDatasetImportJobResponse x -> DescribeDatasetImportJobResponse #
Read DescribeDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods readsPrec :: Int -> ReadS DescribeDatasetImportJobResponse # readList :: ReadS [DescribeDatasetImportJobResponse] # readPrec :: ReadPrec DescribeDatasetImportJobResponse # readListPrec :: ReadPrec [DescribeDatasetImportJobResponse] #
Show DescribeDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods showsPrec :: Int -> DescribeDatasetImportJobResponse -> ShowS # show :: DescribeDatasetImportJobResponse -> String # showList :: [DescribeDatasetImportJobResponse] -> ShowS #
NFData DescribeDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods rnf :: DescribeDatasetImportJobResponse -> () #
Eq DescribeDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods (==) :: DescribeDatasetImportJobResponse -> DescribeDatasetImportJobResponse -> Bool # (/=) :: DescribeDatasetImportJobResponse -> DescribeDatasetImportJobResponse -> Bool #
type Rep DescribeDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob type Rep DescribeDatasetImportJobResponse = D1 ('MetaData "DescribeDatasetImportJobResponse" "Amazonka.Forecast.DescribeDatasetImportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeDatasetImportJobResponse'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "dataSize") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataSource)) :: S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "datasetImportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "datasetImportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "estimatedTimeRemainingInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: S1 ('MetaSel ('Just "fieldStatistics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Statistics)))))) :: (((S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "geolocationFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "timeZone") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "timestampFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "useGeolocationForTimeZone") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))))

newDescribeDatasetImportJobResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeDatasetImportJobResponse'`
-> DescribeDatasetImportJobResponse

Create a value of DescribeDatasetImportJobResponse 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:

DescribeDatasetImportJobResponse, describeDatasetImportJobResponse_creationTime - When the dataset import job was created.

$sel:dataSize:DescribeDatasetImportJobResponse', describeDatasetImportJobResponse_dataSize - The size of the dataset in gigabytes (GB) after the import job has finished.

DescribeDatasetImportJobResponse, describeDatasetImportJobResponse_dataSource - The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data.

If encryption is used, DataSource includes an AWS Key Management Service (KMS) key.

DescribeDatasetImportJobResponse, describeDatasetImportJobResponse_datasetArn - The Amazon Resource Name (ARN) of the dataset that the training data was imported to.

DescribeDatasetImportJob, describeDatasetImportJobResponse_datasetImportJobArn - The ARN of the dataset import job.

DescribeDatasetImportJobResponse, describeDatasetImportJobResponse_datasetImportJobName - The name of the dataset import job.

$sel:estimatedTimeRemainingInMinutes:DescribeDatasetImportJobResponse', describeDatasetImportJobResponse_estimatedTimeRemainingInMinutes - The estimated time remaining in minutes for the dataset import job to complete.

$sel:fieldStatistics:DescribeDatasetImportJobResponse', describeDatasetImportJobResponse_fieldStatistics - Statistical information about each field in the input data.

DescribeDatasetImportJobResponse, describeDatasetImportJobResponse_format - The format of the imported data, CSV or PARQUET.

$sel:geolocationFormat:DescribeDatasetImportJobResponse', describeDatasetImportJobResponse_geolocationFormat - The format of the geolocation attribute. Valid Values:"LAT_LONG" and "CC_POSTALCODE".

DescribeDatasetImportJobResponse, describeDatasetImportJobResponse_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

DescribeDatasetImportJobResponse, describeDatasetImportJobResponse_message - If an error occurred, an informational message about the error.

DescribeDatasetImportJobResponse, describeDatasetImportJobResponse_status - The status of the dataset import job. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
CREATE_STOPPING, CREATE_STOPPED

$sel:timeZone:DescribeDatasetImportJobResponse', describeDatasetImportJobResponse_timeZone - The single time zone applied to every item in the dataset

DescribeDatasetImportJobResponse, describeDatasetImportJobResponse_timestampFormat - The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported

"yyyy-MM-dd"
For the following data frequencies: Y, M, W, and D
"yyyy-MM-dd HH:mm:ss"
For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D

$sel:useGeolocationForTimeZone:DescribeDatasetImportJobResponse', describeDatasetImportJobResponse_useGeolocationForTimeZone - Whether TimeZone is automatically derived from the geolocation attribute.

$sel:httpStatus:DescribeDatasetImportJobResponse', describeDatasetImportJobResponse_httpStatus - The response's http status code.

DescribeExplainability

data DescribeExplainability Source #

See: newDescribeExplainability smart constructor.

Constructors

DescribeExplainability' Text

Instances

Instances details

ToJSON DescribeExplainability Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Methods toJSON :: DescribeExplainability -> Value # toEncoding :: DescribeExplainability -> Encoding # toJSONList :: [DescribeExplainability] -> Value # toEncodingList :: [DescribeExplainability] -> Encoding #
ToHeaders DescribeExplainability Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Methods toHeaders :: DescribeExplainability -> [Header] #
ToPath DescribeExplainability Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Methods toPath :: DescribeExplainability -> ByteString #
ToQuery DescribeExplainability Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Methods toQuery :: DescribeExplainability -> QueryString #
AWSRequest DescribeExplainability Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Associated Types type AWSResponse DescribeExplainability # Methods request :: (Service -> Service) -> DescribeExplainability -> Request DescribeExplainability # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeExplainability -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeExplainability))) #
Generic DescribeExplainability Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Associated Types type Rep DescribeExplainability :: Type -> Type # Methods from :: DescribeExplainability -> Rep DescribeExplainability x # to :: Rep DescribeExplainability x -> DescribeExplainability #
Read DescribeExplainability Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Methods readsPrec :: Int -> ReadS DescribeExplainability # readList :: ReadS [DescribeExplainability] # readPrec :: ReadPrec DescribeExplainability # readListPrec :: ReadPrec [DescribeExplainability] #
Show DescribeExplainability Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Methods showsPrec :: Int -> DescribeExplainability -> ShowS # show :: DescribeExplainability -> String # showList :: [DescribeExplainability] -> ShowS #
NFData DescribeExplainability Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Methods rnf :: DescribeExplainability -> () #
Eq DescribeExplainability Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Methods (==) :: DescribeExplainability -> DescribeExplainability -> Bool # (/=) :: DescribeExplainability -> DescribeExplainability -> Bool #
Hashable DescribeExplainability Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Methods hashWithSalt :: Int -> DescribeExplainability -> Int # hash :: DescribeExplainability -> Int #
type AWSResponse DescribeExplainability Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability type AWSResponse DescribeExplainability = DescribeExplainabilityResponse
type Rep DescribeExplainability Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability type Rep DescribeExplainability = D1 ('MetaData "DescribeExplainability" "Amazonka.Forecast.DescribeExplainability" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeExplainability'" 'PrefixI 'True) (S1 ('MetaSel ('Just "explainabilityArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeExplainability Source #

Arguments

:: Text	`DescribeExplainability`
-> DescribeExplainability

Create a value of DescribeExplainability 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:

DescribeExplainability, describeExplainability_explainabilityArn - The Amazon Resource Name (ARN) of the Explaianability to describe.

data DescribeExplainabilityResponse Source #

See: newDescribeExplainabilityResponse smart constructor.

Constructors

DescribeExplainabilityResponse' (Maybe POSIX) (Maybe DataSource) (Maybe Bool) (Maybe Text) (Maybe Integer) (Maybe Text) (Maybe ExplainabilityConfig) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Schema) (Maybe Text) (Maybe Text) Int

Instances

Instances details

Generic DescribeExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Associated Types type Rep DescribeExplainabilityResponse :: Type -> Type # Methods from :: DescribeExplainabilityResponse -> Rep DescribeExplainabilityResponse x # to :: Rep DescribeExplainabilityResponse x -> DescribeExplainabilityResponse #
Read DescribeExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Methods readsPrec :: Int -> ReadS DescribeExplainabilityResponse # readList :: ReadS [DescribeExplainabilityResponse] # readPrec :: ReadPrec DescribeExplainabilityResponse # readListPrec :: ReadPrec [DescribeExplainabilityResponse] #
Show DescribeExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Methods showsPrec :: Int -> DescribeExplainabilityResponse -> ShowS # show :: DescribeExplainabilityResponse -> String # showList :: [DescribeExplainabilityResponse] -> ShowS #
NFData DescribeExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Methods rnf :: DescribeExplainabilityResponse -> () #
Eq DescribeExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability Methods (==) :: DescribeExplainabilityResponse -> DescribeExplainabilityResponse -> Bool # (/=) :: DescribeExplainabilityResponse -> DescribeExplainabilityResponse -> Bool #
type Rep DescribeExplainabilityResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainability type Rep DescribeExplainabilityResponse = D1 ('MetaData "DescribeExplainabilityResponse" "Amazonka.Forecast.DescribeExplainability" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeExplainabilityResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataSource)) :: S1 ('MetaSel ('Just "enableVisualization") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))) :: ((S1 ('MetaSel ('Just "endDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "estimatedTimeRemainingInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))) :: (S1 ('MetaSel ('Just "explainabilityArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "explainabilityConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExplainabilityConfig))))) :: (((S1 ('MetaSel ('Just "explainabilityName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "schema") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Schema)) :: S1 ('MetaSel ('Just "startDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))))

newDescribeExplainabilityResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeExplainabilityResponse'`
-> DescribeExplainabilityResponse

Create a value of DescribeExplainabilityResponse 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:

DescribeExplainabilityResponse, describeExplainabilityResponse_creationTime - When the Explainability resource was created.

DescribeExplainabilityResponse, describeExplainabilityResponse_dataSource - Undocumented member.

$sel:enableVisualization:DescribeExplainabilityResponse', describeExplainabilityResponse_enableVisualization - Whether the visualization was enabled for the Explainability resource.

$sel:endDateTime:DescribeExplainabilityResponse', describeExplainabilityResponse_endDateTime - If TimePointGranularity is set to SPECIFIC, the last time point in the Explainability.

$sel:estimatedTimeRemainingInMinutes:DescribeExplainabilityResponse', describeExplainabilityResponse_estimatedTimeRemainingInMinutes - The estimated time remaining in minutes for the CreateExplainability job to complete.

DescribeExplainability, describeExplainabilityResponse_explainabilityArn - The Amazon Resource Name (ARN) of the Explainability.

DescribeExplainabilityResponse, describeExplainabilityResponse_explainabilityConfig - The configuration settings that define the granularity of time series and time points for the Explainability.

DescribeExplainabilityResponse, describeExplainabilityResponse_explainabilityName - The name of the Explainability.

DescribeExplainabilityResponse, describeExplainabilityResponse_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

DescribeExplainabilityResponse, describeExplainabilityResponse_message - If an error occurred, a message about the error.

DescribeExplainabilityResponse, describeExplainabilityResponse_resourceArn - The Amazon Resource Name (ARN) of the Predictor or Forecast used to create the Explainability resource.

DescribeExplainabilityResponse, describeExplainabilityResponse_schema - Undocumented member.

$sel:startDateTime:DescribeExplainabilityResponse', describeExplainabilityResponse_startDateTime - If TimePointGranularity is set to SPECIFIC, the first time point in the Explainability.

DescribeExplainabilityResponse, describeExplainabilityResponse_status - The status of the Explainability resource. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

$sel:httpStatus:DescribeExplainabilityResponse', describeExplainabilityResponse_httpStatus - The response's http status code.

DescribeExplainabilityExport

data DescribeExplainabilityExport Source #

See: newDescribeExplainabilityExport smart constructor.

Constructors

DescribeExplainabilityExport' Text

Instances

Instances details

ToJSON DescribeExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Methods toJSON :: DescribeExplainabilityExport -> Value # toEncoding :: DescribeExplainabilityExport -> Encoding # toJSONList :: [DescribeExplainabilityExport] -> Value # toEncodingList :: [DescribeExplainabilityExport] -> Encoding #
ToHeaders DescribeExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Methods toHeaders :: DescribeExplainabilityExport -> [Header] #
ToPath DescribeExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Methods toPath :: DescribeExplainabilityExport -> ByteString #
ToQuery DescribeExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Methods toQuery :: DescribeExplainabilityExport -> QueryString #
AWSRequest DescribeExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Associated Types type AWSResponse DescribeExplainabilityExport # Methods request :: (Service -> Service) -> DescribeExplainabilityExport -> Request DescribeExplainabilityExport # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeExplainabilityExport -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeExplainabilityExport))) #
Generic DescribeExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Associated Types type Rep DescribeExplainabilityExport :: Type -> Type # Methods from :: DescribeExplainabilityExport -> Rep DescribeExplainabilityExport x # to :: Rep DescribeExplainabilityExport x -> DescribeExplainabilityExport #
Read DescribeExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Methods readsPrec :: Int -> ReadS DescribeExplainabilityExport # readList :: ReadS [DescribeExplainabilityExport] # readPrec :: ReadPrec DescribeExplainabilityExport # readListPrec :: ReadPrec [DescribeExplainabilityExport] #
Show DescribeExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Methods showsPrec :: Int -> DescribeExplainabilityExport -> ShowS # show :: DescribeExplainabilityExport -> String # showList :: [DescribeExplainabilityExport] -> ShowS #
NFData DescribeExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Methods rnf :: DescribeExplainabilityExport -> () #
Eq DescribeExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Methods (==) :: DescribeExplainabilityExport -> DescribeExplainabilityExport -> Bool # (/=) :: DescribeExplainabilityExport -> DescribeExplainabilityExport -> Bool #
Hashable DescribeExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Methods hashWithSalt :: Int -> DescribeExplainabilityExport -> Int # hash :: DescribeExplainabilityExport -> Int #
type AWSResponse DescribeExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport type AWSResponse DescribeExplainabilityExport = DescribeExplainabilityExportResponse
type Rep DescribeExplainabilityExport Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport type Rep DescribeExplainabilityExport = D1 ('MetaData "DescribeExplainabilityExport" "Amazonka.Forecast.DescribeExplainabilityExport" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeExplainabilityExport'" 'PrefixI 'True) (S1 ('MetaSel ('Just "explainabilityExportArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeExplainabilityExport Source #

Arguments

:: Text	`DescribeExplainabilityExport`
-> DescribeExplainabilityExport

Create a value of DescribeExplainabilityExport 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:

DescribeExplainabilityExport, describeExplainabilityExport_explainabilityExportArn - The Amazon Resource Name (ARN) of the Explainability export.

data DescribeExplainabilityExportResponse Source #

See: newDescribeExplainabilityExportResponse smart constructor.

Constructors

DescribeExplainabilityExportResponse' (Maybe POSIX) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) Int

Instances

Instances details

Generic DescribeExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Associated Types type Rep DescribeExplainabilityExportResponse :: Type -> Type # Methods from :: DescribeExplainabilityExportResponse -> Rep DescribeExplainabilityExportResponse x # to :: Rep DescribeExplainabilityExportResponse x -> DescribeExplainabilityExportResponse #
Read DescribeExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Methods readsPrec :: Int -> ReadS DescribeExplainabilityExportResponse # readList :: ReadS [DescribeExplainabilityExportResponse] # readPrec :: ReadPrec DescribeExplainabilityExportResponse # readListPrec :: ReadPrec [DescribeExplainabilityExportResponse] #
Show DescribeExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Methods showsPrec :: Int -> DescribeExplainabilityExportResponse -> ShowS # show :: DescribeExplainabilityExportResponse -> String # showList :: [DescribeExplainabilityExportResponse] -> ShowS #
NFData DescribeExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Methods rnf :: DescribeExplainabilityExportResponse -> () #
Eq DescribeExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport Methods (==) :: DescribeExplainabilityExportResponse -> DescribeExplainabilityExportResponse -> Bool # (/=) :: DescribeExplainabilityExportResponse -> DescribeExplainabilityExportResponse -> Bool #
type Rep DescribeExplainabilityExportResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeExplainabilityExport type Rep DescribeExplainabilityExportResponse = D1 ('MetaData "DescribeExplainabilityExportResponse" "Amazonka.Forecast.DescribeExplainabilityExport" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeExplainabilityExportResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataDestination))) :: (S1 ('MetaSel ('Just "explainabilityArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "explainabilityExportArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "explainabilityExportName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))))

newDescribeExplainabilityExportResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeExplainabilityExportResponse'`
-> DescribeExplainabilityExportResponse

Create a value of DescribeExplainabilityExportResponse 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:

DescribeExplainabilityExportResponse, describeExplainabilityExportResponse_creationTime - When the Explainability export was created.

DescribeExplainabilityExportResponse, describeExplainabilityExportResponse_destination - Undocumented member.

DescribeExplainabilityExportResponse, describeExplainabilityExportResponse_explainabilityArn - The Amazon Resource Name (ARN) of the Explainability export.

DescribeExplainabilityExport, describeExplainabilityExportResponse_explainabilityExportArn - The Amazon Resource Name (ARN) of the Explainability export.

DescribeExplainabilityExportResponse, describeExplainabilityExportResponse_explainabilityExportName - The name of the Explainability export.

DescribeExplainabilityExportResponse, describeExplainabilityExportResponse_format - The format of the exported data, CSV or PARQUET.

DescribeExplainabilityExportResponse, describeExplainabilityExportResponse_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

DescribeExplainabilityExportResponse, describeExplainabilityExportResponse_message - Information about any errors that occurred during the export.

DescribeExplainabilityExportResponse, describeExplainabilityExportResponse_status - The status of the Explainability export. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

$sel:httpStatus:DescribeExplainabilityExportResponse', describeExplainabilityExportResponse_httpStatus - The response's http status code.

DescribeForecast

data DescribeForecast Source #

See: newDescribeForecast smart constructor.

Constructors

DescribeForecast' Text

Instances

Instances details

ToJSON DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods toJSON :: DescribeForecast -> Value # toEncoding :: DescribeForecast -> Encoding # toJSONList :: [DescribeForecast] -> Value # toEncodingList :: [DescribeForecast] -> Encoding #
ToHeaders DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods toHeaders :: DescribeForecast -> [Header] #
ToPath DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods toPath :: DescribeForecast -> ByteString #
ToQuery DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods toQuery :: DescribeForecast -> QueryString #
AWSRequest DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Associated Types type AWSResponse DescribeForecast # Methods request :: (Service -> Service) -> DescribeForecast -> Request DescribeForecast # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeForecast -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeForecast))) #
Generic DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Associated Types type Rep DescribeForecast :: Type -> Type # Methods from :: DescribeForecast -> Rep DescribeForecast x # to :: Rep DescribeForecast x -> DescribeForecast #
Read DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods readsPrec :: Int -> ReadS DescribeForecast # readList :: ReadS [DescribeForecast] # readPrec :: ReadPrec DescribeForecast # readListPrec :: ReadPrec [DescribeForecast] #
Show DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods showsPrec :: Int -> DescribeForecast -> ShowS # show :: DescribeForecast -> String # showList :: [DescribeForecast] -> ShowS #
NFData DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods rnf :: DescribeForecast -> () #
Eq DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods (==) :: DescribeForecast -> DescribeForecast -> Bool # (/=) :: DescribeForecast -> DescribeForecast -> Bool #
Hashable DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods hashWithSalt :: Int -> DescribeForecast -> Int # hash :: DescribeForecast -> Int #
type AWSResponse DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast type AWSResponse DescribeForecast = DescribeForecastResponse
type Rep DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast type Rep DescribeForecast = D1 ('MetaData "DescribeForecast" "Amazonka.Forecast.DescribeForecast" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeForecast'" 'PrefixI 'True) (S1 ('MetaSel ('Just "forecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeForecast Source #

Arguments

:: Text	`DescribeForecast`
-> DescribeForecast

Create a value of DescribeForecast 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:

DescribeForecast, describeForecast_forecastArn - The Amazon Resource Name (ARN) of the forecast.

data DescribeForecastResponse Source #

See: newDescribeForecastResponse smart constructor.

Constructors

DescribeForecastResponse' (Maybe POSIX) (Maybe Text) (Maybe Integer) (Maybe Text) (Maybe Text) (Maybe (NonEmpty Text)) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe TimeSeriesSelector) Int

Instances

Instances details

Generic DescribeForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Associated Types type Rep DescribeForecastResponse :: Type -> Type # Methods from :: DescribeForecastResponse -> Rep DescribeForecastResponse x # to :: Rep DescribeForecastResponse x -> DescribeForecastResponse #
Read DescribeForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods readsPrec :: Int -> ReadS DescribeForecastResponse # readList :: ReadS [DescribeForecastResponse] # readPrec :: ReadPrec DescribeForecastResponse # readListPrec :: ReadPrec [DescribeForecastResponse] #
Show DescribeForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods showsPrec :: Int -> DescribeForecastResponse -> ShowS # show :: DescribeForecastResponse -> String # showList :: [DescribeForecastResponse] -> ShowS #
NFData DescribeForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods rnf :: DescribeForecastResponse -> () #
Eq DescribeForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods (==) :: DescribeForecastResponse -> DescribeForecastResponse -> Bool # (/=) :: DescribeForecastResponse -> DescribeForecastResponse -> Bool #
type Rep DescribeForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast type Rep DescribeForecastResponse = D1 ('MetaData "DescribeForecastResponse" "Amazonka.Forecast.DescribeForecast" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeForecastResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "estimatedTimeRemainingInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)))) :: (S1 ('MetaSel ('Just "forecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "forecastName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "forecastTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text)))))) :: ((S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "timeSeriesSelector") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TimeSeriesSelector)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))))

newDescribeForecastResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeForecastResponse'`
-> DescribeForecastResponse

Create a value of DescribeForecastResponse 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:

DescribeForecastResponse, describeForecastResponse_creationTime - When the forecast creation task was created.

DescribeForecastResponse, describeForecastResponse_datasetGroupArn - The ARN of the dataset group that provided the data used to train the predictor.

$sel:estimatedTimeRemainingInMinutes:DescribeForecastResponse', describeForecastResponse_estimatedTimeRemainingInMinutes - The estimated time remaining in minutes for the forecast job to complete.

DescribeForecast, describeForecastResponse_forecastArn - The forecast ARN as specified in the request.

DescribeForecastResponse, describeForecastResponse_forecastName - The name of the forecast.

$sel:forecastTypes:DescribeForecastResponse', describeForecastResponse_forecastTypes - The quantiles at which probabilistic forecasts were generated.

DescribeForecastResponse, describeForecastResponse_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

DescribeForecastResponse, describeForecastResponse_message - If an error occurred, an informational message about the error.

DescribeForecastResponse, describeForecastResponse_predictorArn - The ARN of the predictor used to generate the forecast.

DescribeForecastResponse, describeForecastResponse_status - The status of the forecast. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

The Status of the forecast must be ACTIVE before you can query or export the forecast.

$sel:timeSeriesSelector:DescribeForecastResponse', describeForecastResponse_timeSeriesSelector - The time series to include in the forecast.

$sel:httpStatus:DescribeForecastResponse', describeForecastResponse_httpStatus - The response's http status code.

DescribeForecastExportJob

data DescribeForecastExportJob Source #

See: newDescribeForecastExportJob smart constructor.

Constructors

DescribeForecastExportJob' Text

Instances

Instances details

ToJSON DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods toJSON :: DescribeForecastExportJob -> Value # toEncoding :: DescribeForecastExportJob -> Encoding # toJSONList :: [DescribeForecastExportJob] -> Value # toEncodingList :: [DescribeForecastExportJob] -> Encoding #
ToHeaders DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods toHeaders :: DescribeForecastExportJob -> [Header] #
ToPath DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods toPath :: DescribeForecastExportJob -> ByteString #
ToQuery DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods toQuery :: DescribeForecastExportJob -> QueryString #
AWSRequest DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Associated Types type AWSResponse DescribeForecastExportJob # Methods request :: (Service -> Service) -> DescribeForecastExportJob -> Request DescribeForecastExportJob # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeForecastExportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeForecastExportJob))) #
Generic DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Associated Types type Rep DescribeForecastExportJob :: Type -> Type # Methods from :: DescribeForecastExportJob -> Rep DescribeForecastExportJob x # to :: Rep DescribeForecastExportJob x -> DescribeForecastExportJob #
Read DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods readsPrec :: Int -> ReadS DescribeForecastExportJob # readList :: ReadS [DescribeForecastExportJob] # readPrec :: ReadPrec DescribeForecastExportJob # readListPrec :: ReadPrec [DescribeForecastExportJob] #
Show DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods showsPrec :: Int -> DescribeForecastExportJob -> ShowS # show :: DescribeForecastExportJob -> String # showList :: [DescribeForecastExportJob] -> ShowS #
NFData DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods rnf :: DescribeForecastExportJob -> () #
Eq DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods (==) :: DescribeForecastExportJob -> DescribeForecastExportJob -> Bool # (/=) :: DescribeForecastExportJob -> DescribeForecastExportJob -> Bool #
Hashable DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods hashWithSalt :: Int -> DescribeForecastExportJob -> Int # hash :: DescribeForecastExportJob -> Int #
type AWSResponse DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob type AWSResponse DescribeForecastExportJob = DescribeForecastExportJobResponse
type Rep DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob type Rep DescribeForecastExportJob = D1 ('MetaData "DescribeForecastExportJob" "Amazonka.Forecast.DescribeForecastExportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeForecastExportJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "forecastExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeForecastExportJob Source #

Arguments

:: Text	`DescribeForecastExportJob`
-> DescribeForecastExportJob

Create a value of DescribeForecastExportJob 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:

DescribeForecastExportJob, describeForecastExportJob_forecastExportJobArn - The Amazon Resource Name (ARN) of the forecast export job.

data DescribeForecastExportJobResponse Source #

See: newDescribeForecastExportJobResponse smart constructor.

Constructors

DescribeForecastExportJobResponse' (Maybe POSIX) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) Int

Instances

Instances details

Generic DescribeForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Associated Types type Rep DescribeForecastExportJobResponse :: Type -> Type # Methods from :: DescribeForecastExportJobResponse -> Rep DescribeForecastExportJobResponse x # to :: Rep DescribeForecastExportJobResponse x -> DescribeForecastExportJobResponse #
Read DescribeForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods readsPrec :: Int -> ReadS DescribeForecastExportJobResponse # readList :: ReadS [DescribeForecastExportJobResponse] # readPrec :: ReadPrec DescribeForecastExportJobResponse # readListPrec :: ReadPrec [DescribeForecastExportJobResponse] #
Show DescribeForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods showsPrec :: Int -> DescribeForecastExportJobResponse -> ShowS # show :: DescribeForecastExportJobResponse -> String # showList :: [DescribeForecastExportJobResponse] -> ShowS #
NFData DescribeForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods rnf :: DescribeForecastExportJobResponse -> () #
Eq DescribeForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods (==) :: DescribeForecastExportJobResponse -> DescribeForecastExportJobResponse -> Bool # (/=) :: DescribeForecastExportJobResponse -> DescribeForecastExportJobResponse -> Bool #
type Rep DescribeForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob type Rep DescribeForecastExportJobResponse = D1 ('MetaData "DescribeForecastExportJobResponse" "Amazonka.Forecast.DescribeForecastExportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeForecastExportJobResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataDestination))) :: (S1 ('MetaSel ('Just "forecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "forecastExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "forecastExportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))))

newDescribeForecastExportJobResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeForecastExportJobResponse'`
-> DescribeForecastExportJobResponse

Create a value of DescribeForecastExportJobResponse 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:

DescribeForecastExportJobResponse, describeForecastExportJobResponse_creationTime - When the forecast export job was created.

DescribeForecastExportJobResponse, describeForecastExportJobResponse_destination - The path to the Amazon Simple Storage Service (Amazon S3) bucket where the forecast is exported.

DescribeForecastExportJobResponse, describeForecastExportJobResponse_forecastArn - The Amazon Resource Name (ARN) of the exported forecast.

DescribeForecastExportJob, describeForecastExportJobResponse_forecastExportJobArn - The ARN of the forecast export job.

DescribeForecastExportJobResponse, describeForecastExportJobResponse_forecastExportJobName - The name of the forecast export job.

DescribeForecastExportJobResponse, describeForecastExportJobResponse_format - The format of the exported data, CSV or PARQUET.

DescribeForecastExportJobResponse, describeForecastExportJobResponse_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

DescribeForecastExportJobResponse, describeForecastExportJobResponse_message - If an error occurred, an informational message about the error.

DescribeForecastExportJobResponse, describeForecastExportJobResponse_status - The status of the forecast export job. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

The Status of the forecast export job must be ACTIVE before you can access the forecast in your S3 bucket.

$sel:httpStatus:DescribeForecastExportJobResponse', describeForecastExportJobResponse_httpStatus - The response's http status code.

DescribeMonitor

data DescribeMonitor Source #

See: newDescribeMonitor smart constructor.

Constructors

DescribeMonitor' Text

Instances

Instances details

ToJSON DescribeMonitor Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Methods toJSON :: DescribeMonitor -> Value # toEncoding :: DescribeMonitor -> Encoding # toJSONList :: [DescribeMonitor] -> Value # toEncodingList :: [DescribeMonitor] -> Encoding #
ToHeaders DescribeMonitor Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Methods toHeaders :: DescribeMonitor -> [Header] #
ToPath DescribeMonitor Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Methods toPath :: DescribeMonitor -> ByteString #
ToQuery DescribeMonitor Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Methods toQuery :: DescribeMonitor -> QueryString #
AWSRequest DescribeMonitor Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Associated Types type AWSResponse DescribeMonitor # Methods request :: (Service -> Service) -> DescribeMonitor -> Request DescribeMonitor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeMonitor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeMonitor))) #
Generic DescribeMonitor Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Associated Types type Rep DescribeMonitor :: Type -> Type # Methods from :: DescribeMonitor -> Rep DescribeMonitor x # to :: Rep DescribeMonitor x -> DescribeMonitor #
Read DescribeMonitor Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Methods readsPrec :: Int -> ReadS DescribeMonitor # readList :: ReadS [DescribeMonitor] # readPrec :: ReadPrec DescribeMonitor # readListPrec :: ReadPrec [DescribeMonitor] #
Show DescribeMonitor Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Methods showsPrec :: Int -> DescribeMonitor -> ShowS # show :: DescribeMonitor -> String # showList :: [DescribeMonitor] -> ShowS #
NFData DescribeMonitor Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Methods rnf :: DescribeMonitor -> () #
Eq DescribeMonitor Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Methods (==) :: DescribeMonitor -> DescribeMonitor -> Bool # (/=) :: DescribeMonitor -> DescribeMonitor -> Bool #
Hashable DescribeMonitor Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Methods hashWithSalt :: Int -> DescribeMonitor -> Int # hash :: DescribeMonitor -> Int #
type AWSResponse DescribeMonitor Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor type AWSResponse DescribeMonitor = DescribeMonitorResponse
type Rep DescribeMonitor Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor type Rep DescribeMonitor = D1 ('MetaData "DescribeMonitor" "Amazonka.Forecast.DescribeMonitor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeMonitor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "monitorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeMonitor Source #

Arguments

:: Text	`DescribeMonitor`
-> DescribeMonitor

Create a value of DescribeMonitor 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:

DescribeMonitor, describeMonitor_monitorArn - The Amazon Resource Name (ARN) of the monitor resource to describe.

data DescribeMonitorResponse Source #

See: newDescribeMonitorResponse smart constructor.

Constructors

DescribeMonitorResponse' (Maybe Baseline) (Maybe POSIX) (Maybe Integer) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) Int

Instances

Instances details

Generic DescribeMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Associated Types type Rep DescribeMonitorResponse :: Type -> Type # Methods from :: DescribeMonitorResponse -> Rep DescribeMonitorResponse x # to :: Rep DescribeMonitorResponse x -> DescribeMonitorResponse #
Read DescribeMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Methods readsPrec :: Int -> ReadS DescribeMonitorResponse # readList :: ReadS [DescribeMonitorResponse] # readPrec :: ReadPrec DescribeMonitorResponse # readListPrec :: ReadPrec [DescribeMonitorResponse] #
Show DescribeMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Methods showsPrec :: Int -> DescribeMonitorResponse -> ShowS # show :: DescribeMonitorResponse -> String # showList :: [DescribeMonitorResponse] -> ShowS #
NFData DescribeMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Methods rnf :: DescribeMonitorResponse -> () #
Eq DescribeMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor Methods (==) :: DescribeMonitorResponse -> DescribeMonitorResponse -> Bool # (/=) :: DescribeMonitorResponse -> DescribeMonitorResponse -> Bool #
type Rep DescribeMonitorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeMonitor type Rep DescribeMonitorResponse = D1 ('MetaData "DescribeMonitorResponse" "Amazonka.Forecast.DescribeMonitor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeMonitorResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "baseline") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Baseline)) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "estimatedEvaluationTimeRemainingInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)))) :: (S1 ('MetaSel ('Just "lastEvaluationState") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastEvaluationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))) :: ((S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "monitorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "monitorName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))))

newDescribeMonitorResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeMonitorResponse'`
-> DescribeMonitorResponse

Create a value of DescribeMonitorResponse 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:baseline:DescribeMonitorResponse', describeMonitorResponse_baseline - Metrics you can use as a baseline for comparison purposes. Use these values you interpret monitoring results for an auto predictor.

DescribeMonitorResponse, describeMonitorResponse_creationTime - The timestamp for when the monitor resource was created.

$sel:estimatedEvaluationTimeRemainingInMinutes:DescribeMonitorResponse', describeMonitorResponse_estimatedEvaluationTimeRemainingInMinutes - The estimated number of minutes remaining before the monitor resource finishes its current evaluation.

$sel:lastEvaluationState:DescribeMonitorResponse', describeMonitorResponse_lastEvaluationState - The state of the monitor's latest evaluation.

$sel:lastEvaluationTime:DescribeMonitorResponse', describeMonitorResponse_lastEvaluationTime - The timestamp of the latest evaluation completed by the monitor.

DescribeMonitorResponse, describeMonitorResponse_lastModificationTime - The timestamp of the latest modification to the monitor.

DescribeMonitorResponse, describeMonitorResponse_message - An error message, if any, for the monitor.

DescribeMonitor, describeMonitorResponse_monitorArn - The Amazon Resource Name (ARN) of the monitor resource described.

DescribeMonitorResponse, describeMonitorResponse_monitorName - The name of the monitor.

DescribeMonitorResponse, describeMonitorResponse_resourceArn - The Amazon Resource Name (ARN) of the auto predictor being monitored.

DescribeMonitorResponse, describeMonitorResponse_status - The status of the monitor resource.

$sel:httpStatus:DescribeMonitorResponse', describeMonitorResponse_httpStatus - The response's http status code.

DescribePredictor

data DescribePredictor Source #

See: newDescribePredictor smart constructor.

Constructors

DescribePredictor' Text

Instances

Instances details

ToJSON DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods toJSON :: DescribePredictor -> Value # toEncoding :: DescribePredictor -> Encoding # toJSONList :: [DescribePredictor] -> Value # toEncodingList :: [DescribePredictor] -> Encoding #
ToHeaders DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods toHeaders :: DescribePredictor -> [Header] #
ToPath DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods toPath :: DescribePredictor -> ByteString #
ToQuery DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods toQuery :: DescribePredictor -> QueryString #
AWSRequest DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Associated Types type AWSResponse DescribePredictor # Methods request :: (Service -> Service) -> DescribePredictor -> Request DescribePredictor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribePredictor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribePredictor))) #
Generic DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Associated Types type Rep DescribePredictor :: Type -> Type # Methods from :: DescribePredictor -> Rep DescribePredictor x # to :: Rep DescribePredictor x -> DescribePredictor #
Read DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods readsPrec :: Int -> ReadS DescribePredictor # readList :: ReadS [DescribePredictor] # readPrec :: ReadPrec DescribePredictor # readListPrec :: ReadPrec [DescribePredictor] #
Show DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods showsPrec :: Int -> DescribePredictor -> ShowS # show :: DescribePredictor -> String # showList :: [DescribePredictor] -> ShowS #
NFData DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods rnf :: DescribePredictor -> () #
Eq DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods (==) :: DescribePredictor -> DescribePredictor -> Bool # (/=) :: DescribePredictor -> DescribePredictor -> Bool #
Hashable DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods hashWithSalt :: Int -> DescribePredictor -> Int # hash :: DescribePredictor -> Int #
type AWSResponse DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor type AWSResponse DescribePredictor = DescribePredictorResponse
type Rep DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor type Rep DescribePredictor = D1 ('MetaData "DescribePredictor" "Amazonka.Forecast.DescribePredictor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribePredictor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribePredictor Source #

Arguments

:: Text	`DescribePredictor`
-> DescribePredictor

Create a value of DescribePredictor 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:

DescribePredictor, describePredictor_predictorArn - The Amazon Resource Name (ARN) of the predictor that you want information about.

data DescribePredictorResponse Source #

See: newDescribePredictorResponse smart constructor.

Constructors

DescribePredictorResponse' (Maybe Text) (Maybe [Text]) (Maybe AutoMLOverrideStrategy) (Maybe POSIX) (Maybe [Text]) (Maybe EncryptionConfig) (Maybe Integer) (Maybe EvaluationParameters) (Maybe FeaturizationConfig) (Maybe Int) (Maybe (NonEmpty Text)) (Maybe HyperParameterTuningJobConfig) (Maybe InputDataConfig) (Maybe Bool) (Maybe POSIX) (Maybe Text) (Maybe OptimizationMetric) (Maybe Bool) (Maybe Bool) (Maybe Text) (Maybe PredictorExecutionDetails) (Maybe Text) (Maybe Text) (Maybe (HashMap Text Text)) Int

Instances

Instances details

Generic DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Associated Types type Rep DescribePredictorResponse :: Type -> Type # Methods from :: DescribePredictorResponse -> Rep DescribePredictorResponse x # to :: Rep DescribePredictorResponse x -> DescribePredictorResponse #
Read DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods readsPrec :: Int -> ReadS DescribePredictorResponse # readList :: ReadS [DescribePredictorResponse] # readPrec :: ReadPrec DescribePredictorResponse # readListPrec :: ReadPrec [DescribePredictorResponse] #
Show DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods showsPrec :: Int -> DescribePredictorResponse -> ShowS # show :: DescribePredictorResponse -> String # showList :: [DescribePredictorResponse] -> ShowS #
NFData DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods rnf :: DescribePredictorResponse -> () #
Eq DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods (==) :: DescribePredictorResponse -> DescribePredictorResponse -> Bool # (/=) :: DescribePredictorResponse -> DescribePredictorResponse -> Bool #
type Rep DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor type Rep DescribePredictorResponse = D1 ('MetaData "DescribePredictorResponse" "Amazonka.Forecast.DescribePredictor" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribePredictorResponse'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "algorithmArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "autoMLAlgorithmArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :: S1 ('MetaSel ('Just "autoMLOverrideStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLOverrideStrategy)))) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "datasetImportJobArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :: S1 ('MetaSel ('Just "encryptionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EncryptionConfig))))) :: ((S1 ('MetaSel ('Just "estimatedTimeRemainingInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: (S1 ('MetaSel ('Just "evaluationParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EvaluationParameters)) :: S1 ('MetaSel ('Just "featurizationConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeaturizationConfig)))) :: (S1 ('MetaSel ('Just "forecastHorizon") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: (S1 ('MetaSel ('Just "forecastTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: S1 ('MetaSel ('Just "hPOConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobConfig)))))) :: (((S1 ('MetaSel ('Just "inputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InputDataConfig)) :: (S1 ('MetaSel ('Just "isAutoPredictor") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "optimizationMetric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OptimizationMetric)) :: S1 ('MetaSel ('Just "performAutoML") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))) :: ((S1 ('MetaSel ('Just "performHPO") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "predictorExecutionDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PredictorExecutionDetails)))) :: ((S1 ('MetaSel ('Just "predictorName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "trainingParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))))

newDescribePredictorResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribePredictorResponse'`
-> DescribePredictorResponse

Create a value of DescribePredictorResponse 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:

DescribePredictorResponse, describePredictorResponse_algorithmArn - The Amazon Resource Name (ARN) of the algorithm used for model training.

$sel:autoMLAlgorithmArns:DescribePredictorResponse', describePredictorResponse_autoMLAlgorithmArns - When PerformAutoML is specified, the ARN of the chosen algorithm.

$sel:autoMLOverrideStrategy:DescribePredictorResponse', describePredictorResponse_autoMLOverrideStrategy - The LatencyOptimized AutoML override strategy is only available in private beta. Contact AWS Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

DescribePredictorResponse, describePredictorResponse_creationTime - When the model training task was created.

$sel:datasetImportJobArns:DescribePredictorResponse', describePredictorResponse_datasetImportJobArns - An array of the ARNs of the dataset import jobs used to import training data for the predictor.

$sel:encryptionConfig:DescribePredictorResponse', describePredictorResponse_encryptionConfig - An AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.

$sel:estimatedTimeRemainingInMinutes:DescribePredictorResponse', describePredictorResponse_estimatedTimeRemainingInMinutes - The estimated time remaining in minutes for the predictor training job to complete.

$sel:evaluationParameters:DescribePredictorResponse', describePredictorResponse_evaluationParameters - Used to override the default evaluation parameters of the specified algorithm. Amazon Forecast evaluates a predictor by splitting a dataset into training data and testing data. The evaluation parameters define how to perform the split and the number of iterations.

$sel:featurizationConfig:DescribePredictorResponse', describePredictorResponse_featurizationConfig - The featurization configuration.

$sel:forecastHorizon:DescribePredictorResponse', describePredictorResponse_forecastHorizon - The number of time-steps of the forecast. The forecast horizon is also called the prediction length.

$sel:forecastTypes:DescribePredictorResponse', describePredictorResponse_forecastTypes - The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"]

$sel:hPOConfig:DescribePredictorResponse', describePredictorResponse_hPOConfig - The hyperparameter override values for the algorithm.

$sel:inputDataConfig:DescribePredictorResponse', describePredictorResponse_inputDataConfig - Describes the dataset group that contains the data to use to train the predictor.

DescribePredictorResponse, describePredictorResponse_isAutoPredictor - Whether the predictor was created with CreateAutoPredictor.

DescribePredictorResponse, describePredictorResponse_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

DescribePredictorResponse, describePredictorResponse_message - If an error occurred, an informational message about the error.

$sel:optimizationMetric:DescribePredictorResponse', describePredictorResponse_optimizationMetric - The accuracy metric used to optimize the predictor.

$sel:performAutoML:DescribePredictorResponse', describePredictorResponse_performAutoML - Whether the predictor is set to perform AutoML.

$sel:performHPO:DescribePredictorResponse', describePredictorResponse_performHPO - Whether the predictor is set to perform hyperparameter optimization (HPO).

DescribePredictor, describePredictorResponse_predictorArn - The ARN of the predictor.

$sel:predictorExecutionDetails:DescribePredictorResponse', describePredictorResponse_predictorExecutionDetails - Details on the the status and results of the backtests performed to evaluate the accuracy of the predictor. You specify the number of backtests to perform when you call the operation.

DescribePredictorResponse, describePredictorResponse_predictorName - The name of the predictor.

DescribePredictorResponse, describePredictorResponse_status - The status of the predictor. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
CREATE_STOPPING, CREATE_STOPPED

The Status of the predictor must be ACTIVE before you can use the predictor to create a forecast.

$sel:trainingParameters:DescribePredictorResponse', describePredictorResponse_trainingParameters - The default training parameters or overrides selected during model training. When running AutoML or choosing HPO with CNN-QR or DeepAR+, the optimized values for the chosen hyperparameters are returned. For more information, see aws-forecast-choosing-recipes.

$sel:httpStatus:DescribePredictorResponse', describePredictorResponse_httpStatus - The response's http status code.

DescribePredictorBacktestExportJob

data DescribePredictorBacktestExportJob Source #

See: newDescribePredictorBacktestExportJob smart constructor.

Constructors

DescribePredictorBacktestExportJob' Text

Instances

Instances details

ToJSON DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods toJSON :: DescribePredictorBacktestExportJob -> Value # toEncoding :: DescribePredictorBacktestExportJob -> Encoding # toJSONList :: [DescribePredictorBacktestExportJob] -> Value # toEncodingList :: [DescribePredictorBacktestExportJob] -> Encoding #
ToHeaders DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods toHeaders :: DescribePredictorBacktestExportJob -> [Header] #
ToPath DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods toPath :: DescribePredictorBacktestExportJob -> ByteString #
ToQuery DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods toQuery :: DescribePredictorBacktestExportJob -> QueryString #
AWSRequest DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Associated Types type AWSResponse DescribePredictorBacktestExportJob # Methods request :: (Service -> Service) -> DescribePredictorBacktestExportJob -> Request DescribePredictorBacktestExportJob # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribePredictorBacktestExportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribePredictorBacktestExportJob))) #
Generic DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Associated Types type Rep DescribePredictorBacktestExportJob :: Type -> Type # Methods from :: DescribePredictorBacktestExportJob -> Rep DescribePredictorBacktestExportJob x # to :: Rep DescribePredictorBacktestExportJob x -> DescribePredictorBacktestExportJob #
Read DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods readsPrec :: Int -> ReadS DescribePredictorBacktestExportJob # readList :: ReadS [DescribePredictorBacktestExportJob] # readPrec :: ReadPrec DescribePredictorBacktestExportJob # readListPrec :: ReadPrec [DescribePredictorBacktestExportJob] #
Show DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods showsPrec :: Int -> DescribePredictorBacktestExportJob -> ShowS # show :: DescribePredictorBacktestExportJob -> String # showList :: [DescribePredictorBacktestExportJob] -> ShowS #
NFData DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods rnf :: DescribePredictorBacktestExportJob -> () #
Eq DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods (==) :: DescribePredictorBacktestExportJob -> DescribePredictorBacktestExportJob -> Bool # (/=) :: DescribePredictorBacktestExportJob -> DescribePredictorBacktestExportJob -> Bool #
Hashable DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods hashWithSalt :: Int -> DescribePredictorBacktestExportJob -> Int # hash :: DescribePredictorBacktestExportJob -> Int #
type AWSResponse DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob type AWSResponse DescribePredictorBacktestExportJob = DescribePredictorBacktestExportJobResponse
type Rep DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob type Rep DescribePredictorBacktestExportJob = D1 ('MetaData "DescribePredictorBacktestExportJob" "Amazonka.Forecast.DescribePredictorBacktestExportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribePredictorBacktestExportJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorBacktestExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribePredictorBacktestExportJob Source #

Arguments

:: Text	`DescribePredictorBacktestExportJob`
-> DescribePredictorBacktestExportJob

Create a value of DescribePredictorBacktestExportJob 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:

DescribePredictorBacktestExportJob, describePredictorBacktestExportJob_predictorBacktestExportJobArn - The Amazon Resource Name (ARN) of the predictor backtest export job.

data DescribePredictorBacktestExportJobResponse Source #

See: newDescribePredictorBacktestExportJobResponse smart constructor.

Constructors

DescribePredictorBacktestExportJobResponse' (Maybe POSIX) (Maybe DataDestination) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) Int

Instances

Instances details

Generic DescribePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Associated Types type Rep DescribePredictorBacktestExportJobResponse :: Type -> Type # Methods from :: DescribePredictorBacktestExportJobResponse -> Rep DescribePredictorBacktestExportJobResponse x # to :: Rep DescribePredictorBacktestExportJobResponse x -> DescribePredictorBacktestExportJobResponse #
Read DescribePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods readsPrec :: Int -> ReadS DescribePredictorBacktestExportJobResponse # readList :: ReadS [DescribePredictorBacktestExportJobResponse] # readPrec :: ReadPrec DescribePredictorBacktestExportJobResponse # readListPrec :: ReadPrec [DescribePredictorBacktestExportJobResponse] #
Show DescribePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods showsPrec :: Int -> DescribePredictorBacktestExportJobResponse -> ShowS # show :: DescribePredictorBacktestExportJobResponse -> String # showList :: [DescribePredictorBacktestExportJobResponse] -> ShowS #
NFData DescribePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods rnf :: DescribePredictorBacktestExportJobResponse -> () #
Eq DescribePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods (==) :: DescribePredictorBacktestExportJobResponse -> DescribePredictorBacktestExportJobResponse -> Bool # (/=) :: DescribePredictorBacktestExportJobResponse -> DescribePredictorBacktestExportJobResponse -> Bool #
type Rep DescribePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob type Rep DescribePredictorBacktestExportJobResponse = D1 ('MetaData "DescribePredictorBacktestExportJobResponse" "Amazonka.Forecast.DescribePredictorBacktestExportJob" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribePredictorBacktestExportJobResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataDestination))) :: (S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "predictorBacktestExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "predictorBacktestExportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))))

newDescribePredictorBacktestExportJobResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribePredictorBacktestExportJobResponse'`
-> DescribePredictorBacktestExportJobResponse

Create a value of DescribePredictorBacktestExportJobResponse 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:

DescribePredictorBacktestExportJobResponse, describePredictorBacktestExportJobResponse_creationTime - When the predictor backtest export job was created.

DescribePredictorBacktestExportJobResponse, describePredictorBacktestExportJobResponse_destination - Undocumented member.

DescribePredictorBacktestExportJobResponse, describePredictorBacktestExportJobResponse_format - The format of the exported data, CSV or PARQUET.

DescribePredictorBacktestExportJobResponse, describePredictorBacktestExportJobResponse_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

DescribePredictorBacktestExportJobResponse, describePredictorBacktestExportJobResponse_message - Information about any errors that may have occurred during the backtest export.

DescribePredictorBacktestExportJobResponse, describePredictorBacktestExportJobResponse_predictorArn - The Amazon Resource Name (ARN) of the predictor.

DescribePredictorBacktestExportJob, describePredictorBacktestExportJobResponse_predictorBacktestExportJobArn - The Amazon Resource Name (ARN) of the predictor backtest export job.

DescribePredictorBacktestExportJobResponse, describePredictorBacktestExportJobResponse_predictorBacktestExportJobName - The name of the predictor backtest export job.

DescribePredictorBacktestExportJobResponse, describePredictorBacktestExportJobResponse_status - The status of the predictor backtest export job. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

$sel:httpStatus:DescribePredictorBacktestExportJobResponse', describePredictorBacktestExportJobResponse_httpStatus - The response's http status code.

DescribeWhatIfAnalysis

data DescribeWhatIfAnalysis Source #

See: newDescribeWhatIfAnalysis smart constructor.

Constructors

DescribeWhatIfAnalysis' Text

Instances

Instances details

ToJSON DescribeWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Methods toJSON :: DescribeWhatIfAnalysis -> Value # toEncoding :: DescribeWhatIfAnalysis -> Encoding # toJSONList :: [DescribeWhatIfAnalysis] -> Value # toEncodingList :: [DescribeWhatIfAnalysis] -> Encoding #
ToHeaders DescribeWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Methods toHeaders :: DescribeWhatIfAnalysis -> [Header] #
ToPath DescribeWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Methods toPath :: DescribeWhatIfAnalysis -> ByteString #
ToQuery DescribeWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Methods toQuery :: DescribeWhatIfAnalysis -> QueryString #
AWSRequest DescribeWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Associated Types type AWSResponse DescribeWhatIfAnalysis # Methods request :: (Service -> Service) -> DescribeWhatIfAnalysis -> Request DescribeWhatIfAnalysis # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeWhatIfAnalysis -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeWhatIfAnalysis))) #
Generic DescribeWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Associated Types type Rep DescribeWhatIfAnalysis :: Type -> Type # Methods from :: DescribeWhatIfAnalysis -> Rep DescribeWhatIfAnalysis x # to :: Rep DescribeWhatIfAnalysis x -> DescribeWhatIfAnalysis #
Read DescribeWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Methods readsPrec :: Int -> ReadS DescribeWhatIfAnalysis # readList :: ReadS [DescribeWhatIfAnalysis] # readPrec :: ReadPrec DescribeWhatIfAnalysis # readListPrec :: ReadPrec [DescribeWhatIfAnalysis] #
Show DescribeWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Methods showsPrec :: Int -> DescribeWhatIfAnalysis -> ShowS # show :: DescribeWhatIfAnalysis -> String # showList :: [DescribeWhatIfAnalysis] -> ShowS #
NFData DescribeWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Methods rnf :: DescribeWhatIfAnalysis -> () #
Eq DescribeWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Methods (==) :: DescribeWhatIfAnalysis -> DescribeWhatIfAnalysis -> Bool # (/=) :: DescribeWhatIfAnalysis -> DescribeWhatIfAnalysis -> Bool #
Hashable DescribeWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Methods hashWithSalt :: Int -> DescribeWhatIfAnalysis -> Int # hash :: DescribeWhatIfAnalysis -> Int #
type AWSResponse DescribeWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis type AWSResponse DescribeWhatIfAnalysis = DescribeWhatIfAnalysisResponse
type Rep DescribeWhatIfAnalysis Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis type Rep DescribeWhatIfAnalysis = D1 ('MetaData "DescribeWhatIfAnalysis" "Amazonka.Forecast.DescribeWhatIfAnalysis" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeWhatIfAnalysis'" 'PrefixI 'True) (S1 ('MetaSel ('Just "whatIfAnalysisArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeWhatIfAnalysis Source #

Arguments

:: Text	`DescribeWhatIfAnalysis`
-> DescribeWhatIfAnalysis

Create a value of DescribeWhatIfAnalysis 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:

DescribeWhatIfAnalysis, describeWhatIfAnalysis_whatIfAnalysisArn - The Amazon Resource Name (ARN) of the what-if analysis that you are interested in.

data DescribeWhatIfAnalysisResponse Source #

See: newDescribeWhatIfAnalysisResponse smart constructor.

Constructors

DescribeWhatIfAnalysisResponse' (Maybe POSIX) (Maybe Integer) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe TimeSeriesSelector) (Maybe Text) (Maybe Text) Int

Instances

Instances details

Generic DescribeWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Associated Types type Rep DescribeWhatIfAnalysisResponse :: Type -> Type # Methods from :: DescribeWhatIfAnalysisResponse -> Rep DescribeWhatIfAnalysisResponse x # to :: Rep DescribeWhatIfAnalysisResponse x -> DescribeWhatIfAnalysisResponse #
Read DescribeWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Methods readsPrec :: Int -> ReadS DescribeWhatIfAnalysisResponse # readList :: ReadS [DescribeWhatIfAnalysisResponse] # readPrec :: ReadPrec DescribeWhatIfAnalysisResponse # readListPrec :: ReadPrec [DescribeWhatIfAnalysisResponse] #
Show DescribeWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Methods showsPrec :: Int -> DescribeWhatIfAnalysisResponse -> ShowS # show :: DescribeWhatIfAnalysisResponse -> String # showList :: [DescribeWhatIfAnalysisResponse] -> ShowS #
NFData DescribeWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Methods rnf :: DescribeWhatIfAnalysisResponse -> () #
Eq DescribeWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis Methods (==) :: DescribeWhatIfAnalysisResponse -> DescribeWhatIfAnalysisResponse -> Bool # (/=) :: DescribeWhatIfAnalysisResponse -> DescribeWhatIfAnalysisResponse -> Bool #
type Rep DescribeWhatIfAnalysisResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfAnalysis type Rep DescribeWhatIfAnalysisResponse = D1 ('MetaData "DescribeWhatIfAnalysisResponse" "Amazonka.Forecast.DescribeWhatIfAnalysis" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeWhatIfAnalysisResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "estimatedTimeRemainingInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))) :: (S1 ('MetaSel ('Just "forecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "timeSeriesSelector") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TimeSeriesSelector))) :: (S1 ('MetaSel ('Just "whatIfAnalysisArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "whatIfAnalysisName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))))

newDescribeWhatIfAnalysisResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeWhatIfAnalysisResponse'`
-> DescribeWhatIfAnalysisResponse

Create a value of DescribeWhatIfAnalysisResponse 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:

DescribeWhatIfAnalysisResponse, describeWhatIfAnalysisResponse_creationTime - When the what-if analysis was created.

$sel:estimatedTimeRemainingInMinutes:DescribeWhatIfAnalysisResponse', describeWhatIfAnalysisResponse_estimatedTimeRemainingInMinutes - The approximate time remaining to complete the what-if analysis, in minutes.

DescribeWhatIfAnalysisResponse, describeWhatIfAnalysisResponse_forecastArn - The Amazon Resource Name (ARN) of the what-if forecast.

DescribeWhatIfAnalysisResponse, describeWhatIfAnalysisResponse_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

DescribeWhatIfAnalysisResponse, describeWhatIfAnalysisResponse_message - If an error occurred, an informational message about the error.

DescribeWhatIfAnalysisResponse, describeWhatIfAnalysisResponse_status - The status of the what-if analysis. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

The Status of the what-if analysis must be ACTIVE before you can access the analysis.

$sel:timeSeriesSelector:DescribeWhatIfAnalysisResponse', describeWhatIfAnalysisResponse_timeSeriesSelector - Undocumented member.

DescribeWhatIfAnalysis, describeWhatIfAnalysisResponse_whatIfAnalysisArn - The Amazon Resource Name (ARN) of the what-if analysis.

DescribeWhatIfAnalysisResponse, describeWhatIfAnalysisResponse_whatIfAnalysisName - The name of the what-if analysis.

$sel:httpStatus:DescribeWhatIfAnalysisResponse', describeWhatIfAnalysisResponse_httpStatus - The response's http status code.

DescribeWhatIfForecast

data DescribeWhatIfForecast Source #

See: newDescribeWhatIfForecast smart constructor.

Constructors

DescribeWhatIfForecast' Text

Instances

Instances details

ToJSON DescribeWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Methods toJSON :: DescribeWhatIfForecast -> Value # toEncoding :: DescribeWhatIfForecast -> Encoding # toJSONList :: [DescribeWhatIfForecast] -> Value # toEncodingList :: [DescribeWhatIfForecast] -> Encoding #
ToHeaders DescribeWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Methods toHeaders :: DescribeWhatIfForecast -> [Header] #
ToPath DescribeWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Methods toPath :: DescribeWhatIfForecast -> ByteString #
ToQuery DescribeWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Methods toQuery :: DescribeWhatIfForecast -> QueryString #
AWSRequest DescribeWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Associated Types type AWSResponse DescribeWhatIfForecast # Methods request :: (Service -> Service) -> DescribeWhatIfForecast -> Request DescribeWhatIfForecast # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeWhatIfForecast -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeWhatIfForecast))) #
Generic DescribeWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Associated Types type Rep DescribeWhatIfForecast :: Type -> Type # Methods from :: DescribeWhatIfForecast -> Rep DescribeWhatIfForecast x # to :: Rep DescribeWhatIfForecast x -> DescribeWhatIfForecast #
Read DescribeWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Methods readsPrec :: Int -> ReadS DescribeWhatIfForecast # readList :: ReadS [DescribeWhatIfForecast] # readPrec :: ReadPrec DescribeWhatIfForecast # readListPrec :: ReadPrec [DescribeWhatIfForecast] #
Show DescribeWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Methods showsPrec :: Int -> DescribeWhatIfForecast -> ShowS # show :: DescribeWhatIfForecast -> String # showList :: [DescribeWhatIfForecast] -> ShowS #
NFData DescribeWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Methods rnf :: DescribeWhatIfForecast -> () #
Eq DescribeWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Methods (==) :: DescribeWhatIfForecast -> DescribeWhatIfForecast -> Bool # (/=) :: DescribeWhatIfForecast -> DescribeWhatIfForecast -> Bool #
Hashable DescribeWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Methods hashWithSalt :: Int -> DescribeWhatIfForecast -> Int # hash :: DescribeWhatIfForecast -> Int #
type AWSResponse DescribeWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast type AWSResponse DescribeWhatIfForecast = DescribeWhatIfForecastResponse
type Rep DescribeWhatIfForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast type Rep DescribeWhatIfForecast = D1 ('MetaData "DescribeWhatIfForecast" "Amazonka.Forecast.DescribeWhatIfForecast" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeWhatIfForecast'" 'PrefixI 'True) (S1 ('MetaSel ('Just "whatIfForecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeWhatIfForecast Source #

Arguments

:: Text	`DescribeWhatIfForecast`
-> DescribeWhatIfForecast

Create a value of DescribeWhatIfForecast 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:

DescribeWhatIfForecast, describeWhatIfForecast_whatIfForecastArn - The Amazon Resource Name (ARN) of the what-if forecast that you are interested in.

data DescribeWhatIfForecastResponse Source #

See: newDescribeWhatIfForecastResponse smart constructor.

Constructors

DescribeWhatIfForecastResponse' (Maybe POSIX) (Maybe Integer) (Maybe (NonEmpty Text)) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe TimeSeriesReplacementsDataSource) (Maybe [TimeSeriesTransformation]) (Maybe Text) (Maybe Text) (Maybe Text) Int

Instances

Instances details

Generic DescribeWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Associated Types type Rep DescribeWhatIfForecastResponse :: Type -> Type # Methods from :: DescribeWhatIfForecastResponse -> Rep DescribeWhatIfForecastResponse x # to :: Rep DescribeWhatIfForecastResponse x -> DescribeWhatIfForecastResponse #
Read DescribeWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Methods readsPrec :: Int -> ReadS DescribeWhatIfForecastResponse # readList :: ReadS [DescribeWhatIfForecastResponse] # readPrec :: ReadPrec DescribeWhatIfForecastResponse # readListPrec :: ReadPrec [DescribeWhatIfForecastResponse] #
Show DescribeWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Methods showsPrec :: Int -> DescribeWhatIfForecastResponse -> ShowS # show :: DescribeWhatIfForecastResponse -> String # showList :: [DescribeWhatIfForecastResponse] -> ShowS #
NFData DescribeWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Methods rnf :: DescribeWhatIfForecastResponse -> () #
Eq DescribeWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast Methods (==) :: DescribeWhatIfForecastResponse -> DescribeWhatIfForecastResponse -> Bool # (/=) :: DescribeWhatIfForecastResponse -> DescribeWhatIfForecastResponse -> Bool #
type Rep DescribeWhatIfForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecast type Rep DescribeWhatIfForecastResponse = D1 ('MetaData "DescribeWhatIfForecastResponse" "Amazonka.Forecast.DescribeWhatIfForecast" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeWhatIfForecastResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "estimatedTimeRemainingInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: S1 ('MetaSel ('Just "forecastTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))))) :: (S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "timeSeriesReplacementsDataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TimeSeriesReplacementsDataSource)) :: (S1 ('MetaSel ('Just "timeSeriesTransformations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [TimeSeriesTransformation])) :: S1 ('MetaSel ('Just "whatIfAnalysisArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "whatIfForecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "whatIfForecastName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))))

newDescribeWhatIfForecastResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeWhatIfForecastResponse'`
-> DescribeWhatIfForecastResponse

Create a value of DescribeWhatIfForecastResponse 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:

DescribeWhatIfForecastResponse, describeWhatIfForecastResponse_creationTime - When the what-if forecast was created.

$sel:estimatedTimeRemainingInMinutes:DescribeWhatIfForecastResponse', describeWhatIfForecastResponse_estimatedTimeRemainingInMinutes - The approximate time remaining to complete the what-if forecast, in minutes.

$sel:forecastTypes:DescribeWhatIfForecastResponse', describeWhatIfForecastResponse_forecastTypes - The quantiles at which probabilistic forecasts are generated. You can specify up to 5 quantiles per what-if forecast in the CreateWhatIfForecast operation. If you didn't specify quantiles, the default values are ["0.1", "0.5", "0.9"].

DescribeWhatIfForecastResponse, describeWhatIfForecastResponse_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

DescribeWhatIfForecastResponse, describeWhatIfForecastResponse_message - If an error occurred, an informational message about the error.

DescribeWhatIfForecastResponse, describeWhatIfForecastResponse_status - The status of the what-if forecast. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

The Status of the what-if forecast must be ACTIVE before you can access the forecast.

$sel:timeSeriesReplacementsDataSource:DescribeWhatIfForecastResponse', describeWhatIfForecastResponse_timeSeriesReplacementsDataSource - An array of S3Config, Schema, and Format elements that describe the replacement time series.

$sel:timeSeriesTransformations:DescribeWhatIfForecastResponse', describeWhatIfForecastResponse_timeSeriesTransformations - An array of Action and TimeSeriesConditions elements that describe what transformations were applied to which time series.

DescribeWhatIfForecastResponse, describeWhatIfForecastResponse_whatIfAnalysisArn - The Amazon Resource Name (ARN) of the what-if analysis that contains this forecast.

DescribeWhatIfForecast, describeWhatIfForecastResponse_whatIfForecastArn - The Amazon Resource Name (ARN) of the what-if forecast.

DescribeWhatIfForecastResponse, describeWhatIfForecastResponse_whatIfForecastName - The name of the what-if forecast.

$sel:httpStatus:DescribeWhatIfForecastResponse', describeWhatIfForecastResponse_httpStatus - The response's http status code.

DescribeWhatIfForecastExport

data DescribeWhatIfForecastExport Source #

See: newDescribeWhatIfForecastExport smart constructor.

Constructors

DescribeWhatIfForecastExport' Text

Instances

Instances details

ToJSON DescribeWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Methods toJSON :: DescribeWhatIfForecastExport -> Value # toEncoding :: DescribeWhatIfForecastExport -> Encoding # toJSONList :: [DescribeWhatIfForecastExport] -> Value # toEncodingList :: [DescribeWhatIfForecastExport] -> Encoding #
ToHeaders DescribeWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Methods toHeaders :: DescribeWhatIfForecastExport -> [Header] #
ToPath DescribeWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Methods toPath :: DescribeWhatIfForecastExport -> ByteString #
ToQuery DescribeWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Methods toQuery :: DescribeWhatIfForecastExport -> QueryString #
AWSRequest DescribeWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Associated Types type AWSResponse DescribeWhatIfForecastExport # Methods request :: (Service -> Service) -> DescribeWhatIfForecastExport -> Request DescribeWhatIfForecastExport # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeWhatIfForecastExport -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeWhatIfForecastExport))) #
Generic DescribeWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Associated Types type Rep DescribeWhatIfForecastExport :: Type -> Type # Methods from :: DescribeWhatIfForecastExport -> Rep DescribeWhatIfForecastExport x # to :: Rep DescribeWhatIfForecastExport x -> DescribeWhatIfForecastExport #
Read DescribeWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Methods readsPrec :: Int -> ReadS DescribeWhatIfForecastExport # readList :: ReadS [DescribeWhatIfForecastExport] # readPrec :: ReadPrec DescribeWhatIfForecastExport # readListPrec :: ReadPrec [DescribeWhatIfForecastExport] #
Show DescribeWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Methods showsPrec :: Int -> DescribeWhatIfForecastExport -> ShowS # show :: DescribeWhatIfForecastExport -> String # showList :: [DescribeWhatIfForecastExport] -> ShowS #
NFData DescribeWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Methods rnf :: DescribeWhatIfForecastExport -> () #
Eq DescribeWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Methods (==) :: DescribeWhatIfForecastExport -> DescribeWhatIfForecastExport -> Bool # (/=) :: DescribeWhatIfForecastExport -> DescribeWhatIfForecastExport -> Bool #
Hashable DescribeWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Methods hashWithSalt :: Int -> DescribeWhatIfForecastExport -> Int # hash :: DescribeWhatIfForecastExport -> Int #
type AWSResponse DescribeWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport type AWSResponse DescribeWhatIfForecastExport = DescribeWhatIfForecastExportResponse
type Rep DescribeWhatIfForecastExport Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport type Rep DescribeWhatIfForecastExport = D1 ('MetaData "DescribeWhatIfForecastExport" "Amazonka.Forecast.DescribeWhatIfForecastExport" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeWhatIfForecastExport'" 'PrefixI 'True) (S1 ('MetaSel ('Just "whatIfForecastExportArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeWhatIfForecastExport Source #

Arguments

:: Text	`DescribeWhatIfForecastExport`
-> DescribeWhatIfForecastExport

Create a value of DescribeWhatIfForecastExport 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:

DescribeWhatIfForecastExport, describeWhatIfForecastExport_whatIfForecastExportArn - The Amazon Resource Name (ARN) of the what-if forecast export that you are interested in.

data DescribeWhatIfForecastExportResponse Source #

See: newDescribeWhatIfForecastExportResponse smart constructor.

Constructors

DescribeWhatIfForecastExportResponse' (Maybe POSIX) (Maybe DataDestination) (Maybe Integer) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe [Text]) (Maybe Text) (Maybe Text) Int

Instances

Instances details

Generic DescribeWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Associated Types type Rep DescribeWhatIfForecastExportResponse :: Type -> Type # Methods from :: DescribeWhatIfForecastExportResponse -> Rep DescribeWhatIfForecastExportResponse x # to :: Rep DescribeWhatIfForecastExportResponse x -> DescribeWhatIfForecastExportResponse #
Read DescribeWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Methods readsPrec :: Int -> ReadS DescribeWhatIfForecastExportResponse # readList :: ReadS [DescribeWhatIfForecastExportResponse] # readPrec :: ReadPrec DescribeWhatIfForecastExportResponse # readListPrec :: ReadPrec [DescribeWhatIfForecastExportResponse] #
Show DescribeWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Methods showsPrec :: Int -> DescribeWhatIfForecastExportResponse -> ShowS # show :: DescribeWhatIfForecastExportResponse -> String # showList :: [DescribeWhatIfForecastExportResponse] -> ShowS #
NFData DescribeWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Methods rnf :: DescribeWhatIfForecastExportResponse -> () #
Eq DescribeWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport Methods (==) :: DescribeWhatIfForecastExportResponse -> DescribeWhatIfForecastExportResponse -> Bool # (/=) :: DescribeWhatIfForecastExportResponse -> DescribeWhatIfForecastExportResponse -> Bool #
type Rep DescribeWhatIfForecastExportResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeWhatIfForecastExport type Rep DescribeWhatIfForecastExportResponse = D1 ('MetaData "DescribeWhatIfForecastExportResponse" "Amazonka.Forecast.DescribeWhatIfForecastExport" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DescribeWhatIfForecastExportResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataDestination))) :: (S1 ('MetaSel ('Just "estimatedTimeRemainingInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: (S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))) :: ((S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "whatIfForecastArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])))) :: (S1 ('MetaSel ('Just "whatIfForecastExportArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "whatIfForecastExportName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))))

newDescribeWhatIfForecastExportResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeWhatIfForecastExportResponse'`
-> DescribeWhatIfForecastExportResponse

Create a value of DescribeWhatIfForecastExportResponse 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:

DescribeWhatIfForecastExportResponse, describeWhatIfForecastExportResponse_creationTime - When the what-if forecast export was created.

DescribeWhatIfForecastExportResponse, describeWhatIfForecastExportResponse_destination - Undocumented member.

$sel:estimatedTimeRemainingInMinutes:DescribeWhatIfForecastExportResponse', describeWhatIfForecastExportResponse_estimatedTimeRemainingInMinutes - The approximate time remaining to complete the what-if forecast export, in minutes.

DescribeWhatIfForecastExportResponse, describeWhatIfForecastExportResponse_format - The format of the exported data, CSV or PARQUET.

DescribeWhatIfForecastExportResponse, describeWhatIfForecastExportResponse_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

DescribeWhatIfForecastExportResponse, describeWhatIfForecastExportResponse_message - If an error occurred, an informational message about the error.

DescribeWhatIfForecastExportResponse, describeWhatIfForecastExportResponse_status - The status of the what-if forecast. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

The Status of the what-if forecast export must be ACTIVE before you can access the forecast export.

DescribeWhatIfForecastExportResponse, describeWhatIfForecastExportResponse_whatIfForecastArns - An array of Amazon Resource Names (ARNs) that represent all of the what-if forecasts exported in this resource.

DescribeWhatIfForecastExport, describeWhatIfForecastExportResponse_whatIfForecastExportArn - The Amazon Resource Name (ARN) of the what-if forecast export.

DescribeWhatIfForecastExportResponse, describeWhatIfForecastExportResponse_whatIfForecastExportName - The name of the what-if forecast export.

$sel:httpStatus:DescribeWhatIfForecastExportResponse', describeWhatIfForecastExportResponse_httpStatus - The response's http status code.

GetAccuracyMetrics

data GetAccuracyMetrics Source #

See: newGetAccuracyMetrics smart constructor.

Constructors

GetAccuracyMetrics' Text

Instances

Instances details

ToJSON GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods toJSON :: GetAccuracyMetrics -> Value # toEncoding :: GetAccuracyMetrics -> Encoding # toJSONList :: [GetAccuracyMetrics] -> Value # toEncodingList :: [GetAccuracyMetrics] -> Encoding #
ToHeaders GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods toHeaders :: GetAccuracyMetrics -> [Header] #
ToPath GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods toPath :: GetAccuracyMetrics -> ByteString #
ToQuery GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods toQuery :: GetAccuracyMetrics -> QueryString #
AWSRequest GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Associated Types type AWSResponse GetAccuracyMetrics # Methods request :: (Service -> Service) -> GetAccuracyMetrics -> Request GetAccuracyMetrics # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy GetAccuracyMetrics -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetAccuracyMetrics))) #
Generic GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Associated Types type Rep GetAccuracyMetrics :: Type -> Type # Methods from :: GetAccuracyMetrics -> Rep GetAccuracyMetrics x # to :: Rep GetAccuracyMetrics x -> GetAccuracyMetrics #
Read GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods readsPrec :: Int -> ReadS GetAccuracyMetrics # readList :: ReadS [GetAccuracyMetrics] # readPrec :: ReadPrec GetAccuracyMetrics # readListPrec :: ReadPrec [GetAccuracyMetrics] #
Show GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods showsPrec :: Int -> GetAccuracyMetrics -> ShowS # show :: GetAccuracyMetrics -> String # showList :: [GetAccuracyMetrics] -> ShowS #
NFData GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods rnf :: GetAccuracyMetrics -> () #
Eq GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods (==) :: GetAccuracyMetrics -> GetAccuracyMetrics -> Bool # (/=) :: GetAccuracyMetrics -> GetAccuracyMetrics -> Bool #
Hashable GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods hashWithSalt :: Int -> GetAccuracyMetrics -> Int # hash :: GetAccuracyMetrics -> Int #
type AWSResponse GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics type AWSResponse GetAccuracyMetrics = GetAccuracyMetricsResponse
type Rep GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics type Rep GetAccuracyMetrics = D1 ('MetaData "GetAccuracyMetrics" "Amazonka.Forecast.GetAccuracyMetrics" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "GetAccuracyMetrics'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newGetAccuracyMetrics Source #

Arguments

:: Text	`GetAccuracyMetrics`
-> GetAccuracyMetrics

Create a value of GetAccuracyMetrics 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:

GetAccuracyMetrics, getAccuracyMetrics_predictorArn - The Amazon Resource Name (ARN) of the predictor to get metrics for.

data GetAccuracyMetricsResponse Source #

See: newGetAccuracyMetricsResponse smart constructor.

Constructors

GetAccuracyMetricsResponse' (Maybe AutoMLOverrideStrategy) (Maybe Bool) (Maybe OptimizationMetric) (Maybe [EvaluationResult]) Int

Instances

Instances details

Generic GetAccuracyMetricsResponse Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Associated Types type Rep GetAccuracyMetricsResponse :: Type -> Type # Methods from :: GetAccuracyMetricsResponse -> Rep GetAccuracyMetricsResponse x # to :: Rep GetAccuracyMetricsResponse x -> GetAccuracyMetricsResponse #
Read GetAccuracyMetricsResponse Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods readsPrec :: Int -> ReadS GetAccuracyMetricsResponse # readList :: ReadS [GetAccuracyMetricsResponse] # readPrec :: ReadPrec GetAccuracyMetricsResponse # readListPrec :: ReadPrec [GetAccuracyMetricsResponse] #
Show GetAccuracyMetricsResponse Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods showsPrec :: Int -> GetAccuracyMetricsResponse -> ShowS # show :: GetAccuracyMetricsResponse -> String # showList :: [GetAccuracyMetricsResponse] -> ShowS #
NFData GetAccuracyMetricsResponse Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods rnf :: GetAccuracyMetricsResponse -> () #
Eq GetAccuracyMetricsResponse Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods (==) :: GetAccuracyMetricsResponse -> GetAccuracyMetricsResponse -> Bool # (/=) :: GetAccuracyMetricsResponse -> GetAccuracyMetricsResponse -> Bool #
type Rep GetAccuracyMetricsResponse Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics type Rep GetAccuracyMetricsResponse = D1 ('MetaData "GetAccuracyMetricsResponse" "Amazonka.Forecast.GetAccuracyMetrics" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "GetAccuracyMetricsResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "autoMLOverrideStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLOverrideStrategy)) :: S1 ('MetaSel ('Just "isAutoPredictor") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))) :: (S1 ('MetaSel ('Just "optimizationMetric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OptimizationMetric)) :: (S1 ('MetaSel ('Just "predictorEvaluationResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [EvaluationResult])) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newGetAccuracyMetricsResponse Source #

Arguments

:: Int	`$sel:httpStatus:GetAccuracyMetricsResponse'`
-> GetAccuracyMetricsResponse

Create a value of GetAccuracyMetricsResponse 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:autoMLOverrideStrategy:GetAccuracyMetricsResponse', getAccuracyMetricsResponse_autoMLOverrideStrategy - The LatencyOptimized AutoML override strategy is only available in private beta. Contact AWS Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

GetAccuracyMetricsResponse, getAccuracyMetricsResponse_isAutoPredictor - Whether the predictor was created with CreateAutoPredictor.

$sel:optimizationMetric:GetAccuracyMetricsResponse', getAccuracyMetricsResponse_optimizationMetric - The accuracy metric used to optimize the predictor.

$sel:predictorEvaluationResults:GetAccuracyMetricsResponse', getAccuracyMetricsResponse_predictorEvaluationResults - An array of results from evaluating the predictor.

$sel:httpStatus:GetAccuracyMetricsResponse', getAccuracyMetricsResponse_httpStatus - The response's http status code.

ListDatasetGroups (Paginated)

data ListDatasetGroups Source #

See: newListDatasetGroups smart constructor.

Constructors

ListDatasetGroups' (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods toJSON :: ListDatasetGroups -> Value # toEncoding :: ListDatasetGroups -> Encoding # toJSONList :: [ListDatasetGroups] -> Value # toEncodingList :: [ListDatasetGroups] -> Encoding #
ToHeaders ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods toHeaders :: ListDatasetGroups -> [Header] #
ToPath ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods toPath :: ListDatasetGroups -> ByteString #
ToQuery ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods toQuery :: ListDatasetGroups -> QueryString #
AWSPager ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods page :: ListDatasetGroups -> AWSResponse ListDatasetGroups -> Maybe ListDatasetGroups #
AWSRequest ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Associated Types type AWSResponse ListDatasetGroups # Methods request :: (Service -> Service) -> ListDatasetGroups -> Request ListDatasetGroups # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListDatasetGroups -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListDatasetGroups))) #
Generic ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Associated Types type Rep ListDatasetGroups :: Type -> Type # Methods from :: ListDatasetGroups -> Rep ListDatasetGroups x # to :: Rep ListDatasetGroups x -> ListDatasetGroups #
Read ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods readsPrec :: Int -> ReadS ListDatasetGroups # readList :: ReadS [ListDatasetGroups] # readPrec :: ReadPrec ListDatasetGroups # readListPrec :: ReadPrec [ListDatasetGroups] #
Show ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods showsPrec :: Int -> ListDatasetGroups -> ShowS # show :: ListDatasetGroups -> String # showList :: [ListDatasetGroups] -> ShowS #
NFData ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods rnf :: ListDatasetGroups -> () #
Eq ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods (==) :: ListDatasetGroups -> ListDatasetGroups -> Bool # (/=) :: ListDatasetGroups -> ListDatasetGroups -> Bool #
Hashable ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods hashWithSalt :: Int -> ListDatasetGroups -> Int # hash :: ListDatasetGroups -> Int #
type AWSResponse ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups type AWSResponse ListDatasetGroups = ListDatasetGroupsResponse
type Rep ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups type Rep ListDatasetGroups = D1 ('MetaData "ListDatasetGroups" "Amazonka.Forecast.ListDatasetGroups" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListDatasetGroups'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newListDatasetGroups :: ListDatasetGroups Source #

Create a value of ListDatasetGroups 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:ListDatasetGroups', listDatasetGroups_maxResults - The number of items to return in the response.

ListDatasetGroups, listDatasetGroups_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

data ListDatasetGroupsResponse Source #

See: newListDatasetGroupsResponse smart constructor.

Constructors

ListDatasetGroupsResponse' (Maybe [DatasetGroupSummary]) (Maybe Text) Int

Instances

Instances details

Generic ListDatasetGroupsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Associated Types type Rep ListDatasetGroupsResponse :: Type -> Type # Methods from :: ListDatasetGroupsResponse -> Rep ListDatasetGroupsResponse x # to :: Rep ListDatasetGroupsResponse x -> ListDatasetGroupsResponse #
Read ListDatasetGroupsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods readsPrec :: Int -> ReadS ListDatasetGroupsResponse # readList :: ReadS [ListDatasetGroupsResponse] # readPrec :: ReadPrec ListDatasetGroupsResponse # readListPrec :: ReadPrec [ListDatasetGroupsResponse] #
Show ListDatasetGroupsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods showsPrec :: Int -> ListDatasetGroupsResponse -> ShowS # show :: ListDatasetGroupsResponse -> String # showList :: [ListDatasetGroupsResponse] -> ShowS #
NFData ListDatasetGroupsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods rnf :: ListDatasetGroupsResponse -> () #
Eq ListDatasetGroupsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods (==) :: ListDatasetGroupsResponse -> ListDatasetGroupsResponse -> Bool # (/=) :: ListDatasetGroupsResponse -> ListDatasetGroupsResponse -> Bool #
type Rep ListDatasetGroupsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups type Rep ListDatasetGroupsResponse = D1 ('MetaData "ListDatasetGroupsResponse" "Amazonka.Forecast.ListDatasetGroups" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListDatasetGroupsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetGroups") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DatasetGroupSummary])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListDatasetGroupsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListDatasetGroupsResponse'`
-> ListDatasetGroupsResponse

Create a value of ListDatasetGroupsResponse 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:datasetGroups:ListDatasetGroupsResponse', listDatasetGroupsResponse_datasetGroups - An array of objects that summarize each dataset group's properties.

ListDatasetGroups, listDatasetGroupsResponse_nextToken - If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.

$sel:httpStatus:ListDatasetGroupsResponse', listDatasetGroupsResponse_httpStatus - The response's http status code.

ListDatasetImportJobs (Paginated)

data ListDatasetImportJobs Source #

See: newListDatasetImportJobs smart constructor.

Constructors

ListDatasetImportJobs' (Maybe [Filter]) (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods toJSON :: ListDatasetImportJobs -> Value # toEncoding :: ListDatasetImportJobs -> Encoding # toJSONList :: [ListDatasetImportJobs] -> Value # toEncodingList :: [ListDatasetImportJobs] -> Encoding #
ToHeaders ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods toHeaders :: ListDatasetImportJobs -> [Header] #
ToPath ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods toPath :: ListDatasetImportJobs -> ByteString #
ToQuery ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods toQuery :: ListDatasetImportJobs -> QueryString #
AWSPager ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods page :: ListDatasetImportJobs -> AWSResponse ListDatasetImportJobs -> Maybe ListDatasetImportJobs #
AWSRequest ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Associated Types type AWSResponse ListDatasetImportJobs # Methods request :: (Service -> Service) -> ListDatasetImportJobs -> Request ListDatasetImportJobs # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListDatasetImportJobs -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListDatasetImportJobs))) #
Generic ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Associated Types type Rep ListDatasetImportJobs :: Type -> Type # Methods from :: ListDatasetImportJobs -> Rep ListDatasetImportJobs x # to :: Rep ListDatasetImportJobs x -> ListDatasetImportJobs #
Read ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods readsPrec :: Int -> ReadS ListDatasetImportJobs # readList :: ReadS [ListDatasetImportJobs] # readPrec :: ReadPrec ListDatasetImportJobs # readListPrec :: ReadPrec [ListDatasetImportJobs] #
Show ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods showsPrec :: Int -> ListDatasetImportJobs -> ShowS # show :: ListDatasetImportJobs -> String # showList :: [ListDatasetImportJobs] -> ShowS #
NFData ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods rnf :: ListDatasetImportJobs -> () #
Eq ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods (==) :: ListDatasetImportJobs -> ListDatasetImportJobs -> Bool # (/=) :: ListDatasetImportJobs -> ListDatasetImportJobs -> Bool #
Hashable ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods hashWithSalt :: Int -> ListDatasetImportJobs -> Int # hash :: ListDatasetImportJobs -> Int #
type AWSResponse ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs type AWSResponse ListDatasetImportJobs = ListDatasetImportJobsResponse
type Rep ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs type Rep ListDatasetImportJobs = D1 ('MetaData "ListDatasetImportJobs" "Amazonka.Forecast.ListDatasetImportJobs" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListDatasetImportJobs'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newListDatasetImportJobs :: ListDatasetImportJobs Source #

Create a value of ListDatasetImportJobs 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:filters:ListDatasetImportJobs', listDatasetImportJobs_filters - An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the datasets that match the statement from the list, respectively. The match statement consists of a key and a value.

Filter properties

Condition - The condition to apply. Valid values are IS and IS_NOT. To include the datasets that match the statement, specify IS. To exclude matching datasets, specify IS_NOT.
Key - The name of the parameter to filter on. Valid values are DatasetArn and Status.
Value - The value to match.

For example, to list all dataset import jobs whose status is ACTIVE, you specify the following filter:

"Filters": [ { "Condition": "IS", "Key": "Status", "Value": "ACTIVE" } ]

$sel:maxResults:ListDatasetImportJobs', listDatasetImportJobs_maxResults - The number of items to return in the response.

ListDatasetImportJobs, listDatasetImportJobs_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

data ListDatasetImportJobsResponse Source #

See: newListDatasetImportJobsResponse smart constructor.

Constructors

ListDatasetImportJobsResponse' (Maybe [DatasetImportJobSummary]) (Maybe Text) Int

Instances

Instances details

Generic ListDatasetImportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Associated Types type Rep ListDatasetImportJobsResponse :: Type -> Type # Methods from :: ListDatasetImportJobsResponse -> Rep ListDatasetImportJobsResponse x # to :: Rep ListDatasetImportJobsResponse x -> ListDatasetImportJobsResponse #
Read ListDatasetImportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods readsPrec :: Int -> ReadS ListDatasetImportJobsResponse # readList :: ReadS [ListDatasetImportJobsResponse] # readPrec :: ReadPrec ListDatasetImportJobsResponse # readListPrec :: ReadPrec [ListDatasetImportJobsResponse] #
Show ListDatasetImportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods showsPrec :: Int -> ListDatasetImportJobsResponse -> ShowS # show :: ListDatasetImportJobsResponse -> String # showList :: [ListDatasetImportJobsResponse] -> ShowS #
NFData ListDatasetImportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods rnf :: ListDatasetImportJobsResponse -> () #
Eq ListDatasetImportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods (==) :: ListDatasetImportJobsResponse -> ListDatasetImportJobsResponse -> Bool # (/=) :: ListDatasetImportJobsResponse -> ListDatasetImportJobsResponse -> Bool #
type Rep ListDatasetImportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs type Rep ListDatasetImportJobsResponse = D1 ('MetaData "ListDatasetImportJobsResponse" "Amazonka.Forecast.ListDatasetImportJobs" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListDatasetImportJobsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetImportJobs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DatasetImportJobSummary])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListDatasetImportJobsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListDatasetImportJobsResponse'`
-> ListDatasetImportJobsResponse

Create a value of ListDatasetImportJobsResponse 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:datasetImportJobs:ListDatasetImportJobsResponse', listDatasetImportJobsResponse_datasetImportJobs - An array of objects that summarize each dataset import job's properties.

ListDatasetImportJobs, listDatasetImportJobsResponse_nextToken - If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.

$sel:httpStatus:ListDatasetImportJobsResponse', listDatasetImportJobsResponse_httpStatus - The response's http status code.

ListDatasets (Paginated)

data ListDatasets Source #

See: newListDatasets smart constructor.

Constructors

ListDatasets' (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods toJSON :: ListDatasets -> Value # toEncoding :: ListDatasets -> Encoding # toJSONList :: [ListDatasets] -> Value # toEncodingList :: [ListDatasets] -> Encoding #
ToHeaders ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods toHeaders :: ListDatasets -> [Header] #
ToPath ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods toPath :: ListDatasets -> ByteString #
ToQuery ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods toQuery :: ListDatasets -> QueryString #
AWSPager ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods page :: ListDatasets -> AWSResponse ListDatasets -> Maybe ListDatasets #
AWSRequest ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Associated Types type AWSResponse ListDatasets # Methods request :: (Service -> Service) -> ListDatasets -> Request ListDatasets # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListDatasets -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListDatasets))) #
Generic ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Associated Types type Rep ListDatasets :: Type -> Type # Methods from :: ListDatasets -> Rep ListDatasets x # to :: Rep ListDatasets x -> ListDatasets #
Read ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods readsPrec :: Int -> ReadS ListDatasets # readList :: ReadS [ListDatasets] # readPrec :: ReadPrec ListDatasets # readListPrec :: ReadPrec [ListDatasets] #
Show ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods showsPrec :: Int -> ListDatasets -> ShowS # show :: ListDatasets -> String # showList :: [ListDatasets] -> ShowS #
NFData ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods rnf :: ListDatasets -> () #
Eq ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods (==) :: ListDatasets -> ListDatasets -> Bool # (/=) :: ListDatasets -> ListDatasets -> Bool #
Hashable ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods hashWithSalt :: Int -> ListDatasets -> Int # hash :: ListDatasets -> Int #
type AWSResponse ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets type AWSResponse ListDatasets = ListDatasetsResponse
type Rep ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets type Rep ListDatasets = D1 ('MetaData "ListDatasets" "Amazonka.Forecast.ListDatasets" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListDatasets'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

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:maxResults:ListDatasets', listDatasets_maxResults - The number of items to return in the response.

ListDatasets, listDatasets_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

data ListDatasetsResponse Source #

See: newListDatasetsResponse smart constructor.

Constructors

ListDatasetsResponse' (Maybe [DatasetSummary]) (Maybe Text) Int

Instances

Instances details

Generic ListDatasetsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Associated Types type Rep ListDatasetsResponse :: Type -> Type # Methods from :: ListDatasetsResponse -> Rep ListDatasetsResponse x # to :: Rep ListDatasetsResponse x -> ListDatasetsResponse #
Read ListDatasetsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods readsPrec :: Int -> ReadS ListDatasetsResponse # readList :: ReadS [ListDatasetsResponse] # readPrec :: ReadPrec ListDatasetsResponse # readListPrec :: ReadPrec [ListDatasetsResponse] #
Show ListDatasetsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods showsPrec :: Int -> ListDatasetsResponse -> ShowS # show :: ListDatasetsResponse -> String # showList :: [ListDatasetsResponse] -> ShowS #
NFData ListDatasetsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods rnf :: ListDatasetsResponse -> () #
Eq ListDatasetsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods (==) :: ListDatasetsResponse -> ListDatasetsResponse -> Bool # (/=) :: ListDatasetsResponse -> ListDatasetsResponse -> Bool #
type Rep ListDatasetsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasets type Rep ListDatasetsResponse = D1 ('MetaData "ListDatasetsResponse" "Amazonka.Forecast.ListDatasets" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListDatasetsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DatasetSummary])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListDatasetsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListDatasetsResponse'`
-> 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:datasets:ListDatasetsResponse', listDatasetsResponse_datasets - An array of objects that summarize each dataset's properties.

ListDatasets, listDatasetsResponse_nextToken - If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.

$sel:httpStatus:ListDatasetsResponse', listDatasetsResponse_httpStatus - The response's http status code.

ListExplainabilities (Paginated)

data ListExplainabilities Source #

See: newListExplainabilities smart constructor.

Constructors

ListExplainabilities' (Maybe [Filter]) (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods toJSON :: ListExplainabilities -> Value # toEncoding :: ListExplainabilities -> Encoding # toJSONList :: [ListExplainabilities] -> Value # toEncodingList :: [ListExplainabilities] -> Encoding #
ToHeaders ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods toHeaders :: ListExplainabilities -> [Header] #
ToPath ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods toPath :: ListExplainabilities -> ByteString #
ToQuery ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods toQuery :: ListExplainabilities -> QueryString #
AWSPager ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods page :: ListExplainabilities -> AWSResponse ListExplainabilities -> Maybe ListExplainabilities #
AWSRequest ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Associated Types type AWSResponse ListExplainabilities # Methods request :: (Service -> Service) -> ListExplainabilities -> Request ListExplainabilities # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListExplainabilities -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListExplainabilities))) #
Generic ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Associated Types type Rep ListExplainabilities :: Type -> Type # Methods from :: ListExplainabilities -> Rep ListExplainabilities x # to :: Rep ListExplainabilities x -> ListExplainabilities #
Read ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods readsPrec :: Int -> ReadS ListExplainabilities # readList :: ReadS [ListExplainabilities] # readPrec :: ReadPrec ListExplainabilities # readListPrec :: ReadPrec [ListExplainabilities] #
Show ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods showsPrec :: Int -> ListExplainabilities -> ShowS # show :: ListExplainabilities -> String # showList :: [ListExplainabilities] -> ShowS #
NFData ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods rnf :: ListExplainabilities -> () #
Eq ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods (==) :: ListExplainabilities -> ListExplainabilities -> Bool # (/=) :: ListExplainabilities -> ListExplainabilities -> Bool #
Hashable ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods hashWithSalt :: Int -> ListExplainabilities -> Int # hash :: ListExplainabilities -> Int #
type AWSResponse ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities type AWSResponse ListExplainabilities = ListExplainabilitiesResponse
type Rep ListExplainabilities Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities type Rep ListExplainabilities = D1 ('MetaData "ListExplainabilities" "Amazonka.Forecast.ListExplainabilities" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListExplainabilities'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newListExplainabilities :: ListExplainabilities Source #

Create a value of ListExplainabilities 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:filters:ListExplainabilities', listExplainabilities_filters - An array of filters. For each filter, provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the resources that match the statement from the list. The match statement consists of a key and a value.

Filter properties

Condition - The condition to apply. Valid values are IS and IS_NOT.
Key - The name of the parameter to filter on. Valid values are ResourceArn and Status.
Value - The value to match.

$sel:maxResults:ListExplainabilities', listExplainabilities_maxResults - The number of items returned in the response.

ListExplainabilities, listExplainabilities_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

data ListExplainabilitiesResponse Source #

See: newListExplainabilitiesResponse smart constructor.

Constructors

ListExplainabilitiesResponse' (Maybe [ExplainabilitySummary]) (Maybe Text) Int

Instances

Instances details

Generic ListExplainabilitiesResponse Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Associated Types type Rep ListExplainabilitiesResponse :: Type -> Type # Methods from :: ListExplainabilitiesResponse -> Rep ListExplainabilitiesResponse x # to :: Rep ListExplainabilitiesResponse x -> ListExplainabilitiesResponse #
Read ListExplainabilitiesResponse Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods readsPrec :: Int -> ReadS ListExplainabilitiesResponse # readList :: ReadS [ListExplainabilitiesResponse] # readPrec :: ReadPrec ListExplainabilitiesResponse # readListPrec :: ReadPrec [ListExplainabilitiesResponse] #
Show ListExplainabilitiesResponse Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods showsPrec :: Int -> ListExplainabilitiesResponse -> ShowS # show :: ListExplainabilitiesResponse -> String # showList :: [ListExplainabilitiesResponse] -> ShowS #
NFData ListExplainabilitiesResponse Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods rnf :: ListExplainabilitiesResponse -> () #
Eq ListExplainabilitiesResponse Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities Methods (==) :: ListExplainabilitiesResponse -> ListExplainabilitiesResponse -> Bool # (/=) :: ListExplainabilitiesResponse -> ListExplainabilitiesResponse -> Bool #
type Rep ListExplainabilitiesResponse Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilities type Rep ListExplainabilitiesResponse = D1 ('MetaData "ListExplainabilitiesResponse" "Amazonka.Forecast.ListExplainabilities" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListExplainabilitiesResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "explainabilities") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ExplainabilitySummary])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListExplainabilitiesResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListExplainabilitiesResponse'`
-> ListExplainabilitiesResponse

Create a value of ListExplainabilitiesResponse 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:explainabilities:ListExplainabilitiesResponse', listExplainabilitiesResponse_explainabilities - An array of objects that summarize the properties of each Explainability resource.

ListExplainabilities, listExplainabilitiesResponse_nextToken - Returns this token if the response is truncated. To retrieve the next set of results, use the token in the next request.

$sel:httpStatus:ListExplainabilitiesResponse', listExplainabilitiesResponse_httpStatus - The response's http status code.

ListExplainabilityExports (Paginated)

data ListExplainabilityExports Source #

See: newListExplainabilityExports smart constructor.

Constructors

ListExplainabilityExports' (Maybe [Filter]) (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods toJSON :: ListExplainabilityExports -> Value # toEncoding :: ListExplainabilityExports -> Encoding # toJSONList :: [ListExplainabilityExports] -> Value # toEncodingList :: [ListExplainabilityExports] -> Encoding #
ToHeaders ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods toHeaders :: ListExplainabilityExports -> [Header] #
ToPath ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods toPath :: ListExplainabilityExports -> ByteString #
ToQuery ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods toQuery :: ListExplainabilityExports -> QueryString #
AWSPager ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods page :: ListExplainabilityExports -> AWSResponse ListExplainabilityExports -> Maybe ListExplainabilityExports #
AWSRequest ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Associated Types type AWSResponse ListExplainabilityExports # Methods request :: (Service -> Service) -> ListExplainabilityExports -> Request ListExplainabilityExports # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListExplainabilityExports -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListExplainabilityExports))) #
Generic ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Associated Types type Rep ListExplainabilityExports :: Type -> Type # Methods from :: ListExplainabilityExports -> Rep ListExplainabilityExports x # to :: Rep ListExplainabilityExports x -> ListExplainabilityExports #
Read ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods readsPrec :: Int -> ReadS ListExplainabilityExports # readList :: ReadS [ListExplainabilityExports] # readPrec :: ReadPrec ListExplainabilityExports # readListPrec :: ReadPrec [ListExplainabilityExports] #
Show ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods showsPrec :: Int -> ListExplainabilityExports -> ShowS # show :: ListExplainabilityExports -> String # showList :: [ListExplainabilityExports] -> ShowS #
NFData ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods rnf :: ListExplainabilityExports -> () #
Eq ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods (==) :: ListExplainabilityExports -> ListExplainabilityExports -> Bool # (/=) :: ListExplainabilityExports -> ListExplainabilityExports -> Bool #
Hashable ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods hashWithSalt :: Int -> ListExplainabilityExports -> Int # hash :: ListExplainabilityExports -> Int #
type AWSResponse ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports type AWSResponse ListExplainabilityExports = ListExplainabilityExportsResponse
type Rep ListExplainabilityExports Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports type Rep ListExplainabilityExports = D1 ('MetaData "ListExplainabilityExports" "Amazonka.Forecast.ListExplainabilityExports" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListExplainabilityExports'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newListExplainabilityExports :: ListExplainabilityExports Source #

Create a value of ListExplainabilityExports 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:filters:ListExplainabilityExports', listExplainabilityExports_filters - An array of filters. For each filter, provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude resources that match the statement from the list. The match statement consists of a key and a value.

Filter properties

Condition - The condition to apply. Valid values are IS and IS_NOT.
Key - The name of the parameter to filter on. Valid values are ResourceArn and Status.
Value - The value to match.

$sel:maxResults:ListExplainabilityExports', listExplainabilityExports_maxResults - The number of items to return in the response.

ListExplainabilityExports, listExplainabilityExports_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

data ListExplainabilityExportsResponse Source #

See: newListExplainabilityExportsResponse smart constructor.

Constructors

ListExplainabilityExportsResponse' (Maybe [ExplainabilityExportSummary]) (Maybe Text) Int

Instances

Instances details

Generic ListExplainabilityExportsResponse Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Associated Types type Rep ListExplainabilityExportsResponse :: Type -> Type # Methods from :: ListExplainabilityExportsResponse -> Rep ListExplainabilityExportsResponse x # to :: Rep ListExplainabilityExportsResponse x -> ListExplainabilityExportsResponse #
Read ListExplainabilityExportsResponse Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods readsPrec :: Int -> ReadS ListExplainabilityExportsResponse # readList :: ReadS [ListExplainabilityExportsResponse] # readPrec :: ReadPrec ListExplainabilityExportsResponse # readListPrec :: ReadPrec [ListExplainabilityExportsResponse] #
Show ListExplainabilityExportsResponse Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods showsPrec :: Int -> ListExplainabilityExportsResponse -> ShowS # show :: ListExplainabilityExportsResponse -> String # showList :: [ListExplainabilityExportsResponse] -> ShowS #
NFData ListExplainabilityExportsResponse Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods rnf :: ListExplainabilityExportsResponse -> () #
Eq ListExplainabilityExportsResponse Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports Methods (==) :: ListExplainabilityExportsResponse -> ListExplainabilityExportsResponse -> Bool # (/=) :: ListExplainabilityExportsResponse -> ListExplainabilityExportsResponse -> Bool #
type Rep ListExplainabilityExportsResponse Source #
Instance details Defined in Amazonka.Forecast.ListExplainabilityExports type Rep ListExplainabilityExportsResponse = D1 ('MetaData "ListExplainabilityExportsResponse" "Amazonka.Forecast.ListExplainabilityExports" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListExplainabilityExportsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "explainabilityExports") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ExplainabilityExportSummary])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListExplainabilityExportsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListExplainabilityExportsResponse'`
-> ListExplainabilityExportsResponse

Create a value of ListExplainabilityExportsResponse 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:explainabilityExports:ListExplainabilityExportsResponse', listExplainabilityExportsResponse_explainabilityExports - An array of objects that summarize the properties of each Explainability export.

ListExplainabilityExports, listExplainabilityExportsResponse_nextToken - Returns this token if the response is truncated. To retrieve the next set of results, use the token in the next request.

$sel:httpStatus:ListExplainabilityExportsResponse', listExplainabilityExportsResponse_httpStatus - The response's http status code.

ListForecastExportJobs (Paginated)

data ListForecastExportJobs Source #

See: newListForecastExportJobs smart constructor.

Constructors

ListForecastExportJobs' (Maybe [Filter]) (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods toJSON :: ListForecastExportJobs -> Value # toEncoding :: ListForecastExportJobs -> Encoding # toJSONList :: [ListForecastExportJobs] -> Value # toEncodingList :: [ListForecastExportJobs] -> Encoding #
ToHeaders ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods toHeaders :: ListForecastExportJobs -> [Header] #
ToPath ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods toPath :: ListForecastExportJobs -> ByteString #
ToQuery ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods toQuery :: ListForecastExportJobs -> QueryString #
AWSPager ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods page :: ListForecastExportJobs -> AWSResponse ListForecastExportJobs -> Maybe ListForecastExportJobs #
AWSRequest ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Associated Types type AWSResponse ListForecastExportJobs # Methods request :: (Service -> Service) -> ListForecastExportJobs -> Request ListForecastExportJobs # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListForecastExportJobs -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListForecastExportJobs))) #
Generic ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Associated Types type Rep ListForecastExportJobs :: Type -> Type # Methods from :: ListForecastExportJobs -> Rep ListForecastExportJobs x # to :: Rep ListForecastExportJobs x -> ListForecastExportJobs #
Read ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods readsPrec :: Int -> ReadS ListForecastExportJobs # readList :: ReadS [ListForecastExportJobs] # readPrec :: ReadPrec ListForecastExportJobs # readListPrec :: ReadPrec [ListForecastExportJobs] #
Show ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods showsPrec :: Int -> ListForecastExportJobs -> ShowS # show :: ListForecastExportJobs -> String # showList :: [ListForecastExportJobs] -> ShowS #
NFData ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods rnf :: ListForecastExportJobs -> () #
Eq ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods (==) :: ListForecastExportJobs -> ListForecastExportJobs -> Bool # (/=) :: ListForecastExportJobs -> ListForecastExportJobs -> Bool #
Hashable ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods hashWithSalt :: Int -> ListForecastExportJobs -> Int # hash :: ListForecastExportJobs -> Int #
type AWSResponse ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs type AWSResponse ListForecastExportJobs = ListForecastExportJobsResponse
type Rep ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs type Rep ListForecastExportJobs = D1 ('MetaData "ListForecastExportJobs" "Amazonka.Forecast.ListForecastExportJobs" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListForecastExportJobs'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newListForecastExportJobs :: ListForecastExportJobs Source #

Create a value of ListForecastExportJobs 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:filters:ListForecastExportJobs', listForecastExportJobs_filters - An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the forecast export jobs that match the statement from the list, respectively. The match statement consists of a key and a value.

Filter properties

Condition - The condition to apply. Valid values are IS and IS_NOT. To include the forecast export jobs that match the statement, specify IS. To exclude matching forecast export jobs, specify IS_NOT.
Key - The name of the parameter to filter on. Valid values are ForecastArn and Status.
Value - The value to match.

For example, to list all jobs that export a forecast named electricityforecast, specify the following filter:

"Filters": [ { "Condition": "IS", "Key": "ForecastArn", "Value": "arn:aws:forecast:us-west-2:<acct-id>:forecast/electricityforecast" } ]

$sel:maxResults:ListForecastExportJobs', listForecastExportJobs_maxResults - The number of items to return in the response.

ListForecastExportJobs, listForecastExportJobs_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

data ListForecastExportJobsResponse Source #

See: newListForecastExportJobsResponse smart constructor.

Constructors

ListForecastExportJobsResponse' (Maybe [ForecastExportJobSummary]) (Maybe Text) Int

Instances

Instances details

Generic ListForecastExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Associated Types type Rep ListForecastExportJobsResponse :: Type -> Type # Methods from :: ListForecastExportJobsResponse -> Rep ListForecastExportJobsResponse x # to :: Rep ListForecastExportJobsResponse x -> ListForecastExportJobsResponse #
Read ListForecastExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods readsPrec :: Int -> ReadS ListForecastExportJobsResponse # readList :: ReadS [ListForecastExportJobsResponse] # readPrec :: ReadPrec ListForecastExportJobsResponse # readListPrec :: ReadPrec [ListForecastExportJobsResponse] #
Show ListForecastExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods showsPrec :: Int -> ListForecastExportJobsResponse -> ShowS # show :: ListForecastExportJobsResponse -> String # showList :: [ListForecastExportJobsResponse] -> ShowS #
NFData ListForecastExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods rnf :: ListForecastExportJobsResponse -> () #
Eq ListForecastExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods (==) :: ListForecastExportJobsResponse -> ListForecastExportJobsResponse -> Bool # (/=) :: ListForecastExportJobsResponse -> ListForecastExportJobsResponse -> Bool #
type Rep ListForecastExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs type Rep ListForecastExportJobsResponse = D1 ('MetaData "ListForecastExportJobsResponse" "Amazonka.Forecast.ListForecastExportJobs" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListForecastExportJobsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "forecastExportJobs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ForecastExportJobSummary])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListForecastExportJobsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListForecastExportJobsResponse'`
-> ListForecastExportJobsResponse

Create a value of ListForecastExportJobsResponse 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:forecastExportJobs:ListForecastExportJobsResponse', listForecastExportJobsResponse_forecastExportJobs - An array of objects that summarize each export job's properties.

ListForecastExportJobs, listForecastExportJobsResponse_nextToken - If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.

$sel:httpStatus:ListForecastExportJobsResponse', listForecastExportJobsResponse_httpStatus - The response's http status code.

ListForecasts (Paginated)

data ListForecasts Source #

See: newListForecasts smart constructor.

Constructors

ListForecasts' (Maybe [Filter]) (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods toJSON :: ListForecasts -> Value # toEncoding :: ListForecasts -> Encoding # toJSONList :: [ListForecasts] -> Value # toEncodingList :: [ListForecasts] -> Encoding #
ToHeaders ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods toHeaders :: ListForecasts -> [Header] #
ToPath ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods toPath :: ListForecasts -> ByteString #
ToQuery ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods toQuery :: ListForecasts -> QueryString #
AWSPager ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods page :: ListForecasts -> AWSResponse ListForecasts -> Maybe ListForecasts #
AWSRequest ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Associated Types type AWSResponse ListForecasts # Methods request :: (Service -> Service) -> ListForecasts -> Request ListForecasts # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListForecasts -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListForecasts))) #
Generic ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Associated Types type Rep ListForecasts :: Type -> Type # Methods from :: ListForecasts -> Rep ListForecasts x # to :: Rep ListForecasts x -> ListForecasts #
Read ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods readsPrec :: Int -> ReadS ListForecasts # readList :: ReadS [ListForecasts] # readPrec :: ReadPrec ListForecasts # readListPrec :: ReadPrec [ListForecasts] #
Show ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods showsPrec :: Int -> ListForecasts -> ShowS # show :: ListForecasts -> String # showList :: [ListForecasts] -> ShowS #
NFData ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods rnf :: ListForecasts -> () #
Eq ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods (==) :: ListForecasts -> ListForecasts -> Bool # (/=) :: ListForecasts -> ListForecasts -> Bool #
Hashable ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods hashWithSalt :: Int -> ListForecasts -> Int # hash :: ListForecasts -> Int #
type AWSResponse ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts type AWSResponse ListForecasts = ListForecastsResponse
type Rep ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts type Rep ListForecasts = D1 ('MetaData "ListForecasts" "Amazonka.Forecast.ListForecasts" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListForecasts'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newListForecasts :: ListForecasts Source #

Create a value of ListForecasts 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:filters:ListForecasts', listForecasts_filters - An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the forecasts that match the statement from the list, respectively. The match statement consists of a key and a value.

Filter properties

Condition - The condition to apply. Valid values are IS and IS_NOT. To include the forecasts that match the statement, specify IS. To exclude matching forecasts, specify IS_NOT.
Key - The name of the parameter to filter on. Valid values are DatasetGroupArn, PredictorArn, and Status.
Value - The value to match.

For example, to list all forecasts whose status is not ACTIVE, you would specify:

"Filters": [ { "Condition": "IS_NOT", "Key": "Status", "Value": "ACTIVE" } ]

$sel:maxResults:ListForecasts', listForecasts_maxResults - The number of items to return in the response.

ListForecasts, listForecasts_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

data ListForecastsResponse Source #

See: newListForecastsResponse smart constructor.

Constructors

ListForecastsResponse' (Maybe [ForecastSummary]) (Maybe Text) Int

Instances

Instances details

Generic ListForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Associated Types type Rep ListForecastsResponse :: Type -> Type # Methods from :: ListForecastsResponse -> Rep ListForecastsResponse x # to :: Rep ListForecastsResponse x -> ListForecastsResponse #
Read ListForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods readsPrec :: Int -> ReadS ListForecastsResponse # readList :: ReadS [ListForecastsResponse] # readPrec :: ReadPrec ListForecastsResponse # readListPrec :: ReadPrec [ListForecastsResponse] #
Show ListForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods showsPrec :: Int -> ListForecastsResponse -> ShowS # show :: ListForecastsResponse -> String # showList :: [ListForecastsResponse] -> ShowS #
NFData ListForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods rnf :: ListForecastsResponse -> () #
Eq ListForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods (==) :: ListForecastsResponse -> ListForecastsResponse -> Bool # (/=) :: ListForecastsResponse -> ListForecastsResponse -> Bool #
type Rep ListForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecasts type Rep ListForecastsResponse = D1 ('MetaData "ListForecastsResponse" "Amazonka.Forecast.ListForecasts" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListForecastsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "forecasts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ForecastSummary])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListForecastsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListForecastsResponse'`
-> ListForecastsResponse

Create a value of ListForecastsResponse 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:forecasts:ListForecastsResponse', listForecastsResponse_forecasts - An array of objects that summarize each forecast's properties.

ListForecasts, listForecastsResponse_nextToken - If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.

$sel:httpStatus:ListForecastsResponse', listForecastsResponse_httpStatus - The response's http status code.

ListMonitorEvaluations (Paginated)

data ListMonitorEvaluations Source #

See: newListMonitorEvaluations smart constructor.

Constructors

ListMonitorEvaluations' (Maybe [Filter]) (Maybe Natural) (Maybe Text) Text

Instances

Instances details

ToJSON ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods toJSON :: ListMonitorEvaluations -> Value # toEncoding :: ListMonitorEvaluations -> Encoding # toJSONList :: [ListMonitorEvaluations] -> Value # toEncodingList :: [ListMonitorEvaluations] -> Encoding #
ToHeaders ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods toHeaders :: ListMonitorEvaluations -> [Header] #
ToPath ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods toPath :: ListMonitorEvaluations -> ByteString #
ToQuery ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods toQuery :: ListMonitorEvaluations -> QueryString #
AWSPager ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods page :: ListMonitorEvaluations -> AWSResponse ListMonitorEvaluations -> Maybe ListMonitorEvaluations #
AWSRequest ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Associated Types type AWSResponse ListMonitorEvaluations # Methods request :: (Service -> Service) -> ListMonitorEvaluations -> Request ListMonitorEvaluations # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListMonitorEvaluations -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListMonitorEvaluations))) #
Generic ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Associated Types type Rep ListMonitorEvaluations :: Type -> Type # Methods from :: ListMonitorEvaluations -> Rep ListMonitorEvaluations x # to :: Rep ListMonitorEvaluations x -> ListMonitorEvaluations #
Read ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods readsPrec :: Int -> ReadS ListMonitorEvaluations # readList :: ReadS [ListMonitorEvaluations] # readPrec :: ReadPrec ListMonitorEvaluations # readListPrec :: ReadPrec [ListMonitorEvaluations] #
Show ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods showsPrec :: Int -> ListMonitorEvaluations -> ShowS # show :: ListMonitorEvaluations -> String # showList :: [ListMonitorEvaluations] -> ShowS #
NFData ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods rnf :: ListMonitorEvaluations -> () #
Eq ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods (==) :: ListMonitorEvaluations -> ListMonitorEvaluations -> Bool # (/=) :: ListMonitorEvaluations -> ListMonitorEvaluations -> Bool #
Hashable ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods hashWithSalt :: Int -> ListMonitorEvaluations -> Int # hash :: ListMonitorEvaluations -> Int #
type AWSResponse ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations type AWSResponse ListMonitorEvaluations = ListMonitorEvaluationsResponse
type Rep ListMonitorEvaluations Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations type Rep ListMonitorEvaluations = D1 ('MetaData "ListMonitorEvaluations" "Amazonka.Forecast.ListMonitorEvaluations" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListMonitorEvaluations'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "monitorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newListMonitorEvaluations Source #

Arguments

:: Text	`ListMonitorEvaluations`
-> ListMonitorEvaluations

Create a value of ListMonitorEvaluations 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:filters:ListMonitorEvaluations', listMonitorEvaluations_filters - An array of filters. For each filter, provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the resources that match the statement from the list. The match statement consists of a key and a value.

Filter properties

Condition - The condition to apply. Valid values are IS and IS_NOT.
Key - The name of the parameter to filter on. The only valid value is EvaluationState.
Value - The value to match. Valid values are only SUCCESS or FAILURE.

For example, to list only successful monitor evaluations, you would specify:

"Filters": [ { "Condition": "IS", "Key": "EvaluationState", "Value": "SUCCESS" } ]

$sel:maxResults:ListMonitorEvaluations', listMonitorEvaluations_maxResults - The maximum number of monitoring results to return.

ListMonitorEvaluations, listMonitorEvaluations_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

ListMonitorEvaluations, listMonitorEvaluations_monitorArn - The Amazon Resource Name (ARN) of the monitor resource to get results from.

data ListMonitorEvaluationsResponse Source #

See: newListMonitorEvaluationsResponse smart constructor.

Constructors

ListMonitorEvaluationsResponse' (Maybe Text) (Maybe [PredictorMonitorEvaluation]) Int

Instances

Instances details

Generic ListMonitorEvaluationsResponse Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Associated Types type Rep ListMonitorEvaluationsResponse :: Type -> Type # Methods from :: ListMonitorEvaluationsResponse -> Rep ListMonitorEvaluationsResponse x # to :: Rep ListMonitorEvaluationsResponse x -> ListMonitorEvaluationsResponse #
Read ListMonitorEvaluationsResponse Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods readsPrec :: Int -> ReadS ListMonitorEvaluationsResponse # readList :: ReadS [ListMonitorEvaluationsResponse] # readPrec :: ReadPrec ListMonitorEvaluationsResponse # readListPrec :: ReadPrec [ListMonitorEvaluationsResponse] #
Show ListMonitorEvaluationsResponse Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods showsPrec :: Int -> ListMonitorEvaluationsResponse -> ShowS # show :: ListMonitorEvaluationsResponse -> String # showList :: [ListMonitorEvaluationsResponse] -> ShowS #
NFData ListMonitorEvaluationsResponse Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods rnf :: ListMonitorEvaluationsResponse -> () #
Eq ListMonitorEvaluationsResponse Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations Methods (==) :: ListMonitorEvaluationsResponse -> ListMonitorEvaluationsResponse -> Bool # (/=) :: ListMonitorEvaluationsResponse -> ListMonitorEvaluationsResponse -> Bool #
type Rep ListMonitorEvaluationsResponse Source #
Instance details Defined in Amazonka.Forecast.ListMonitorEvaluations type Rep ListMonitorEvaluationsResponse = D1 ('MetaData "ListMonitorEvaluationsResponse" "Amazonka.Forecast.ListMonitorEvaluations" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListMonitorEvaluationsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "predictorMonitorEvaluations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [PredictorMonitorEvaluation])) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListMonitorEvaluationsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListMonitorEvaluationsResponse'`
-> ListMonitorEvaluationsResponse

Create a value of ListMonitorEvaluationsResponse 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:

ListMonitorEvaluations, listMonitorEvaluationsResponse_nextToken - If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

$sel:predictorMonitorEvaluations:ListMonitorEvaluationsResponse', listMonitorEvaluationsResponse_predictorMonitorEvaluations - The monitoring results and predictor events collected by the monitor resource during different windows of time.

For information about monitoring see Viewing Monitoring Results. For more information about retrieving monitoring results see Viewing Monitoring Results.

$sel:httpStatus:ListMonitorEvaluationsResponse', listMonitorEvaluationsResponse_httpStatus - The response's http status code.

ListMonitors (Paginated)

data ListMonitors Source #

See: newListMonitors smart constructor.

Constructors

ListMonitors' (Maybe [Filter]) (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods toJSON :: ListMonitors -> Value # toEncoding :: ListMonitors -> Encoding # toJSONList :: [ListMonitors] -> Value # toEncodingList :: [ListMonitors] -> Encoding #
ToHeaders ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods toHeaders :: ListMonitors -> [Header] #
ToPath ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods toPath :: ListMonitors -> ByteString #
ToQuery ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods toQuery :: ListMonitors -> QueryString #
AWSPager ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods page :: ListMonitors -> AWSResponse ListMonitors -> Maybe ListMonitors #
AWSRequest ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Associated Types type AWSResponse ListMonitors # Methods request :: (Service -> Service) -> ListMonitors -> Request ListMonitors # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListMonitors -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListMonitors))) #
Generic ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Associated Types type Rep ListMonitors :: Type -> Type # Methods from :: ListMonitors -> Rep ListMonitors x # to :: Rep ListMonitors x -> ListMonitors #
Read ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods readsPrec :: Int -> ReadS ListMonitors # readList :: ReadS [ListMonitors] # readPrec :: ReadPrec ListMonitors # readListPrec :: ReadPrec [ListMonitors] #
Show ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods showsPrec :: Int -> ListMonitors -> ShowS # show :: ListMonitors -> String # showList :: [ListMonitors] -> ShowS #
NFData ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods rnf :: ListMonitors -> () #
Eq ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods (==) :: ListMonitors -> ListMonitors -> Bool # (/=) :: ListMonitors -> ListMonitors -> Bool #
Hashable ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods hashWithSalt :: Int -> ListMonitors -> Int # hash :: ListMonitors -> Int #
type AWSResponse ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors type AWSResponse ListMonitors = ListMonitorsResponse
type Rep ListMonitors Source #
Instance details Defined in Amazonka.Forecast.ListMonitors type Rep ListMonitors = D1 ('MetaData "ListMonitors" "Amazonka.Forecast.ListMonitors" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListMonitors'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newListMonitors :: ListMonitors Source #

Create a value of ListMonitors 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:filters:ListMonitors', listMonitors_filters - An array of filters. For each filter, provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the resources that match the statement from the list. The match statement consists of a key and a value.

Filter properties

Condition - The condition to apply. Valid values are IS and IS_NOT.
Key - The name of the parameter to filter on. The only valid value is Status.
Value - The value to match.

For example, to list all monitors who's status is ACTIVE, you would specify:

"Filters": [ { "Condition": "IS", "Key": "Status", "Value": "ACTIVE" } ]

$sel:maxResults:ListMonitors', listMonitors_maxResults - The maximum number of monitors to include in the response.

ListMonitors, listMonitors_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

data ListMonitorsResponse Source #

See: newListMonitorsResponse smart constructor.

Constructors

ListMonitorsResponse' (Maybe [MonitorSummary]) (Maybe Text) Int

Instances

Instances details

Generic ListMonitorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Associated Types type Rep ListMonitorsResponse :: Type -> Type # Methods from :: ListMonitorsResponse -> Rep ListMonitorsResponse x # to :: Rep ListMonitorsResponse x -> ListMonitorsResponse #
Read ListMonitorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods readsPrec :: Int -> ReadS ListMonitorsResponse # readList :: ReadS [ListMonitorsResponse] # readPrec :: ReadPrec ListMonitorsResponse # readListPrec :: ReadPrec [ListMonitorsResponse] #
Show ListMonitorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods showsPrec :: Int -> ListMonitorsResponse -> ShowS # show :: ListMonitorsResponse -> String # showList :: [ListMonitorsResponse] -> ShowS #
NFData ListMonitorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods rnf :: ListMonitorsResponse -> () #
Eq ListMonitorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListMonitors Methods (==) :: ListMonitorsResponse -> ListMonitorsResponse -> Bool # (/=) :: ListMonitorsResponse -> ListMonitorsResponse -> Bool #
type Rep ListMonitorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListMonitors type Rep ListMonitorsResponse = D1 ('MetaData "ListMonitorsResponse" "Amazonka.Forecast.ListMonitors" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListMonitorsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "monitors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MonitorSummary])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListMonitorsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListMonitorsResponse'`
-> ListMonitorsResponse

Create a value of ListMonitorsResponse 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:monitors:ListMonitorsResponse', listMonitorsResponse_monitors - An array of objects that summarize each monitor's properties.

ListMonitors, listMonitorsResponse_nextToken - If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.

$sel:httpStatus:ListMonitorsResponse', listMonitorsResponse_httpStatus - The response's http status code.

ListPredictorBacktestExportJobs (Paginated)

data ListPredictorBacktestExportJobs Source #

See: newListPredictorBacktestExportJobs smart constructor.

Constructors

ListPredictorBacktestExportJobs' (Maybe [Filter]) (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods toJSON :: ListPredictorBacktestExportJobs -> Value # toEncoding :: ListPredictorBacktestExportJobs -> Encoding # toJSONList :: [ListPredictorBacktestExportJobs] -> Value # toEncodingList :: [ListPredictorBacktestExportJobs] -> Encoding #
ToHeaders ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods toHeaders :: ListPredictorBacktestExportJobs -> [Header] #
ToPath ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods toPath :: ListPredictorBacktestExportJobs -> ByteString #
ToQuery ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods toQuery :: ListPredictorBacktestExportJobs -> QueryString #
AWSPager ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods page :: ListPredictorBacktestExportJobs -> AWSResponse ListPredictorBacktestExportJobs -> Maybe ListPredictorBacktestExportJobs #
AWSRequest ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Associated Types type AWSResponse ListPredictorBacktestExportJobs # Methods request :: (Service -> Service) -> ListPredictorBacktestExportJobs -> Request ListPredictorBacktestExportJobs # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListPredictorBacktestExportJobs -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListPredictorBacktestExportJobs))) #
Generic ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Associated Types type Rep ListPredictorBacktestExportJobs :: Type -> Type # Methods from :: ListPredictorBacktestExportJobs -> Rep ListPredictorBacktestExportJobs x # to :: Rep ListPredictorBacktestExportJobs x -> ListPredictorBacktestExportJobs #
Read ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods readsPrec :: Int -> ReadS ListPredictorBacktestExportJobs # readList :: ReadS [ListPredictorBacktestExportJobs] # readPrec :: ReadPrec ListPredictorBacktestExportJobs # readListPrec :: ReadPrec [ListPredictorBacktestExportJobs] #
Show ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods showsPrec :: Int -> ListPredictorBacktestExportJobs -> ShowS # show :: ListPredictorBacktestExportJobs -> String # showList :: [ListPredictorBacktestExportJobs] -> ShowS #
NFData ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods rnf :: ListPredictorBacktestExportJobs -> () #
Eq ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods (==) :: ListPredictorBacktestExportJobs -> ListPredictorBacktestExportJobs -> Bool # (/=) :: ListPredictorBacktestExportJobs -> ListPredictorBacktestExportJobs -> Bool #
Hashable ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods hashWithSalt :: Int -> ListPredictorBacktestExportJobs -> Int # hash :: ListPredictorBacktestExportJobs -> Int #
type AWSResponse ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs type AWSResponse ListPredictorBacktestExportJobs = ListPredictorBacktestExportJobsResponse
type Rep ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs type Rep ListPredictorBacktestExportJobs = D1 ('MetaData "ListPredictorBacktestExportJobs" "Amazonka.Forecast.ListPredictorBacktestExportJobs" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListPredictorBacktestExportJobs'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newListPredictorBacktestExportJobs :: ListPredictorBacktestExportJobs Source #

Create a value of ListPredictorBacktestExportJobs 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:filters:ListPredictorBacktestExportJobs', listPredictorBacktestExportJobs_filters - An array of filters. For each filter, provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the predictor backtest export jobs that match the statement from the list. The match statement consists of a key and a value.

Filter properties

Condition - The condition to apply. Valid values are IS and IS_NOT. To include the predictor backtest export jobs that match the statement, specify IS. To exclude matching predictor backtest export jobs, specify IS_NOT.
Key - The name of the parameter to filter on. Valid values are PredictorArn and Status.
Value - The value to match.

$sel:maxResults:ListPredictorBacktestExportJobs', listPredictorBacktestExportJobs_maxResults - The number of items to return in the response.

ListPredictorBacktestExportJobs, listPredictorBacktestExportJobs_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

data ListPredictorBacktestExportJobsResponse Source #

See: newListPredictorBacktestExportJobsResponse smart constructor.

Constructors

ListPredictorBacktestExportJobsResponse' (Maybe Text) (Maybe [PredictorBacktestExportJobSummary]) Int

Instances

Instances details

Generic ListPredictorBacktestExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Associated Types type Rep ListPredictorBacktestExportJobsResponse :: Type -> Type # Methods from :: ListPredictorBacktestExportJobsResponse -> Rep ListPredictorBacktestExportJobsResponse x # to :: Rep ListPredictorBacktestExportJobsResponse x -> ListPredictorBacktestExportJobsResponse #
Read ListPredictorBacktestExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods readsPrec :: Int -> ReadS ListPredictorBacktestExportJobsResponse # readList :: ReadS [ListPredictorBacktestExportJobsResponse] # readPrec :: ReadPrec ListPredictorBacktestExportJobsResponse # readListPrec :: ReadPrec [ListPredictorBacktestExportJobsResponse] #
Show ListPredictorBacktestExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods showsPrec :: Int -> ListPredictorBacktestExportJobsResponse -> ShowS # show :: ListPredictorBacktestExportJobsResponse -> String # showList :: [ListPredictorBacktestExportJobsResponse] -> ShowS #
NFData ListPredictorBacktestExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods rnf :: ListPredictorBacktestExportJobsResponse -> () #
Eq ListPredictorBacktestExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods (==) :: ListPredictorBacktestExportJobsResponse -> ListPredictorBacktestExportJobsResponse -> Bool # (/=) :: ListPredictorBacktestExportJobsResponse -> ListPredictorBacktestExportJobsResponse -> Bool #
type Rep ListPredictorBacktestExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs type Rep ListPredictorBacktestExportJobsResponse = D1 ('MetaData "ListPredictorBacktestExportJobsResponse" "Amazonka.Forecast.ListPredictorBacktestExportJobs" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListPredictorBacktestExportJobsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "predictorBacktestExportJobs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [PredictorBacktestExportJobSummary])) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListPredictorBacktestExportJobsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListPredictorBacktestExportJobsResponse'`
-> ListPredictorBacktestExportJobsResponse

Create a value of ListPredictorBacktestExportJobsResponse 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:

ListPredictorBacktestExportJobs, listPredictorBacktestExportJobsResponse_nextToken - Returns this token if the response is truncated. To retrieve the next set of results, use the token in the next request.

$sel:predictorBacktestExportJobs:ListPredictorBacktestExportJobsResponse', listPredictorBacktestExportJobsResponse_predictorBacktestExportJobs - An array of objects that summarize the properties of each predictor backtest export job.

$sel:httpStatus:ListPredictorBacktestExportJobsResponse', listPredictorBacktestExportJobsResponse_httpStatus - The response's http status code.

ListPredictors (Paginated)

data ListPredictors Source #

See: newListPredictors smart constructor.

Constructors

ListPredictors' (Maybe [Filter]) (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods toJSON :: ListPredictors -> Value # toEncoding :: ListPredictors -> Encoding # toJSONList :: [ListPredictors] -> Value # toEncodingList :: [ListPredictors] -> Encoding #
ToHeaders ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods toHeaders :: ListPredictors -> [Header] #
ToPath ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods toPath :: ListPredictors -> ByteString #
ToQuery ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods toQuery :: ListPredictors -> QueryString #
AWSPager ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods page :: ListPredictors -> AWSResponse ListPredictors -> Maybe ListPredictors #
AWSRequest ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Associated Types type AWSResponse ListPredictors # Methods request :: (Service -> Service) -> ListPredictors -> Request ListPredictors # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListPredictors -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListPredictors))) #
Generic ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Associated Types type Rep ListPredictors :: Type -> Type # Methods from :: ListPredictors -> Rep ListPredictors x # to :: Rep ListPredictors x -> ListPredictors #
Read ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods readsPrec :: Int -> ReadS ListPredictors # readList :: ReadS [ListPredictors] # readPrec :: ReadPrec ListPredictors # readListPrec :: ReadPrec [ListPredictors] #
Show ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods showsPrec :: Int -> ListPredictors -> ShowS # show :: ListPredictors -> String # showList :: [ListPredictors] -> ShowS #
NFData ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods rnf :: ListPredictors -> () #
Eq ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods (==) :: ListPredictors -> ListPredictors -> Bool # (/=) :: ListPredictors -> ListPredictors -> Bool #
Hashable ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods hashWithSalt :: Int -> ListPredictors -> Int # hash :: ListPredictors -> Int #
type AWSResponse ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors type AWSResponse ListPredictors = ListPredictorsResponse
type Rep ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors type Rep ListPredictors = D1 ('MetaData "ListPredictors" "Amazonka.Forecast.ListPredictors" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListPredictors'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newListPredictors :: ListPredictors Source #

Create a value of ListPredictors 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:filters:ListPredictors', listPredictors_filters - An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the predictors that match the statement from the list, respectively. The match statement consists of a key and a value.

Filter properties

Condition - The condition to apply. Valid values are IS and IS_NOT. To include the predictors that match the statement, specify IS. To exclude matching predictors, specify IS_NOT.
Key - The name of the parameter to filter on. Valid values are DatasetGroupArn and Status.
Value - The value to match.

For example, to list all predictors whose status is ACTIVE, you would specify:

"Filters": [ { "Condition": "IS", "Key": "Status", "Value": "ACTIVE" } ]

$sel:maxResults:ListPredictors', listPredictors_maxResults - The number of items to return in the response.

ListPredictors, listPredictors_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

data ListPredictorsResponse Source #

See: newListPredictorsResponse smart constructor.

Constructors

ListPredictorsResponse' (Maybe Text) (Maybe [PredictorSummary]) Int

Instances

Instances details

Generic ListPredictorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Associated Types type Rep ListPredictorsResponse :: Type -> Type # Methods from :: ListPredictorsResponse -> Rep ListPredictorsResponse x # to :: Rep ListPredictorsResponse x -> ListPredictorsResponse #
Read ListPredictorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods readsPrec :: Int -> ReadS ListPredictorsResponse # readList :: ReadS [ListPredictorsResponse] # readPrec :: ReadPrec ListPredictorsResponse # readListPrec :: ReadPrec [ListPredictorsResponse] #
Show ListPredictorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods showsPrec :: Int -> ListPredictorsResponse -> ShowS # show :: ListPredictorsResponse -> String # showList :: [ListPredictorsResponse] -> ShowS #
NFData ListPredictorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods rnf :: ListPredictorsResponse -> () #
Eq ListPredictorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods (==) :: ListPredictorsResponse -> ListPredictorsResponse -> Bool # (/=) :: ListPredictorsResponse -> ListPredictorsResponse -> Bool #
type Rep ListPredictorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictors type Rep ListPredictorsResponse = D1 ('MetaData "ListPredictorsResponse" "Amazonka.Forecast.ListPredictors" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListPredictorsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "predictors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [PredictorSummary])) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListPredictorsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListPredictorsResponse'`
-> ListPredictorsResponse

Create a value of ListPredictorsResponse 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:

ListPredictors, listPredictorsResponse_nextToken - If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.

$sel:predictors:ListPredictorsResponse', listPredictorsResponse_predictors - An array of objects that summarize each predictor's properties.

$sel:httpStatus:ListPredictorsResponse', listPredictorsResponse_httpStatus - The response's http status code.

ListTagsForResource

data ListTagsForResource Source #

See: newListTagsForResource smart constructor.

Constructors

ListTagsForResource' Text

Instances

Instances details

ToJSON ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods toJSON :: ListTagsForResource -> Value # toEncoding :: ListTagsForResource -> Encoding # toJSONList :: [ListTagsForResource] -> Value # toEncodingList :: [ListTagsForResource] -> Encoding #
ToHeaders ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods toHeaders :: ListTagsForResource -> [Header] #
ToPath ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods toPath :: ListTagsForResource -> ByteString #
ToQuery ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods toQuery :: ListTagsForResource -> QueryString #
AWSRequest ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Associated Types type AWSResponse ListTagsForResource # Methods request :: (Service -> Service) -> ListTagsForResource -> Request ListTagsForResource # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListTagsForResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListTagsForResource))) #
Generic ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Associated Types type Rep ListTagsForResource :: Type -> Type # Methods from :: ListTagsForResource -> Rep ListTagsForResource x # to :: Rep ListTagsForResource x -> ListTagsForResource #
Read ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods readsPrec :: Int -> ReadS ListTagsForResource # readList :: ReadS [ListTagsForResource] # readPrec :: ReadPrec ListTagsForResource # readListPrec :: ReadPrec [ListTagsForResource] #
Show ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods showsPrec :: Int -> ListTagsForResource -> ShowS # show :: ListTagsForResource -> String # showList :: [ListTagsForResource] -> ShowS #
NFData ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods rnf :: ListTagsForResource -> () #
Eq ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods (==) :: ListTagsForResource -> ListTagsForResource -> Bool # (/=) :: ListTagsForResource -> ListTagsForResource -> Bool #
Hashable ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods hashWithSalt :: Int -> ListTagsForResource -> Int # hash :: ListTagsForResource -> Int #
type AWSResponse ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource type AWSResponse ListTagsForResource = ListTagsForResourceResponse
type Rep ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource type Rep ListTagsForResource = D1 ('MetaData "ListTagsForResource" "Amazonka.Forecast.ListTagsForResource" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListTagsForResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newListTagsForResource Source #

Arguments

:: Text	`ListTagsForResource`
-> 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:

ListTagsForResource, listTagsForResource_resourceArn - The Amazon Resource Name (ARN) that identifies the resource for which to list the tags.

data ListTagsForResourceResponse Source #

See: newListTagsForResourceResponse smart constructor.

Constructors

ListTagsForResourceResponse' (Maybe [Tag]) Int

Instances

Instances details

Generic ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Associated Types type Rep ListTagsForResourceResponse :: Type -> Type # Methods from :: ListTagsForResourceResponse -> Rep ListTagsForResourceResponse x # to :: Rep ListTagsForResourceResponse x -> ListTagsForResourceResponse #
Show ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods showsPrec :: Int -> ListTagsForResourceResponse -> ShowS # show :: ListTagsForResourceResponse -> String # showList :: [ListTagsForResourceResponse] -> ShowS #
NFData ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods rnf :: ListTagsForResourceResponse -> () #
Eq ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods (==) :: ListTagsForResourceResponse -> ListTagsForResourceResponse -> Bool # (/=) :: ListTagsForResourceResponse -> ListTagsForResourceResponse -> Bool #
type Rep ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource type Rep ListTagsForResourceResponse = D1 ('MetaData "ListTagsForResourceResponse" "Amazonka.Forecast.ListTagsForResource" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListTagsForResourceResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newListTagsForResourceResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListTagsForResourceResponse'`
-> ListTagsForResourceResponse

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 - The tags for the resource.

$sel:httpStatus:ListTagsForResourceResponse', listTagsForResourceResponse_httpStatus - The response's http status code.

ListWhatIfAnalyses (Paginated)

data ListWhatIfAnalyses Source #

See: newListWhatIfAnalyses smart constructor.

Constructors

ListWhatIfAnalyses' (Maybe [Filter]) (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods toJSON :: ListWhatIfAnalyses -> Value # toEncoding :: ListWhatIfAnalyses -> Encoding # toJSONList :: [ListWhatIfAnalyses] -> Value # toEncodingList :: [ListWhatIfAnalyses] -> Encoding #
ToHeaders ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods toHeaders :: ListWhatIfAnalyses -> [Header] #
ToPath ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods toPath :: ListWhatIfAnalyses -> ByteString #
ToQuery ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods toQuery :: ListWhatIfAnalyses -> QueryString #
AWSPager ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods page :: ListWhatIfAnalyses -> AWSResponse ListWhatIfAnalyses -> Maybe ListWhatIfAnalyses #
AWSRequest ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Associated Types type AWSResponse ListWhatIfAnalyses # Methods request :: (Service -> Service) -> ListWhatIfAnalyses -> Request ListWhatIfAnalyses # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListWhatIfAnalyses -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListWhatIfAnalyses))) #
Generic ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Associated Types type Rep ListWhatIfAnalyses :: Type -> Type # Methods from :: ListWhatIfAnalyses -> Rep ListWhatIfAnalyses x # to :: Rep ListWhatIfAnalyses x -> ListWhatIfAnalyses #
Read ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods readsPrec :: Int -> ReadS ListWhatIfAnalyses # readList :: ReadS [ListWhatIfAnalyses] # readPrec :: ReadPrec ListWhatIfAnalyses # readListPrec :: ReadPrec [ListWhatIfAnalyses] #
Show ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods showsPrec :: Int -> ListWhatIfAnalyses -> ShowS # show :: ListWhatIfAnalyses -> String # showList :: [ListWhatIfAnalyses] -> ShowS #
NFData ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods rnf :: ListWhatIfAnalyses -> () #
Eq ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods (==) :: ListWhatIfAnalyses -> ListWhatIfAnalyses -> Bool # (/=) :: ListWhatIfAnalyses -> ListWhatIfAnalyses -> Bool #
Hashable ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods hashWithSalt :: Int -> ListWhatIfAnalyses -> Int # hash :: ListWhatIfAnalyses -> Int #
type AWSResponse ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses type AWSResponse ListWhatIfAnalyses = ListWhatIfAnalysesResponse
type Rep ListWhatIfAnalyses Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses type Rep ListWhatIfAnalyses = D1 ('MetaData "ListWhatIfAnalyses" "Amazonka.Forecast.ListWhatIfAnalyses" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListWhatIfAnalyses'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newListWhatIfAnalyses :: ListWhatIfAnalyses Source #

Create a value of ListWhatIfAnalyses 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:filters:ListWhatIfAnalyses', listWhatIfAnalyses_filters - An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the what-if analysis jobs that match the statement from the list, respectively. The match statement consists of a key and a value.

Filter properties

Condition - The condition to apply. Valid values are IS and IS_NOT. To include the what-if analysis jobs that match the statement, specify IS. To exclude matching what-if analysis jobs, specify IS_NOT.
Key - The name of the parameter to filter on. Valid values are WhatIfAnalysisArn and Status.
Value - The value to match.

For example, to list all jobs that export a forecast named electricityWhatIf, specify the following filter:

"Filters": [ { "Condition": "IS", "Key": "WhatIfAnalysisArn", "Value": "arn:aws:forecast:us-west-2:<acct-id>:forecast/electricityWhatIf" } ]

$sel:maxResults:ListWhatIfAnalyses', listWhatIfAnalyses_maxResults - The number of items to return in the response.

ListWhatIfAnalyses, listWhatIfAnalyses_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

data ListWhatIfAnalysesResponse Source #

See: newListWhatIfAnalysesResponse smart constructor.

Constructors

ListWhatIfAnalysesResponse' (Maybe Text) (Maybe [WhatIfAnalysisSummary]) Int

Instances

Instances details

Generic ListWhatIfAnalysesResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Associated Types type Rep ListWhatIfAnalysesResponse :: Type -> Type # Methods from :: ListWhatIfAnalysesResponse -> Rep ListWhatIfAnalysesResponse x # to :: Rep ListWhatIfAnalysesResponse x -> ListWhatIfAnalysesResponse #
Read ListWhatIfAnalysesResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods readsPrec :: Int -> ReadS ListWhatIfAnalysesResponse # readList :: ReadS [ListWhatIfAnalysesResponse] # readPrec :: ReadPrec ListWhatIfAnalysesResponse # readListPrec :: ReadPrec [ListWhatIfAnalysesResponse] #
Show ListWhatIfAnalysesResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods showsPrec :: Int -> ListWhatIfAnalysesResponse -> ShowS # show :: ListWhatIfAnalysesResponse -> String # showList :: [ListWhatIfAnalysesResponse] -> ShowS #
NFData ListWhatIfAnalysesResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods rnf :: ListWhatIfAnalysesResponse -> () #
Eq ListWhatIfAnalysesResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses Methods (==) :: ListWhatIfAnalysesResponse -> ListWhatIfAnalysesResponse -> Bool # (/=) :: ListWhatIfAnalysesResponse -> ListWhatIfAnalysesResponse -> Bool #
type Rep ListWhatIfAnalysesResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfAnalyses type Rep ListWhatIfAnalysesResponse = D1 ('MetaData "ListWhatIfAnalysesResponse" "Amazonka.Forecast.ListWhatIfAnalyses" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListWhatIfAnalysesResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "whatIfAnalyses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [WhatIfAnalysisSummary])) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListWhatIfAnalysesResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListWhatIfAnalysesResponse'`
-> ListWhatIfAnalysesResponse

Create a value of ListWhatIfAnalysesResponse 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:

ListWhatIfAnalyses, listWhatIfAnalysesResponse_nextToken - If the response is truncated, Forecast returns this token. To retrieve the next set of results, use the token in the next request.

$sel:whatIfAnalyses:ListWhatIfAnalysesResponse', listWhatIfAnalysesResponse_whatIfAnalyses - An array of WhatIfAnalysisSummary objects that describe the matched analyses.

$sel:httpStatus:ListWhatIfAnalysesResponse', listWhatIfAnalysesResponse_httpStatus - The response's http status code.

ListWhatIfForecastExports (Paginated)

data ListWhatIfForecastExports Source #

See: newListWhatIfForecastExports smart constructor.

Constructors

ListWhatIfForecastExports' (Maybe [Filter]) (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods toJSON :: ListWhatIfForecastExports -> Value # toEncoding :: ListWhatIfForecastExports -> Encoding # toJSONList :: [ListWhatIfForecastExports] -> Value # toEncodingList :: [ListWhatIfForecastExports] -> Encoding #
ToHeaders ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods toHeaders :: ListWhatIfForecastExports -> [Header] #
ToPath ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods toPath :: ListWhatIfForecastExports -> ByteString #
ToQuery ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods toQuery :: ListWhatIfForecastExports -> QueryString #
AWSPager ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods page :: ListWhatIfForecastExports -> AWSResponse ListWhatIfForecastExports -> Maybe ListWhatIfForecastExports #
AWSRequest ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Associated Types type AWSResponse ListWhatIfForecastExports # Methods request :: (Service -> Service) -> ListWhatIfForecastExports -> Request ListWhatIfForecastExports # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListWhatIfForecastExports -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListWhatIfForecastExports))) #
Generic ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Associated Types type Rep ListWhatIfForecastExports :: Type -> Type # Methods from :: ListWhatIfForecastExports -> Rep ListWhatIfForecastExports x # to :: Rep ListWhatIfForecastExports x -> ListWhatIfForecastExports #
Read ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods readsPrec :: Int -> ReadS ListWhatIfForecastExports # readList :: ReadS [ListWhatIfForecastExports] # readPrec :: ReadPrec ListWhatIfForecastExports # readListPrec :: ReadPrec [ListWhatIfForecastExports] #
Show ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods showsPrec :: Int -> ListWhatIfForecastExports -> ShowS # show :: ListWhatIfForecastExports -> String # showList :: [ListWhatIfForecastExports] -> ShowS #
NFData ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods rnf :: ListWhatIfForecastExports -> () #
Eq ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods (==) :: ListWhatIfForecastExports -> ListWhatIfForecastExports -> Bool # (/=) :: ListWhatIfForecastExports -> ListWhatIfForecastExports -> Bool #
Hashable ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods hashWithSalt :: Int -> ListWhatIfForecastExports -> Int # hash :: ListWhatIfForecastExports -> Int #
type AWSResponse ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports type AWSResponse ListWhatIfForecastExports = ListWhatIfForecastExportsResponse
type Rep ListWhatIfForecastExports Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports type Rep ListWhatIfForecastExports = D1 ('MetaData "ListWhatIfForecastExports" "Amazonka.Forecast.ListWhatIfForecastExports" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListWhatIfForecastExports'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newListWhatIfForecastExports :: ListWhatIfForecastExports Source #

Create a value of ListWhatIfForecastExports 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:filters:ListWhatIfForecastExports', listWhatIfForecastExports_filters - An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the what-if forecast export jobs that match the statement from the list, respectively. The match statement consists of a key and a value.

Filter properties

Condition - The condition to apply. Valid values are IS and IS_NOT. To include the forecast export jobs that match the statement, specify IS. To exclude matching forecast export jobs, specify IS_NOT.
Key - The name of the parameter to filter on. Valid values are WhatIfForecastExportArn and Status.
Value - The value to match.

For example, to list all jobs that export a forecast named electricityWIFExport, specify the following filter:

"Filters": [ { "Condition": "IS", "Key": "WhatIfForecastExportArn", "Value": "arn:aws:forecast:us-west-2:<acct-id>:forecast/electricityWIFExport" } ]

$sel:maxResults:ListWhatIfForecastExports', listWhatIfForecastExports_maxResults - The number of items to return in the response.

ListWhatIfForecastExports, listWhatIfForecastExports_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next  request. Tokens expire after 24 hours.

data ListWhatIfForecastExportsResponse Source #

See: newListWhatIfForecastExportsResponse smart constructor.

Constructors

ListWhatIfForecastExportsResponse' (Maybe Text) (Maybe [WhatIfForecastExportSummary]) Int

Instances

Instances details

Generic ListWhatIfForecastExportsResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Associated Types type Rep ListWhatIfForecastExportsResponse :: Type -> Type # Methods from :: ListWhatIfForecastExportsResponse -> Rep ListWhatIfForecastExportsResponse x # to :: Rep ListWhatIfForecastExportsResponse x -> ListWhatIfForecastExportsResponse #
Read ListWhatIfForecastExportsResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods readsPrec :: Int -> ReadS ListWhatIfForecastExportsResponse # readList :: ReadS [ListWhatIfForecastExportsResponse] # readPrec :: ReadPrec ListWhatIfForecastExportsResponse # readListPrec :: ReadPrec [ListWhatIfForecastExportsResponse] #
Show ListWhatIfForecastExportsResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods showsPrec :: Int -> ListWhatIfForecastExportsResponse -> ShowS # show :: ListWhatIfForecastExportsResponse -> String # showList :: [ListWhatIfForecastExportsResponse] -> ShowS #
NFData ListWhatIfForecastExportsResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods rnf :: ListWhatIfForecastExportsResponse -> () #
Eq ListWhatIfForecastExportsResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports Methods (==) :: ListWhatIfForecastExportsResponse -> ListWhatIfForecastExportsResponse -> Bool # (/=) :: ListWhatIfForecastExportsResponse -> ListWhatIfForecastExportsResponse -> Bool #
type Rep ListWhatIfForecastExportsResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecastExports type Rep ListWhatIfForecastExportsResponse = D1 ('MetaData "ListWhatIfForecastExportsResponse" "Amazonka.Forecast.ListWhatIfForecastExports" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListWhatIfForecastExportsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "whatIfForecastExports") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [WhatIfForecastExportSummary])) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListWhatIfForecastExportsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListWhatIfForecastExportsResponse'`
-> ListWhatIfForecastExportsResponse

Create a value of ListWhatIfForecastExportsResponse 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:

ListWhatIfForecastExports, listWhatIfForecastExportsResponse_nextToken - If the response is truncated, Forecast returns this token. To retrieve the next set of results, use the token in the next request.

$sel:whatIfForecastExports:ListWhatIfForecastExportsResponse', listWhatIfForecastExportsResponse_whatIfForecastExports - An array of WhatIfForecastExports objects that describe the matched forecast exports.

$sel:httpStatus:ListWhatIfForecastExportsResponse', listWhatIfForecastExportsResponse_httpStatus - The response's http status code.

ListWhatIfForecasts (Paginated)

data ListWhatIfForecasts Source #

See: newListWhatIfForecasts smart constructor.

Constructors

ListWhatIfForecasts' (Maybe [Filter]) (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods toJSON :: ListWhatIfForecasts -> Value # toEncoding :: ListWhatIfForecasts -> Encoding # toJSONList :: [ListWhatIfForecasts] -> Value # toEncodingList :: [ListWhatIfForecasts] -> Encoding #
ToHeaders ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods toHeaders :: ListWhatIfForecasts -> [Header] #
ToPath ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods toPath :: ListWhatIfForecasts -> ByteString #
ToQuery ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods toQuery :: ListWhatIfForecasts -> QueryString #
AWSPager ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods page :: ListWhatIfForecasts -> AWSResponse ListWhatIfForecasts -> Maybe ListWhatIfForecasts #
AWSRequest ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Associated Types type AWSResponse ListWhatIfForecasts # Methods request :: (Service -> Service) -> ListWhatIfForecasts -> Request ListWhatIfForecasts # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListWhatIfForecasts -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListWhatIfForecasts))) #
Generic ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Associated Types type Rep ListWhatIfForecasts :: Type -> Type # Methods from :: ListWhatIfForecasts -> Rep ListWhatIfForecasts x # to :: Rep ListWhatIfForecasts x -> ListWhatIfForecasts #
Read ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods readsPrec :: Int -> ReadS ListWhatIfForecasts # readList :: ReadS [ListWhatIfForecasts] # readPrec :: ReadPrec ListWhatIfForecasts # readListPrec :: ReadPrec [ListWhatIfForecasts] #
Show ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods showsPrec :: Int -> ListWhatIfForecasts -> ShowS # show :: ListWhatIfForecasts -> String # showList :: [ListWhatIfForecasts] -> ShowS #
NFData ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods rnf :: ListWhatIfForecasts -> () #
Eq ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods (==) :: ListWhatIfForecasts -> ListWhatIfForecasts -> Bool # (/=) :: ListWhatIfForecasts -> ListWhatIfForecasts -> Bool #
Hashable ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods hashWithSalt :: Int -> ListWhatIfForecasts -> Int # hash :: ListWhatIfForecasts -> Int #
type AWSResponse ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts type AWSResponse ListWhatIfForecasts = ListWhatIfForecastsResponse
type Rep ListWhatIfForecasts Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts type Rep ListWhatIfForecasts = D1 ('MetaData "ListWhatIfForecasts" "Amazonka.Forecast.ListWhatIfForecasts" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListWhatIfForecasts'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newListWhatIfForecasts :: ListWhatIfForecasts Source #

Create a value of ListWhatIfForecasts 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:filters:ListWhatIfForecasts', listWhatIfForecasts_filters - An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the what-if forecast export jobs that match the statement from the list, respectively. The match statement consists of a key and a value.

Filter properties

Condition - The condition to apply. Valid values are IS and IS_NOT. To include the forecast export jobs that match the statement, specify IS. To exclude matching forecast export jobs, specify IS_NOT.
Key - The name of the parameter to filter on. Valid values are WhatIfForecastArn and Status.
Value - The value to match.

For example, to list all jobs that export a forecast named electricityWhatIfForecast, specify the following filter:

"Filters": [ { "Condition": "IS", "Key": "WhatIfForecastArn", "Value": "arn:aws:forecast:us-west-2:<acct-id>:forecast/electricityWhatIfForecast" } ]

$sel:maxResults:ListWhatIfForecasts', listWhatIfForecasts_maxResults - The number of items to return in the response.

ListWhatIfForecasts, listWhatIfForecasts_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next  request. Tokens expire after 24 hours.

data ListWhatIfForecastsResponse Source #

See: newListWhatIfForecastsResponse smart constructor.

Constructors

ListWhatIfForecastsResponse' (Maybe Text) (Maybe [WhatIfForecastSummary]) Int

Instances

Instances details

Generic ListWhatIfForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Associated Types type Rep ListWhatIfForecastsResponse :: Type -> Type # Methods from :: ListWhatIfForecastsResponse -> Rep ListWhatIfForecastsResponse x # to :: Rep ListWhatIfForecastsResponse x -> ListWhatIfForecastsResponse #
Read ListWhatIfForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods readsPrec :: Int -> ReadS ListWhatIfForecastsResponse # readList :: ReadS [ListWhatIfForecastsResponse] # readPrec :: ReadPrec ListWhatIfForecastsResponse # readListPrec :: ReadPrec [ListWhatIfForecastsResponse] #
Show ListWhatIfForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods showsPrec :: Int -> ListWhatIfForecastsResponse -> ShowS # show :: ListWhatIfForecastsResponse -> String # showList :: [ListWhatIfForecastsResponse] -> ShowS #
NFData ListWhatIfForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods rnf :: ListWhatIfForecastsResponse -> () #
Eq ListWhatIfForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts Methods (==) :: ListWhatIfForecastsResponse -> ListWhatIfForecastsResponse -> Bool # (/=) :: ListWhatIfForecastsResponse -> ListWhatIfForecastsResponse -> Bool #
type Rep ListWhatIfForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListWhatIfForecasts type Rep ListWhatIfForecastsResponse = D1 ('MetaData "ListWhatIfForecastsResponse" "Amazonka.Forecast.ListWhatIfForecasts" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ListWhatIfForecastsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "whatIfForecasts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [WhatIfForecastSummary])) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListWhatIfForecastsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListWhatIfForecastsResponse'`
-> ListWhatIfForecastsResponse

Create a value of ListWhatIfForecastsResponse 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:

ListWhatIfForecasts, listWhatIfForecastsResponse_nextToken - If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next  request. Tokens expire after 24 hours.

$sel:whatIfForecasts:ListWhatIfForecastsResponse', listWhatIfForecastsResponse_whatIfForecasts - An array of WhatIfForecasts objects that describe the matched forecasts.

$sel:httpStatus:ListWhatIfForecastsResponse', listWhatIfForecastsResponse_httpStatus - The response's http status code.

ResumeResource

data ResumeResource Source #

See: newResumeResource smart constructor.

Constructors

ResumeResource' Text

Instances

Instances details

ToJSON ResumeResource Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Methods toJSON :: ResumeResource -> Value # toEncoding :: ResumeResource -> Encoding # toJSONList :: [ResumeResource] -> Value # toEncodingList :: [ResumeResource] -> Encoding #
ToHeaders ResumeResource Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Methods toHeaders :: ResumeResource -> [Header] #
ToPath ResumeResource Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Methods toPath :: ResumeResource -> ByteString #
ToQuery ResumeResource Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Methods toQuery :: ResumeResource -> QueryString #
AWSRequest ResumeResource Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Associated Types type AWSResponse ResumeResource # Methods request :: (Service -> Service) -> ResumeResource -> Request ResumeResource # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ResumeResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ResumeResource))) #
Generic ResumeResource Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Associated Types type Rep ResumeResource :: Type -> Type # Methods from :: ResumeResource -> Rep ResumeResource x # to :: Rep ResumeResource x -> ResumeResource #
Read ResumeResource Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Methods readsPrec :: Int -> ReadS ResumeResource # readList :: ReadS [ResumeResource] # readPrec :: ReadPrec ResumeResource # readListPrec :: ReadPrec [ResumeResource] #
Show ResumeResource Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Methods showsPrec :: Int -> ResumeResource -> ShowS # show :: ResumeResource -> String # showList :: [ResumeResource] -> ShowS #
NFData ResumeResource Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Methods rnf :: ResumeResource -> () #
Eq ResumeResource Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Methods (==) :: ResumeResource -> ResumeResource -> Bool # (/=) :: ResumeResource -> ResumeResource -> Bool #
Hashable ResumeResource Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Methods hashWithSalt :: Int -> ResumeResource -> Int # hash :: ResumeResource -> Int #
type AWSResponse ResumeResource Source #
Instance details Defined in Amazonka.Forecast.ResumeResource type AWSResponse ResumeResource = ResumeResourceResponse
type Rep ResumeResource Source #
Instance details Defined in Amazonka.Forecast.ResumeResource type Rep ResumeResource = D1 ('MetaData "ResumeResource" "Amazonka.Forecast.ResumeResource" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ResumeResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newResumeResource Source #

Arguments

:: Text	`ResumeResource`
-> ResumeResource

Create a value of ResumeResource 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:

ResumeResource, resumeResource_resourceArn - The Amazon Resource Name (ARN) of the monitor resource to resume.

data ResumeResourceResponse Source #

See: newResumeResourceResponse smart constructor.

Constructors

ResumeResourceResponse'

Instances

Instances details

Generic ResumeResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Associated Types type Rep ResumeResourceResponse :: Type -> Type # Methods from :: ResumeResourceResponse -> Rep ResumeResourceResponse x # to :: Rep ResumeResourceResponse x -> ResumeResourceResponse #
Read ResumeResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Methods readsPrec :: Int -> ReadS ResumeResourceResponse # readList :: ReadS [ResumeResourceResponse] # readPrec :: ReadPrec ResumeResourceResponse # readListPrec :: ReadPrec [ResumeResourceResponse] #
Show ResumeResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Methods showsPrec :: Int -> ResumeResourceResponse -> ShowS # show :: ResumeResourceResponse -> String # showList :: [ResumeResourceResponse] -> ShowS #
NFData ResumeResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Methods rnf :: ResumeResourceResponse -> () #
Eq ResumeResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ResumeResource Methods (==) :: ResumeResourceResponse -> ResumeResourceResponse -> Bool # (/=) :: ResumeResourceResponse -> ResumeResourceResponse -> Bool #
type Rep ResumeResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ResumeResource type Rep ResumeResourceResponse = D1 ('MetaData "ResumeResourceResponse" "Amazonka.Forecast.ResumeResource" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ResumeResourceResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newResumeResourceResponse :: ResumeResourceResponse Source #

Create a value of ResumeResourceResponse with all optional fields omitted.

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

StopResource

data StopResource Source #

See: newStopResource smart constructor.

Constructors

StopResource' Text

Instances

Instances details

ToJSON StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods toJSON :: StopResource -> Value # toEncoding :: StopResource -> Encoding # toJSONList :: [StopResource] -> Value # toEncodingList :: [StopResource] -> Encoding #
ToHeaders StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods toHeaders :: StopResource -> [Header] #
ToPath StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods toPath :: StopResource -> ByteString #
ToQuery StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods toQuery :: StopResource -> QueryString #
AWSRequest StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Associated Types type AWSResponse StopResource # Methods request :: (Service -> Service) -> StopResource -> Request StopResource # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy StopResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StopResource))) #
Generic StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Associated Types type Rep StopResource :: Type -> Type # Methods from :: StopResource -> Rep StopResource x # to :: Rep StopResource x -> StopResource #
Read StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods readsPrec :: Int -> ReadS StopResource # readList :: ReadS [StopResource] # readPrec :: ReadPrec StopResource # readListPrec :: ReadPrec [StopResource] #
Show StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods showsPrec :: Int -> StopResource -> ShowS # show :: StopResource -> String # showList :: [StopResource] -> ShowS #
NFData StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods rnf :: StopResource -> () #
Eq StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods (==) :: StopResource -> StopResource -> Bool # (/=) :: StopResource -> StopResource -> Bool #
Hashable StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods hashWithSalt :: Int -> StopResource -> Int # hash :: StopResource -> Int #
type AWSResponse StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource type AWSResponse StopResource = StopResourceResponse
type Rep StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource type Rep StopResource = D1 ('MetaData "StopResource" "Amazonka.Forecast.StopResource" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "StopResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newStopResource Source #

Arguments

:: Text	`StopResource`
-> StopResource

Create a value of StopResource 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:

StopResource, stopResource_resourceArn - The Amazon Resource Name (ARN) that identifies the resource to stop. The supported ARNs are DatasetImportJobArn, PredictorArn, PredictorBacktestExportJobArn, ForecastArn, ForecastExportJobArn, ExplainabilityArn, and ExplainabilityExportArn.

data StopResourceResponse Source #

See: newStopResourceResponse smart constructor.

Constructors

StopResourceResponse'

Instances

Instances details

Generic StopResourceResponse Source #
Instance details Defined in Amazonka.Forecast.StopResource Associated Types type Rep StopResourceResponse :: Type -> Type # Methods from :: StopResourceResponse -> Rep StopResourceResponse x # to :: Rep StopResourceResponse x -> StopResourceResponse #
Read StopResourceResponse Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods readsPrec :: Int -> ReadS StopResourceResponse # readList :: ReadS [StopResourceResponse] # readPrec :: ReadPrec StopResourceResponse # readListPrec :: ReadPrec [StopResourceResponse] #
Show StopResourceResponse Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods showsPrec :: Int -> StopResourceResponse -> ShowS # show :: StopResourceResponse -> String # showList :: [StopResourceResponse] -> ShowS #
NFData StopResourceResponse Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods rnf :: StopResourceResponse -> () #
Eq StopResourceResponse Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods (==) :: StopResourceResponse -> StopResourceResponse -> Bool # (/=) :: StopResourceResponse -> StopResourceResponse -> Bool #
type Rep StopResourceResponse Source #
Instance details Defined in Amazonka.Forecast.StopResource type Rep StopResourceResponse = D1 ('MetaData "StopResourceResponse" "Amazonka.Forecast.StopResource" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "StopResourceResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newStopResourceResponse :: StopResourceResponse Source #

Create a value of StopResourceResponse with all optional fields omitted.

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

TagResource

data TagResource Source #

See: newTagResource smart constructor.

Constructors

TagResource' Text [Tag]

Instances

Instances details

ToJSON TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods toJSON :: TagResource -> Value # toEncoding :: TagResource -> Encoding # toJSONList :: [TagResource] -> Value # toEncodingList :: [TagResource] -> Encoding #
ToHeaders TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods toHeaders :: TagResource -> [Header] #
ToPath TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods toPath :: TagResource -> ByteString #
ToQuery TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods toQuery :: TagResource -> QueryString #
AWSRequest TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Associated Types type AWSResponse TagResource # Methods request :: (Service -> Service) -> TagResource -> Request TagResource # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy TagResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse TagResource))) #
Generic TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Associated Types type Rep TagResource :: Type -> Type # Methods from :: TagResource -> Rep TagResource x # to :: Rep TagResource x -> TagResource #
Show TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods showsPrec :: Int -> TagResource -> ShowS # show :: TagResource -> String # showList :: [TagResource] -> ShowS #
NFData TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods rnf :: TagResource -> () #
Eq TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods (==) :: TagResource -> TagResource -> Bool # (/=) :: TagResource -> TagResource -> Bool #
Hashable TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods hashWithSalt :: Int -> TagResource -> Int # hash :: TagResource -> Int #
type AWSResponse TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource type AWSResponse TagResource = TagResourceResponse
type Rep TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource type Rep TagResource = D1 ('MetaData "TagResource" "Amazonka.Forecast.TagResource" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "TagResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Tag])))

newTagResource Source #

Arguments

:: Text	`TagResource`
-> 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:

TagResource, tagResource_resourceArn - The Amazon Resource Name (ARN) that identifies the resource for which to list the tags.

$sel:tags:TagResource', tagResource_tags - The tags to add to the resource. A tag is an array of key-value pairs.

The following basic restrictions apply to tags:

Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

data TagResourceResponse Source #

See: newTagResourceResponse smart constructor.

Constructors

TagResourceResponse' Int

Instances

Instances details

Generic TagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.TagResource Associated Types type Rep TagResourceResponse :: Type -> Type # Methods from :: TagResourceResponse -> Rep TagResourceResponse x # to :: Rep TagResourceResponse x -> TagResourceResponse #
Read TagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods readsPrec :: Int -> ReadS TagResourceResponse # readList :: ReadS [TagResourceResponse] # readPrec :: ReadPrec TagResourceResponse # readListPrec :: ReadPrec [TagResourceResponse] #
Show TagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods showsPrec :: Int -> TagResourceResponse -> ShowS # show :: TagResourceResponse -> String # showList :: [TagResourceResponse] -> ShowS #
NFData TagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods rnf :: TagResourceResponse -> () #
Eq TagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods (==) :: TagResourceResponse -> TagResourceResponse -> Bool # (/=) :: TagResourceResponse -> TagResourceResponse -> Bool #
type Rep TagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.TagResource type Rep TagResourceResponse = D1 ('MetaData "TagResourceResponse" "Amazonka.Forecast.TagResource" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "TagResourceResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newTagResourceResponse Source #

Arguments

:: Int	`$sel:httpStatus:TagResourceResponse'`
-> 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 [Sensitive Text]

Instances

Instances details

ToJSON UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods toJSON :: UntagResource -> Value # toEncoding :: UntagResource -> Encoding # toJSONList :: [UntagResource] -> Value # toEncodingList :: [UntagResource] -> Encoding #
ToHeaders UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods toHeaders :: UntagResource -> [Header] #
ToPath UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods toPath :: UntagResource -> ByteString #
ToQuery UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods toQuery :: UntagResource -> QueryString #
AWSRequest UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Associated Types type AWSResponse UntagResource # Methods request :: (Service -> Service) -> UntagResource -> Request UntagResource # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy UntagResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse UntagResource))) #
Generic UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Associated Types type Rep UntagResource :: Type -> Type # Methods from :: UntagResource -> Rep UntagResource x # to :: Rep UntagResource x -> UntagResource #
Show UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods showsPrec :: Int -> UntagResource -> ShowS # show :: UntagResource -> String # showList :: [UntagResource] -> ShowS #
NFData UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods rnf :: UntagResource -> () #
Eq UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods (==) :: UntagResource -> UntagResource -> Bool # (/=) :: UntagResource -> UntagResource -> Bool #
Hashable UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods hashWithSalt :: Int -> UntagResource -> Int # hash :: UntagResource -> Int #
type AWSResponse UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource type AWSResponse UntagResource = UntagResourceResponse
type Rep UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource type Rep UntagResource = D1 ('MetaData "UntagResource" "Amazonka.Forecast.UntagResource" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "UntagResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "tagKeys") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Sensitive Text])))

newUntagResource Source #

Arguments

:: Text	`UntagResource`
-> 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:

UntagResource, untagResource_resourceArn - The Amazon Resource Name (ARN) that identifies the resource for which to list the tags.

$sel:tagKeys:UntagResource', untagResource_tagKeys - The keys of the tags to be removed.

data UntagResourceResponse Source #

See: newUntagResourceResponse smart constructor.

Constructors

UntagResourceResponse' Int

Instances

Instances details

Generic UntagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.UntagResource Associated Types type Rep UntagResourceResponse :: Type -> Type # Methods from :: UntagResourceResponse -> Rep UntagResourceResponse x # to :: Rep UntagResourceResponse x -> UntagResourceResponse #
Read UntagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods readsPrec :: Int -> ReadS UntagResourceResponse # readList :: ReadS [UntagResourceResponse] # readPrec :: ReadPrec UntagResourceResponse # readListPrec :: ReadPrec [UntagResourceResponse] #
Show UntagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods showsPrec :: Int -> UntagResourceResponse -> ShowS # show :: UntagResourceResponse -> String # showList :: [UntagResourceResponse] -> ShowS #
NFData UntagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods rnf :: UntagResourceResponse -> () #
Eq UntagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods (==) :: UntagResourceResponse -> UntagResourceResponse -> Bool # (/=) :: UntagResourceResponse -> UntagResourceResponse -> Bool #
type Rep UntagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.UntagResource type Rep UntagResourceResponse = D1 ('MetaData "UntagResourceResponse" "Amazonka.Forecast.UntagResource" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "UntagResourceResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newUntagResourceResponse Source #

Arguments

:: Int	`$sel:httpStatus:UntagResourceResponse'`
-> UntagResourceResponse

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.

UpdateDatasetGroup

data UpdateDatasetGroup Source #

See: newUpdateDatasetGroup smart constructor.

Constructors

UpdateDatasetGroup' Text [Text]

Instances

Instances details

ToJSON UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods toJSON :: UpdateDatasetGroup -> Value # toEncoding :: UpdateDatasetGroup -> Encoding # toJSONList :: [UpdateDatasetGroup] -> Value # toEncodingList :: [UpdateDatasetGroup] -> Encoding #
ToHeaders UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods toHeaders :: UpdateDatasetGroup -> [Header] #
ToPath UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods toPath :: UpdateDatasetGroup -> ByteString #
ToQuery UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods toQuery :: UpdateDatasetGroup -> QueryString #
AWSRequest UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Associated Types type AWSResponse UpdateDatasetGroup # Methods request :: (Service -> Service) -> UpdateDatasetGroup -> Request UpdateDatasetGroup # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy UpdateDatasetGroup -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse UpdateDatasetGroup))) #
Generic UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Associated Types type Rep UpdateDatasetGroup :: Type -> Type # Methods from :: UpdateDatasetGroup -> Rep UpdateDatasetGroup x # to :: Rep UpdateDatasetGroup x -> UpdateDatasetGroup #
Read UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods readsPrec :: Int -> ReadS UpdateDatasetGroup # readList :: ReadS [UpdateDatasetGroup] # readPrec :: ReadPrec UpdateDatasetGroup # readListPrec :: ReadPrec [UpdateDatasetGroup] #
Show UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods showsPrec :: Int -> UpdateDatasetGroup -> ShowS # show :: UpdateDatasetGroup -> String # showList :: [UpdateDatasetGroup] -> ShowS #
NFData UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods rnf :: UpdateDatasetGroup -> () #
Eq UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods (==) :: UpdateDatasetGroup -> UpdateDatasetGroup -> Bool # (/=) :: UpdateDatasetGroup -> UpdateDatasetGroup -> Bool #
Hashable UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods hashWithSalt :: Int -> UpdateDatasetGroup -> Int # hash :: UpdateDatasetGroup -> Int #
type AWSResponse UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup type AWSResponse UpdateDatasetGroup = UpdateDatasetGroupResponse
type Rep UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup type Rep UpdateDatasetGroup = D1 ('MetaData "UpdateDatasetGroup" "Amazonka.Forecast.UpdateDatasetGroup" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "UpdateDatasetGroup'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "datasetArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Text])))

newUpdateDatasetGroup Source #

Arguments

:: Text	`UpdateDatasetGroup`
-> UpdateDatasetGroup

Create a value of UpdateDatasetGroup 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:

UpdateDatasetGroup, updateDatasetGroup_datasetGroupArn - The ARN of the dataset group.

$sel:datasetArns:UpdateDatasetGroup', updateDatasetGroup_datasetArns - An array of the Amazon Resource Names (ARNs) of the datasets to add to the dataset group.

data UpdateDatasetGroupResponse Source #

See: newUpdateDatasetGroupResponse smart constructor.

Constructors

UpdateDatasetGroupResponse' Int

Instances

Instances details

Generic UpdateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Associated Types type Rep UpdateDatasetGroupResponse :: Type -> Type # Methods from :: UpdateDatasetGroupResponse -> Rep UpdateDatasetGroupResponse x # to :: Rep UpdateDatasetGroupResponse x -> UpdateDatasetGroupResponse #
Read UpdateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods readsPrec :: Int -> ReadS UpdateDatasetGroupResponse # readList :: ReadS [UpdateDatasetGroupResponse] # readPrec :: ReadPrec UpdateDatasetGroupResponse # readListPrec :: ReadPrec [UpdateDatasetGroupResponse] #
Show UpdateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods showsPrec :: Int -> UpdateDatasetGroupResponse -> ShowS # show :: UpdateDatasetGroupResponse -> String # showList :: [UpdateDatasetGroupResponse] -> ShowS #
NFData UpdateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods rnf :: UpdateDatasetGroupResponse -> () #
Eq UpdateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods (==) :: UpdateDatasetGroupResponse -> UpdateDatasetGroupResponse -> Bool # (/=) :: UpdateDatasetGroupResponse -> UpdateDatasetGroupResponse -> Bool #
type Rep UpdateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup type Rep UpdateDatasetGroupResponse = D1 ('MetaData "UpdateDatasetGroupResponse" "Amazonka.Forecast.UpdateDatasetGroup" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "UpdateDatasetGroupResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newUpdateDatasetGroupResponse Source #

Arguments

:: Int	`$sel:httpStatus:UpdateDatasetGroupResponse'`
-> UpdateDatasetGroupResponse

Create a value of UpdateDatasetGroupResponse 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:UpdateDatasetGroupResponse', updateDatasetGroupResponse_httpStatus - The response's http status code.

Types

AttributeType

newtype AttributeType Source #

Constructors

AttributeType'
Fields fromAttributeType :: Text

Bundled Patterns

pattern AttributeType_Float :: AttributeType
pattern AttributeType_Geolocation :: AttributeType
pattern AttributeType_Integer :: AttributeType
pattern AttributeType_String :: AttributeType
pattern AttributeType_Timestamp :: AttributeType

Instances

Instances details

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

AutoMLOverrideStrategy

newtype AutoMLOverrideStrategy Source #

Constructors

AutoMLOverrideStrategy'
Fields fromAutoMLOverrideStrategy :: Text

Bundled Patterns

pattern AutoMLOverrideStrategy_AccuracyOptimized :: AutoMLOverrideStrategy
pattern AutoMLOverrideStrategy_LatencyOptimized :: AutoMLOverrideStrategy

Instances

Instances details

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

Condition

newtype Condition Source #

Constructors

Condition'
Fields fromCondition :: Text

Bundled Patterns

pattern Condition_EQUALS :: Condition
pattern Condition_GREATER_THAN :: Condition
pattern Condition_LESS_THAN :: Condition
pattern Condition_NOT_EQUALS :: Condition

Instances

Instances details

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

DatasetType

newtype DatasetType Source #

Constructors

DatasetType'
Fields fromDatasetType :: Text

Bundled Patterns

pattern DatasetType_ITEM_METADATA :: DatasetType
pattern DatasetType_RELATED_TIME_SERIES :: DatasetType
pattern DatasetType_TARGET_TIME_SERIES :: DatasetType

Instances

Instances details

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

DayOfWeek

newtype DayOfWeek Source #

Constructors

DayOfWeek'
Fields fromDayOfWeek :: Text

Bundled Patterns

pattern DayOfWeek_FRIDAY :: DayOfWeek
pattern DayOfWeek_MONDAY :: DayOfWeek
pattern DayOfWeek_SATURDAY :: DayOfWeek
pattern DayOfWeek_SUNDAY :: DayOfWeek
pattern DayOfWeek_THURSDAY :: DayOfWeek
pattern DayOfWeek_TUESDAY :: DayOfWeek
pattern DayOfWeek_WEDNESDAY :: DayOfWeek

Instances

Instances details

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

Domain

newtype Domain Source #

Constructors

Domain'
Fields fromDomain :: Text

Bundled Patterns

pattern Domain_CUSTOM :: Domain
pattern Domain_EC2_CAPACITY :: Domain
pattern Domain_INVENTORY_PLANNING :: Domain
pattern Domain_METRICS :: Domain
pattern Domain_RETAIL :: Domain
pattern Domain_WEB_TRAFFIC :: Domain
pattern Domain_WORK_FORCE :: Domain

Instances

Instances details

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

EvaluationType

newtype EvaluationType Source #

Constructors

EvaluationType'
Fields fromEvaluationType :: Text

Bundled Patterns

pattern EvaluationType_COMPUTED :: EvaluationType
pattern EvaluationType_SUMMARY :: EvaluationType

Instances

Instances details

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

FeaturizationMethodName

newtype FeaturizationMethodName Source #

Constructors

FeaturizationMethodName'
Fields fromFeaturizationMethodName :: Text

Bundled Patterns

pattern FeaturizationMethodName_Filling :: FeaturizationMethodName

Instances

Instances details

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

FilterConditionString

newtype FilterConditionString Source #

Constructors

FilterConditionString'
Fields fromFilterConditionString :: Text

Bundled Patterns

pattern FilterConditionString_IS :: FilterConditionString
pattern FilterConditionString_IS_NOT :: FilterConditionString

Instances

Instances details

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

Month

newtype Month Source #

Constructors

Month'
Fields fromMonth :: Text

Bundled Patterns

pattern Month_APRIL :: Month
pattern Month_AUGUST :: Month
pattern Month_DECEMBER :: Month
pattern Month_FEBRUARY :: Month
pattern Month_JANUARY :: Month
pattern Month_JULY :: Month
pattern Month_JUNE :: Month
pattern Month_MARCH :: Month
pattern Month_MAY :: Month
pattern Month_NOVEMBER :: Month
pattern Month_OCTOBER :: Month
pattern Month_SEPTEMBER :: Month

Instances

Instances details

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

Operation

newtype Operation Source #

Constructors

Operation'
Fields fromOperation :: Text

Bundled Patterns

pattern Operation_ADD :: Operation
pattern Operation_DIVIDE :: Operation
pattern Operation_MULTIPLY :: Operation
pattern Operation_SUBTRACT :: Operation

Instances

Instances details

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

OptimizationMetric

newtype OptimizationMetric Source #

Constructors

OptimizationMetric'
Fields fromOptimizationMetric :: Text

Bundled Patterns

pattern OptimizationMetric_AverageWeightedQuantileLoss :: OptimizationMetric
pattern OptimizationMetric_MAPE :: OptimizationMetric
pattern OptimizationMetric_MASE :: OptimizationMetric
pattern OptimizationMetric_RMSE :: OptimizationMetric
pattern OptimizationMetric_WAPE :: OptimizationMetric

Instances

Instances details

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

ScalingType

newtype ScalingType Source #

Constructors

ScalingType'
Fields fromScalingType :: Text

Bundled Patterns

pattern ScalingType_Auto :: ScalingType
pattern ScalingType_Linear :: ScalingType
pattern ScalingType_Logarithmic :: ScalingType
pattern ScalingType_ReverseLogarithmic :: ScalingType

Instances

Instances details

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

State

newtype State Source #

Constructors

State'
Fields fromState :: Text

Bundled Patterns

pattern State_Active :: State
pattern State_Deleted :: State

Instances

Instances details

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

TimePointGranularity

newtype TimePointGranularity Source #

Constructors

TimePointGranularity'
Fields fromTimePointGranularity :: Text

Bundled Patterns

pattern TimePointGranularity_ALL :: TimePointGranularity
pattern TimePointGranularity_SPECIFIC :: TimePointGranularity

Instances

Instances details

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

TimeSeriesGranularity

newtype TimeSeriesGranularity Source #

Constructors

TimeSeriesGranularity'
Fields fromTimeSeriesGranularity :: Text

Bundled Patterns

pattern TimeSeriesGranularity_ALL :: TimeSeriesGranularity
pattern TimeSeriesGranularity_SPECIFIC :: TimeSeriesGranularity

Instances

Instances details

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

Action

data Action Source #

Defines the modifications that you are making to an attribute for a what-if forecast. For example, you can use this operation to create a what-if forecast that investigates a 10% off sale on all shoes. To do this, you specify "AttributeName": "shoes", "Operation": "MULTIPLY", and "Value": "0.90". Pair this operation with the TimeSeriesCondition operation within the CreateWhatIfForecastRequest$TimeSeriesTransformations operation to define a subset of attribute items that are modified.

See: newAction smart constructor.

Constructors

Action' Text Operation Double

Instances

Instances details

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

newAction Source #

Arguments

:: Text	`$sel:attributeName:Action'`
-> Operation	`$sel:operation:Action'`
-> Double	`$sel:value:Action'`
-> Action

Create a value of Action 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:attributeName:Action', action_attributeName - The related time series that you are modifying. This value is case insensitive.

$sel:operation:Action', action_operation - The operation that is applied to the provided attribute. Operations include:

ADD - adds Value to all rows of AttributeName.
SUBTRACT - subtracts Value from all rows of AttributeName.
MULTIPLY - multiplies all rows of AttributeName by Value.
DIVIDE - divides all rows of AttributeName by Value.

$sel:value:Action', action_value - The value that is applied for the chosen Operation.

AdditionalDataset

data AdditionalDataset Source #

Describes an additional dataset. This object is part of the DataConfig object. Forecast supports the Weather Index and Holidays additional datasets.

Weather Index

The Amazon Forecast Weather Index is a built-in dataset that incorporates historical and projected weather information into your model. The Weather Index supplements your datasets with over two years of historical weather data and up to 14 days of projected weather data. For more information, see Amazon Forecast Weather Index.

Holidays

Holidays is a built-in dataset that incorporates national holiday information into your model. It provides native support for the holiday calendars of 66 countries. To view the holiday calendars, refer to the Jollyday library. For more information, see Holidays Featurization.

See: newAdditionalDataset smart constructor.

Constructors

AdditionalDataset' (Maybe (HashMap Text (NonEmpty Text))) Text

Instances

Instances details

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

newAdditionalDataset Source #

Arguments

:: Text	`$sel:name:AdditionalDataset'`
-> AdditionalDataset

Create a value of AdditionalDataset 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:configuration:AdditionalDataset', additionalDataset_configuration - Weather Index

To enable the Weather Index, do not specify a value for Configuration.

Holidays

To enable Holidays, set CountryCode to one of the following two-letter country codes:

"AL" - ALBANIA
"AR" - ARGENTINA
"AT" - AUSTRIA
"AU" - AUSTRALIA
"BA" - BOSNIA HERZEGOVINA
"BE" - BELGIUM
"BG" - BULGARIA
"BO" - BOLIVIA
"BR" - BRAZIL
"BY" - BELARUS
"CA" - CANADA
"CL" - CHILE
"CO" - COLOMBIA
"CR" - COSTA RICA
"HR" - CROATIA
"CZ" - CZECH REPUBLIC
"DK" - DENMARK
"EC" - ECUADOR
"EE" - ESTONIA
"ET" - ETHIOPIA
"FI" - FINLAND
"FR" - FRANCE
"DE" - GERMANY
"GR" - GREECE
"HU" - HUNGARY
"IS" - ICELAND
"IN" - INDIA
"IE" - IRELAND
"IT" - ITALY
"JP" - JAPAN
"KZ" - KAZAKHSTAN
"KR" - KOREA
"LV" - LATVIA
"LI" - LIECHTENSTEIN
"LT" - LITHUANIA
"LU" - LUXEMBOURG
"MK" - MACEDONIA
"MT" - MALTA
"MX" - MEXICO
"MD" - MOLDOVA
"ME" - MONTENEGRO
"NL" - NETHERLANDS
"NZ" - NEW ZEALAND
"NI" - NICARAGUA
"NG" - NIGERIA
"NO" - NORWAY
"PA" - PANAMA
"PY" - PARAGUAY
"PE" - PERU
"PL" - POLAND
"PT" - PORTUGAL
"RO" - ROMANIA
"RU" - RUSSIA
"RS" - SERBIA
"SK" - SLOVAKIA
"SI" - SLOVENIA
"ZA" - SOUTH AFRICA
"ES" - SPAIN
"SE" - SWEDEN
"CH" - SWITZERLAND
"UA" - UKRAINE
"AE" - UNITED ARAB EMIRATES
"US" - UNITED STATES
"UK" - UNITED KINGDOM
"UY" - URUGUAY
"VE" - VENEZUELA

$sel:name:AdditionalDataset', additionalDataset_name - The name of the additional dataset. Valid names: "holiday" and "weather".

AttributeConfig

data AttributeConfig Source #

Provides information about the method used to transform attributes.

The following is an example using the RETAIL domain:

"AttributeName": "demand",

"Transformations": {"aggregation": "sum", "middlefill": "zero", "backfill": "zero"}

See: newAttributeConfig smart constructor.

Constructors

AttributeConfig' Text (HashMap Text Text)

Instances

Instances details

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

newAttributeConfig Source #

Arguments

:: Text	`$sel:attributeName:AttributeConfig'`
-> AttributeConfig

Create a value of AttributeConfig 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:attributeName:AttributeConfig', attributeConfig_attributeName - The name of the attribute as specified in the schema. Amazon Forecast supports the target field of the target time series and the related time series datasets. For example, for the RETAIL domain, the target is demand.

$sel:transformations:AttributeConfig', attributeConfig_transformations - The method parameters (key-value pairs), which are a map of override parameters. Specify these parameters to override the default values. Related Time Series attributes do not accept aggregation parameters.

The following list shows the parameters and their valid values for the "filling" featurization method for a Target Time Series dataset. Default values are bolded.

aggregation: sum, avg, first, min, max
frontfill: none
middlefill: zero, nan (not a number), value, median, mean, min, max
backfill: zero, nan, value, median, mean, min, max

The following list shows the parameters and their valid values for a Related Time Series featurization method (there are no defaults):

middlefill: zero, value, median, mean, min, max
backfill: zero, value, median, mean, min, max
futurefill: zero, value, median, mean, min, max

To set a filling method to a specific value, set the fill parameter to value and define the value in a corresponding _value parameter. For example, to set backfilling to a value of 2, include the following: "backfill": "value" and "backfill_value":"2".

Baseline

data Baseline Source #

Metrics you can use as a baseline for comparison purposes. Use these metrics when you interpret monitoring results for an auto predictor.

See: newBaseline smart constructor.

Constructors

Baseline' (Maybe PredictorBaseline)

Instances

Instances details

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

newBaseline :: Baseline Source #

Create a value of Baseline 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:predictorBaseline:Baseline', baseline_predictorBaseline - The initial accuracy metrics for the predictor you are monitoring. Use these metrics as a baseline for comparison purposes as you use your predictor and the metrics change.

BaselineMetric

data BaselineMetric Source #

An individual metric that you can use for comparison as you evaluate your monitoring results.

See: newBaselineMetric smart constructor.

Constructors

BaselineMetric' (Maybe Text) (Maybe Double)

Instances

Instances details

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

newBaselineMetric :: BaselineMetric Source #

Create a value of BaselineMetric with all optional fields omitted.

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

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

$sel:name:BaselineMetric', baselineMetric_name - The name of the metric.

$sel:value:BaselineMetric', baselineMetric_value - The value for the metric.

CategoricalParameterRange

data CategoricalParameterRange Source #

Specifies a categorical hyperparameter and it's range of tunable values. This object is part of the ParameterRanges object.

See: newCategoricalParameterRange smart constructor.

Constructors

CategoricalParameterRange' Text (NonEmpty Text)

Instances

Instances details

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

newCategoricalParameterRange Source #

Arguments

:: Text	`$sel:name:CategoricalParameterRange'`
-> NonEmpty Text	`$sel:values:CategoricalParameterRange'`
-> CategoricalParameterRange

Create a value of CategoricalParameterRange with all optional fields omitted.

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

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

$sel:name:CategoricalParameterRange', categoricalParameterRange_name - The name of the categorical hyperparameter to tune.

$sel:values:CategoricalParameterRange', categoricalParameterRange_values - A list of the tunable categories for the hyperparameter.

ContinuousParameterRange

data ContinuousParameterRange Source #

Specifies a continuous hyperparameter and it's range of tunable values. This object is part of the ParameterRanges object.

See: newContinuousParameterRange smart constructor.

Constructors

ContinuousParameterRange' (Maybe ScalingType) Text Double Double

Instances

Instances details

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

newContinuousParameterRange Source #

Arguments

:: Text	`$sel:name:ContinuousParameterRange'`
-> Double	`$sel:maxValue:ContinuousParameterRange'`
-> Double	`$sel:minValue:ContinuousParameterRange'`
-> ContinuousParameterRange

Create a value of ContinuousParameterRange 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:scalingType:ContinuousParameterRange', continuousParameterRange_scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:

Auto: Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
Linear: Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic: Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have values greater than 0.
ReverseLogarithmic: hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
Reverse logarithmic scaling works only for ranges that are entirely within the range 0 <= x < 1.0.

For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

$sel:name:ContinuousParameterRange', continuousParameterRange_name - The name of the hyperparameter to tune.

$sel:maxValue:ContinuousParameterRange', continuousParameterRange_maxValue - The maximum tunable value of the hyperparameter.

$sel:minValue:ContinuousParameterRange', continuousParameterRange_minValue - The minimum tunable value of the hyperparameter.

DataConfig

data DataConfig Source #

The data configuration for your dataset group and any additional datasets.

See: newDataConfig smart constructor.

Constructors

DataConfig' (Maybe (NonEmpty AdditionalDataset)) (Maybe (NonEmpty AttributeConfig)) Text

Instances

Instances details

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

newDataConfig Source #

Arguments

:: Text	`$sel:datasetGroupArn:DataConfig'`
-> DataConfig

Create a value of DataConfig 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:additionalDatasets:DataConfig', dataConfig_additionalDatasets - Additional built-in datasets like Holidays and the Weather Index.

$sel:attributeConfigs:DataConfig', dataConfig_attributeConfigs - Aggregation and filling options for attributes in your dataset group.

$sel:datasetGroupArn:DataConfig', dataConfig_datasetGroupArn - The ARN of the dataset group used to train the predictor.

DataDestination

data DataDestination Source #

The destination for an export job. Provide an S3 path, an AWS Identity and Access Management (IAM) role that allows Amazon Forecast to access the location, and an AWS Key Management Service (KMS) key (optional).

See: newDataDestination smart constructor.

Constructors

DataDestination' S3Config

Instances

Instances details

FromJSON DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination Methods parseJSON :: Value -> Parser DataDestination # parseJSONList :: Value -> Parser [DataDestination] #
ToJSON DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination Methods toJSON :: DataDestination -> Value # toEncoding :: DataDestination -> Encoding # toJSONList :: [DataDestination] -> Value # toEncodingList :: [DataDestination] -> Encoding #
Generic DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination Associated Types type Rep DataDestination :: Type -> Type # Methods from :: DataDestination -> Rep DataDestination x # to :: Rep DataDestination x -> DataDestination #
Read DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination Methods readsPrec :: Int -> ReadS DataDestination # readList :: ReadS [DataDestination] # readPrec :: ReadPrec DataDestination # readListPrec :: ReadPrec [DataDestination] #
Show DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination Methods showsPrec :: Int -> DataDestination -> ShowS # show :: DataDestination -> String # showList :: [DataDestination] -> ShowS #
NFData DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination Methods rnf :: DataDestination -> () #
Eq DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination Methods (==) :: DataDestination -> DataDestination -> Bool # (/=) :: DataDestination -> DataDestination -> Bool #
Hashable DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination Methods hashWithSalt :: Int -> DataDestination -> Int # hash :: DataDestination -> Int #
type Rep DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination type Rep DataDestination = D1 ('MetaData "DataDestination" "Amazonka.Forecast.Types.DataDestination" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DataDestination'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Config") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3Config)))

newDataDestination Source #

Arguments

:: S3Config	`$sel:s3Config:DataDestination'`
-> DataDestination

Create a value of DataDestination 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:s3Config:DataDestination', dataDestination_s3Config - The path to an Amazon Simple Storage Service (Amazon S3) bucket along with the credentials to access the bucket.

DataSource

data DataSource Source #

The source of your data, an AWS Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an AWS Key Management Service (KMS) key.

See: newDataSource smart constructor.

Constructors

DataSource' S3Config

Instances

Instances details

FromJSON DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource Methods parseJSON :: Value -> Parser DataSource # parseJSONList :: Value -> Parser [DataSource] #
ToJSON DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource Methods toJSON :: DataSource -> Value # toEncoding :: DataSource -> Encoding # toJSONList :: [DataSource] -> Value # toEncodingList :: [DataSource] -> Encoding #
Generic DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource Associated Types type Rep DataSource :: Type -> Type # Methods from :: DataSource -> Rep DataSource x # to :: Rep DataSource x -> DataSource #
Read DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource Methods readsPrec :: Int -> ReadS DataSource # readList :: ReadS [DataSource] # readPrec :: ReadPrec DataSource # readListPrec :: ReadPrec [DataSource] #
Show DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource Methods showsPrec :: Int -> DataSource -> ShowS # show :: DataSource -> String # showList :: [DataSource] -> ShowS #
NFData DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource Methods rnf :: DataSource -> () #
Eq DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource Methods (==) :: DataSource -> DataSource -> Bool # (/=) :: DataSource -> DataSource -> Bool #
Hashable DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource Methods hashWithSalt :: Int -> DataSource -> Int # hash :: DataSource -> Int #
type Rep DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource type Rep DataSource = D1 ('MetaData "DataSource" "Amazonka.Forecast.Types.DataSource" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "DataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Config") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3Config)))

newDataSource Source #

Arguments

:: S3Config	`$sel:s3Config:DataSource'`
-> DataSource

Create a value of DataSource with all optional fields omitted.

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

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

$sel:s3Config:DataSource', dataSource_s3Config - The path to the data stored in an Amazon Simple Storage Service (Amazon S3) bucket along with the credentials to access the data.

DatasetGroupSummary

data DatasetGroupSummary Source #

Provides a summary of the dataset group properties used in the ListDatasetGroups operation. To get the complete set of properties, call the DescribeDatasetGroup operation, and provide the DatasetGroupArn.

See: newDatasetGroupSummary smart constructor.

Constructors

DatasetGroupSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX)

Instances

Instances details

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

newDatasetGroupSummary :: DatasetGroupSummary Source #

Create a value of DatasetGroupSummary with all optional fields omitted.

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

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

$sel:creationTime:DatasetGroupSummary', datasetGroupSummary_creationTime - When the dataset group was created.

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

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

$sel:lastModificationTime:DatasetGroupSummary', datasetGroupSummary_lastModificationTime - When the dataset group was created or last updated from a call to the UpdateDatasetGroup operation. While the dataset group is being updated, LastModificationTime is the current time of the ListDatasetGroups call.

DatasetImportJobSummary

data DatasetImportJobSummary Source #

Provides a summary of the dataset import job properties used in the ListDatasetImportJobs operation. To get the complete set of properties, call the DescribeDatasetImportJob operation, and provide the DatasetImportJobArn.

See: newDatasetImportJobSummary smart constructor.

Constructors

DatasetImportJobSummary' (Maybe POSIX) (Maybe DataSource) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)

Instances

Instances details

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

newDatasetImportJobSummary :: DatasetImportJobSummary Source #

Create a value of DatasetImportJobSummary with all optional fields omitted.

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

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

$sel:creationTime:DatasetImportJobSummary', datasetImportJobSummary_creationTime - When the dataset import job was created.

$sel:dataSource:DatasetImportJobSummary', datasetImportJobSummary_dataSource - The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. The training data must be stored in an Amazon S3 bucket.

If encryption is used, DataSource includes an AWS Key Management Service (KMS) key.

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

$sel:datasetImportJobName:DatasetImportJobSummary', datasetImportJobSummary_datasetImportJobName - The name of the dataset import job.

$sel:lastModificationTime:DatasetImportJobSummary', datasetImportJobSummary_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

$sel:message:DatasetImportJobSummary', datasetImportJobSummary_message - If an error occurred, an informational message about the error.

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

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
CREATE_STOPPING, CREATE_STOPPED

DatasetSummary

data DatasetSummary Source #

Provides a summary of the dataset properties used in the ListDatasets operation. To get the complete set of properties, call the DescribeDataset operation, and provide the DatasetArn.

See: newDatasetSummary smart constructor.

Constructors

DatasetSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe DatasetType) (Maybe Domain) (Maybe POSIX)

Instances

Instances details

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

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:creationTime:DatasetSummary', datasetSummary_creationTime - When the dataset was created.

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

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

$sel:datasetType:DatasetSummary', datasetSummary_datasetType - The dataset type.

$sel:domain:DatasetSummary', datasetSummary_domain - The domain associated with the dataset.

$sel:lastModificationTime:DatasetSummary', datasetSummary_lastModificationTime - When you create a dataset, LastModificationTime is the same as CreationTime. While data is being imported to the dataset, LastModificationTime is the current time of the ListDatasets call. After a CreateDatasetImportJob operation has finished, LastModificationTime is when the import job completed or failed.

EncryptionConfig

data EncryptionConfig Source #

An AWS Key Management Service (KMS) key and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key. You can specify this optional object in the CreateDataset and CreatePredictor requests.

See: newEncryptionConfig smart constructor.

Constructors

EncryptionConfig' Text Text

Instances

Instances details

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

newEncryptionConfig Source #

Arguments

:: Text	`$sel:roleArn:EncryptionConfig'`
-> Text	`$sel:kmsKeyArn:EncryptionConfig'`
-> EncryptionConfig

Create a value of EncryptionConfig 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:roleArn:EncryptionConfig', encryptionConfig_roleArn - The ARN of the IAM role that Amazon Forecast can assume to access the AWS KMS key.

Passing a role across AWS accounts is not allowed. If you pass a role that isn't in your account, you get an InvalidInputException error.

$sel:kmsKeyArn:EncryptionConfig', encryptionConfig_kmsKeyArn - The Amazon Resource Name (ARN) of the KMS key.

ErrorMetric

data ErrorMetric Source #

Provides detailed error metrics to evaluate the performance of a predictor. This object is part of the Metrics object.

See: newErrorMetric smart constructor.

Constructors

ErrorMetric' (Maybe Text) (Maybe Double) (Maybe Double) (Maybe Double) (Maybe Double)

Instances

Instances details

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

newErrorMetric :: ErrorMetric Source #

Create a value of ErrorMetric 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:forecastType:ErrorMetric', errorMetric_forecastType - The Forecast type used to compute WAPE, MAPE, MASE, and RMSE.

$sel:mape:ErrorMetric', errorMetric_mape - The Mean Absolute Percentage Error (MAPE)

$sel:mase:ErrorMetric', errorMetric_mase - The Mean Absolute Scaled Error (MASE)

$sel:rmse:ErrorMetric', errorMetric_rmse - The root-mean-square error (RMSE).

$sel:wape:ErrorMetric', errorMetric_wape - The weighted absolute percentage error (WAPE).

EvaluationParameters

data EvaluationParameters Source #

Parameters that define how to split a dataset into training data and testing data, and the number of iterations to perform. These parameters are specified in the predefined algorithms but you can override them in the CreatePredictor request.

See: newEvaluationParameters smart constructor.

Constructors

EvaluationParameters' (Maybe Int) (Maybe Int)

Instances

Instances details

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

newEvaluationParameters :: EvaluationParameters Source #

Create a value of EvaluationParameters 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:backTestWindowOffset:EvaluationParameters', evaluationParameters_backTestWindowOffset - The point from the end of the dataset where you want to split the data for model training and testing (evaluation). Specify the value as the number of data points. The default is the value of the forecast horizon. BackTestWindowOffset can be used to mimic a past virtual forecast start date. This value must be greater than or equal to the forecast horizon and less than half of the TARGET_TIME_SERIES dataset length.

ForecastHorizon <= BackTestWindowOffset < 1/2 * TARGET_TIME_SERIES dataset length

$sel:numberOfBacktestWindows:EvaluationParameters', evaluationParameters_numberOfBacktestWindows - The number of times to split the input data. The default is 1. Valid values are 1 through 5.

EvaluationResult

data EvaluationResult Source #

The results of evaluating an algorithm. Returned as part of the GetAccuracyMetrics response.

See: newEvaluationResult smart constructor.

Constructors

EvaluationResult' (Maybe Text) (Maybe [WindowSummary])

Instances

Instances details

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

newEvaluationResult :: EvaluationResult Source #

Create a value of EvaluationResult with all optional fields omitted.

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

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

$sel:algorithmArn:EvaluationResult', evaluationResult_algorithmArn - The Amazon Resource Name (ARN) of the algorithm that was evaluated.

$sel:testWindows:EvaluationResult', evaluationResult_testWindows - The array of test windows used for evaluating the algorithm. The NumberOfBacktestWindows from the EvaluationParameters object determines the number of windows in the array.

ExplainabilityConfig

data ExplainabilityConfig Source #

The ExplainabilityConfig data type defines the number of time series and time points included in CreateExplainability.

If you provide a predictor ARN for ResourceArn, you must set both TimePointGranularity and TimeSeriesGranularity to “ALL”. When creating Predictor Explainability, Amazon Forecast considers all time series and time points.

If you provide a forecast ARN for ResourceArn, you can set TimePointGranularity and TimeSeriesGranularity to either “ALL” or “Specific”.

See: newExplainabilityConfig smart constructor.

Constructors

ExplainabilityConfig' TimeSeriesGranularity TimePointGranularity

Instances

Instances details

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

newExplainabilityConfig Source #

Arguments

:: TimeSeriesGranularity	`$sel:timeSeriesGranularity:ExplainabilityConfig'`
-> TimePointGranularity	`$sel:timePointGranularity:ExplainabilityConfig'`
-> ExplainabilityConfig

Create a value of ExplainabilityConfig 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:timeSeriesGranularity:ExplainabilityConfig', explainabilityConfig_timeSeriesGranularity - To create an Explainability for all time series in your datasets, use ALL. To create an Explainability for specific time series in your datasets, use SPECIFIC.

Specify time series by uploading a CSV or Parquet file to an Amazon S3 bucket and set the location within the DataDestination data type.

$sel:timePointGranularity:ExplainabilityConfig', explainabilityConfig_timePointGranularity - To create an Explainability for all time points in your forecast horizon, use ALL. To create an Explainability for specific time points in your forecast horizon, use SPECIFIC.

Specify time points with the StartDateTime and EndDateTime parameters within the CreateExplainability operation.

ExplainabilityExportSummary

data ExplainabilityExportSummary Source #

Provides a summary of the Explainability export properties used in the ListExplainabilityExports operation. To get a complete set of properties, call the DescribeExplainabilityExport operation, and provide the ExplainabilityExportArn.

See: newExplainabilityExportSummary smart constructor.

Constructors

ExplainabilityExportSummary' (Maybe POSIX) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)

Instances

Instances details

FromJSON ExplainabilityExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilityExportSummary Methods parseJSON :: Value -> Parser ExplainabilityExportSummary # parseJSONList :: Value -> Parser [ExplainabilityExportSummary] #
Generic ExplainabilityExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilityExportSummary Associated Types type Rep ExplainabilityExportSummary :: Type -> Type # Methods from :: ExplainabilityExportSummary -> Rep ExplainabilityExportSummary x # to :: Rep ExplainabilityExportSummary x -> ExplainabilityExportSummary #
Read ExplainabilityExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilityExportSummary Methods readsPrec :: Int -> ReadS ExplainabilityExportSummary # readList :: ReadS [ExplainabilityExportSummary] # readPrec :: ReadPrec ExplainabilityExportSummary # readListPrec :: ReadPrec [ExplainabilityExportSummary] #
Show ExplainabilityExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilityExportSummary Methods showsPrec :: Int -> ExplainabilityExportSummary -> ShowS # show :: ExplainabilityExportSummary -> String # showList :: [ExplainabilityExportSummary] -> ShowS #
NFData ExplainabilityExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilityExportSummary Methods rnf :: ExplainabilityExportSummary -> () #
Eq ExplainabilityExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilityExportSummary Methods (==) :: ExplainabilityExportSummary -> ExplainabilityExportSummary -> Bool # (/=) :: ExplainabilityExportSummary -> ExplainabilityExportSummary -> Bool #
Hashable ExplainabilityExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilityExportSummary Methods hashWithSalt :: Int -> ExplainabilityExportSummary -> Int # hash :: ExplainabilityExportSummary -> Int #
type Rep ExplainabilityExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilityExportSummary type Rep ExplainabilityExportSummary = D1 ('MetaData "ExplainabilityExportSummary" "Amazonka.Forecast.Types.ExplainabilityExportSummary" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ExplainabilityExportSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataDestination)) :: S1 ('MetaSel ('Just "explainabilityExportArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "explainabilityExportName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newExplainabilityExportSummary :: ExplainabilityExportSummary Source #

Create a value of ExplainabilityExportSummary 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:creationTime:ExplainabilityExportSummary', explainabilityExportSummary_creationTime - When the Explainability was created.

$sel:destination:ExplainabilityExportSummary', explainabilityExportSummary_destination - Undocumented member.

$sel:explainabilityExportArn:ExplainabilityExportSummary', explainabilityExportSummary_explainabilityExportArn - The Amazon Resource Name (ARN) of the Explainability export.

$sel:explainabilityExportName:ExplainabilityExportSummary', explainabilityExportSummary_explainabilityExportName - The name of the Explainability export

$sel:lastModificationTime:ExplainabilityExportSummary', explainabilityExportSummary_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

$sel:message:ExplainabilityExportSummary', explainabilityExportSummary_message - Information about any errors that may have occurred during the Explainability export.

$sel:status:ExplainabilityExportSummary', explainabilityExportSummary_status - The status of the Explainability export. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

ExplainabilityInfo

data ExplainabilityInfo Source #

Provides information about the Explainability resource.

See: newExplainabilityInfo smart constructor.

Constructors

ExplainabilityInfo' (Maybe Text) (Maybe Text)

Instances

Instances details

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

newExplainabilityInfo :: ExplainabilityInfo Source #

Create a value of ExplainabilityInfo 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:explainabilityArn:ExplainabilityInfo', explainabilityInfo_explainabilityArn - The Amazon Resource Name (ARN) of the Explainability.

$sel:status:ExplainabilityInfo', explainabilityInfo_status - The status of the Explainability. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

ExplainabilitySummary

data ExplainabilitySummary Source #

Provides a summary of the Explainability properties used in the ListExplainabilities operation. To get a complete set of properties, call the DescribeExplainability operation, and provide the listed ExplainabilityArn.

See: newExplainabilitySummary smart constructor.

Constructors

ExplainabilitySummary' (Maybe POSIX) (Maybe Text) (Maybe ExplainabilityConfig) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text)

Instances

Instances details

FromJSON ExplainabilitySummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilitySummary Methods parseJSON :: Value -> Parser ExplainabilitySummary # parseJSONList :: Value -> Parser [ExplainabilitySummary] #
Generic ExplainabilitySummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilitySummary Associated Types type Rep ExplainabilitySummary :: Type -> Type # Methods from :: ExplainabilitySummary -> Rep ExplainabilitySummary x # to :: Rep ExplainabilitySummary x -> ExplainabilitySummary #
Read ExplainabilitySummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilitySummary Methods readsPrec :: Int -> ReadS ExplainabilitySummary # readList :: ReadS [ExplainabilitySummary] # readPrec :: ReadPrec ExplainabilitySummary # readListPrec :: ReadPrec [ExplainabilitySummary] #
Show ExplainabilitySummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilitySummary Methods showsPrec :: Int -> ExplainabilitySummary -> ShowS # show :: ExplainabilitySummary -> String # showList :: [ExplainabilitySummary] -> ShowS #
NFData ExplainabilitySummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilitySummary Methods rnf :: ExplainabilitySummary -> () #
Eq ExplainabilitySummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilitySummary Methods (==) :: ExplainabilitySummary -> ExplainabilitySummary -> Bool # (/=) :: ExplainabilitySummary -> ExplainabilitySummary -> Bool #
Hashable ExplainabilitySummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilitySummary Methods hashWithSalt :: Int -> ExplainabilitySummary -> Int # hash :: ExplainabilitySummary -> Int #
type Rep ExplainabilitySummary Source #
Instance details Defined in Amazonka.Forecast.Types.ExplainabilitySummary type Rep ExplainabilitySummary = D1 ('MetaData "ExplainabilitySummary" "Amazonka.Forecast.Types.ExplainabilitySummary" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ExplainabilitySummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "explainabilityArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "explainabilityConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExplainabilityConfig)) :: S1 ('MetaSel ('Just "explainabilityName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newExplainabilitySummary :: ExplainabilitySummary Source #

Create a value of ExplainabilitySummary 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:creationTime:ExplainabilitySummary', explainabilitySummary_creationTime - When the Explainability was created.

$sel:explainabilityArn:ExplainabilitySummary', explainabilitySummary_explainabilityArn - The Amazon Resource Name (ARN) of the Explainability.

$sel:explainabilityConfig:ExplainabilitySummary', explainabilitySummary_explainabilityConfig - The configuration settings that define the granularity of time series and time points for the Explainability.

$sel:explainabilityName:ExplainabilitySummary', explainabilitySummary_explainabilityName - The name of the Explainability.

$sel:lastModificationTime:ExplainabilitySummary', explainabilitySummary_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

$sel:message:ExplainabilitySummary', explainabilitySummary_message - Information about any errors that may have occurred during the Explainability creation process.

$sel:resourceArn:ExplainabilitySummary', explainabilitySummary_resourceArn - The Amazon Resource Name (ARN) of the Predictor or Forecast used to create the Explainability.

$sel:status:ExplainabilitySummary', explainabilitySummary_status - The status of the Explainability. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

Featurization

data Featurization Source #

This object belongs to the CreatePredictor operation. If you created your predictor with CreateAutoPredictor, see AttributeConfig.

Provides featurization (transformation) information for a dataset field. This object is part of the FeaturizationConfig object.

For example:

"AttributeName": "demand",

FeaturizationPipeline [ {

"FeaturizationMethodName": "filling",

"FeaturizationMethodParameters": {"aggregation": "avg", "backfill": "nan"}

} ]

See: newFeaturization smart constructor.

Constructors

Featurization' (Maybe (NonEmpty FeaturizationMethod)) Text

Instances

Instances details

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

newFeaturization Source #

Arguments

:: Text	`$sel:attributeName:Featurization'`
-> Featurization

Create a value of Featurization 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:featurizationPipeline:Featurization', featurization_featurizationPipeline - An array of one FeaturizationMethod object that specifies the feature transformation method.

$sel:attributeName:Featurization', featurization_attributeName - The name of the schema attribute that specifies the data field to be featurized. Amazon Forecast supports the target field of the TARGET_TIME_SERIES and the RELATED_TIME_SERIES datasets. For example, for the RETAIL domain, the target is demand, and for the CUSTOM domain, the target is target_value. For more information, see howitworks-missing-values.

FeaturizationConfig

data FeaturizationConfig Source #

This object belongs to the CreatePredictor operation. If you created your predictor with CreateAutoPredictor, see AttributeConfig.

In a CreatePredictor operation, the specified algorithm trains a model using the specified dataset group. You can optionally tell the operation to modify data fields prior to training a model. These modifications are referred to as featurization.

You define featurization using the FeaturizationConfig object. You specify an array of transformations, one for each field that you want to featurize. You then include the FeaturizationConfig object in your CreatePredictor request. Amazon Forecast applies the featurization to the TARGET_TIME_SERIES and RELATED_TIME_SERIES datasets before model training.

You can create multiple featurization configurations. For example, you might call the CreatePredictor operation twice by specifying different featurization configurations.

See: newFeaturizationConfig smart constructor.

Constructors

FeaturizationConfig' (Maybe (NonEmpty Featurization)) (Maybe (NonEmpty Text)) Text

Instances

Instances details

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

newFeaturizationConfig Source #

Arguments

:: Text	`$sel:forecastFrequency:FeaturizationConfig'`
-> FeaturizationConfig

Create a value of FeaturizationConfig 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:featurizations:FeaturizationConfig', featurizationConfig_featurizations - An array of featurization (transformation) information for the fields of a dataset.

$sel:forecastDimensions:FeaturizationConfig', featurizationConfig_forecastDimensions - An array of dimension (field) names that specify how to group the generated forecast.

For example, suppose that you are generating a forecast for item sales across all of your stores, and your dataset contains a store_id field. If you want the sales forecast for each item by store, you would specify store_id as the dimension.

All forecast dimensions specified in the TARGET_TIME_SERIES dataset don't need to be specified in the CreatePredictor request. All forecast dimensions specified in the RELATED_TIME_SERIES dataset must be specified in the CreatePredictor request.

$sel:forecastFrequency:FeaturizationConfig', featurizationConfig_forecastFrequency - The frequency of predictions in a forecast.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "Y" indicates every year and "5min" indicates every five minutes.

The frequency must be greater than or equal to the TARGET_TIME_SERIES dataset frequency.

When a RELATED_TIME_SERIES dataset is provided, the frequency must be equal to the RELATED_TIME_SERIES dataset frequency.

FeaturizationMethod

data FeaturizationMethod Source #

Provides information about the method that featurizes (transforms) a dataset field. The method is part of the FeaturizationPipeline of the Featurization object.

The following is an example of how you specify a FeaturizationMethod object.

"FeaturizationMethodName": "filling",

"FeaturizationMethodParameters": {"aggregation": "sum", "middlefill": "zero", "backfill": "zero"}

See: newFeaturizationMethod smart constructor.

Constructors

FeaturizationMethod' (Maybe (HashMap Text Text)) FeaturizationMethodName

Instances

Instances details

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

newFeaturizationMethod Source #

Arguments

:: FeaturizationMethodName	`$sel:featurizationMethodName:FeaturizationMethod'`
-> FeaturizationMethod

Create a value of FeaturizationMethod 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:featurizationMethodParameters:FeaturizationMethod', featurizationMethod_featurizationMethodParameters - The method parameters (key-value pairs), which are a map of override parameters. Specify these parameters to override the default values. Related Time Series attributes do not accept aggregation parameters.

The following list shows the parameters and their valid values for the "filling" featurization method for a Target Time Series dataset. Bold signifies the default value.

aggregation: sum, avg, first, min, max
frontfill: none
middlefill: zero, nan (not a number), value, median, mean, min, max
backfill: zero, nan, value, median, mean, min, max

The following list shows the parameters and their valid values for a Related Time Series featurization method (there are no defaults):

middlefill: zero, value, median, mean, min, max
backfill: zero, value, median, mean, min, max
futurefill: zero, value, median, mean, min, max

To set a filling method to a specific value, set the fill parameter to value and define the value in a corresponding _value parameter. For example, to set backfilling to a value of 2, include the following: "backfill": "value" and "backfill_value":"2".

$sel:featurizationMethodName:FeaturizationMethod', featurizationMethod_featurizationMethodName - The name of the method. The "filling" method is the only supported method.

Filter

data Filter Source #

Describes a filter for choosing a subset of objects. Each filter consists of a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the objects that match the statement, respectively. The match statement consists of a key and a value.

See: newFilter smart constructor.

Constructors

Filter' Text Text FilterConditionString

Instances

Instances details

ToJSON Filter Source #
Instance details Defined in Amazonka.Forecast.Types.Filter Methods toJSON :: Filter -> Value # toEncoding :: Filter -> Encoding # toJSONList :: [Filter] -> Value # toEncodingList :: [Filter] -> Encoding #
Generic Filter Source #
Instance details Defined in Amazonka.Forecast.Types.Filter Associated Types type Rep Filter :: Type -> Type # Methods from :: Filter -> Rep Filter x # to :: Rep Filter x -> Filter #
Read Filter Source #
Instance details Defined in Amazonka.Forecast.Types.Filter Methods readsPrec :: Int -> ReadS Filter # readList :: ReadS [Filter] # readPrec :: ReadPrec Filter # readListPrec :: ReadPrec [Filter] #
Show Filter Source #
Instance details Defined in Amazonka.Forecast.Types.Filter Methods showsPrec :: Int -> Filter -> ShowS # show :: Filter -> String # showList :: [Filter] -> ShowS #
NFData Filter Source #
Instance details Defined in Amazonka.Forecast.Types.Filter Methods rnf :: Filter -> () #
Eq Filter Source #
Instance details Defined in Amazonka.Forecast.Types.Filter Methods (==) :: Filter -> Filter -> Bool # (/=) :: Filter -> Filter -> Bool #
Hashable Filter Source #
Instance details Defined in Amazonka.Forecast.Types.Filter Methods hashWithSalt :: Int -> Filter -> Int # hash :: Filter -> Int #
type Rep Filter Source #
Instance details Defined in Amazonka.Forecast.Types.Filter type Rep Filter = D1 ('MetaData "Filter" "Amazonka.Forecast.Types.Filter" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "Filter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "condition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 FilterConditionString))))

newFilter Source #

Arguments

:: Text	`$sel:key:Filter'`
-> Text	`$sel:value:Filter'`
-> FilterConditionString	`$sel:condition:Filter'`
-> Filter

Create a value of Filter with all optional fields omitted.

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

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

$sel:key:Filter', filter_key - The name of the parameter to filter on.

$sel:value:Filter', filter_value - The value to match.

$sel:condition:Filter', filter_condition - The condition to apply. To include the objects that match the statement, specify IS. To exclude matching objects, specify IS_NOT.

ForecastExportJobSummary

data ForecastExportJobSummary Source #

Provides a summary of the forecast export job properties used in the ListForecastExportJobs operation. To get the complete set of properties, call the DescribeForecastExportJob operation, and provide the listed ForecastExportJobArn.

See: newForecastExportJobSummary smart constructor.

Constructors

ForecastExportJobSummary' (Maybe POSIX) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)

Instances

Instances details

FromJSON ForecastExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastExportJobSummary Methods parseJSON :: Value -> Parser ForecastExportJobSummary # parseJSONList :: Value -> Parser [ForecastExportJobSummary] #
Generic ForecastExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastExportJobSummary Associated Types type Rep ForecastExportJobSummary :: Type -> Type # Methods from :: ForecastExportJobSummary -> Rep ForecastExportJobSummary x # to :: Rep ForecastExportJobSummary x -> ForecastExportJobSummary #
Read ForecastExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastExportJobSummary Methods readsPrec :: Int -> ReadS ForecastExportJobSummary # readList :: ReadS [ForecastExportJobSummary] # readPrec :: ReadPrec ForecastExportJobSummary # readListPrec :: ReadPrec [ForecastExportJobSummary] #
Show ForecastExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastExportJobSummary Methods showsPrec :: Int -> ForecastExportJobSummary -> ShowS # show :: ForecastExportJobSummary -> String # showList :: [ForecastExportJobSummary] -> ShowS #
NFData ForecastExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastExportJobSummary Methods rnf :: ForecastExportJobSummary -> () #
Eq ForecastExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastExportJobSummary Methods (==) :: ForecastExportJobSummary -> ForecastExportJobSummary -> Bool # (/=) :: ForecastExportJobSummary -> ForecastExportJobSummary -> Bool #
Hashable ForecastExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastExportJobSummary Methods hashWithSalt :: Int -> ForecastExportJobSummary -> Int # hash :: ForecastExportJobSummary -> Int #
type Rep ForecastExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastExportJobSummary type Rep ForecastExportJobSummary = D1 ('MetaData "ForecastExportJobSummary" "Amazonka.Forecast.Types.ForecastExportJobSummary" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ForecastExportJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataDestination)) :: S1 ('MetaSel ('Just "forecastExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "forecastExportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newForecastExportJobSummary :: ForecastExportJobSummary Source #

Create a value of ForecastExportJobSummary 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:creationTime:ForecastExportJobSummary', forecastExportJobSummary_creationTime - When the forecast export job was created.

$sel:destination:ForecastExportJobSummary', forecastExportJobSummary_destination - The path to the Amazon Simple Storage Service (Amazon S3) bucket where the forecast is exported.

$sel:forecastExportJobArn:ForecastExportJobSummary', forecastExportJobSummary_forecastExportJobArn - The Amazon Resource Name (ARN) of the forecast export job.

$sel:forecastExportJobName:ForecastExportJobSummary', forecastExportJobSummary_forecastExportJobName - The name of the forecast export job.

$sel:lastModificationTime:ForecastExportJobSummary', forecastExportJobSummary_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

$sel:message:ForecastExportJobSummary', forecastExportJobSummary_message - If an error occurred, an informational message about the error.

$sel:status:ForecastExportJobSummary', forecastExportJobSummary_status - The status of the forecast export job. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

The Status of the forecast export job must be ACTIVE before you can access the forecast in your S3 bucket.

ForecastSummary

data ForecastSummary Source #

Provides a summary of the forecast properties used in the ListForecasts operation. To get the complete set of properties, call the DescribeForecast operation, and provide the ForecastArn that is listed in the summary.

See: newForecastSummary smart constructor.

Constructors

ForecastSummary' (Maybe Bool) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text)

Instances

Instances details

FromJSON ForecastSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastSummary Methods parseJSON :: Value -> Parser ForecastSummary # parseJSONList :: Value -> Parser [ForecastSummary] #
Generic ForecastSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastSummary Associated Types type Rep ForecastSummary :: Type -> Type # Methods from :: ForecastSummary -> Rep ForecastSummary x # to :: Rep ForecastSummary x -> ForecastSummary #
Read ForecastSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastSummary Methods readsPrec :: Int -> ReadS ForecastSummary # readList :: ReadS [ForecastSummary] # readPrec :: ReadPrec ForecastSummary # readListPrec :: ReadPrec [ForecastSummary] #
Show ForecastSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastSummary Methods showsPrec :: Int -> ForecastSummary -> ShowS # show :: ForecastSummary -> String # showList :: [ForecastSummary] -> ShowS #
NFData ForecastSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastSummary Methods rnf :: ForecastSummary -> () #
Eq ForecastSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastSummary Methods (==) :: ForecastSummary -> ForecastSummary -> Bool # (/=) :: ForecastSummary -> ForecastSummary -> Bool #
Hashable ForecastSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastSummary Methods hashWithSalt :: Int -> ForecastSummary -> Int # hash :: ForecastSummary -> Int #
type Rep ForecastSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastSummary type Rep ForecastSummary = D1 ('MetaData "ForecastSummary" "Amazonka.Forecast.Types.ForecastSummary" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "ForecastSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "createdUsingAutoPredictor") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "forecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "forecastName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newForecastSummary :: ForecastSummary Source #

Create a value of ForecastSummary 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:createdUsingAutoPredictor:ForecastSummary', forecastSummary_createdUsingAutoPredictor - Whether the Forecast was created from an AutoPredictor.

$sel:creationTime:ForecastSummary', forecastSummary_creationTime - When the forecast creation task was created.

$sel:datasetGroupArn:ForecastSummary', forecastSummary_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group that provided the data used to train the predictor.

$sel:forecastArn:ForecastSummary', forecastSummary_forecastArn - The ARN of the forecast.

$sel:forecastName:ForecastSummary', forecastSummary_forecastName - The name of the forecast.

$sel:lastModificationTime:ForecastSummary', forecastSummary_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

$sel:message:ForecastSummary', forecastSummary_message - If an error occurred, an informational message about the error.

$sel:predictorArn:ForecastSummary', forecastSummary_predictorArn - The ARN of the predictor used to generate the forecast.

$sel:status:ForecastSummary', forecastSummary_status - The status of the forecast. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

The Status of the forecast must be ACTIVE before you can query or export the forecast.

HyperParameterTuningJobConfig

data HyperParameterTuningJobConfig Source #

Configuration information for a hyperparameter tuning job. You specify this object in the CreatePredictor request.

A hyperparameter is a parameter that governs the model training process. You set hyperparameters before training starts, unlike model parameters, which are determined during training. The values of the hyperparameters effect which values are chosen for the model parameters.

In a hyperparameter tuning job, Amazon Forecast chooses the set of hyperparameter values that optimize a specified metric. Forecast accomplishes this by running many training jobs over a range of hyperparameter values. The optimum set of values depends on the algorithm, the training data, and the specified metric objective.

See: newHyperParameterTuningJobConfig smart constructor.

Constructors

HyperParameterTuningJobConfig' (Maybe ParameterRanges)

Instances

Instances details

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

newHyperParameterTuningJobConfig :: HyperParameterTuningJobConfig Source #

Create a value of HyperParameterTuningJobConfig 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:parameterRanges:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_parameterRanges - Specifies the ranges of valid values for the hyperparameters.

InputDataConfig

data InputDataConfig Source #

This object belongs to the CreatePredictor operation. If you created your predictor with CreateAutoPredictor, see DataConfig.

The data used to train a predictor. The data includes a dataset group and any supplementary features. You specify this object in the CreatePredictor request.

See: newInputDataConfig smart constructor.

Constructors

InputDataConfig' (Maybe (NonEmpty SupplementaryFeature)) Text

Instances

Instances details

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

newInputDataConfig Source #

Arguments

:: Text	`$sel:datasetGroupArn:InputDataConfig'`
-> InputDataConfig

Create a value of InputDataConfig 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:supplementaryFeatures:InputDataConfig', inputDataConfig_supplementaryFeatures - An array of supplementary features. The only supported feature is a holiday calendar.

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

IntegerParameterRange

data IntegerParameterRange Source #

Specifies an integer hyperparameter and it's range of tunable values. This object is part of the ParameterRanges object.

See: newIntegerParameterRange smart constructor.

Constructors

IntegerParameterRange' (Maybe ScalingType) Text Int Int

Instances

Instances details

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

newIntegerParameterRange Source #

Arguments

:: Text	`$sel:name:IntegerParameterRange'`
-> Int	`$sel:maxValue:IntegerParameterRange'`
-> Int	`$sel:minValue:IntegerParameterRange'`
-> IntegerParameterRange

Create a value of IntegerParameterRange 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:scalingType:IntegerParameterRange', integerParameterRange_scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:

Auto: Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
Linear: Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic: Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have values greater than 0.
ReverseLogarithmic: Not supported for IntegerParameterRange.
Reverse logarithmic scaling works only for ranges that are entirely within the range 0 <= x < 1.0.

For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

$sel:name:IntegerParameterRange', integerParameterRange_name - The name of the hyperparameter to tune.

$sel:maxValue:IntegerParameterRange', integerParameterRange_maxValue - The maximum tunable value of the hyperparameter.

$sel:minValue:IntegerParameterRange', integerParameterRange_minValue - The minimum tunable value of the hyperparameter.

MetricResult

data MetricResult Source #

An individual metric Forecast calculated when monitoring predictor usage. You can compare the value for this metric to the metric's value in the Baseline to see how your predictor's performance is changing.

For more information about metrics generated by Forecast see Evaluating Predictor Accuracy

See: newMetricResult smart constructor.

Constructors

MetricResult' (Maybe Text) (Maybe Double)

Instances

Instances details

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

newMetricResult :: MetricResult Source #

Create a value of MetricResult with all optional fields omitted.

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

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

$sel:metricName:MetricResult', metricResult_metricName - The name of the metric.

$sel:metricValue:MetricResult', metricResult_metricValue - The value for the metric.

Metrics

data Metrics Source #

Provides metrics that are used to evaluate the performance of a predictor. This object is part of the WindowSummary object.

See: newMetrics smart constructor.

Constructors

Metrics' (Maybe Double) (Maybe [ErrorMetric]) (Maybe Double) (Maybe [WeightedQuantileLoss])

Instances

Instances details

FromJSON Metrics Source #
Instance details Defined in Amazonka.Forecast.Types.Metrics Methods parseJSON :: Value -> Parser Metrics # parseJSONList :: Value -> Parser [Metrics] #
Generic Metrics Source #
Instance details Defined in Amazonka.Forecast.Types.Metrics Associated Types type Rep Metrics :: Type -> Type # Methods from :: Metrics -> Rep Metrics x # to :: Rep Metrics x -> Metrics #
Read Metrics Source #
Instance details Defined in Amazonka.Forecast.Types.Metrics Methods readsPrec :: Int -> ReadS Metrics # readList :: ReadS [Metrics] # readPrec :: ReadPrec Metrics # readListPrec :: ReadPrec [Metrics] #
Show Metrics Source #
Instance details Defined in Amazonka.Forecast.Types.Metrics Methods showsPrec :: Int -> Metrics -> ShowS # show :: Metrics -> String # showList :: [Metrics] -> ShowS #
NFData Metrics Source #
Instance details Defined in Amazonka.Forecast.Types.Metrics Methods rnf :: Metrics -> () #
Eq Metrics Source #
Instance details Defined in Amazonka.Forecast.Types.Metrics Methods (==) :: Metrics -> Metrics -> Bool # (/=) :: Metrics -> Metrics -> Bool #
Hashable Metrics Source #
Instance details Defined in Amazonka.Forecast.Types.Metrics Methods hashWithSalt :: Int -> Metrics -> Int # hash :: Metrics -> Int #
type Rep Metrics Source #
Instance details Defined in Amazonka.Forecast.Types.Metrics type Rep Metrics = D1 ('MetaData "Metrics" "Amazonka.Forecast.Types.Metrics" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "Metrics'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "averageWeightedQuantileLoss") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "errorMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ErrorMetric]))) :: (S1 ('MetaSel ('Just "rmse") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "weightedQuantileLosses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [WeightedQuantileLoss])))))

newMetrics :: Metrics Source #

Create a value of Metrics 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:averageWeightedQuantileLoss:Metrics', metrics_averageWeightedQuantileLoss - The average value of all weighted quantile losses.

$sel:errorMetrics:Metrics', metrics_errorMetrics - Provides detailed error metrics for each forecast type. Metrics include root-mean square-error (RMSE), mean absolute percentage error (MAPE), mean absolute scaled error (MASE), and weighted average percentage error (WAPE).

Metrics, metrics_rmse - The root-mean-square error (RMSE).

$sel:weightedQuantileLosses:Metrics', metrics_weightedQuantileLosses - An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.

MonitorConfig

data MonitorConfig Source #

The configuration details for the predictor monitor.

See: newMonitorConfig smart constructor.

Constructors

MonitorConfig' Text

Instances

Instances details

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

newMonitorConfig Source #

Arguments

:: Text	`$sel:monitorName:MonitorConfig'`
-> MonitorConfig

Create a value of MonitorConfig 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:monitorName:MonitorConfig', monitorConfig_monitorName - The name of the monitor resource.

MonitorDataSource

data MonitorDataSource Source #

The source of the data the monitor used during the evaluation.

See: newMonitorDataSource smart constructor.

Constructors

MonitorDataSource' (Maybe Text) (Maybe Text) (Maybe Text)

Instances

Instances details

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

newMonitorDataSource :: MonitorDataSource Source #

Create a value of MonitorDataSource 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:datasetImportJobArn:MonitorDataSource', monitorDataSource_datasetImportJobArn - The Amazon Resource Name (ARN) of the dataset import job used to import the data that initiated the monitor evaluation.

$sel:forecastArn:MonitorDataSource', monitorDataSource_forecastArn - The Amazon Resource Name (ARN) of the forecast the monitor used during the evaluation.

$sel:predictorArn:MonitorDataSource', monitorDataSource_predictorArn - The Amazon Resource Name (ARN) of the predictor resource you are monitoring.

MonitorInfo

data MonitorInfo Source #

Provides information about the monitor resource.

See: newMonitorInfo smart constructor.

Constructors

MonitorInfo' (Maybe Text) (Maybe Text)

Instances

Instances details

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

newMonitorInfo :: MonitorInfo Source #

Create a value of MonitorInfo 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:monitorArn:MonitorInfo', monitorInfo_monitorArn - The Amazon Resource Name (ARN) of the monitor resource.

$sel:status:MonitorInfo', monitorInfo_status - The status of the monitor. States include:

```
ACTIVE
```
ACTIVE_STOPPING, ACTIVE_STOPPED
```
UPDATE_IN_PROGRESS
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

MonitorSummary

data MonitorSummary Source #

Provides a summary of the monitor properties used in the ListMonitors operation. To get a complete set of properties, call the DescribeMonitor operation, and provide the listed MonitorArn.

See: newMonitorSummary smart constructor.

Constructors

MonitorSummary' (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)

Instances

Instances details

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

newMonitorSummary :: MonitorSummary Source #

Create a value of MonitorSummary 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:creationTime:MonitorSummary', monitorSummary_creationTime - When the monitor resource was created.

$sel:lastModificationTime:MonitorSummary', monitorSummary_lastModificationTime - The last time the monitor resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
STOPPED - When the resource stopped.
ACTIVE or CREATE_FAILED - When the monitor creation finished or failed.

$sel:monitorArn:MonitorSummary', monitorSummary_monitorArn - The Amazon Resource Name (ARN) of the monitor resource.

$sel:monitorName:MonitorSummary', monitorSummary_monitorName - The name of the monitor resource.

$sel:resourceArn:MonitorSummary', monitorSummary_resourceArn - The Amazon Resource Name (ARN) of the predictor being monitored.

$sel:status:MonitorSummary', monitorSummary_status - The status of the monitor. States include:

```
ACTIVE
```
ACTIVE_STOPPING, ACTIVE_STOPPED
```
UPDATE_IN_PROGRESS
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

ParameterRanges

data ParameterRanges Source #

Specifies the categorical, continuous, and integer hyperparameters, and their ranges of tunable values. The range of tunable values determines which values that a hyperparameter tuning job can choose for the specified hyperparameter. This object is part of the HyperParameterTuningJobConfig object.

See: newParameterRanges smart constructor.

Constructors

ParameterRanges' (Maybe (NonEmpty CategoricalParameterRange)) (Maybe (NonEmpty ContinuousParameterRange)) (Maybe (NonEmpty IntegerParameterRange))

Instances

Instances details

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

newParameterRanges :: ParameterRanges Source #

Create a value of ParameterRanges 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:categoricalParameterRanges:ParameterRanges', parameterRanges_categoricalParameterRanges - Specifies the tunable range for each categorical hyperparameter.

$sel:continuousParameterRanges:ParameterRanges', parameterRanges_continuousParameterRanges - Specifies the tunable range for each continuous hyperparameter.

$sel:integerParameterRanges:ParameterRanges', parameterRanges_integerParameterRanges - Specifies the tunable range for each integer hyperparameter.

PredictorBacktestExportJobSummary

data PredictorBacktestExportJobSummary Source #

Provides a summary of the predictor backtest export job properties used in the ListPredictorBacktestExportJobs operation. To get a complete set of properties, call the DescribePredictorBacktestExportJob operation, and provide the listed PredictorBacktestExportJobArn.

See: newPredictorBacktestExportJobSummary smart constructor.

Constructors

PredictorBacktestExportJobSummary' (Maybe POSIX) (Maybe DataDestination) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)

Instances

Instances details

FromJSON PredictorBacktestExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorBacktestExportJobSummary Methods parseJSON :: Value -> Parser PredictorBacktestExportJobSummary # parseJSONList :: Value -> Parser [PredictorBacktestExportJobSummary] #
Generic PredictorBacktestExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorBacktestExportJobSummary Associated Types type Rep PredictorBacktestExportJobSummary :: Type -> Type # Methods from :: PredictorBacktestExportJobSummary -> Rep PredictorBacktestExportJobSummary x # to :: Rep PredictorBacktestExportJobSummary x -> PredictorBacktestExportJobSummary #
Read PredictorBacktestExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorBacktestExportJobSummary Methods readsPrec :: Int -> ReadS PredictorBacktestExportJobSummary # readList :: ReadS [PredictorBacktestExportJobSummary] # readPrec :: ReadPrec PredictorBacktestExportJobSummary # readListPrec :: ReadPrec [PredictorBacktestExportJobSummary] #
Show PredictorBacktestExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorBacktestExportJobSummary Methods showsPrec :: Int -> PredictorBacktestExportJobSummary -> ShowS # show :: PredictorBacktestExportJobSummary -> String # showList :: [PredictorBacktestExportJobSummary] -> ShowS #
NFData PredictorBacktestExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorBacktestExportJobSummary Methods rnf :: PredictorBacktestExportJobSummary -> () #
Eq PredictorBacktestExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorBacktestExportJobSummary Methods (==) :: PredictorBacktestExportJobSummary -> PredictorBacktestExportJobSummary -> Bool # (/=) :: PredictorBacktestExportJobSummary -> PredictorBacktestExportJobSummary -> Bool #
Hashable PredictorBacktestExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorBacktestExportJobSummary Methods hashWithSalt :: Int -> PredictorBacktestExportJobSummary -> Int # hash :: PredictorBacktestExportJobSummary -> Int #
type Rep PredictorBacktestExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorBacktestExportJobSummary type Rep PredictorBacktestExportJobSummary = D1 ('MetaData "PredictorBacktestExportJobSummary" "Amazonka.Forecast.Types.PredictorBacktestExportJobSummary" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "PredictorBacktestExportJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataDestination)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: ((S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "predictorBacktestExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "predictorBacktestExportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newPredictorBacktestExportJobSummary :: PredictorBacktestExportJobSummary Source #

Create a value of PredictorBacktestExportJobSummary 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:creationTime:PredictorBacktestExportJobSummary', predictorBacktestExportJobSummary_creationTime - When the predictor backtest export job was created.

$sel:destination:PredictorBacktestExportJobSummary', predictorBacktestExportJobSummary_destination - Undocumented member.

$sel:lastModificationTime:PredictorBacktestExportJobSummary', predictorBacktestExportJobSummary_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

$sel:message:PredictorBacktestExportJobSummary', predictorBacktestExportJobSummary_message - Information about any errors that may have occurred during the backtest export.

$sel:predictorBacktestExportJobArn:PredictorBacktestExportJobSummary', predictorBacktestExportJobSummary_predictorBacktestExportJobArn - The Amazon Resource Name (ARN) of the predictor backtest export job.

$sel:predictorBacktestExportJobName:PredictorBacktestExportJobSummary', predictorBacktestExportJobSummary_predictorBacktestExportJobName - The name of the predictor backtest export job.

$sel:status:PredictorBacktestExportJobSummary', predictorBacktestExportJobSummary_status - The status of the predictor backtest export job. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

PredictorBaseline

data PredictorBaseline Source #

Metrics you can use as a baseline for comparison purposes. Use these metrics when you interpret monitoring results for an auto predictor.

See: newPredictorBaseline smart constructor.

Constructors

PredictorBaseline' (Maybe [BaselineMetric])

Instances

Instances details

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

newPredictorBaseline :: PredictorBaseline Source #

Create a value of PredictorBaseline 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:baselineMetrics:PredictorBaseline', predictorBaseline_baselineMetrics - The initial accuracy metrics for the predictor. Use these metrics as a baseline for comparison purposes as you use your predictor and the metrics change.

PredictorEvent

data PredictorEvent Source #

Provides details about a predictor event, such as a retraining.

See: newPredictorEvent smart constructor.

Constructors

PredictorEvent' (Maybe POSIX) (Maybe Text)

Instances

Instances details

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

newPredictorEvent :: PredictorEvent Source #

Create a value of PredictorEvent 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:datetime:PredictorEvent', predictorEvent_datetime - The timestamp for when the event occurred.

$sel:detail:PredictorEvent', predictorEvent_detail - The type of event. For example, Retrain. A retraining event denotes the timepoint when a predictor was retrained. Any monitor results from before the Datetime are from the previous predictor. Any new metrics are for the newly retrained predictor.

PredictorExecution

data PredictorExecution Source #

The algorithm used to perform a backtest and the status of those tests.

See: newPredictorExecution smart constructor.

Constructors

PredictorExecution' (Maybe Text) (Maybe [TestWindowSummary])

Instances

Instances details

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

newPredictorExecution :: PredictorExecution Source #

Create a value of PredictorExecution with all optional fields omitted.

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

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

$sel:algorithmArn:PredictorExecution', predictorExecution_algorithmArn - The ARN of the algorithm used to test the predictor.

$sel:testWindows:PredictorExecution', predictorExecution_testWindows - An array of test windows used to evaluate the algorithm. The NumberOfBacktestWindows from the object determines the number of windows in the array.

PredictorExecutionDetails

data PredictorExecutionDetails Source #

Contains details on the backtests performed to evaluate the accuracy of the predictor. The tests are returned in descending order of accuracy, with the most accurate backtest appearing first. You specify the number of backtests to perform when you call the operation.

See: newPredictorExecutionDetails smart constructor.

Constructors

PredictorExecutionDetails' (Maybe (NonEmpty PredictorExecution))

Instances

Instances details

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

newPredictorExecutionDetails :: PredictorExecutionDetails Source #

Create a value of PredictorExecutionDetails 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:predictorExecutions:PredictorExecutionDetails', predictorExecutionDetails_predictorExecutions - An array of the backtests performed to evaluate the accuracy of the predictor against a particular algorithm. The NumberOfBacktestWindows from the object determines the number of windows in the array.

PredictorMonitorEvaluation

data PredictorMonitorEvaluation Source #

Describes the results of a monitor evaluation.

See: newPredictorMonitorEvaluation smart constructor.

Constructors

PredictorMonitorEvaluation' (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe [MetricResult]) (Maybe Text) (Maybe MonitorDataSource) (Maybe Integer) (Maybe PredictorEvent) (Maybe Text) (Maybe POSIX) (Maybe POSIX)

Instances

Instances details

FromJSON PredictorMonitorEvaluation Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorMonitorEvaluation Methods parseJSON :: Value -> Parser PredictorMonitorEvaluation # parseJSONList :: Value -> Parser [PredictorMonitorEvaluation] #
Generic PredictorMonitorEvaluation Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorMonitorEvaluation Associated Types type Rep PredictorMonitorEvaluation :: Type -> Type # Methods from :: PredictorMonitorEvaluation -> Rep PredictorMonitorEvaluation x # to :: Rep PredictorMonitorEvaluation x -> PredictorMonitorEvaluation #
Read PredictorMonitorEvaluation Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorMonitorEvaluation Methods readsPrec :: Int -> ReadS PredictorMonitorEvaluation # readList :: ReadS [PredictorMonitorEvaluation] # readPrec :: ReadPrec PredictorMonitorEvaluation # readListPrec :: ReadPrec [PredictorMonitorEvaluation] #
Show PredictorMonitorEvaluation Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorMonitorEvaluation Methods showsPrec :: Int -> PredictorMonitorEvaluation -> ShowS # show :: PredictorMonitorEvaluation -> String # showList :: [PredictorMonitorEvaluation] -> ShowS #
NFData PredictorMonitorEvaluation Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorMonitorEvaluation Methods rnf :: PredictorMonitorEvaluation -> () #
Eq PredictorMonitorEvaluation Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorMonitorEvaluation Methods (==) :: PredictorMonitorEvaluation -> PredictorMonitorEvaluation -> Bool # (/=) :: PredictorMonitorEvaluation -> PredictorMonitorEvaluation -> Bool #
Hashable PredictorMonitorEvaluation Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorMonitorEvaluation Methods hashWithSalt :: Int -> PredictorMonitorEvaluation -> Int # hash :: PredictorMonitorEvaluation -> Int #
type Rep PredictorMonitorEvaluation Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorMonitorEvaluation type Rep PredictorMonitorEvaluation = D1 ('MetaData "PredictorMonitorEvaluation" "Amazonka.Forecast.Types.PredictorMonitorEvaluation" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "PredictorMonitorEvaluation'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "evaluationState") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "evaluationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "metricResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MetricResult])) :: S1 ('MetaSel ('Just "monitorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "monitorDataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitorDataSource)) :: (S1 ('MetaSel ('Just "numItemsEvaluated") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: S1 ('MetaSel ('Just "predictorEvent") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PredictorEvent)))) :: (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "windowEndDatetime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "windowStartDatetime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))))))

newPredictorMonitorEvaluation :: PredictorMonitorEvaluation Source #

Create a value of PredictorMonitorEvaluation 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:evaluationState:PredictorMonitorEvaluation', predictorMonitorEvaluation_evaluationState - The status of the monitor evaluation. The state can be SUCCESS or FAILURE.

$sel:evaluationTime:PredictorMonitorEvaluation', predictorMonitorEvaluation_evaluationTime - The timestamp that indicates when the monitor evaluation was started.

$sel:message:PredictorMonitorEvaluation', predictorMonitorEvaluation_message - Information about any errors that may have occurred during the monitor evaluation.

$sel:metricResults:PredictorMonitorEvaluation', predictorMonitorEvaluation_metricResults - A list of metrics Forecast calculated when monitoring a predictor. You can compare the value for each metric in the list to the metric's value in the Baseline to see how your predictor's performance is changing.

$sel:monitorArn:PredictorMonitorEvaluation', predictorMonitorEvaluation_monitorArn - The Amazon Resource Name (ARN) of the monitor resource.

$sel:monitorDataSource:PredictorMonitorEvaluation', predictorMonitorEvaluation_monitorDataSource - The source of the data the monitor resource used during the evaluation.

$sel:numItemsEvaluated:PredictorMonitorEvaluation', predictorMonitorEvaluation_numItemsEvaluated - The number of items considered during the evaluation.

$sel:predictorEvent:PredictorMonitorEvaluation', predictorMonitorEvaluation_predictorEvent - Provides details about a predictor event, such as a retraining.

$sel:resourceArn:PredictorMonitorEvaluation', predictorMonitorEvaluation_resourceArn - The Amazon Resource Name (ARN) of the resource to monitor.

$sel:windowEndDatetime:PredictorMonitorEvaluation', predictorMonitorEvaluation_windowEndDatetime - The timestamp that indicates the end of the window that is used for monitor evaluation.

$sel:windowStartDatetime:PredictorMonitorEvaluation', predictorMonitorEvaluation_windowStartDatetime - The timestamp that indicates the start of the window that is used for monitor evaluation.

PredictorSummary

data PredictorSummary Source #

Provides a summary of the predictor properties that are used in the ListPredictors operation. To get the complete set of properties, call the DescribePredictor operation, and provide the listed PredictorArn.

See: newPredictorSummary smart constructor.

Constructors

PredictorSummary' (Maybe POSIX) (Maybe Text) (Maybe Bool) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe ReferencePredictorSummary) (Maybe Text)

Instances

Instances details

FromJSON PredictorSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorSummary Methods parseJSON :: Value -> Parser PredictorSummary # parseJSONList :: Value -> Parser [PredictorSummary] #
Generic PredictorSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorSummary Associated Types type Rep PredictorSummary :: Type -> Type # Methods from :: PredictorSummary -> Rep PredictorSummary x # to :: Rep PredictorSummary x -> PredictorSummary #
Read PredictorSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorSummary Methods readsPrec :: Int -> ReadS PredictorSummary # readList :: ReadS [PredictorSummary] # readPrec :: ReadPrec PredictorSummary # readListPrec :: ReadPrec [PredictorSummary] #
Show PredictorSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorSummary Methods showsPrec :: Int -> PredictorSummary -> ShowS # show :: PredictorSummary -> String # showList :: [PredictorSummary] -> ShowS #
NFData PredictorSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorSummary Methods rnf :: PredictorSummary -> () #
Eq PredictorSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorSummary Methods (==) :: PredictorSummary -> PredictorSummary -> Bool # (/=) :: PredictorSummary -> PredictorSummary -> Bool #
Hashable PredictorSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorSummary Methods hashWithSalt :: Int -> PredictorSummary -> Int # hash :: PredictorSummary -> Int #
type Rep PredictorSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorSummary type Rep PredictorSummary = D1 ('MetaData "PredictorSummary" "Amazonka.Forecast.Types.PredictorSummary" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "PredictorSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "isAutoPredictor") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: ((S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "predictorName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "referencePredictorSummary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ReferencePredictorSummary)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newPredictorSummary :: PredictorSummary Source #

Create a value of PredictorSummary 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:creationTime:PredictorSummary', predictorSummary_creationTime - When the model training task was created.

$sel:datasetGroupArn:PredictorSummary', predictorSummary_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group that contains the data used to train the predictor.

$sel:isAutoPredictor:PredictorSummary', predictorSummary_isAutoPredictor - Whether AutoPredictor was used to create the predictor.

$sel:lastModificationTime:PredictorSummary', predictorSummary_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

$sel:message:PredictorSummary', predictorSummary_message - If an error occurred, an informational message about the error.

$sel:predictorArn:PredictorSummary', predictorSummary_predictorArn - The ARN of the predictor.

$sel:predictorName:PredictorSummary', predictorSummary_predictorName - The name of the predictor.

$sel:referencePredictorSummary:PredictorSummary', predictorSummary_referencePredictorSummary - A summary of the reference predictor used if the predictor was retrained or upgraded.

$sel:status:PredictorSummary', predictorSummary_status - The status of the predictor. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
CREATE_STOPPING, CREATE_STOPPED

The Status of the predictor must be ACTIVE before you can use the predictor to create a forecast.

ReferencePredictorSummary

data ReferencePredictorSummary Source #

Provides a summary of the reference predictor used when retraining or upgrading a predictor.

See: newReferencePredictorSummary smart constructor.

Constructors

ReferencePredictorSummary' (Maybe Text) (Maybe State)

Instances

Instances details

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

newReferencePredictorSummary :: ReferencePredictorSummary Source #

Create a value of ReferencePredictorSummary 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:arn:ReferencePredictorSummary', referencePredictorSummary_arn - The ARN of the reference predictor.

$sel:state:ReferencePredictorSummary', referencePredictorSummary_state - Whether the reference predictor is Active or Deleted.

S3Config

data S3Config Source #

The path to the file(s) in an Amazon Simple Storage Service (Amazon S3) bucket, and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the file(s). Optionally, includes an AWS Key Management Service (KMS) key. This object is part of the DataSource object that is submitted in the CreateDatasetImportJob request, and part of the DataDestination object.

See: newS3Config smart constructor.

Constructors

S3Config' (Maybe Text) Text Text

Instances

Instances details

FromJSON S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config Methods parseJSON :: Value -> Parser S3Config # parseJSONList :: Value -> Parser [S3Config] #
ToJSON S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config Methods toJSON :: S3Config -> Value # toEncoding :: S3Config -> Encoding # toJSONList :: [S3Config] -> Value # toEncodingList :: [S3Config] -> Encoding #
Generic S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config Associated Types type Rep S3Config :: Type -> Type # Methods from :: S3Config -> Rep S3Config x # to :: Rep S3Config x -> S3Config #
Read S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config Methods readsPrec :: Int -> ReadS S3Config # readList :: ReadS [S3Config] # readPrec :: ReadPrec S3Config # readListPrec :: ReadPrec [S3Config] #
Show S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config Methods showsPrec :: Int -> S3Config -> ShowS # show :: S3Config -> String # showList :: [S3Config] -> ShowS #
NFData S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config Methods rnf :: S3Config -> () #
Eq S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config Methods (==) :: S3Config -> S3Config -> Bool # (/=) :: S3Config -> S3Config -> Bool #
Hashable S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config Methods hashWithSalt :: Int -> S3Config -> Int # hash :: S3Config -> Int #
type Rep S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config type Rep S3Config = D1 ('MetaData "S3Config" "Amazonka.Forecast.Types.S3Config" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "S3Config'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "path") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newS3Config Source #

Arguments

:: Text	`$sel:path:S3Config'`
-> Text	`$sel:roleArn:S3Config'`
-> S3Config

Create a value of S3Config with all optional fields omitted.

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

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

$sel:kmsKeyArn:S3Config', s3Config_kmsKeyArn - The Amazon Resource Name (ARN) of an AWS Key Management Service (KMS) key.

$sel:path:S3Config', s3Config_path - The path to an Amazon Simple Storage Service (Amazon S3) bucket or file(s) in an Amazon S3 bucket.

$sel:roleArn:S3Config', s3Config_roleArn - The ARN of the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket or files. If you provide a value for the KMSKeyArn key, the role must allow access to the key.

Passing a role across AWS accounts is not allowed. If you pass a role that isn't in your account, you get an InvalidInputException error.

Schema

data Schema Source #

Defines the fields of a dataset.

See: newSchema smart constructor.

Constructors

Schema' (Maybe (NonEmpty SchemaAttribute))

Instances

Instances details

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

newSchema :: Schema Source #

Create a value of Schema 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:attributes:Schema', schema_attributes - An array of attributes specifying the name and type of each field in a dataset.

SchemaAttribute

data SchemaAttribute Source #

An attribute of a schema, which defines a dataset field. A schema attribute is required for every field in a dataset. The Schema object contains an array of SchemaAttribute objects.

See: newSchemaAttribute smart constructor.

Constructors

SchemaAttribute' (Maybe Text) (Maybe AttributeType)

Instances

Instances details

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

newSchemaAttribute :: SchemaAttribute Source #

Create a value of SchemaAttribute 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:attributeName:SchemaAttribute', schemaAttribute_attributeName - The name of the dataset field.

$sel:attributeType:SchemaAttribute', schemaAttribute_attributeType - The data type of the field.

For a related time series dataset, other than date, item_id, and forecast dimensions attributes, all attributes should be of numerical type (integer/float).

Statistics

data Statistics Source #

Provides statistics for each data field imported into to an Amazon Forecast dataset with the CreateDatasetImportJob operation.

See: newStatistics smart constructor.

Constructors

Statistics' (Maybe Double) (Maybe Int) (Maybe Int) (Maybe Integer) (Maybe Integer) (Maybe Int) (Maybe Integer) (Maybe Int) (Maybe Integer) (Maybe Text) (Maybe Text) (Maybe Double)

Instances

Instances details

FromJSON Statistics Source #
Instance details Defined in Amazonka.Forecast.Types.Statistics Methods parseJSON :: Value -> Parser Statistics # parseJSONList :: Value -> Parser [Statistics] #
Generic Statistics Source #
Instance details Defined in Amazonka.Forecast.Types.Statistics Associated Types type Rep Statistics :: Type -> Type # Methods from :: Statistics -> Rep Statistics x # to :: Rep Statistics x -> Statistics #
Read Statistics Source #
Instance details Defined in Amazonka.Forecast.Types.Statistics Methods readsPrec :: Int -> ReadS Statistics # readList :: ReadS [Statistics] # readPrec :: ReadPrec Statistics # readListPrec :: ReadPrec [Statistics] #
Show Statistics Source #
Instance details Defined in Amazonka.Forecast.Types.Statistics Methods showsPrec :: Int -> Statistics -> ShowS # show :: Statistics -> String # showList :: [Statistics] -> ShowS #
NFData Statistics Source #
Instance details Defined in Amazonka.Forecast.Types.Statistics Methods rnf :: Statistics -> () #
Eq Statistics Source #
Instance details Defined in Amazonka.Forecast.Types.Statistics Methods (==) :: Statistics -> Statistics -> Bool # (/=) :: Statistics -> Statistics -> Bool #
Hashable Statistics Source #
Instance details Defined in Amazonka.Forecast.Types.Statistics Methods hashWithSalt :: Int -> Statistics -> Int # hash :: Statistics -> Int #
type Rep Statistics Source #
Instance details Defined in Amazonka.Forecast.Types.Statistics type Rep Statistics = D1 ('MetaData "Statistics" "Amazonka.Forecast.Types.Statistics" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "Statistics'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "avg") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "count") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "countDistinct") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)))) :: (S1 ('MetaSel ('Just "countDistinctLong") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: (S1 ('MetaSel ('Just "countLong") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: S1 ('MetaSel ('Just "countNan") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))))) :: ((S1 ('MetaSel ('Just "countNanLong") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: (S1 ('MetaSel ('Just "countNull") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "countNullLong") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)))) :: (S1 ('MetaSel ('Just "max") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "min") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "stddev") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))))

newStatistics :: Statistics Source #

Create a value of Statistics 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:avg:Statistics', statistics_avg - For a numeric field, the average value in the field.

$sel:count:Statistics', statistics_count - The number of values in the field. If the response value is -1, refer to CountLong.

$sel:countDistinct:Statistics', statistics_countDistinct - The number of distinct values in the field. If the response value is -1, refer to CountDistinctLong.

$sel:countDistinctLong:Statistics', statistics_countDistinctLong - The number of distinct values in the field. CountDistinctLong is used instead of CountDistinct if the value is greater than 2,147,483,647.

$sel:countLong:Statistics', statistics_countLong - The number of values in the field. CountLong is used instead of Count if the value is greater than 2,147,483,647.

$sel:countNan:Statistics', statistics_countNan - The number of NAN (not a number) values in the field. If the response value is -1, refer to CountNanLong.

$sel:countNanLong:Statistics', statistics_countNanLong - The number of NAN (not a number) values in the field. CountNanLong is used instead of CountNan if the value is greater than 2,147,483,647.

$sel:countNull:Statistics', statistics_countNull - The number of null values in the field. If the response value is -1, refer to CountNullLong.

$sel:countNullLong:Statistics', statistics_countNullLong - The number of null values in the field. CountNullLong is used instead of CountNull if the value is greater than 2,147,483,647.

$sel:max:Statistics', statistics_max - For a numeric field, the maximum value in the field.

$sel:min:Statistics', statistics_min - For a numeric field, the minimum value in the field.

$sel:stddev:Statistics', statistics_stddev - For a numeric field, the standard deviation.

SupplementaryFeature

data SupplementaryFeature Source #

This object belongs to the CreatePredictor operation. If you created your predictor with CreateAutoPredictor, see AdditionalDataset.

Describes a supplementary feature of a dataset group. This object is part of the InputDataConfig object. Forecast supports the Weather Index and Holidays built-in featurizations.

Weather Index

The Amazon Forecast Weather Index is a built-in featurization that incorporates historical and projected weather information into your model. The Weather Index supplements your datasets with over two years of historical weather data and up to 14 days of projected weather data. For more information, see Amazon Forecast Weather Index.

Holidays

Holidays is a built-in featurization that incorporates a feature-engineered dataset of national holiday information into your model. It provides native support for the holiday calendars of 66 countries. To view the holiday calendars, refer to the Jollyday library. For more information, see Holidays Featurization.

See: newSupplementaryFeature smart constructor.

Constructors

SupplementaryFeature' Text Text

Instances

Instances details

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

newSupplementaryFeature Source #

Arguments

:: Text	`$sel:name:SupplementaryFeature'`
-> Text	`$sel:value:SupplementaryFeature'`
-> SupplementaryFeature

Create a value of SupplementaryFeature with all optional fields omitted.

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

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

$sel:name:SupplementaryFeature', supplementaryFeature_name - The name of the feature. Valid values: "holiday" and "weather".

$sel:value:SupplementaryFeature', supplementaryFeature_value - Weather Index

To enable the Weather Index, set the value to "true"

Holidays

To enable Holidays, specify a country with one of the following two-letter country codes:

"AL" - ALBANIA
"AR" - ARGENTINA
"AT" - AUSTRIA
"AU" - AUSTRALIA
"BA" - BOSNIA HERZEGOVINA
"BE" - BELGIUM
"BG" - BULGARIA
"BO" - BOLIVIA
"BR" - BRAZIL
"BY" - BELARUS
"CA" - CANADA
"CL" - CHILE
"CO" - COLOMBIA
"CR" - COSTA RICA
"HR" - CROATIA
"CZ" - CZECH REPUBLIC
"DK" - DENMARK
"EC" - ECUADOR
"EE" - ESTONIA
"ET" - ETHIOPIA
"FI" - FINLAND
"FR" - FRANCE
"DE" - GERMANY
"GR" - GREECE
"HU" - HUNGARY
"IS" - ICELAND
"IN" - INDIA
"IE" - IRELAND
"IT" - ITALY
"JP" - JAPAN
"KZ" - KAZAKHSTAN
"KR" - KOREA
"LV" - LATVIA
"LI" - LIECHTENSTEIN
"LT" - LITHUANIA
"LU" - LUXEMBOURG
"MK" - MACEDONIA
"MT" - MALTA
"MX" - MEXICO
"MD" - MOLDOVA
"ME" - MONTENEGRO
"NL" - NETHERLANDS
"NZ" - NEW ZEALAND
"NI" - NICARAGUA
"NG" - NIGERIA
"NO" - NORWAY
"PA" - PANAMA
"PY" - PARAGUAY
"PE" - PERU
"PL" - POLAND
"PT" - PORTUGAL
"RO" - ROMANIA
"RU" - RUSSIA
"RS" - SERBIA
"SK" - SLOVAKIA
"SI" - SLOVENIA
"ZA" - SOUTH AFRICA
"ES" - SPAIN
"SE" - SWEDEN
"CH" - SWITZERLAND
"UA" - UKRAINE
"AE" - UNITED ARAB EMIRATES
"US" - UNITED STATES
"UK" - UNITED KINGDOM
"UY" - URUGUAY
"VE" - VENEZUELA

Tag

data Tag Source #

The optional metadata that you apply to a resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

See: newTag smart constructor.

Constructors

Tag' (Sensitive Text) (Sensitive Text)

Instances

Instances details

FromJSON Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag Methods parseJSON :: Value -> Parser Tag # parseJSONList :: Value -> Parser [Tag] #
ToJSON Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag Methods toJSON :: Tag -> Value # toEncoding :: Tag -> Encoding # toJSONList :: [Tag] -> Value # toEncodingList :: [Tag] -> Encoding #
Generic Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag Associated Types type Rep Tag :: Type -> Type # Methods from :: Tag -> Rep Tag x # to :: Rep Tag x -> Tag #
Show Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag Methods showsPrec :: Int -> Tag -> ShowS # show :: Tag -> String # showList :: [Tag] -> ShowS #
NFData Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag Methods rnf :: Tag -> () #
Eq Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag Methods (==) :: Tag -> Tag -> Bool # (/=) :: Tag -> Tag -> Bool #
Hashable Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag Methods hashWithSalt :: Int -> Tag -> Int # hash :: Tag -> Int #
type Rep Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag type Rep Tag = D1 ('MetaData "Tag" "Amazonka.Forecast.Types.Tag" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "Tag'" 'PrefixI 'True) (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Sensitive Text)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Sensitive Text))))

newTag Source #

Arguments

:: Text	`$sel:key:Tag'`
-> Text	`$sel:value:Tag'`
-> Tag

Create a value of Tag with all optional fields omitted.

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

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

$sel:key:Tag', tag_key - One part of a key-value pair that makes up a tag. A key is a general label that acts like a category for more specific tag values.

$sel:value:Tag', tag_value - The optional part of a key-value pair that makes up a tag. A value acts as a descriptor within a tag category (key).

TestWindowSummary

data TestWindowSummary Source #

The status, start time, and end time of a backtest, as well as a failure reason if applicable.

See: newTestWindowSummary smart constructor.

Constructors

TestWindowSummary' (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe POSIX)

Instances

Instances details

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

newTestWindowSummary :: TestWindowSummary Source #

Create a value of TestWindowSummary 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:message:TestWindowSummary', testWindowSummary_message - If the test failed, the reason why it failed.

$sel:status:TestWindowSummary', testWindowSummary_status - The status of the test. Possible status values are:

```
ACTIVE
```
```
CREATE_IN_PROGRESS
```
```
CREATE_FAILED
```

$sel:testWindowEnd:TestWindowSummary', testWindowSummary_testWindowEnd - The time at which the test ended.

$sel:testWindowStart:TestWindowSummary', testWindowSummary_testWindowStart - The time at which the test began.

TimeAlignmentBoundary

data TimeAlignmentBoundary Source #

The time boundary Forecast uses to align and aggregate your data to match your forecast frequency. Provide the unit of time and the time boundary as a key value pair. If you don't provide a time boundary, Forecast uses a set of Default Time Boundaries.

For more information about aggregation, see Data Aggregation for Different Forecast Frequencies. For more information setting a custom time boundary, see Specifying a Time Boundary.

See: newTimeAlignmentBoundary smart constructor.

Constructors

TimeAlignmentBoundary' (Maybe Natural) (Maybe DayOfWeek) (Maybe Natural) (Maybe Month)

Instances

Instances details

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

newTimeAlignmentBoundary :: TimeAlignmentBoundary Source #

Create a value of TimeAlignmentBoundary 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:dayOfMonth:TimeAlignmentBoundary', timeAlignmentBoundary_dayOfMonth - The day of the month to use for time alignment during aggregation.

$sel:dayOfWeek:TimeAlignmentBoundary', timeAlignmentBoundary_dayOfWeek - The day of week to use for time alignment during aggregation. The day must be in uppercase.

$sel:hour:TimeAlignmentBoundary', timeAlignmentBoundary_hour - The hour of day to use for time alignment during aggregation.

$sel:month:TimeAlignmentBoundary', timeAlignmentBoundary_month - The month to use for time alignment during aggregation. The month must be in uppercase.

TimeSeriesCondition

data TimeSeriesCondition Source #

Creates a subset of items within an attribute that are modified. For example, you can use this operation to create a subset of items that cost $5 or less. To do this, you specify "AttributeName": "price", "AttributeValue": "5", and "Condition": "LESS_THAN". Pair this operation with the Action operation within the CreateWhatIfForecastRequest$TimeSeriesTransformations operation to define how the attribute is modified.

See: newTimeSeriesCondition smart constructor.

Constructors

TimeSeriesCondition' Text Text Condition

Instances

Instances details

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

newTimeSeriesCondition Source #

Arguments

:: Text	`$sel:attributeName:TimeSeriesCondition'`
-> Text	`$sel:attributeValue:TimeSeriesCondition'`
-> Condition	`$sel:condition:TimeSeriesCondition'`
-> TimeSeriesCondition

Create a value of TimeSeriesCondition 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:attributeName:TimeSeriesCondition', timeSeriesCondition_attributeName - The item_id, dimension name, IM name, or timestamp that you are modifying.

$sel:attributeValue:TimeSeriesCondition', timeSeriesCondition_attributeValue - The value that is applied for the chosen Condition.

$sel:condition:TimeSeriesCondition', timeSeriesCondition_condition - The condition to apply. Valid values are EQUALS, NOT_EQUALS, LESS_THAN and GREATER_THAN.

TimeSeriesIdentifiers

data TimeSeriesIdentifiers Source #

Details about the import file that contains the time series for which you want to create forecasts.

See: newTimeSeriesIdentifiers smart constructor.

Constructors

TimeSeriesIdentifiers' (Maybe DataSource) (Maybe Text) (Maybe Schema)

Instances

Instances details

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

newTimeSeriesIdentifiers :: TimeSeriesIdentifiers Source #

Create a value of TimeSeriesIdentifiers 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:dataSource:TimeSeriesIdentifiers', timeSeriesIdentifiers_dataSource - Undocumented member.

$sel:format:TimeSeriesIdentifiers', timeSeriesIdentifiers_format - The format of the data, either CSV or PARQUET.

$sel:schema:TimeSeriesIdentifiers', timeSeriesIdentifiers_schema - Undocumented member.

TimeSeriesReplacementsDataSource

data TimeSeriesReplacementsDataSource Source #

A replacement dataset is a modified version of the baseline related time series that contains only the values that you want to include in a what-if forecast. The replacement dataset must contain the forecast dimensions and item identifiers in the baseline related time series as well as at least 1 changed time series. This dataset is merged with the baseline related time series to create a transformed dataset that is used for the what-if forecast.

See: newTimeSeriesReplacementsDataSource smart constructor.

Constructors

TimeSeriesReplacementsDataSource' (Maybe Text) (Maybe Text) S3Config Schema

Instances

Instances details

FromJSON TimeSeriesReplacementsDataSource Source #
Instance details Defined in Amazonka.Forecast.Types.TimeSeriesReplacementsDataSource Methods parseJSON :: Value -> Parser TimeSeriesReplacementsDataSource # parseJSONList :: Value -> Parser [TimeSeriesReplacementsDataSource] #
ToJSON TimeSeriesReplacementsDataSource Source #
Instance details Defined in Amazonka.Forecast.Types.TimeSeriesReplacementsDataSource Methods toJSON :: TimeSeriesReplacementsDataSource -> Value # toEncoding :: TimeSeriesReplacementsDataSource -> Encoding # toJSONList :: [TimeSeriesReplacementsDataSource] -> Value # toEncodingList :: [TimeSeriesReplacementsDataSource] -> Encoding #
Generic TimeSeriesReplacementsDataSource Source #
Instance details Defined in Amazonka.Forecast.Types.TimeSeriesReplacementsDataSource Associated Types type Rep TimeSeriesReplacementsDataSource :: Type -> Type # Methods from :: TimeSeriesReplacementsDataSource -> Rep TimeSeriesReplacementsDataSource x # to :: Rep TimeSeriesReplacementsDataSource x -> TimeSeriesReplacementsDataSource #
Read TimeSeriesReplacementsDataSource Source #
Instance details Defined in Amazonka.Forecast.Types.TimeSeriesReplacementsDataSource Methods readsPrec :: Int -> ReadS TimeSeriesReplacementsDataSource # readList :: ReadS [TimeSeriesReplacementsDataSource] # readPrec :: ReadPrec TimeSeriesReplacementsDataSource # readListPrec :: ReadPrec [TimeSeriesReplacementsDataSource] #
Show TimeSeriesReplacementsDataSource Source #
Instance details Defined in Amazonka.Forecast.Types.TimeSeriesReplacementsDataSource Methods showsPrec :: Int -> TimeSeriesReplacementsDataSource -> ShowS # show :: TimeSeriesReplacementsDataSource -> String # showList :: [TimeSeriesReplacementsDataSource] -> ShowS #
NFData TimeSeriesReplacementsDataSource Source #
Instance details Defined in Amazonka.Forecast.Types.TimeSeriesReplacementsDataSource Methods rnf :: TimeSeriesReplacementsDataSource -> () #
Eq TimeSeriesReplacementsDataSource Source #
Instance details Defined in Amazonka.Forecast.Types.TimeSeriesReplacementsDataSource Methods (==) :: TimeSeriesReplacementsDataSource -> TimeSeriesReplacementsDataSource -> Bool # (/=) :: TimeSeriesReplacementsDataSource -> TimeSeriesReplacementsDataSource -> Bool #
Hashable TimeSeriesReplacementsDataSource Source #
Instance details Defined in Amazonka.Forecast.Types.TimeSeriesReplacementsDataSource Methods hashWithSalt :: Int -> TimeSeriesReplacementsDataSource -> Int # hash :: TimeSeriesReplacementsDataSource -> Int #
type Rep TimeSeriesReplacementsDataSource Source #
Instance details Defined in Amazonka.Forecast.Types.TimeSeriesReplacementsDataSource type Rep TimeSeriesReplacementsDataSource = D1 ('MetaData "TimeSeriesReplacementsDataSource" "Amazonka.Forecast.Types.TimeSeriesReplacementsDataSource" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "TimeSeriesReplacementsDataSource'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "timestampFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "s3Config") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3Config) :*: S1 ('MetaSel ('Just "schema") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Schema))))

newTimeSeriesReplacementsDataSource Source #

Arguments

:: S3Config	`$sel:s3Config:TimeSeriesReplacementsDataSource'`
-> Schema	`$sel:schema:TimeSeriesReplacementsDataSource'`
-> TimeSeriesReplacementsDataSource

Create a value of TimeSeriesReplacementsDataSource 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:format:TimeSeriesReplacementsDataSource', timeSeriesReplacementsDataSource_format - The format of the replacement data, CSV or PARQUET.

$sel:timestampFormat:TimeSeriesReplacementsDataSource', timeSeriesReplacementsDataSource_timestampFormat - The timestamp format of the replacement data.

$sel:s3Config:TimeSeriesReplacementsDataSource', timeSeriesReplacementsDataSource_s3Config - Undocumented member.

$sel:schema:TimeSeriesReplacementsDataSource', timeSeriesReplacementsDataSource_schema - Undocumented member.

TimeSeriesSelector

data TimeSeriesSelector Source #

Defines the set of time series that are used to create the forecasts in a TimeSeriesIdentifiers object.

The TimeSeriesIdentifiers object needs the following information:

```
DataSource
```
```
Format
```
```
Schema
```

See: newTimeSeriesSelector smart constructor.

Constructors

TimeSeriesSelector' (Maybe TimeSeriesIdentifiers)

Instances

Instances details

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

newTimeSeriesSelector :: TimeSeriesSelector Source #

Create a value of TimeSeriesSelector 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:timeSeriesIdentifiers:TimeSeriesSelector', timeSeriesSelector_timeSeriesIdentifiers - Details about the import file that contains the time series for which you want to create forecasts.

TimeSeriesTransformation

data TimeSeriesTransformation Source #

A transformation function is a pair of operations that select and modify the rows in a related time series. You select the rows that you want with a condition operation and you modify the rows with a transformation operation. All conditions are joined with an AND operation, meaning that all conditions must be true for the transformation to be applied. Transformations are applied in the order that they are listed.

See: newTimeSeriesTransformation smart constructor.

Constructors

TimeSeriesTransformation' (Maybe Action) (Maybe [TimeSeriesCondition])

Instances

Instances details

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

newTimeSeriesTransformation :: TimeSeriesTransformation Source #

Create a value of TimeSeriesTransformation 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:action:TimeSeriesTransformation', timeSeriesTransformation_action - An array of actions that define a time series and how it is transformed. These transformations create a new time series that is used for the what-if analysis.

$sel:timeSeriesConditions:TimeSeriesTransformation', timeSeriesTransformation_timeSeriesConditions - An array of conditions that define which members of the related time series are transformed.

WeightedQuantileLoss

data WeightedQuantileLoss Source #

The weighted loss value for a quantile. This object is part of the Metrics object.

See: newWeightedQuantileLoss smart constructor.

Constructors

WeightedQuantileLoss' (Maybe Double) (Maybe Double)

Instances

Instances details

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

newWeightedQuantileLoss :: WeightedQuantileLoss Source #

Create a value of WeightedQuantileLoss 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:lossValue:WeightedQuantileLoss', weightedQuantileLoss_lossValue - The difference between the predicted value and the actual value over the quantile, weighted (normalized) by dividing by the sum over all quantiles.

$sel:quantile:WeightedQuantileLoss', weightedQuantileLoss_quantile - The quantile. Quantiles divide a probability distribution into regions of equal probability. For example, if the distribution was divided into 5 regions of equal probability, the quantiles would be 0.2, 0.4, 0.6, and 0.8.

WhatIfAnalysisSummary

data WhatIfAnalysisSummary Source #

Provides a summary of the what-if analysis properties used in the ListWhatIfAnalyses operation. To get the complete set of properties, call the DescribeWhatIfAnalysis operation, and provide the WhatIfAnalysisArn that is listed in the summary.

See: newWhatIfAnalysisSummary smart constructor.

Constructors

WhatIfAnalysisSummary' (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)

Instances

Instances details

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

newWhatIfAnalysisSummary :: WhatIfAnalysisSummary Source #

Create a value of WhatIfAnalysisSummary 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:creationTime:WhatIfAnalysisSummary', whatIfAnalysisSummary_creationTime - When the what-if analysis was created.

$sel:forecastArn:WhatIfAnalysisSummary', whatIfAnalysisSummary_forecastArn - The Amazon Resource Name (ARN) of the baseline forecast that is being used in this what-if analysis.

$sel:lastModificationTime:WhatIfAnalysisSummary', whatIfAnalysisSummary_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

$sel:message:WhatIfAnalysisSummary', whatIfAnalysisSummary_message - If an error occurred, an informational message about the error.

$sel:status:WhatIfAnalysisSummary', whatIfAnalysisSummary_status - The status of the what-if analysis. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

The Status of the what-if analysis must be ACTIVE before you can access the analysis.

$sel:whatIfAnalysisArn:WhatIfAnalysisSummary', whatIfAnalysisSummary_whatIfAnalysisArn - The Amazon Resource Name (ARN) of the what-if analysis.

$sel:whatIfAnalysisName:WhatIfAnalysisSummary', whatIfAnalysisSummary_whatIfAnalysisName - The name of the what-if analysis.

WhatIfForecastExportSummary

data WhatIfForecastExportSummary Source #

Provides a summary of the what-if forecast export properties used in the ListWhatIfForecastExports operation. To get the complete set of properties, call the DescribeWhatIfForecastExport operation, and provide the WhatIfForecastExportArn that is listed in the summary.

See: newWhatIfForecastExportSummary smart constructor.

Constructors

WhatIfForecastExportSummary' (Maybe POSIX) (Maybe DataDestination) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe (NonEmpty Text)) (Maybe Text) (Maybe Text)

Instances

Instances details

FromJSON WhatIfForecastExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WhatIfForecastExportSummary Methods parseJSON :: Value -> Parser WhatIfForecastExportSummary # parseJSONList :: Value -> Parser [WhatIfForecastExportSummary] #
Generic WhatIfForecastExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WhatIfForecastExportSummary Associated Types type Rep WhatIfForecastExportSummary :: Type -> Type # Methods from :: WhatIfForecastExportSummary -> Rep WhatIfForecastExportSummary x # to :: Rep WhatIfForecastExportSummary x -> WhatIfForecastExportSummary #
Read WhatIfForecastExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WhatIfForecastExportSummary Methods readsPrec :: Int -> ReadS WhatIfForecastExportSummary # readList :: ReadS [WhatIfForecastExportSummary] # readPrec :: ReadPrec WhatIfForecastExportSummary # readListPrec :: ReadPrec [WhatIfForecastExportSummary] #
Show WhatIfForecastExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WhatIfForecastExportSummary Methods showsPrec :: Int -> WhatIfForecastExportSummary -> ShowS # show :: WhatIfForecastExportSummary -> String # showList :: [WhatIfForecastExportSummary] -> ShowS #
NFData WhatIfForecastExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WhatIfForecastExportSummary Methods rnf :: WhatIfForecastExportSummary -> () #
Eq WhatIfForecastExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WhatIfForecastExportSummary Methods (==) :: WhatIfForecastExportSummary -> WhatIfForecastExportSummary -> Bool # (/=) :: WhatIfForecastExportSummary -> WhatIfForecastExportSummary -> Bool #
Hashable WhatIfForecastExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WhatIfForecastExportSummary Methods hashWithSalt :: Int -> WhatIfForecastExportSummary -> Int # hash :: WhatIfForecastExportSummary -> Int #
type Rep WhatIfForecastExportSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WhatIfForecastExportSummary type Rep WhatIfForecastExportSummary = D1 ('MetaData "WhatIfForecastExportSummary" "Amazonka.Forecast.Types.WhatIfForecastExportSummary" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "WhatIfForecastExportSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataDestination))) :: (S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "whatIfForecastArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text)))) :: (S1 ('MetaSel ('Just "whatIfForecastExportArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "whatIfForecastExportName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newWhatIfForecastExportSummary :: WhatIfForecastExportSummary Source #

Create a value of WhatIfForecastExportSummary 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:creationTime:WhatIfForecastExportSummary', whatIfForecastExportSummary_creationTime - When the what-if forecast export was created.

$sel:destination:WhatIfForecastExportSummary', whatIfForecastExportSummary_destination - The path to the Amazon Simple Storage Service (Amazon S3) bucket where the forecast is exported.

$sel:lastModificationTime:WhatIfForecastExportSummary', whatIfForecastExportSummary_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

$sel:message:WhatIfForecastExportSummary', whatIfForecastExportSummary_message - If an error occurred, an informational message about the error.

$sel:status:WhatIfForecastExportSummary', whatIfForecastExportSummary_status - The status of the what-if forecast export. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

The Status of the what-if analysis must be ACTIVE before you can access the analysis.

$sel:whatIfForecastArns:WhatIfForecastExportSummary', whatIfForecastExportSummary_whatIfForecastArns - An array of Amazon Resource Names (ARNs) that define the what-if forecasts included in the export.

$sel:whatIfForecastExportArn:WhatIfForecastExportSummary', whatIfForecastExportSummary_whatIfForecastExportArn - The Amazon Resource Name (ARN) of the what-if forecast export.

$sel:whatIfForecastExportName:WhatIfForecastExportSummary', whatIfForecastExportSummary_whatIfForecastExportName - The what-if forecast export name.

WhatIfForecastSummary

data WhatIfForecastSummary Source #

Provides a summary of the what-if forecast properties used in the ListWhatIfForecasts operation. To get the complete set of properties, call the DescribeWhatIfForecast operation, and provide the WhatIfForecastArn that is listed in the summary.

See: newWhatIfForecastSummary smart constructor.

Constructors

WhatIfForecastSummary' (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)

Instances

Instances details

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

newWhatIfForecastSummary :: WhatIfForecastSummary Source #

Create a value of WhatIfForecastSummary 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:creationTime:WhatIfForecastSummary', whatIfForecastSummary_creationTime - When the what-if forecast was created.

$sel:lastModificationTime:WhatIfForecastSummary', whatIfForecastSummary_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

$sel:message:WhatIfForecastSummary', whatIfForecastSummary_message - If an error occurred, an informational message about the error.

$sel:status:WhatIfForecastSummary', whatIfForecastSummary_status - The status of the what-if forecast. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
CREATE_STOPPING, CREATE_STOPPED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

The Status of the what-if analysis must be ACTIVE before you can access the analysis.

$sel:whatIfAnalysisArn:WhatIfForecastSummary', whatIfForecastSummary_whatIfAnalysisArn - The Amazon Resource Name (ARN) of the what-if analysis that contains this what-if forecast.

$sel:whatIfForecastArn:WhatIfForecastSummary', whatIfForecastSummary_whatIfForecastArn - The Amazon Resource Name (ARN) of the what-if forecast.

$sel:whatIfForecastName:WhatIfForecastSummary', whatIfForecastSummary_whatIfForecastName - The name of the what-if forecast.

WindowSummary

data WindowSummary Source #

The metrics for a time range within the evaluation portion of a dataset. This object is part of the EvaluationResult object.

The TestWindowStart and TestWindowEnd parameters are determined by the BackTestWindowOffset parameter of the EvaluationParameters object.

See: newWindowSummary smart constructor.

Constructors

WindowSummary' (Maybe EvaluationType) (Maybe Int) (Maybe Metrics) (Maybe POSIX) (Maybe POSIX)

Instances

Instances details

FromJSON WindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WindowSummary Methods parseJSON :: Value -> Parser WindowSummary # parseJSONList :: Value -> Parser [WindowSummary] #
Generic WindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WindowSummary Associated Types type Rep WindowSummary :: Type -> Type # Methods from :: WindowSummary -> Rep WindowSummary x # to :: Rep WindowSummary x -> WindowSummary #
Read WindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WindowSummary Methods readsPrec :: Int -> ReadS WindowSummary # readList :: ReadS [WindowSummary] # readPrec :: ReadPrec WindowSummary # readListPrec :: ReadPrec [WindowSummary] #
Show WindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WindowSummary Methods showsPrec :: Int -> WindowSummary -> ShowS # show :: WindowSummary -> String # showList :: [WindowSummary] -> ShowS #
NFData WindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WindowSummary Methods rnf :: WindowSummary -> () #
Eq WindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WindowSummary Methods (==) :: WindowSummary -> WindowSummary -> Bool # (/=) :: WindowSummary -> WindowSummary -> Bool #
Hashable WindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WindowSummary Methods hashWithSalt :: Int -> WindowSummary -> Int # hash :: WindowSummary -> Int #
type Rep WindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WindowSummary type Rep WindowSummary = D1 ('MetaData "WindowSummary" "Amazonka.Forecast.Types.WindowSummary" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "WindowSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "evaluationType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EvaluationType)) :: S1 ('MetaSel ('Just "itemCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))) :: (S1 ('MetaSel ('Just "metrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Metrics)) :: (S1 ('MetaSel ('Just "testWindowEnd") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "testWindowStart") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))))

newWindowSummary :: WindowSummary Source #

Create a value of WindowSummary 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:evaluationType:WindowSummary', windowSummary_evaluationType - The type of evaluation.

SUMMARY - The average metrics across all windows.
COMPUTED - The metrics for the specified window.

$sel:itemCount:WindowSummary', windowSummary_itemCount - The number of data points within the window.

$sel:metrics:WindowSummary', windowSummary_metrics - Provides metrics used to evaluate the performance of a predictor.

$sel:testWindowEnd:WindowSummary', windowSummary_testWindowEnd - The timestamp that defines the end of the window.

$sel:testWindowStart:WindowSummary', windowSummary_testWindowStart - The timestamp that defines the start of the window.