Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

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
_ResourceAlreadyExistsException :: AsError a => Getting (First ServiceError) a ServiceError
_InvalidNextTokenException :: AsError a => Getting (First ServiceError) a ServiceError
_InvalidInputException :: AsError a => Getting (First ServiceError) a ServiceError
_ResourceNotFoundException :: AsError a => Getting (First ServiceError) a ServiceError
_LimitExceededException :: AsError a => Getting (First ServiceError) a ServiceError
_ResourceInUseException :: AsError a => Getting (First ServiceError) a ServiceError
data ListDatasetGroups = ListDatasetGroups' (Maybe Text) (Maybe Natural)
newListDatasetGroups :: ListDatasetGroups
data ListDatasetGroupsResponse = ListDatasetGroupsResponse' (Maybe Text) (Maybe [DatasetGroupSummary]) Int
newListDatasetGroupsResponse :: Int -> ListDatasetGroupsResponse
data CreateDatasetImportJob = CreateDatasetImportJob' (Maybe Text) (Maybe Bool) (Maybe Text) (Maybe Text) (Maybe [Tag]) Text Text DataSource
newCreateDatasetImportJob :: Text -> Text -> DataSource -> CreateDatasetImportJob
data CreateDatasetImportJobResponse = CreateDatasetImportJobResponse' (Maybe Text) Int
newCreateDatasetImportJobResponse :: Int -> CreateDatasetImportJobResponse
data DescribeDataset = DescribeDataset' Text
newDescribeDataset :: Text -> DescribeDataset
data DescribeDatasetResponse = DescribeDatasetResponse' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Domain) (Maybe Schema) (Maybe DatasetType) (Maybe Text) (Maybe EncryptionConfig) (Maybe POSIX) Int
newDescribeDatasetResponse :: Int -> DescribeDatasetResponse
data ListForecasts = ListForecasts' (Maybe [Filter]) (Maybe Text) (Maybe Natural)
newListForecasts :: ListForecasts
data ListForecastsResponse = ListForecastsResponse' (Maybe [ForecastSummary]) (Maybe Text) Int
newListForecastsResponse :: Int -> ListForecastsResponse
data ListTagsForResource = ListTagsForResource' Text
newListTagsForResource :: Text -> ListTagsForResource
data ListTagsForResourceResponse = ListTagsForResourceResponse' (Maybe [Tag]) Int
newListTagsForResourceResponse :: Int -> ListTagsForResourceResponse
data StopResource = StopResource' Text
newStopResource :: Text -> StopResource
data StopResourceResponse = StopResourceResponse' {
}
newStopResourceResponse :: StopResourceResponse
data DescribeDatasetImportJob = DescribeDatasetImportJob' Text
newDescribeDatasetImportJob :: Text -> DescribeDatasetImportJob
data DescribeDatasetImportJobResponse = DescribeDatasetImportJobResponse' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Double) (Maybe Integer) (Maybe (HashMap Text Statistics)) (Maybe DataSource) (Maybe Text) (Maybe Bool) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) Int
newDescribeDatasetImportJobResponse :: Int -> DescribeDatasetImportJobResponse
data DescribeForecastExportJob = DescribeForecastExportJob' Text
newDescribeForecastExportJob :: Text -> DescribeForecastExportJob
data DescribeForecastExportJobResponse = DescribeForecastExportJobResponse' (Maybe POSIX) (Maybe Text) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) Int
newDescribeForecastExportJobResponse :: Int -> DescribeForecastExportJobResponse
data DescribePredictor = DescribePredictor' Text
newDescribePredictor :: Text -> DescribePredictor
data DescribePredictorResponse = DescribePredictorResponse' (Maybe POSIX) (Maybe Int) (Maybe Text) (Maybe Bool) (Maybe [Text]) (Maybe (HashMap Text Text)) (Maybe Text) (Maybe HyperParameterTuningJobConfig) (Maybe Text) (Maybe OptimizationMetric) (Maybe PredictorExecutionDetails) (Maybe [Text]) (Maybe Integer) (Maybe AutoMLOverrideStrategy) (Maybe EvaluationParameters) (Maybe InputDataConfig) (Maybe Text) (Maybe FeaturizationConfig) (Maybe EncryptionConfig) (Maybe (NonEmpty Text)) (Maybe Text) (Maybe Bool) (Maybe POSIX) Int
newDescribePredictorResponse :: Int -> DescribePredictorResponse
data DeleteDataset = DeleteDataset' Text
newDeleteDataset :: Text -> DeleteDataset
data DeleteDatasetResponse = DeleteDatasetResponse' {
}
newDeleteDatasetResponse :: DeleteDatasetResponse
data DescribeForecast = DescribeForecast' Text
newDescribeForecast :: Text -> DescribeForecast
data DescribeForecastResponse = DescribeForecastResponse' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Integer) (Maybe Text) (Maybe (NonEmpty Text)) (Maybe Text) (Maybe Text) (Maybe POSIX) Int
newDescribeForecastResponse :: Int -> DescribeForecastResponse
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 DeleteForecastExportJob = DeleteForecastExportJob' Text
newDeleteForecastExportJob :: Text -> DeleteForecastExportJob
data DeleteForecastExportJobResponse = DeleteForecastExportJobResponse' {
}
newDeleteForecastExportJobResponse :: DeleteForecastExportJobResponse
data DeletePredictor = DeletePredictor' Text
newDeletePredictor :: Text -> DeletePredictor
data DeletePredictorResponse = DeletePredictorResponse' {
}
newDeletePredictorResponse :: DeletePredictorResponse
data ListDatasetImportJobs = ListDatasetImportJobs' (Maybe [Filter]) (Maybe Text) (Maybe Natural)
newListDatasetImportJobs :: ListDatasetImportJobs
data ListDatasetImportJobsResponse = ListDatasetImportJobsResponse' (Maybe [DatasetImportJobSummary]) (Maybe Text) Int
newListDatasetImportJobsResponse :: Int -> ListDatasetImportJobsResponse
data DeleteDatasetImportJob = DeleteDatasetImportJob' Text
newDeleteDatasetImportJob :: Text -> DeleteDatasetImportJob
data DeleteDatasetImportJobResponse = DeleteDatasetImportJobResponse' {
}
newDeleteDatasetImportJobResponse :: DeleteDatasetImportJobResponse
data GetAccuracyMetrics = GetAccuracyMetrics' Text
newGetAccuracyMetrics :: Text -> GetAccuracyMetrics
data GetAccuracyMetricsResponse = GetAccuracyMetricsResponse' (Maybe [EvaluationResult]) (Maybe OptimizationMetric) (Maybe AutoMLOverrideStrategy) Int
newGetAccuracyMetricsResponse :: Int -> GetAccuracyMetricsResponse
data DeleteDatasetGroup = DeleteDatasetGroup' Text
newDeleteDatasetGroup :: Text -> DeleteDatasetGroup
data DeleteDatasetGroupResponse = DeleteDatasetGroupResponse' {
}
newDeleteDatasetGroupResponse :: DeleteDatasetGroupResponse
data UpdateDatasetGroup = UpdateDatasetGroup' Text [Text]
newUpdateDatasetGroup :: Text -> UpdateDatasetGroup
data UpdateDatasetGroupResponse = UpdateDatasetGroupResponse' Int
newUpdateDatasetGroupResponse :: Int -> UpdateDatasetGroupResponse
data CreateForecastExportJob = CreateForecastExportJob' (Maybe [Tag]) Text Text DataDestination
newCreateForecastExportJob :: Text -> Text -> DataDestination -> CreateForecastExportJob
data CreateForecastExportJobResponse = CreateForecastExportJobResponse' (Maybe Text) Int
newCreateForecastExportJobResponse :: Int -> CreateForecastExportJobResponse
data CreatePredictor = CreatePredictor' (Maybe Bool) (Maybe (HashMap Text Text)) (Maybe Text) (Maybe HyperParameterTuningJobConfig) (Maybe OptimizationMetric) (Maybe AutoMLOverrideStrategy) (Maybe EvaluationParameters) (Maybe EncryptionConfig) (Maybe (NonEmpty Text)) (Maybe Bool) (Maybe [Tag]) Text Int InputDataConfig FeaturizationConfig
newCreatePredictor :: Text -> Int -> InputDataConfig -> FeaturizationConfig -> CreatePredictor
data CreatePredictorResponse = CreatePredictorResponse' (Maybe Text) Int
newCreatePredictorResponse :: Int -> CreatePredictorResponse
data ListPredictorBacktestExportJobs = ListPredictorBacktestExportJobs' (Maybe [Filter]) (Maybe Text) (Maybe Natural)
newListPredictorBacktestExportJobs :: ListPredictorBacktestExportJobs
data ListPredictorBacktestExportJobsResponse = ListPredictorBacktestExportJobsResponse' (Maybe Text) (Maybe [PredictorBacktestExportJobSummary]) Int
newListPredictorBacktestExportJobsResponse :: Int -> ListPredictorBacktestExportJobsResponse
data DeletePredictorBacktestExportJob = DeletePredictorBacktestExportJob' Text
newDeletePredictorBacktestExportJob :: Text -> DeletePredictorBacktestExportJob
data DeletePredictorBacktestExportJobResponse = DeletePredictorBacktestExportJobResponse' {
}
newDeletePredictorBacktestExportJobResponse :: DeletePredictorBacktestExportJobResponse
data CreateForecast = CreateForecast' (Maybe (NonEmpty Text)) (Maybe [Tag]) Text Text
newCreateForecast :: Text -> Text -> CreateForecast
data CreateForecastResponse = CreateForecastResponse' (Maybe Text) Int
newCreateForecastResponse :: Int -> CreateForecastResponse
data CreatePredictorBacktestExportJob = CreatePredictorBacktestExportJob' (Maybe [Tag]) Text Text DataDestination
newCreatePredictorBacktestExportJob :: Text -> Text -> DataDestination -> CreatePredictorBacktestExportJob
data CreatePredictorBacktestExportJobResponse = CreatePredictorBacktestExportJobResponse' (Maybe Text) Int
newCreatePredictorBacktestExportJobResponse :: Int -> CreatePredictorBacktestExportJobResponse
data DeleteForecast = DeleteForecast' Text
newDeleteForecast :: Text -> DeleteForecast
data DeleteForecastResponse = DeleteForecastResponse' {
}
newDeleteForecastResponse :: DeleteForecastResponse
data DeleteResourceTree = DeleteResourceTree' Text
newDeleteResourceTree :: Text -> DeleteResourceTree
data DeleteResourceTreeResponse = DeleteResourceTreeResponse' {
}
newDeleteResourceTreeResponse :: DeleteResourceTreeResponse
data DescribeDatasetGroup = DescribeDatasetGroup' Text
newDescribeDatasetGroup :: Text -> DescribeDatasetGroup
data DescribeDatasetGroupResponse = DescribeDatasetGroupResponse' (Maybe POSIX) (Maybe [Text]) (Maybe Text) (Maybe Domain) (Maybe Text) (Maybe Text) (Maybe POSIX) Int
newDescribeDatasetGroupResponse :: Int -> DescribeDatasetGroupResponse
data TagResource = TagResource' Text [Tag]
newTagResource :: Text -> TagResource
data TagResourceResponse = TagResourceResponse' Int
newTagResourceResponse :: Int -> TagResourceResponse
data ListDatasets = ListDatasets' (Maybe Text) (Maybe Natural)
newListDatasets :: ListDatasets
data ListDatasetsResponse = ListDatasetsResponse' (Maybe Text) (Maybe [DatasetSummary]) Int
newListDatasetsResponse :: Int -> ListDatasetsResponse
data DescribePredictorBacktestExportJob = DescribePredictorBacktestExportJob' Text
newDescribePredictorBacktestExportJob :: Text -> DescribePredictorBacktestExportJob
data DescribePredictorBacktestExportJobResponse = DescribePredictorBacktestExportJobResponse' (Maybe POSIX) (Maybe Text) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) Int
newDescribePredictorBacktestExportJobResponse :: Int -> DescribePredictorBacktestExportJobResponse
data UntagResource = UntagResource' Text [Sensitive Text]
newUntagResource :: Text -> UntagResource
data UntagResourceResponse = UntagResourceResponse' Int
newUntagResourceResponse :: Int -> UntagResourceResponse
data CreateDatasetGroup = CreateDatasetGroup' (Maybe [Text]) (Maybe [Tag]) Text Domain
newCreateDatasetGroup :: Text -> Domain -> CreateDatasetGroup
data CreateDatasetGroupResponse = CreateDatasetGroupResponse' (Maybe Text) Int
newCreateDatasetGroupResponse :: Int -> CreateDatasetGroupResponse
data ListForecastExportJobs = ListForecastExportJobs' (Maybe [Filter]) (Maybe Text) (Maybe Natural)
newListForecastExportJobs :: ListForecastExportJobs
data ListForecastExportJobsResponse = ListForecastExportJobsResponse' (Maybe Text) (Maybe [ForecastExportJobSummary]) Int
newListForecastExportJobsResponse :: Int -> ListForecastExportJobsResponse
data ListPredictors = ListPredictors' (Maybe [Filter]) (Maybe Text) (Maybe Natural)
newListPredictors :: ListPredictors
data ListPredictorsResponse = ListPredictorsResponse' (Maybe Text) (Maybe [PredictorSummary]) Int
newListPredictorsResponse :: Int -> ListPredictorsResponse
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_LatencyOptimized :: AutoMLOverrideStrategy
newtype DatasetType where
- DatasetType' {
  - fromDatasetType :: Text
  }
- pattern DatasetType_ITEM_METADATA :: DatasetType
- pattern DatasetType_RELATED_TIME_SERIES :: DatasetType
- pattern DatasetType_TARGET_TIME_SERIES :: DatasetType
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 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
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 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 Text) (Maybe Text) (Maybe DataSource) (Maybe Text) (Maybe Text) (Maybe POSIX)
newDatasetImportJobSummary :: DatasetImportJobSummary
data DatasetSummary = DatasetSummary' (Maybe POSIX) (Maybe Text) (Maybe Domain) (Maybe DatasetType) (Maybe Text) (Maybe POSIX)
newDatasetSummary :: DatasetSummary
data EncryptionConfig = EncryptionConfig' Text Text
newEncryptionConfig :: Text -> Text -> EncryptionConfig
data ErrorMetric = ErrorMetric' (Maybe Double) (Maybe Double) (Maybe Double) (Maybe Double) (Maybe Text)
newErrorMetric :: ErrorMetric
data EvaluationParameters = EvaluationParameters' (Maybe Int) (Maybe Int)
newEvaluationParameters :: EvaluationParameters
data EvaluationResult = EvaluationResult' (Maybe Text) (Maybe [WindowSummary])
newEvaluationResult :: EvaluationResult
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 Text) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX)
newForecastExportJobSummary :: ForecastExportJobSummary
data ForecastSummary = ForecastSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX)
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 Metrics = Metrics' (Maybe [ErrorMetric]) (Maybe Double) (Maybe [WeightedQuantileLoss]) (Maybe Double)
newMetrics :: Metrics
data ParameterRanges = ParameterRanges' (Maybe (NonEmpty CategoricalParameterRange)) (Maybe (NonEmpty IntegerParameterRange)) (Maybe (NonEmpty ContinuousParameterRange))
newParameterRanges :: ParameterRanges
data PredictorBacktestExportJobSummary = PredictorBacktestExportJobSummary' (Maybe POSIX) (Maybe Text) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX)
newPredictorBacktestExportJobSummary :: PredictorBacktestExportJobSummary
data PredictorExecution = PredictorExecution' (Maybe Text) (Maybe [TestWindowSummary])
newPredictorExecution :: PredictorExecution
data PredictorExecutionDetails = PredictorExecutionDetails' (Maybe (NonEmpty PredictorExecution))
newPredictorExecutionDetails :: PredictorExecutionDetails
data PredictorSummary = PredictorSummary' (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX)
newPredictorSummary :: PredictorSummary
data S3Config = S3Config' (Maybe Text) Text Text
newS3Config :: Text -> Text -> S3Config
data Schema = Schema' (Maybe (NonEmpty SchemaAttribute))
newSchema :: Schema
data SchemaAttribute = SchemaAttribute' (Maybe AttributeType) (Maybe Text)
newSchemaAttribute :: SchemaAttribute
data Statistics = Statistics' (Maybe Text) (Maybe Integer) (Maybe Int) (Maybe Integer) (Maybe Double) (Maybe Int) (Maybe Int) (Maybe Integer) (Maybe Double) (Maybe Text) (Maybe Integer) (Maybe Int)
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 POSIX) (Maybe POSIX) (Maybe Text)
newTestWindowSummary :: TestWindowSummary
data WeightedQuantileLoss = WeightedQuantileLoss' (Maybe Double) (Maybe Double)
newWeightedQuantileLoss :: WeightedQuantileLoss
data WindowSummary = WindowSummary' (Maybe Metrics) (Maybe POSIX) (Maybe EvaluationType) (Maybe POSIX) (Maybe Int)
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.

ResourceAlreadyExistsException

_ResourceAlreadyExistsException :: AsError a => Getting (First ServiceError) a ServiceError Source #

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

InvalidNextTokenException

_InvalidNextTokenException :: AsError a => Getting (First ServiceError) a ServiceError Source #

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

InvalidInputException

_InvalidInputException :: AsError a => Getting (First ServiceError) a ServiceError Source #

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

ResourceNotFoundException

_ResourceNotFoundException :: AsError a => Getting (First ServiceError) a ServiceError Source #

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

LimitExceededException

_LimitExceededException :: AsError a => Getting (First ServiceError) a ServiceError Source #

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

ResourceInUseException

_ResourceInUseException :: AsError a => Getting (First ServiceError) a ServiceError Source #

The specified resource is in use.

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.

ListDatasetGroups (Paginated)

data ListDatasetGroups Source #

See: newListDatasetGroups smart constructor.

Constructors

ListDatasetGroups' (Maybe Text) (Maybe Natural)

Instances

Instances details

Eq ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods (==) :: ListDatasetGroups -> ListDatasetGroups -> Bool # (/=) :: ListDatasetGroups -> ListDatasetGroups -> Bool #
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 #
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 #
NFData ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods rnf :: ListDatasetGroups -> () #
Hashable ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods hashWithSalt :: Int -> ListDatasetGroups -> Int # hash :: ListDatasetGroups -> Int #
ToJSON ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods toJSON :: ListDatasetGroups -> Value # toEncoding :: ListDatasetGroups -> Encoding # toJSONList :: [ListDatasetGroups] -> Value # toEncodingList :: [ListDatasetGroups] -> Encoding #
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 :: ListDatasetGroups -> Request ListDatasetGroups # response :: MonadResource m => Logger -> Service -> Proxy ListDatasetGroups -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListDatasetGroups))) #
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 #
type Rep ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups type Rep ListDatasetGroups = D1 ('MetaData "ListDatasetGroups" "Amazonka.Forecast.ListDatasetGroups" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ListDatasetGroups'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))
type AWSResponse ListDatasetGroups Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups type AWSResponse ListDatasetGroups = ListDatasetGroupsResponse

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:nextToken: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.

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

data ListDatasetGroupsResponse Source #

See: newListDatasetGroupsResponse smart constructor.

Constructors

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

Instances

Instances details

Eq ListDatasetGroupsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods (==) :: ListDatasetGroupsResponse -> ListDatasetGroupsResponse -> Bool # (/=) :: ListDatasetGroupsResponse -> ListDatasetGroupsResponse -> Bool #
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 #
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 #
NFData ListDatasetGroupsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups Methods rnf :: ListDatasetGroupsResponse -> () #
type Rep ListDatasetGroupsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetGroups type Rep ListDatasetGroupsResponse = D1 ('MetaData "ListDatasetGroupsResponse" "Amazonka.Forecast.ListDatasetGroups" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ListDatasetGroupsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "datasetGroups") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DatasetGroupSummary])) :: 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:nextToken: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:datasetGroups:ListDatasetGroupsResponse', listDatasetGroupsResponse_datasetGroups - An array of objects that summarize each dataset group's properties.

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

CreateDatasetImportJob

data CreateDatasetImportJob Source #

See: newCreateDatasetImportJob smart constructor.

Constructors

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

Instances

Instances details

Eq CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods (==) :: CreateDatasetImportJob -> CreateDatasetImportJob -> Bool # (/=) :: CreateDatasetImportJob -> CreateDatasetImportJob -> Bool #
Show CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods showsPrec :: Int -> CreateDatasetImportJob -> ShowS # show :: CreateDatasetImportJob -> String # showList :: [CreateDatasetImportJob] -> ShowS #
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 #
NFData CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods rnf :: CreateDatasetImportJob -> () #
Hashable CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods hashWithSalt :: Int -> CreateDatasetImportJob -> Int # hash :: CreateDatasetImportJob -> Int #
ToJSON CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods toJSON :: CreateDatasetImportJob -> Value # toEncoding :: CreateDatasetImportJob -> Encoding # toJSONList :: [CreateDatasetImportJob] -> Value # toEncodingList :: [CreateDatasetImportJob] -> Encoding #
AWSRequest CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Associated Types type AWSResponse CreateDatasetImportJob # Methods request :: CreateDatasetImportJob -> Request CreateDatasetImportJob # response :: MonadResource m => Logger -> Service -> Proxy CreateDatasetImportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateDatasetImportJob))) #
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 #
type Rep CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob type Rep CreateDatasetImportJob = D1 ('MetaData "CreateDatasetImportJob" "Amazonka.Forecast.CreateDatasetImportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "CreateDatasetImportJob'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "timestampFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "useGeolocationForTimeZone") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))) :: (S1 ('MetaSel ('Just "geolocationFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "timeZone") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :: 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)))))
type AWSResponse CreateDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob type AWSResponse CreateDatasetImportJob = CreateDatasetImportJobResponse

newCreateDatasetImportJob Source #

Arguments

:: Text	`$sel:datasetImportJobName:CreateDatasetImportJob'`
-> Text	`$sel:datasetArn:CreateDatasetImportJob'`
-> DataSource	`$sel: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:

$sel:timestampFormat: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.

$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: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.

$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:datasetImportJobName: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.

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

$sel:dataSource: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

Eq CreateDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods (==) :: CreateDatasetImportJobResponse -> CreateDatasetImportJobResponse -> Bool # (/=) :: CreateDatasetImportJobResponse -> CreateDatasetImportJobResponse -> Bool #
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 #
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 #
NFData CreateDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob Methods rnf :: CreateDatasetImportJobResponse -> () #
type Rep CreateDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetImportJob type Rep CreateDatasetImportJobResponse = D1 ('MetaData "CreateDatasetImportJobResponse" "Amazonka.Forecast.CreateDatasetImportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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:

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

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

DescribeDataset

data DescribeDataset Source #

See: newDescribeDataset smart constructor.

Constructors

DescribeDataset' Text

Instances

Instances details

Eq DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods (==) :: DescribeDataset -> DescribeDataset -> Bool # (/=) :: DescribeDataset -> DescribeDataset -> Bool #
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 #
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 #
NFData DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods rnf :: DescribeDataset -> () #
Hashable DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods hashWithSalt :: Int -> DescribeDataset -> Int # hash :: DescribeDataset -> Int #
ToJSON DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods toJSON :: DescribeDataset -> Value # toEncoding :: DescribeDataset -> Encoding # toJSONList :: [DescribeDataset] -> Value # toEncodingList :: [DescribeDataset] -> Encoding #
AWSRequest DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Associated Types type AWSResponse DescribeDataset # Methods request :: DescribeDataset -> Request DescribeDataset # response :: MonadResource m => Logger -> Service -> Proxy DescribeDataset -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeDataset))) #
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 #
type Rep DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset type Rep DescribeDataset = D1 ('MetaData "DescribeDataset" "Amazonka.Forecast.DescribeDataset" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribeDataset'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DescribeDataset Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset type AWSResponse DescribeDataset = DescribeDatasetResponse

newDescribeDataset Source #

Arguments

:: Text	`$sel:datasetArn: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:

$sel:datasetArn: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 Domain) (Maybe Schema) (Maybe DatasetType) (Maybe Text) (Maybe EncryptionConfig) (Maybe POSIX) Int

Instances

Instances details

Eq DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods (==) :: DescribeDatasetResponse -> DescribeDatasetResponse -> Bool # (/=) :: DescribeDatasetResponse -> DescribeDatasetResponse -> Bool #
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 #
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 #
NFData DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset Methods rnf :: DescribeDatasetResponse -> () #
type Rep DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDataset type Rep DescribeDatasetResponse = D1 ('MetaData "DescribeDatasetResponse" "Amazonka.Forecast.DescribeDataset" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribeDatasetResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "dataFrequency") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Domain))))) :: ((S1 ('MetaSel ('Just "schema") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Schema)) :: (S1 ('MetaSel ('Just "datasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetType)) :: S1 ('MetaSel ('Just "datasetName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "encryptionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EncryptionConfig)) :: (S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: 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:

$sel:creationTime:DescribeDatasetResponse', describeDatasetResponse_creationTime - When the dataset was created.

$sel:status: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: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.

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

$sel:domain:DescribeDatasetResponse', describeDatasetResponse_domain - The domain associated with the dataset.

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

$sel:datasetType:DescribeDatasetResponse', describeDatasetResponse_datasetType - The dataset type.

$sel:datasetName:DescribeDatasetResponse', describeDatasetResponse_datasetName - The name of 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.

$sel:lastModificationTime: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.

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

ListForecasts (Paginated)

data ListForecasts Source #

See: newListForecasts smart constructor.

Constructors

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

Instances

Instances details

Eq ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods (==) :: ListForecasts -> ListForecasts -> Bool # (/=) :: ListForecasts -> ListForecasts -> Bool #
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 #
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 #
NFData ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods rnf :: ListForecasts -> () #
Hashable ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods hashWithSalt :: Int -> ListForecasts -> Int # hash :: ListForecasts -> Int #
ToJSON ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods toJSON :: ListForecasts -> Value # toEncoding :: ListForecasts -> Encoding # toJSONList :: [ListForecasts] -> Value # toEncodingList :: [ListForecasts] -> Encoding #
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 :: ListForecasts -> Request ListForecasts # response :: MonadResource m => Logger -> Service -> Proxy ListForecasts -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListForecasts))) #
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 #
type Rep ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts type Rep ListForecasts = D1 ('MetaData "ListForecasts" "Amazonka.Forecast.ListForecasts" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ListForecasts'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))
type AWSResponse ListForecasts Source #
Instance details Defined in Amazonka.Forecast.ListForecasts type AWSResponse ListForecasts = ListForecastsResponse

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:nextToken: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.

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

data ListForecastsResponse Source #

See: newListForecastsResponse smart constructor.

Constructors

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

Instances

Instances details

Eq ListForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods (==) :: ListForecastsResponse -> ListForecastsResponse -> Bool # (/=) :: ListForecastsResponse -> ListForecastsResponse -> Bool #
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 #
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 #
NFData ListForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecasts Methods rnf :: ListForecastsResponse -> () #
type Rep ListForecastsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecasts type Rep ListForecastsResponse = D1 ('MetaData "ListForecastsResponse" "Amazonka.Forecast.ListForecasts" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

$sel:nextToken: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.

ListTagsForResource

data ListTagsForResource Source #

See: newListTagsForResource smart constructor.

Constructors

ListTagsForResource' Text

Instances

Instances details

Eq ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods (==) :: ListTagsForResource -> ListTagsForResource -> Bool # (/=) :: ListTagsForResource -> ListTagsForResource -> Bool #
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 #
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 #
NFData ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods rnf :: ListTagsForResource -> () #
Hashable ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods hashWithSalt :: Int -> ListTagsForResource -> Int # hash :: ListTagsForResource -> Int #
ToJSON ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods toJSON :: ListTagsForResource -> Value # toEncoding :: ListTagsForResource -> Encoding # toJSONList :: [ListTagsForResource] -> Value # toEncodingList :: [ListTagsForResource] -> Encoding #
AWSRequest ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Associated Types type AWSResponse ListTagsForResource # Methods request :: ListTagsForResource -> Request ListTagsForResource # response :: MonadResource m => Logger -> Service -> Proxy ListTagsForResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListTagsForResource))) #
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 #
type Rep ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource type Rep ListTagsForResource = D1 ('MetaData "ListTagsForResource" "Amazonka.Forecast.ListTagsForResource" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ListTagsForResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse ListTagsForResource Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource type AWSResponse ListTagsForResource = ListTagsForResourceResponse

newListTagsForResource Source #

Arguments

:: Text	`$sel:resourceArn: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:

$sel:resourceArn:ListTagsForResource', listTagsForResource_resourceArn - The Amazon Resource Name (ARN) that identifies the resource for which to list the tags. Currently, the supported resources are Forecast dataset groups, datasets, dataset import jobs, predictors, forecasts, and forecast export jobs.

data ListTagsForResourceResponse Source #

See: newListTagsForResourceResponse smart constructor.

Constructors

ListTagsForResourceResponse' (Maybe [Tag]) Int

Instances

Instances details

Eq ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods (==) :: ListTagsForResourceResponse -> ListTagsForResourceResponse -> Bool # (/=) :: ListTagsForResourceResponse -> ListTagsForResourceResponse -> Bool #
Show ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods showsPrec :: Int -> ListTagsForResourceResponse -> ShowS # show :: ListTagsForResourceResponse -> String # showList :: [ListTagsForResourceResponse] -> ShowS #
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 #
NFData ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource Methods rnf :: ListTagsForResourceResponse -> () #
type Rep ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Forecast.ListTagsForResource type Rep ListTagsForResourceResponse = D1 ('MetaData "ListTagsForResourceResponse" "Amazonka.Forecast.ListTagsForResource" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

StopResource

data StopResource Source #

See: newStopResource smart constructor.

Constructors

StopResource' Text

Instances

Instances details

Eq StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods (==) :: StopResource -> StopResource -> Bool # (/=) :: StopResource -> StopResource -> Bool #
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 #
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 #
NFData StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods rnf :: StopResource -> () #
Hashable StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods hashWithSalt :: Int -> StopResource -> Int # hash :: StopResource -> Int #
ToJSON StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods toJSON :: StopResource -> Value # toEncoding :: StopResource -> Encoding # toJSONList :: [StopResource] -> Value # toEncodingList :: [StopResource] -> Encoding #
AWSRequest StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource Associated Types type AWSResponse StopResource # Methods request :: StopResource -> Request StopResource # response :: MonadResource m => Logger -> Service -> Proxy StopResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StopResource))) #
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 #
type Rep StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource type Rep StopResource = D1 ('MetaData "StopResource" "Amazonka.Forecast.StopResource" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "StopResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse StopResource Source #
Instance details Defined in Amazonka.Forecast.StopResource type AWSResponse StopResource = StopResourceResponse

newStopResource Source #

Arguments

:: Text	`$sel:resourceArn: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:

$sel:resourceArn:StopResource', stopResource_resourceArn - The Amazon Resource Name (ARN) that identifies the resource to stop. The supported ARNs are DatasetImportJobArn, PredictorArn, PredictorBacktestExportJobArn, ForecastArn, and ForecastExportJobArn.

data StopResourceResponse Source #

See: newStopResourceResponse smart constructor.

Constructors

StopResourceResponse'

Instances

Instances details

Eq StopResourceResponse Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods (==) :: StopResourceResponse -> StopResourceResponse -> Bool # (/=) :: StopResourceResponse -> StopResourceResponse -> Bool #
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 #
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 #
NFData StopResourceResponse Source #
Instance details Defined in Amazonka.Forecast.StopResource Methods rnf :: StopResourceResponse -> () #
type Rep StopResourceResponse Source #
Instance details Defined in Amazonka.Forecast.StopResource type Rep StopResourceResponse = D1 ('MetaData "StopResourceResponse" "Amazonka.Forecast.StopResource" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

DescribeDatasetImportJob

data DescribeDatasetImportJob Source #

See: newDescribeDatasetImportJob smart constructor.

Constructors

DescribeDatasetImportJob' Text

Instances

Instances details

Eq DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods (==) :: DescribeDatasetImportJob -> DescribeDatasetImportJob -> Bool # (/=) :: DescribeDatasetImportJob -> DescribeDatasetImportJob -> Bool #
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 #
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 #
NFData DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods rnf :: DescribeDatasetImportJob -> () #
Hashable DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods hashWithSalt :: Int -> DescribeDatasetImportJob -> Int # hash :: DescribeDatasetImportJob -> Int #
ToJSON DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods toJSON :: DescribeDatasetImportJob -> Value # toEncoding :: DescribeDatasetImportJob -> Encoding # toJSONList :: [DescribeDatasetImportJob] -> Value # toEncodingList :: [DescribeDatasetImportJob] -> Encoding #
AWSRequest DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Associated Types type AWSResponse DescribeDatasetImportJob # Methods request :: DescribeDatasetImportJob -> Request DescribeDatasetImportJob # response :: MonadResource m => Logger -> Service -> Proxy DescribeDatasetImportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeDatasetImportJob))) #
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 #
type Rep DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob type Rep DescribeDatasetImportJob = D1 ('MetaData "DescribeDatasetImportJob" "Amazonka.Forecast.DescribeDatasetImportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribeDatasetImportJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetImportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DescribeDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob type AWSResponse DescribeDatasetImportJob = DescribeDatasetImportJobResponse

newDescribeDatasetImportJob Source #

Arguments

:: Text	`$sel:datasetImportJobArn: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:

$sel:datasetImportJobArn: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 Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Double) (Maybe Integer) (Maybe (HashMap Text Statistics)) (Maybe DataSource) (Maybe Text) (Maybe Bool) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) Int

Instances

Instances details

Eq DescribeDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods (==) :: DescribeDatasetImportJobResponse -> DescribeDatasetImportJobResponse -> Bool # (/=) :: DescribeDatasetImportJobResponse -> DescribeDatasetImportJobResponse -> Bool #
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 #
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 #
NFData DescribeDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob Methods rnf :: DescribeDatasetImportJobResponse -> () #
type Rep DescribeDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetImportJob type Rep DescribeDatasetImportJobResponse = D1 ('MetaData "DescribeDatasetImportJobResponse" "Amazonka.Forecast.DescribeDatasetImportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribeDatasetImportJobResponse'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "datasetImportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "timestampFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "dataSize") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (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 "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataSource)) :: S1 ('MetaSel ('Just "datasetImportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "useGeolocationForTimeZone") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "geolocationFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "timeZone") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: 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:

$sel:creationTime:DescribeDatasetImportJobResponse', describeDatasetImportJobResponse_creationTime - When the dataset import job was created.

$sel:status: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:datasetImportJobName:DescribeDatasetImportJobResponse', describeDatasetImportJobResponse_datasetImportJobName - The name of the dataset import job.

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

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

$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.

$sel:dataSource: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.

$sel:datasetImportJobArn:DescribeDatasetImportJob', describeDatasetImportJobResponse_datasetImportJobArn - The ARN of the dataset import job.

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

$sel:message:DescribeDatasetImportJobResponse', describeDatasetImportJobResponse_message - If an error occurred, an informational message about the error.

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

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

$sel:lastModificationTime: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.

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

DescribeForecastExportJob

data DescribeForecastExportJob Source #

See: newDescribeForecastExportJob smart constructor.

Constructors

DescribeForecastExportJob' Text

Instances

Instances details

Eq DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods (==) :: DescribeForecastExportJob -> DescribeForecastExportJob -> Bool # (/=) :: DescribeForecastExportJob -> DescribeForecastExportJob -> Bool #
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 #
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 #
NFData DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods rnf :: DescribeForecastExportJob -> () #
Hashable DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods hashWithSalt :: Int -> DescribeForecastExportJob -> Int # hash :: DescribeForecastExportJob -> Int #
ToJSON DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods toJSON :: DescribeForecastExportJob -> Value # toEncoding :: DescribeForecastExportJob -> Encoding # toJSONList :: [DescribeForecastExportJob] -> Value # toEncodingList :: [DescribeForecastExportJob] -> Encoding #
AWSRequest DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Associated Types type AWSResponse DescribeForecastExportJob # Methods request :: DescribeForecastExportJob -> Request DescribeForecastExportJob # response :: MonadResource m => Logger -> Service -> Proxy DescribeForecastExportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeForecastExportJob))) #
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 #
type Rep DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob type Rep DescribeForecastExportJob = D1 ('MetaData "DescribeForecastExportJob" "Amazonka.Forecast.DescribeForecastExportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribeForecastExportJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "forecastExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DescribeForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob type AWSResponse DescribeForecastExportJob = DescribeForecastExportJobResponse

newDescribeForecastExportJob Source #

Arguments

:: Text	`$sel:forecastExportJobArn: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:

$sel:forecastExportJobArn: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 Text) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) Int

Instances

Instances details

Eq DescribeForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods (==) :: DescribeForecastExportJobResponse -> DescribeForecastExportJobResponse -> Bool # (/=) :: DescribeForecastExportJobResponse -> DescribeForecastExportJobResponse -> Bool #
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 #
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 #
NFData DescribeForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob Methods rnf :: DescribeForecastExportJobResponse -> () #
type Rep DescribeForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecastExportJob type Rep DescribeForecastExportJobResponse = D1 ('MetaData "DescribeForecastExportJobResponse" "Amazonka.Forecast.DescribeForecastExportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribeForecastExportJobResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataDestination)) :: S1 ('MetaSel ('Just "forecastExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "forecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "forecastExportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: 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:

$sel:creationTime:DescribeForecastExportJobResponse', describeForecastExportJobResponse_creationTime - When the forecast export job was created.

$sel:status: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:destination:DescribeForecastExportJobResponse', describeForecastExportJobResponse_destination - The path to the Amazon Simple Storage Service (Amazon S3) bucket where the forecast is exported.

$sel:forecastExportJobArn:DescribeForecastExportJob', describeForecastExportJobResponse_forecastExportJobArn - The ARN of the forecast export job.

$sel:forecastArn:DescribeForecastExportJobResponse', describeForecastExportJobResponse_forecastArn - The Amazon Resource Name (ARN) of the exported forecast.

$sel:forecastExportJobName:DescribeForecastExportJobResponse', describeForecastExportJobResponse_forecastExportJobName - The name of the forecast export job.

$sel:message:DescribeForecastExportJobResponse', describeForecastExportJobResponse_message - If an error occurred, an informational message about the error.

$sel:lastModificationTime: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.

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

DescribePredictor

data DescribePredictor Source #

See: newDescribePredictor smart constructor.

Constructors

DescribePredictor' Text

Instances

Instances details

Eq DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods (==) :: DescribePredictor -> DescribePredictor -> Bool # (/=) :: DescribePredictor -> DescribePredictor -> Bool #
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 #
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 #
NFData DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods rnf :: DescribePredictor -> () #
Hashable DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods hashWithSalt :: Int -> DescribePredictor -> Int # hash :: DescribePredictor -> Int #
ToJSON DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods toJSON :: DescribePredictor -> Value # toEncoding :: DescribePredictor -> Encoding # toJSONList :: [DescribePredictor] -> Value # toEncodingList :: [DescribePredictor] -> Encoding #
AWSRequest DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Associated Types type AWSResponse DescribePredictor # Methods request :: DescribePredictor -> Request DescribePredictor # response :: MonadResource m => Logger -> Service -> Proxy DescribePredictor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribePredictor))) #
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 #
type Rep DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor type Rep DescribePredictor = D1 ('MetaData "DescribePredictor" "Amazonka.Forecast.DescribePredictor" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribePredictor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor type AWSResponse DescribePredictor = DescribePredictorResponse

newDescribePredictor Source #

Arguments

:: Text	`$sel:predictorArn: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:

$sel:predictorArn: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 POSIX) (Maybe Int) (Maybe Text) (Maybe Bool) (Maybe [Text]) (Maybe (HashMap Text Text)) (Maybe Text) (Maybe HyperParameterTuningJobConfig) (Maybe Text) (Maybe OptimizationMetric) (Maybe PredictorExecutionDetails) (Maybe [Text]) (Maybe Integer) (Maybe AutoMLOverrideStrategy) (Maybe EvaluationParameters) (Maybe InputDataConfig) (Maybe Text) (Maybe FeaturizationConfig) (Maybe EncryptionConfig) (Maybe (NonEmpty Text)) (Maybe Text) (Maybe Bool) (Maybe POSIX) Int

Instances

Instances details

Eq DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods (==) :: DescribePredictorResponse -> DescribePredictorResponse -> Bool # (/=) :: DescribePredictorResponse -> DescribePredictorResponse -> Bool #
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 #
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 #
NFData DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods rnf :: DescribePredictorResponse -> () #
type Rep DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor type Rep DescribePredictorResponse = D1 ('MetaData "DescribePredictorResponse" "Amazonka.Forecast.DescribePredictor" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribePredictorResponse'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "forecastHorizon") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "performAutoML") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: (S1 ('MetaSel ('Just "autoMLAlgorithmArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :: S1 ('MetaSel ('Just "trainingParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))))) :: ((S1 ('MetaSel ('Just "algorithmArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "hPOConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobConfig)) :: S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "optimizationMetric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OptimizationMetric)) :: (S1 ('MetaSel ('Just "predictorExecutionDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PredictorExecutionDetails)) :: S1 ('MetaSel ('Just "datasetImportJobArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])))))) :: (((S1 ('MetaSel ('Just "estimatedTimeRemainingInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: (S1 ('MetaSel ('Just "autoMLOverrideStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLOverrideStrategy)) :: S1 ('MetaSel ('Just "evaluationParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EvaluationParameters)))) :: (S1 ('MetaSel ('Just "inputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InputDataConfig)) :: (S1 ('MetaSel ('Just "predictorName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "featurizationConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeaturizationConfig))))) :: ((S1 ('MetaSel ('Just "encryptionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EncryptionConfig)) :: (S1 ('MetaSel ('Just "forecastTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "performHPO") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: (S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: 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:

$sel:creationTime:DescribePredictorResponse', describePredictorResponse_creationTime - When the model training task was created.

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

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

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

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

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

$sel:predictorArn:DescribePredictor', describePredictorResponse_predictorArn - The ARN of the predictor.

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

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

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

$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.

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

$sel:predictorName:DescribePredictorResponse', describePredictorResponse_predictorName - The name of the predictor.

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

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

$sel:message:DescribePredictorResponse', describePredictorResponse_message - If an error occurred, an informational message about the error.

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

$sel:lastModificationTime: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.

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

DeleteDataset

data DeleteDataset Source #

See: newDeleteDataset smart constructor.

Constructors

DeleteDataset' Text

Instances

Instances details

Eq DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods (==) :: DeleteDataset -> DeleteDataset -> Bool # (/=) :: DeleteDataset -> DeleteDataset -> Bool #
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 #
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 #
NFData DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods rnf :: DeleteDataset -> () #
Hashable DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods hashWithSalt :: Int -> DeleteDataset -> Int # hash :: DeleteDataset -> Int #
ToJSON DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods toJSON :: DeleteDataset -> Value # toEncoding :: DeleteDataset -> Encoding # toJSONList :: [DeleteDataset] -> Value # toEncodingList :: [DeleteDataset] -> Encoding #
AWSRequest DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Associated Types type AWSResponse DeleteDataset # Methods request :: DeleteDataset -> Request DeleteDataset # response :: MonadResource m => Logger -> Service -> Proxy DeleteDataset -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteDataset))) #
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 #
type Rep DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset type Rep DeleteDataset = D1 ('MetaData "DeleteDataset" "Amazonka.Forecast.DeleteDataset" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DeleteDataset'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DeleteDataset Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset type AWSResponse DeleteDataset = DeleteDatasetResponse

newDeleteDataset Source #

Arguments

:: Text	`$sel:datasetArn: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:

$sel:datasetArn: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

Eq DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods (==) :: DeleteDatasetResponse -> DeleteDatasetResponse -> Bool # (/=) :: DeleteDatasetResponse -> DeleteDatasetResponse -> Bool #
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 #
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 #
NFData DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset Methods rnf :: DeleteDatasetResponse -> () #
type Rep DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDataset type Rep DeleteDatasetResponse = D1 ('MetaData "DeleteDatasetResponse" "Amazonka.Forecast.DeleteDataset" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

DescribeForecast

data DescribeForecast Source #

See: newDescribeForecast smart constructor.

Constructors

DescribeForecast' Text

Instances

Instances details

Eq DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods (==) :: DescribeForecast -> DescribeForecast -> Bool # (/=) :: DescribeForecast -> DescribeForecast -> Bool #
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 #
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 #
NFData DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods rnf :: DescribeForecast -> () #
Hashable DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods hashWithSalt :: Int -> DescribeForecast -> Int # hash :: DescribeForecast -> Int #
ToJSON DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods toJSON :: DescribeForecast -> Value # toEncoding :: DescribeForecast -> Encoding # toJSONList :: [DescribeForecast] -> Value # toEncodingList :: [DescribeForecast] -> Encoding #
AWSRequest DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Associated Types type AWSResponse DescribeForecast # Methods request :: DescribeForecast -> Request DescribeForecast # response :: MonadResource m => Logger -> Service -> Proxy DescribeForecast -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeForecast))) #
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 #
type Rep DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast type Rep DescribeForecast = D1 ('MetaData "DescribeForecast" "Amazonka.Forecast.DescribeForecast" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribeForecast'" 'PrefixI 'True) (S1 ('MetaSel ('Just "forecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DescribeForecast Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast type AWSResponse DescribeForecast = DescribeForecastResponse

newDescribeForecast Source #

Arguments

:: Text	`$sel:forecastArn: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:

$sel:forecastArn: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 Text) (Maybe Text) (Maybe Integer) (Maybe Text) (Maybe (NonEmpty Text)) (Maybe Text) (Maybe Text) (Maybe POSIX) Int

Instances

Instances details

Eq DescribeForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods (==) :: DescribeForecastResponse -> DescribeForecastResponse -> Bool # (/=) :: DescribeForecastResponse -> DescribeForecastResponse -> Bool #
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 #
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 #
NFData DescribeForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast Methods rnf :: DescribeForecastResponse -> () #
type Rep DescribeForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeForecast type Rep DescribeForecastResponse = D1 ('MetaData "DescribeForecastResponse" "Amazonka.Forecast.DescribeForecast" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribeForecastResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "forecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "estimatedTimeRemainingInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))) :: ((S1 ('MetaSel ('Just "forecastName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "forecastTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: 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:

$sel:creationTime:DescribeForecastResponse', describeForecastResponse_creationTime - When the forecast creation task was created.

$sel:status: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:predictorArn:DescribeForecastResponse', describeForecastResponse_predictorArn - The ARN of the predictor used to generate the forecast.

$sel:forecastArn:DescribeForecast', describeForecastResponse_forecastArn - The forecast ARN as specified in the request.

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

$sel:forecastName:DescribeForecastResponse', describeForecastResponse_forecastName - The name of the forecast.

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

$sel:datasetGroupArn:DescribeForecastResponse', describeForecastResponse_datasetGroupArn - The ARN of the dataset group that provided the data used to train the predictor.

$sel:message:DescribeForecastResponse', describeForecastResponse_message - If an error occurred, an informational message about the error.

$sel:lastModificationTime: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.

$sel:httpStatus:DescribeForecastResponse', describeForecastResponse_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

Eq CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods (==) :: CreateDataset -> CreateDataset -> Bool # (/=) :: CreateDataset -> CreateDataset -> Bool #
Show CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods showsPrec :: Int -> CreateDataset -> ShowS # show :: CreateDataset -> String # showList :: [CreateDataset] -> ShowS #
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 #
NFData CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods rnf :: CreateDataset -> () #
Hashable CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods hashWithSalt :: Int -> CreateDataset -> Int # hash :: CreateDataset -> Int #
ToJSON CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods toJSON :: CreateDataset -> Value # toEncoding :: CreateDataset -> Encoding # toJSONList :: [CreateDataset] -> Value # toEncodingList :: [CreateDataset] -> Encoding #
AWSRequest CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Associated Types type AWSResponse CreateDataset # Methods request :: CreateDataset -> Request CreateDataset # response :: MonadResource m => Logger -> Service -> Proxy CreateDataset -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateDataset))) #
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 #
type Rep CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset type Rep CreateDataset = D1 ('MetaData "CreateDataset" "Amazonka.Forecast.CreateDataset" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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)))))
type AWSResponse CreateDataset Source #
Instance details Defined in Amazonka.Forecast.CreateDataset type AWSResponse CreateDataset = CreateDatasetResponse

newCreateDataset Source #

Arguments

:: Text	`$sel:datasetName:CreateDataset'`
-> Domain	`$sel:domain:CreateDataset'`
-> DatasetType	`$sel:datasetType:CreateDataset'`
-> Schema	`$sel: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.

$sel:datasetName:CreateDataset', createDataset_datasetName - A name for the dataset.

$sel:domain: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 howitworks-datasets-groups.

$sel:datasetType:CreateDataset', createDataset_datasetType - The dataset type. Valid values depend on the chosen Domain.

$sel:schema: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 howitworks-domains-ds-types.

data CreateDatasetResponse Source #

See: newCreateDatasetResponse smart constructor.

Constructors

CreateDatasetResponse' (Maybe Text) Int

Instances

Instances details

Eq CreateDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods (==) :: CreateDatasetResponse -> CreateDatasetResponse -> Bool # (/=) :: CreateDatasetResponse -> CreateDatasetResponse -> Bool #
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 #
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 #
NFData CreateDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDataset Methods rnf :: CreateDatasetResponse -> () #
type Rep CreateDatasetResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDataset type Rep CreateDatasetResponse = D1 ('MetaData "CreateDatasetResponse" "Amazonka.Forecast.CreateDataset" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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:

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

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

DeleteForecastExportJob

data DeleteForecastExportJob Source #

See: newDeleteForecastExportJob smart constructor.

Constructors

DeleteForecastExportJob' Text

Instances

Instances details

Eq DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods (==) :: DeleteForecastExportJob -> DeleteForecastExportJob -> Bool # (/=) :: DeleteForecastExportJob -> DeleteForecastExportJob -> Bool #
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 #
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 #
NFData DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods rnf :: DeleteForecastExportJob -> () #
Hashable DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods hashWithSalt :: Int -> DeleteForecastExportJob -> Int # hash :: DeleteForecastExportJob -> Int #
ToJSON DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods toJSON :: DeleteForecastExportJob -> Value # toEncoding :: DeleteForecastExportJob -> Encoding # toJSONList :: [DeleteForecastExportJob] -> Value # toEncodingList :: [DeleteForecastExportJob] -> Encoding #
AWSRequest DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Associated Types type AWSResponse DeleteForecastExportJob # Methods request :: DeleteForecastExportJob -> Request DeleteForecastExportJob # response :: MonadResource m => Logger -> Service -> Proxy DeleteForecastExportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteForecastExportJob))) #
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 #
type Rep DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob type Rep DeleteForecastExportJob = D1 ('MetaData "DeleteForecastExportJob" "Amazonka.Forecast.DeleteForecastExportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DeleteForecastExportJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "forecastExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DeleteForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob type AWSResponse DeleteForecastExportJob = DeleteForecastExportJobResponse

newDeleteForecastExportJob Source #

Arguments

:: Text	`$sel:forecastExportJobArn: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:

$sel:forecastExportJobArn: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

Eq DeleteForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods (==) :: DeleteForecastExportJobResponse -> DeleteForecastExportJobResponse -> Bool # (/=) :: DeleteForecastExportJobResponse -> DeleteForecastExportJobResponse -> Bool #
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 #
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 #
NFData DeleteForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob Methods rnf :: DeleteForecastExportJobResponse -> () #
type Rep DeleteForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecastExportJob type Rep DeleteForecastExportJobResponse = D1 ('MetaData "DeleteForecastExportJobResponse" "Amazonka.Forecast.DeleteForecastExportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

DeletePredictor

data DeletePredictor Source #

See: newDeletePredictor smart constructor.

Constructors

DeletePredictor' Text

Instances

Instances details

Eq DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods (==) :: DeletePredictor -> DeletePredictor -> Bool # (/=) :: DeletePredictor -> DeletePredictor -> Bool #
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 #
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 #
NFData DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods rnf :: DeletePredictor -> () #
Hashable DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods hashWithSalt :: Int -> DeletePredictor -> Int # hash :: DeletePredictor -> Int #
ToJSON DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods toJSON :: DeletePredictor -> Value # toEncoding :: DeletePredictor -> Encoding # toJSONList :: [DeletePredictor] -> Value # toEncodingList :: [DeletePredictor] -> Encoding #
AWSRequest DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Associated Types type AWSResponse DeletePredictor # Methods request :: DeletePredictor -> Request DeletePredictor # response :: MonadResource m => Logger -> Service -> Proxy DeletePredictor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeletePredictor))) #
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 #
type Rep DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor type Rep DeletePredictor = D1 ('MetaData "DeletePredictor" "Amazonka.Forecast.DeletePredictor" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DeletePredictor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DeletePredictor Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor type AWSResponse DeletePredictor = DeletePredictorResponse

newDeletePredictor Source #

Arguments

:: Text	`$sel:predictorArn: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:

$sel:predictorArn: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

Eq DeletePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods (==) :: DeletePredictorResponse -> DeletePredictorResponse -> Bool # (/=) :: DeletePredictorResponse -> DeletePredictorResponse -> Bool #
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 #
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 #
NFData DeletePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor Methods rnf :: DeletePredictorResponse -> () #
type Rep DeletePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictor type Rep DeletePredictorResponse = D1 ('MetaData "DeletePredictorResponse" "Amazonka.Forecast.DeletePredictor" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

ListDatasetImportJobs (Paginated)

data ListDatasetImportJobs Source #

See: newListDatasetImportJobs smart constructor.

Constructors

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

Instances

Instances details

Eq ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods (==) :: ListDatasetImportJobs -> ListDatasetImportJobs -> Bool # (/=) :: ListDatasetImportJobs -> ListDatasetImportJobs -> Bool #
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 #
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 #
NFData ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods rnf :: ListDatasetImportJobs -> () #
Hashable ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods hashWithSalt :: Int -> ListDatasetImportJobs -> Int # hash :: ListDatasetImportJobs -> Int #
ToJSON ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods toJSON :: ListDatasetImportJobs -> Value # toEncoding :: ListDatasetImportJobs -> Encoding # toJSONList :: [ListDatasetImportJobs] -> Value # toEncodingList :: [ListDatasetImportJobs] -> Encoding #
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 :: ListDatasetImportJobs -> Request ListDatasetImportJobs # response :: MonadResource m => Logger -> Service -> Proxy ListDatasetImportJobs -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListDatasetImportJobs))) #
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 #
type Rep ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs type Rep ListDatasetImportJobs = D1 ('MetaData "ListDatasetImportJobs" "Amazonka.Forecast.ListDatasetImportJobs" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ListDatasetImportJobs'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))
type AWSResponse ListDatasetImportJobs Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs type AWSResponse ListDatasetImportJobs = ListDatasetImportJobsResponse

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:nextToken: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.

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

data ListDatasetImportJobsResponse Source #

See: newListDatasetImportJobsResponse smart constructor.

Constructors

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

Instances

Instances details

Eq ListDatasetImportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods (==) :: ListDatasetImportJobsResponse -> ListDatasetImportJobsResponse -> Bool # (/=) :: ListDatasetImportJobsResponse -> ListDatasetImportJobsResponse -> Bool #
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 #
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 #
NFData ListDatasetImportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs Methods rnf :: ListDatasetImportJobsResponse -> () #
type Rep ListDatasetImportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasetImportJobs type Rep ListDatasetImportJobsResponse = D1 ('MetaData "ListDatasetImportJobsResponse" "Amazonka.Forecast.ListDatasetImportJobs" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

$sel:nextToken: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.

DeleteDatasetImportJob

data DeleteDatasetImportJob Source #

See: newDeleteDatasetImportJob smart constructor.

Constructors

DeleteDatasetImportJob' Text

Instances

Instances details

Eq DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods (==) :: DeleteDatasetImportJob -> DeleteDatasetImportJob -> Bool # (/=) :: DeleteDatasetImportJob -> DeleteDatasetImportJob -> Bool #
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 #
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 #
NFData DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods rnf :: DeleteDatasetImportJob -> () #
Hashable DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods hashWithSalt :: Int -> DeleteDatasetImportJob -> Int # hash :: DeleteDatasetImportJob -> Int #
ToJSON DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods toJSON :: DeleteDatasetImportJob -> Value # toEncoding :: DeleteDatasetImportJob -> Encoding # toJSONList :: [DeleteDatasetImportJob] -> Value # toEncodingList :: [DeleteDatasetImportJob] -> Encoding #
AWSRequest DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Associated Types type AWSResponse DeleteDatasetImportJob # Methods request :: DeleteDatasetImportJob -> Request DeleteDatasetImportJob # response :: MonadResource m => Logger -> Service -> Proxy DeleteDatasetImportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteDatasetImportJob))) #
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 #
type Rep DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob type Rep DeleteDatasetImportJob = D1 ('MetaData "DeleteDatasetImportJob" "Amazonka.Forecast.DeleteDatasetImportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DeleteDatasetImportJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetImportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DeleteDatasetImportJob Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob type AWSResponse DeleteDatasetImportJob = DeleteDatasetImportJobResponse

newDeleteDatasetImportJob Source #

Arguments

:: Text	`$sel:datasetImportJobArn: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:

$sel:datasetImportJobArn: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

Eq DeleteDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods (==) :: DeleteDatasetImportJobResponse -> DeleteDatasetImportJobResponse -> Bool # (/=) :: DeleteDatasetImportJobResponse -> DeleteDatasetImportJobResponse -> Bool #
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 #
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 #
NFData DeleteDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob Methods rnf :: DeleteDatasetImportJobResponse -> () #
type Rep DeleteDatasetImportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetImportJob type Rep DeleteDatasetImportJobResponse = D1 ('MetaData "DeleteDatasetImportJobResponse" "Amazonka.Forecast.DeleteDatasetImportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

GetAccuracyMetrics

data GetAccuracyMetrics Source #

See: newGetAccuracyMetrics smart constructor.

Constructors

GetAccuracyMetrics' Text

Instances

Instances details

Eq GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods (==) :: GetAccuracyMetrics -> GetAccuracyMetrics -> Bool # (/=) :: GetAccuracyMetrics -> GetAccuracyMetrics -> Bool #
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 #
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 #
NFData GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods rnf :: GetAccuracyMetrics -> () #
Hashable GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods hashWithSalt :: Int -> GetAccuracyMetrics -> Int # hash :: GetAccuracyMetrics -> Int #
ToJSON GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods toJSON :: GetAccuracyMetrics -> Value # toEncoding :: GetAccuracyMetrics -> Encoding # toJSONList :: [GetAccuracyMetrics] -> Value # toEncodingList :: [GetAccuracyMetrics] -> Encoding #
AWSRequest GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Associated Types type AWSResponse GetAccuracyMetrics # Methods request :: GetAccuracyMetrics -> Request GetAccuracyMetrics # response :: MonadResource m => Logger -> Service -> Proxy GetAccuracyMetrics -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetAccuracyMetrics))) #
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 #
type Rep GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics type Rep GetAccuracyMetrics = D1 ('MetaData "GetAccuracyMetrics" "Amazonka.Forecast.GetAccuracyMetrics" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "GetAccuracyMetrics'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse GetAccuracyMetrics Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics type AWSResponse GetAccuracyMetrics = GetAccuracyMetricsResponse

newGetAccuracyMetrics Source #

Arguments

:: Text	`$sel:predictorArn: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:

$sel:predictorArn: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 [EvaluationResult]) (Maybe OptimizationMetric) (Maybe AutoMLOverrideStrategy) Int

Instances

Instances details

Eq GetAccuracyMetricsResponse Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods (==) :: GetAccuracyMetricsResponse -> GetAccuracyMetricsResponse -> Bool # (/=) :: GetAccuracyMetricsResponse -> GetAccuracyMetricsResponse -> Bool #
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 #
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 #
NFData GetAccuracyMetricsResponse Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics Methods rnf :: GetAccuracyMetricsResponse -> () #
type Rep GetAccuracyMetricsResponse Source #
Instance details Defined in Amazonka.Forecast.GetAccuracyMetrics type Rep GetAccuracyMetricsResponse = D1 ('MetaData "GetAccuracyMetricsResponse" "Amazonka.Forecast.GetAccuracyMetrics" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "GetAccuracyMetricsResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "predictorEvaluationResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [EvaluationResult])) :: S1 ('MetaSel ('Just "optimizationMetric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OptimizationMetric))) :: (S1 ('MetaSel ('Just "autoMLOverrideStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLOverrideStrategy)) :*: 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:predictorEvaluationResults:GetAccuracyMetricsResponse', getAccuracyMetricsResponse_predictorEvaluationResults - An array of results from evaluating the predictor.

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

$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.

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

DeleteDatasetGroup

data DeleteDatasetGroup Source #

See: newDeleteDatasetGroup smart constructor.

Constructors

DeleteDatasetGroup' Text

Instances

Instances details

Eq DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods (==) :: DeleteDatasetGroup -> DeleteDatasetGroup -> Bool # (/=) :: DeleteDatasetGroup -> DeleteDatasetGroup -> Bool #
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 #
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 #
NFData DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods rnf :: DeleteDatasetGroup -> () #
Hashable DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods hashWithSalt :: Int -> DeleteDatasetGroup -> Int # hash :: DeleteDatasetGroup -> Int #
ToJSON DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods toJSON :: DeleteDatasetGroup -> Value # toEncoding :: DeleteDatasetGroup -> Encoding # toJSONList :: [DeleteDatasetGroup] -> Value # toEncodingList :: [DeleteDatasetGroup] -> Encoding #
AWSRequest DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Associated Types type AWSResponse DeleteDatasetGroup # Methods request :: DeleteDatasetGroup -> Request DeleteDatasetGroup # response :: MonadResource m => Logger -> Service -> Proxy DeleteDatasetGroup -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteDatasetGroup))) #
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 #
type Rep DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup type Rep DeleteDatasetGroup = D1 ('MetaData "DeleteDatasetGroup" "Amazonka.Forecast.DeleteDatasetGroup" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DeleteDatasetGroup'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DeleteDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup type AWSResponse DeleteDatasetGroup = DeleteDatasetGroupResponse

newDeleteDatasetGroup Source #

Arguments

:: Text	`$sel:datasetGroupArn: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:

$sel:datasetGroupArn: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

Eq DeleteDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods (==) :: DeleteDatasetGroupResponse -> DeleteDatasetGroupResponse -> Bool # (/=) :: DeleteDatasetGroupResponse -> DeleteDatasetGroupResponse -> Bool #
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 #
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 #
NFData DeleteDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup Methods rnf :: DeleteDatasetGroupResponse -> () #
type Rep DeleteDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteDatasetGroup type Rep DeleteDatasetGroupResponse = D1 ('MetaData "DeleteDatasetGroupResponse" "Amazonka.Forecast.DeleteDatasetGroup" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

UpdateDatasetGroup

data UpdateDatasetGroup Source #

See: newUpdateDatasetGroup smart constructor.

Constructors

UpdateDatasetGroup' Text [Text]

Instances

Instances details

Eq UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods (==) :: UpdateDatasetGroup -> UpdateDatasetGroup -> Bool # (/=) :: UpdateDatasetGroup -> UpdateDatasetGroup -> Bool #
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 #
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 #
NFData UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods rnf :: UpdateDatasetGroup -> () #
Hashable UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods hashWithSalt :: Int -> UpdateDatasetGroup -> Int # hash :: UpdateDatasetGroup -> Int #
ToJSON UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods toJSON :: UpdateDatasetGroup -> Value # toEncoding :: UpdateDatasetGroup -> Encoding # toJSONList :: [UpdateDatasetGroup] -> Value # toEncodingList :: [UpdateDatasetGroup] -> Encoding #
AWSRequest UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Associated Types type AWSResponse UpdateDatasetGroup # Methods request :: UpdateDatasetGroup -> Request UpdateDatasetGroup # response :: MonadResource m => Logger -> Service -> Proxy UpdateDatasetGroup -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse UpdateDatasetGroup))) #
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 #
type Rep UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup type Rep UpdateDatasetGroup = D1 ('MetaData "UpdateDatasetGroup" "Amazonka.Forecast.UpdateDatasetGroup" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "UpdateDatasetGroup'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "datasetArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Text])))
type AWSResponse UpdateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup type AWSResponse UpdateDatasetGroup = UpdateDatasetGroupResponse

newUpdateDatasetGroup Source #

Arguments

:: Text	`$sel:datasetGroupArn: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:

$sel:datasetGroupArn: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

Eq UpdateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods (==) :: UpdateDatasetGroupResponse -> UpdateDatasetGroupResponse -> Bool # (/=) :: UpdateDatasetGroupResponse -> UpdateDatasetGroupResponse -> Bool #
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 #
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 #
NFData UpdateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup Methods rnf :: UpdateDatasetGroupResponse -> () #
type Rep UpdateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.UpdateDatasetGroup type Rep UpdateDatasetGroupResponse = D1 ('MetaData "UpdateDatasetGroupResponse" "Amazonka.Forecast.UpdateDatasetGroup" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

CreateForecastExportJob

data CreateForecastExportJob Source #

See: newCreateForecastExportJob smart constructor.

Constructors

CreateForecastExportJob' (Maybe [Tag]) Text Text DataDestination

Instances

Instances details

Eq CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods (==) :: CreateForecastExportJob -> CreateForecastExportJob -> Bool # (/=) :: CreateForecastExportJob -> CreateForecastExportJob -> Bool #
Show CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods showsPrec :: Int -> CreateForecastExportJob -> ShowS # show :: CreateForecastExportJob -> String # showList :: [CreateForecastExportJob] -> ShowS #
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 #
NFData CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods rnf :: CreateForecastExportJob -> () #
Hashable CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods hashWithSalt :: Int -> CreateForecastExportJob -> Int # hash :: CreateForecastExportJob -> Int #
ToJSON CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods toJSON :: CreateForecastExportJob -> Value # toEncoding :: CreateForecastExportJob -> Encoding # toJSONList :: [CreateForecastExportJob] -> Value # toEncodingList :: [CreateForecastExportJob] -> Encoding #
AWSRequest CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Associated Types type AWSResponse CreateForecastExportJob # Methods request :: CreateForecastExportJob -> Request CreateForecastExportJob # response :: MonadResource m => Logger -> Service -> Proxy CreateForecastExportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateForecastExportJob))) #
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 #
type Rep CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob type Rep CreateForecastExportJob = D1 ('MetaData "CreateForecastExportJob" "Amazonka.Forecast.CreateForecastExportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "CreateForecastExportJob'" 'PrefixI 'True) ((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))))
type AWSResponse CreateForecastExportJob Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob type AWSResponse CreateForecastExportJob = CreateForecastExportJobResponse

newCreateForecastExportJob Source #

Arguments

:: Text	`$sel:forecastExportJobName:CreateForecastExportJob'`
-> Text	`$sel:forecastArn:CreateForecastExportJob'`
-> DataDestination	`$sel:destination: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:

$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.

$sel:forecastExportJobName:CreateForecastExportJob', createForecastExportJob_forecastExportJobName - The name for the forecast export job.

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

$sel:destination: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

Eq CreateForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods (==) :: CreateForecastExportJobResponse -> CreateForecastExportJobResponse -> Bool # (/=) :: CreateForecastExportJobResponse -> CreateForecastExportJobResponse -> Bool #
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 #
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 #
NFData CreateForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob Methods rnf :: CreateForecastExportJobResponse -> () #
type Rep CreateForecastExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecastExportJob type Rep CreateForecastExportJobResponse = D1 ('MetaData "CreateForecastExportJobResponse" "Amazonka.Forecast.CreateForecastExportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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:

$sel:forecastExportJobArn:CreateForecastExportJobResponse', createForecastExportJobResponse_forecastExportJobArn - The Amazon Resource Name (ARN) of the export job.

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

CreatePredictor

data CreatePredictor Source #

See: newCreatePredictor smart constructor.

Constructors

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

Instances

Instances details

Eq CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods (==) :: CreatePredictor -> CreatePredictor -> Bool # (/=) :: CreatePredictor -> CreatePredictor -> Bool #
Show CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods showsPrec :: Int -> CreatePredictor -> ShowS # show :: CreatePredictor -> String # showList :: [CreatePredictor] -> ShowS #
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 #
NFData CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods rnf :: CreatePredictor -> () #
Hashable CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods hashWithSalt :: Int -> CreatePredictor -> Int # hash :: CreatePredictor -> Int #
ToJSON CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods toJSON :: CreatePredictor -> Value # toEncoding :: CreatePredictor -> Encoding # toJSONList :: [CreatePredictor] -> Value # toEncodingList :: [CreatePredictor] -> Encoding #
AWSRequest CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Associated Types type AWSResponse CreatePredictor # Methods request :: CreatePredictor -> Request CreatePredictor # response :: MonadResource m => Logger -> Service -> Proxy CreatePredictor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreatePredictor))) #
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 #
type Rep CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor type Rep CreatePredictor = D1 ('MetaData "CreatePredictor" "Amazonka.Forecast.CreatePredictor" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "CreatePredictor'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "performAutoML") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: (S1 ('MetaSel ('Just "trainingParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: S1 ('MetaSel ('Just "algorithmArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "hPOConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobConfig)) :: S1 ('MetaSel ('Just "optimizationMetric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OptimizationMetric))) :: (S1 ('MetaSel ('Just "autoMLOverrideStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLOverrideStrategy)) :: S1 ('MetaSel ('Just "evaluationParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EvaluationParameters))))) :: (((S1 ('MetaSel ('Just "encryptionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EncryptionConfig)) :: S1 ('MetaSel ('Just "forecastTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text)))) :: (S1 ('MetaSel ('Just "performHPO") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))) :: ((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))))))
type AWSResponse CreatePredictor Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor type AWSResponse CreatePredictor = CreatePredictorResponse

newCreatePredictor Source #

Arguments

:: Text	`$sel:predictorName:CreatePredictor'`
-> Int	`$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:

$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: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.

$sel:algorithmArn: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: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: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: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: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: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: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:predictorName: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

Eq CreatePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods (==) :: CreatePredictorResponse -> CreatePredictorResponse -> Bool # (/=) :: CreatePredictorResponse -> CreatePredictorResponse -> Bool #
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 #
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 #
NFData CreatePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor Methods rnf :: CreatePredictorResponse -> () #
type Rep CreatePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictor type Rep CreatePredictorResponse = D1 ('MetaData "CreatePredictorResponse" "Amazonka.Forecast.CreatePredictor" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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:

$sel:predictorArn:CreatePredictorResponse', createPredictorResponse_predictorArn - The Amazon Resource Name (ARN) of the predictor.

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

ListPredictorBacktestExportJobs (Paginated)

data ListPredictorBacktestExportJobs Source #

See: newListPredictorBacktestExportJobs smart constructor.

Constructors

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

Instances

Instances details

Eq ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods (==) :: ListPredictorBacktestExportJobs -> ListPredictorBacktestExportJobs -> Bool # (/=) :: ListPredictorBacktestExportJobs -> ListPredictorBacktestExportJobs -> Bool #
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 #
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 #
NFData ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods rnf :: ListPredictorBacktestExportJobs -> () #
Hashable ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods hashWithSalt :: Int -> ListPredictorBacktestExportJobs -> Int # hash :: ListPredictorBacktestExportJobs -> Int #
ToJSON ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods toJSON :: ListPredictorBacktestExportJobs -> Value # toEncoding :: ListPredictorBacktestExportJobs -> Encoding # toJSONList :: [ListPredictorBacktestExportJobs] -> Value # toEncodingList :: [ListPredictorBacktestExportJobs] -> Encoding #
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 :: ListPredictorBacktestExportJobs -> Request ListPredictorBacktestExportJobs # response :: MonadResource m => Logger -> Service -> Proxy ListPredictorBacktestExportJobs -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListPredictorBacktestExportJobs))) #
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 #
type Rep ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs type Rep ListPredictorBacktestExportJobs = D1 ('MetaData "ListPredictorBacktestExportJobs" "Amazonka.Forecast.ListPredictorBacktestExportJobs" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ListPredictorBacktestExportJobs'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))
type AWSResponse ListPredictorBacktestExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs type AWSResponse ListPredictorBacktestExportJobs = ListPredictorBacktestExportJobsResponse

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:nextToken: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.

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

data ListPredictorBacktestExportJobsResponse Source #

See: newListPredictorBacktestExportJobsResponse smart constructor.

Constructors

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

Instances

Instances details

Eq ListPredictorBacktestExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods (==) :: ListPredictorBacktestExportJobsResponse -> ListPredictorBacktestExportJobsResponse -> Bool # (/=) :: ListPredictorBacktestExportJobsResponse -> ListPredictorBacktestExportJobsResponse -> Bool #
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 #
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 #
NFData ListPredictorBacktestExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs Methods rnf :: ListPredictorBacktestExportJobsResponse -> () #
type Rep ListPredictorBacktestExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictorBacktestExportJobs type Rep ListPredictorBacktestExportJobsResponse = D1 ('MetaData "ListPredictorBacktestExportJobsResponse" "Amazonka.Forecast.ListPredictorBacktestExportJobs" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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:

$sel:nextToken: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.

DeletePredictorBacktestExportJob

data DeletePredictorBacktestExportJob Source #

See: newDeletePredictorBacktestExportJob smart constructor.

Constructors

DeletePredictorBacktestExportJob' Text

Instances

Instances details

Eq DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods (==) :: DeletePredictorBacktestExportJob -> DeletePredictorBacktestExportJob -> Bool # (/=) :: DeletePredictorBacktestExportJob -> DeletePredictorBacktestExportJob -> Bool #
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 #
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 #
NFData DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods rnf :: DeletePredictorBacktestExportJob -> () #
Hashable DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods hashWithSalt :: Int -> DeletePredictorBacktestExportJob -> Int # hash :: DeletePredictorBacktestExportJob -> Int #
ToJSON DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods toJSON :: DeletePredictorBacktestExportJob -> Value # toEncoding :: DeletePredictorBacktestExportJob -> Encoding # toJSONList :: [DeletePredictorBacktestExportJob] -> Value # toEncodingList :: [DeletePredictorBacktestExportJob] -> Encoding #
AWSRequest DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Associated Types type AWSResponse DeletePredictorBacktestExportJob # Methods request :: DeletePredictorBacktestExportJob -> Request DeletePredictorBacktestExportJob # response :: MonadResource m => Logger -> Service -> Proxy DeletePredictorBacktestExportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeletePredictorBacktestExportJob))) #
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 #
type Rep DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob type Rep DeletePredictorBacktestExportJob = D1 ('MetaData "DeletePredictorBacktestExportJob" "Amazonka.Forecast.DeletePredictorBacktestExportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DeletePredictorBacktestExportJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorBacktestExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DeletePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob type AWSResponse DeletePredictorBacktestExportJob = DeletePredictorBacktestExportJobResponse

newDeletePredictorBacktestExportJob Source #

Arguments

:: Text	`$sel:predictorBacktestExportJobArn: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:

$sel:predictorBacktestExportJobArn: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

Eq DeletePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods (==) :: DeletePredictorBacktestExportJobResponse -> DeletePredictorBacktestExportJobResponse -> Bool # (/=) :: DeletePredictorBacktestExportJobResponse -> DeletePredictorBacktestExportJobResponse -> Bool #
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 #
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 #
NFData DeletePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob Methods rnf :: DeletePredictorBacktestExportJobResponse -> () #
type Rep DeletePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DeletePredictorBacktestExportJob type Rep DeletePredictorBacktestExportJobResponse = D1 ('MetaData "DeletePredictorBacktestExportJobResponse" "Amazonka.Forecast.DeletePredictorBacktestExportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

CreateForecast

data CreateForecast Source #

See: newCreateForecast smart constructor.

Constructors

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

Instances

Instances details

Eq CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods (==) :: CreateForecast -> CreateForecast -> Bool # (/=) :: CreateForecast -> CreateForecast -> Bool #
Show CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods showsPrec :: Int -> CreateForecast -> ShowS # show :: CreateForecast -> String # showList :: [CreateForecast] -> ShowS #
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 #
NFData CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods rnf :: CreateForecast -> () #
Hashable CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods hashWithSalt :: Int -> CreateForecast -> Int # hash :: CreateForecast -> Int #
ToJSON CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods toJSON :: CreateForecast -> Value # toEncoding :: CreateForecast -> Encoding # toJSONList :: [CreateForecast] -> Value # toEncodingList :: [CreateForecast] -> Encoding #
AWSRequest CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Associated Types type AWSResponse CreateForecast # Methods request :: CreateForecast -> Request CreateForecast # response :: MonadResource m => Logger -> Service -> Proxy CreateForecast -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateForecast))) #
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 #
type Rep CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast type Rep CreateForecast = D1 ('MetaData "CreateForecast" "Amazonka.Forecast.CreateForecast" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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 "forecastName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))
type AWSResponse CreateForecast Source #
Instance details Defined in Amazonka.Forecast.CreateForecast type AWSResponse CreateForecast = CreateForecastResponse

newCreateForecast Source #

Arguments

:: Text	`$sel:forecastName:CreateForecast'`
-> Text	`$sel:predictorArn: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 value is ["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:forecastName:CreateForecast', createForecast_forecastName - A name for the forecast.

$sel:predictorArn: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

Eq CreateForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods (==) :: CreateForecastResponse -> CreateForecastResponse -> Bool # (/=) :: CreateForecastResponse -> CreateForecastResponse -> Bool #
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 #
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 #
NFData CreateForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecast Methods rnf :: CreateForecastResponse -> () #
type Rep CreateForecastResponse Source #
Instance details Defined in Amazonka.Forecast.CreateForecast type Rep CreateForecastResponse = D1 ('MetaData "CreateForecastResponse" "Amazonka.Forecast.CreateForecast" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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:

$sel:forecastArn:CreateForecastResponse', createForecastResponse_forecastArn - The Amazon Resource Name (ARN) of the forecast.

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

CreatePredictorBacktestExportJob

data CreatePredictorBacktestExportJob Source #

See: newCreatePredictorBacktestExportJob smart constructor.

Constructors

CreatePredictorBacktestExportJob' (Maybe [Tag]) Text Text DataDestination

Instances

Instances details

Eq CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods (==) :: CreatePredictorBacktestExportJob -> CreatePredictorBacktestExportJob -> Bool # (/=) :: CreatePredictorBacktestExportJob -> CreatePredictorBacktestExportJob -> Bool #
Show CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods showsPrec :: Int -> CreatePredictorBacktestExportJob -> ShowS # show :: CreatePredictorBacktestExportJob -> String # showList :: [CreatePredictorBacktestExportJob] -> ShowS #
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 #
NFData CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods rnf :: CreatePredictorBacktestExportJob -> () #
Hashable CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods hashWithSalt :: Int -> CreatePredictorBacktestExportJob -> Int # hash :: CreatePredictorBacktestExportJob -> Int #
ToJSON CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods toJSON :: CreatePredictorBacktestExportJob -> Value # toEncoding :: CreatePredictorBacktestExportJob -> Encoding # toJSONList :: [CreatePredictorBacktestExportJob] -> Value # toEncodingList :: [CreatePredictorBacktestExportJob] -> Encoding #
AWSRequest CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Associated Types type AWSResponse CreatePredictorBacktestExportJob # Methods request :: CreatePredictorBacktestExportJob -> Request CreatePredictorBacktestExportJob # response :: MonadResource m => Logger -> Service -> Proxy CreatePredictorBacktestExportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreatePredictorBacktestExportJob))) #
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 #
type Rep CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob type Rep CreatePredictorBacktestExportJob = D1 ('MetaData "CreatePredictorBacktestExportJob" "Amazonka.Forecast.CreatePredictorBacktestExportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "CreatePredictorBacktestExportJob'" 'PrefixI 'True) ((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))))
type AWSResponse CreatePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob type AWSResponse CreatePredictorBacktestExportJob = CreatePredictorBacktestExportJobResponse

newCreatePredictorBacktestExportJob Source #

Arguments

:: Text	`$sel:predictorBacktestExportJobName:CreatePredictorBacktestExportJob'`
-> Text	`$sel:predictorArn:CreatePredictorBacktestExportJob'`
-> DataDestination	`$sel:destination: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:

$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.

$sel:predictorBacktestExportJobName:CreatePredictorBacktestExportJob', createPredictorBacktestExportJob_predictorBacktestExportJobName - The name for the backtest export job.

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

$sel:destination:CreatePredictorBacktestExportJob', createPredictorBacktestExportJob_destination - Undocumented member.

data CreatePredictorBacktestExportJobResponse Source #

See: newCreatePredictorBacktestExportJobResponse smart constructor.

Constructors

CreatePredictorBacktestExportJobResponse' (Maybe Text) Int

Instances

Instances details

Eq CreatePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods (==) :: CreatePredictorBacktestExportJobResponse -> CreatePredictorBacktestExportJobResponse -> Bool # (/=) :: CreatePredictorBacktestExportJobResponse -> CreatePredictorBacktestExportJobResponse -> Bool #
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 #
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 #
NFData CreatePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob Methods rnf :: CreatePredictorBacktestExportJobResponse -> () #
type Rep CreatePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.CreatePredictorBacktestExportJob type Rep CreatePredictorBacktestExportJobResponse = D1 ('MetaData "CreatePredictorBacktestExportJobResponse" "Amazonka.Forecast.CreatePredictorBacktestExportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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:

$sel:predictorBacktestExportJobArn: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.

DeleteForecast

data DeleteForecast Source #

See: newDeleteForecast smart constructor.

Constructors

DeleteForecast' Text

Instances

Instances details

Eq DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods (==) :: DeleteForecast -> DeleteForecast -> Bool # (/=) :: DeleteForecast -> DeleteForecast -> Bool #
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 #
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 #
NFData DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods rnf :: DeleteForecast -> () #
Hashable DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods hashWithSalt :: Int -> DeleteForecast -> Int # hash :: DeleteForecast -> Int #
ToJSON DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods toJSON :: DeleteForecast -> Value # toEncoding :: DeleteForecast -> Encoding # toJSONList :: [DeleteForecast] -> Value # toEncodingList :: [DeleteForecast] -> Encoding #
AWSRequest DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Associated Types type AWSResponse DeleteForecast # Methods request :: DeleteForecast -> Request DeleteForecast # response :: MonadResource m => Logger -> Service -> Proxy DeleteForecast -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteForecast))) #
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 #
type Rep DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast type Rep DeleteForecast = D1 ('MetaData "DeleteForecast" "Amazonka.Forecast.DeleteForecast" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DeleteForecast'" 'PrefixI 'True) (S1 ('MetaSel ('Just "forecastArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DeleteForecast Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast type AWSResponse DeleteForecast = DeleteForecastResponse

newDeleteForecast Source #

Arguments

:: Text	`$sel:forecastArn: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:

$sel:forecastArn: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

Eq DeleteForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods (==) :: DeleteForecastResponse -> DeleteForecastResponse -> Bool # (/=) :: DeleteForecastResponse -> DeleteForecastResponse -> Bool #
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 #
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 #
NFData DeleteForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast Methods rnf :: DeleteForecastResponse -> () #
type Rep DeleteForecastResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteForecast type Rep DeleteForecastResponse = D1 ('MetaData "DeleteForecastResponse" "Amazonka.Forecast.DeleteForecast" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

DeleteResourceTree

data DeleteResourceTree Source #

See: newDeleteResourceTree smart constructor.

Constructors

DeleteResourceTree' Text

Instances

Instances details

Eq DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods (==) :: DeleteResourceTree -> DeleteResourceTree -> Bool # (/=) :: DeleteResourceTree -> DeleteResourceTree -> Bool #
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 #
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 #
NFData DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods rnf :: DeleteResourceTree -> () #
Hashable DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods hashWithSalt :: Int -> DeleteResourceTree -> Int # hash :: DeleteResourceTree -> Int #
ToJSON DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods toJSON :: DeleteResourceTree -> Value # toEncoding :: DeleteResourceTree -> Encoding # toJSONList :: [DeleteResourceTree] -> Value # toEncodingList :: [DeleteResourceTree] -> Encoding #
AWSRequest DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Associated Types type AWSResponse DeleteResourceTree # Methods request :: DeleteResourceTree -> Request DeleteResourceTree # response :: MonadResource m => Logger -> Service -> Proxy DeleteResourceTree -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteResourceTree))) #
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 #
type Rep DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree type Rep DeleteResourceTree = D1 ('MetaData "DeleteResourceTree" "Amazonka.Forecast.DeleteResourceTree" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DeleteResourceTree'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DeleteResourceTree Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree type AWSResponse DeleteResourceTree = DeleteResourceTreeResponse

newDeleteResourceTree Source #

Arguments

:: Text	`$sel:resourceArn: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:

$sel:resourceArn: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

Eq DeleteResourceTreeResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods (==) :: DeleteResourceTreeResponse -> DeleteResourceTreeResponse -> Bool # (/=) :: DeleteResourceTreeResponse -> DeleteResourceTreeResponse -> Bool #
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 #
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 #
NFData DeleteResourceTreeResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree Methods rnf :: DeleteResourceTreeResponse -> () #
type Rep DeleteResourceTreeResponse Source #
Instance details Defined in Amazonka.Forecast.DeleteResourceTree type Rep DeleteResourceTreeResponse = D1 ('MetaData "DeleteResourceTreeResponse" "Amazonka.Forecast.DeleteResourceTree" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

DescribeDatasetGroup

data DescribeDatasetGroup Source #

See: newDescribeDatasetGroup smart constructor.

Constructors

DescribeDatasetGroup' Text

Instances

Instances details

Eq DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods (==) :: DescribeDatasetGroup -> DescribeDatasetGroup -> Bool # (/=) :: DescribeDatasetGroup -> DescribeDatasetGroup -> Bool #
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 #
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 #
NFData DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods rnf :: DescribeDatasetGroup -> () #
Hashable DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods hashWithSalt :: Int -> DescribeDatasetGroup -> Int # hash :: DescribeDatasetGroup -> Int #
ToJSON DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods toJSON :: DescribeDatasetGroup -> Value # toEncoding :: DescribeDatasetGroup -> Encoding # toJSONList :: [DescribeDatasetGroup] -> Value # toEncodingList :: [DescribeDatasetGroup] -> Encoding #
AWSRequest DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Associated Types type AWSResponse DescribeDatasetGroup # Methods request :: DescribeDatasetGroup -> Request DescribeDatasetGroup # response :: MonadResource m => Logger -> Service -> Proxy DescribeDatasetGroup -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeDatasetGroup))) #
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 #
type Rep DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup type Rep DescribeDatasetGroup = D1 ('MetaData "DescribeDatasetGroup" "Amazonka.Forecast.DescribeDatasetGroup" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribeDatasetGroup'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DescribeDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup type AWSResponse DescribeDatasetGroup = DescribeDatasetGroupResponse

newDescribeDatasetGroup Source #

Arguments

:: Text	`$sel:datasetGroupArn: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:

$sel:datasetGroupArn: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 Domain) (Maybe Text) (Maybe Text) (Maybe POSIX) Int

Instances

Instances details

Eq DescribeDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods (==) :: DescribeDatasetGroupResponse -> DescribeDatasetGroupResponse -> Bool # (/=) :: DescribeDatasetGroupResponse -> DescribeDatasetGroupResponse -> Bool #
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 #
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 #
NFData DescribeDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup Methods rnf :: DescribeDatasetGroupResponse -> () #
type Rep DescribeDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.DescribeDatasetGroup type Rep DescribeDatasetGroupResponse = D1 ('MetaData "DescribeDatasetGroupResponse" "Amazonka.Forecast.DescribeDatasetGroup" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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 "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Domain)))) :: ((S1 ('MetaSel ('Just "datasetGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: 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:

$sel:creationTime: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.

$sel:status: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:domain:DescribeDatasetGroupResponse', describeDatasetGroupResponse_domain - The domain associated with the dataset group.

$sel:datasetGroupName:DescribeDatasetGroupResponse', describeDatasetGroupResponse_datasetGroupName - The name of the dataset group.

$sel:datasetGroupArn:DescribeDatasetGroup', describeDatasetGroupResponse_datasetGroupArn - The ARN of the dataset group.

$sel:lastModificationTime: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.

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

TagResource

data TagResource Source #

See: newTagResource smart constructor.

Constructors

TagResource' Text [Tag]

Instances

Instances details

Eq TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods (==) :: TagResource -> TagResource -> Bool # (/=) :: TagResource -> TagResource -> Bool #
Show TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods showsPrec :: Int -> TagResource -> ShowS # show :: TagResource -> String # showList :: [TagResource] -> ShowS #
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 #
NFData TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods rnf :: TagResource -> () #
Hashable TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods hashWithSalt :: Int -> TagResource -> Int # hash :: TagResource -> Int #
ToJSON TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods toJSON :: TagResource -> Value # toEncoding :: TagResource -> Encoding # toJSONList :: [TagResource] -> Value # toEncodingList :: [TagResource] -> Encoding #
AWSRequest TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource Associated Types type AWSResponse TagResource # Methods request :: TagResource -> Request TagResource # response :: MonadResource m => Logger -> Service -> Proxy TagResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse TagResource))) #
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 #
type Rep TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource type Rep TagResource = D1 ('MetaData "TagResource" "Amazonka.Forecast.TagResource" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "TagResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Tag])))
type AWSResponse TagResource Source #
Instance details Defined in Amazonka.Forecast.TagResource type AWSResponse TagResource = TagResourceResponse

newTagResource Source #

Arguments

:: Text	`$sel:resourceArn: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:

$sel:resourceArn:TagResource', tagResource_resourceArn - The Amazon Resource Name (ARN) that identifies the resource for which to list the tags. Currently, the supported resources are Forecast dataset groups, datasets, dataset import jobs, predictors, forecasts, and forecast export jobs.

$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

Eq TagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods (==) :: TagResourceResponse -> TagResourceResponse -> Bool # (/=) :: TagResourceResponse -> TagResourceResponse -> Bool #
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 #
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 #
NFData TagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.TagResource Methods rnf :: TagResourceResponse -> () #
type Rep TagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.TagResource type Rep TagResourceResponse = D1 ('MetaData "TagResourceResponse" "Amazonka.Forecast.TagResource" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

ListDatasets (Paginated)

data ListDatasets Source #

See: newListDatasets smart constructor.

Constructors

ListDatasets' (Maybe Text) (Maybe Natural)

Instances

Instances details

Eq ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods (==) :: ListDatasets -> ListDatasets -> Bool # (/=) :: ListDatasets -> ListDatasets -> Bool #
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 #
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 #
NFData ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods rnf :: ListDatasets -> () #
Hashable ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods hashWithSalt :: Int -> ListDatasets -> Int # hash :: ListDatasets -> Int #
ToJSON ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods toJSON :: ListDatasets -> Value # toEncoding :: ListDatasets -> Encoding # toJSONList :: [ListDatasets] -> Value # toEncodingList :: [ListDatasets] -> Encoding #
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 :: ListDatasets -> Request ListDatasets # response :: MonadResource m => Logger -> Service -> Proxy ListDatasets -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListDatasets))) #
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 #
type Rep ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets type Rep ListDatasets = D1 ('MetaData "ListDatasets" "Amazonka.Forecast.ListDatasets" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ListDatasets'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))
type AWSResponse ListDatasets Source #
Instance details Defined in Amazonka.Forecast.ListDatasets type AWSResponse ListDatasets = ListDatasetsResponse

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:nextToken: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.

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

data ListDatasetsResponse Source #

See: newListDatasetsResponse smart constructor.

Constructors

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

Instances

Instances details

Eq ListDatasetsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods (==) :: ListDatasetsResponse -> ListDatasetsResponse -> Bool # (/=) :: ListDatasetsResponse -> ListDatasetsResponse -> Bool #
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 #
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 #
NFData ListDatasetsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasets Methods rnf :: ListDatasetsResponse -> () #
type Rep ListDatasetsResponse Source #
Instance details Defined in Amazonka.Forecast.ListDatasets type Rep ListDatasetsResponse = D1 ('MetaData "ListDatasetsResponse" "Amazonka.Forecast.ListDatasets" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ListDatasetsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "datasets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DatasetSummary])) :: 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:nextToken: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:datasets:ListDatasetsResponse', listDatasetsResponse_datasets - An array of objects that summarize each dataset's properties.

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

DescribePredictorBacktestExportJob

data DescribePredictorBacktestExportJob Source #

See: newDescribePredictorBacktestExportJob smart constructor.

Constructors

DescribePredictorBacktestExportJob' Text

Instances

Instances details

Eq DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods (==) :: DescribePredictorBacktestExportJob -> DescribePredictorBacktestExportJob -> Bool # (/=) :: DescribePredictorBacktestExportJob -> DescribePredictorBacktestExportJob -> Bool #
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 #
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 #
NFData DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods rnf :: DescribePredictorBacktestExportJob -> () #
Hashable DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods hashWithSalt :: Int -> DescribePredictorBacktestExportJob -> Int # hash :: DescribePredictorBacktestExportJob -> Int #
ToJSON DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods toJSON :: DescribePredictorBacktestExportJob -> Value # toEncoding :: DescribePredictorBacktestExportJob -> Encoding # toJSONList :: [DescribePredictorBacktestExportJob] -> Value # toEncodingList :: [DescribePredictorBacktestExportJob] -> Encoding #
AWSRequest DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Associated Types type AWSResponse DescribePredictorBacktestExportJob # Methods request :: DescribePredictorBacktestExportJob -> Request DescribePredictorBacktestExportJob # response :: MonadResource m => Logger -> Service -> Proxy DescribePredictorBacktestExportJob -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribePredictorBacktestExportJob))) #
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 #
type Rep DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob type Rep DescribePredictorBacktestExportJob = D1 ('MetaData "DescribePredictorBacktestExportJob" "Amazonka.Forecast.DescribePredictorBacktestExportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribePredictorBacktestExportJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorBacktestExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DescribePredictorBacktestExportJob Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob type AWSResponse DescribePredictorBacktestExportJob = DescribePredictorBacktestExportJobResponse

newDescribePredictorBacktestExportJob Source #

Arguments

:: Text	`$sel:predictorBacktestExportJobArn: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:

$sel:predictorBacktestExportJobArn: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 Text) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) Int

Instances

Instances details

Eq DescribePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods (==) :: DescribePredictorBacktestExportJobResponse -> DescribePredictorBacktestExportJobResponse -> Bool # (/=) :: DescribePredictorBacktestExportJobResponse -> DescribePredictorBacktestExportJobResponse -> Bool #
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 #
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 #
NFData DescribePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob Methods rnf :: DescribePredictorBacktestExportJobResponse -> () #
type Rep DescribePredictorBacktestExportJobResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictorBacktestExportJob type Rep DescribePredictorBacktestExportJobResponse = D1 ('MetaData "DescribePredictorBacktestExportJobResponse" "Amazonka.Forecast.DescribePredictorBacktestExportJob" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribePredictorBacktestExportJobResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataDestination)) :: S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "predictorBacktestExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "predictorBacktestExportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: 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:

$sel:creationTime:DescribePredictorBacktestExportJobResponse', describePredictorBacktestExportJobResponse_creationTime - When the predictor backtest export job was created.

$sel:status: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:destination:DescribePredictorBacktestExportJobResponse', describePredictorBacktestExportJobResponse_destination - Undocumented member.

$sel:predictorArn:DescribePredictorBacktestExportJobResponse', describePredictorBacktestExportJobResponse_predictorArn - The Amazon Resource Name (ARN) of the predictor.

$sel:predictorBacktestExportJobArn:DescribePredictorBacktestExportJob', describePredictorBacktestExportJobResponse_predictorBacktestExportJobArn - The Amazon Resource Name (ARN) of the predictor backtest export job.

$sel:message:DescribePredictorBacktestExportJobResponse', describePredictorBacktestExportJobResponse_message - Information about any errors that may have occurred during the backtest export.

$sel:predictorBacktestExportJobName:DescribePredictorBacktestExportJobResponse', describePredictorBacktestExportJobResponse_predictorBacktestExportJobName - The name of the predictor backtest export job.

$sel:lastModificationTime: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.

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

UntagResource

data UntagResource Source #

See: newUntagResource smart constructor.

Constructors

UntagResource' Text [Sensitive Text]

Instances

Instances details

Eq UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods (==) :: UntagResource -> UntagResource -> Bool # (/=) :: UntagResource -> UntagResource -> Bool #
Show UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods showsPrec :: Int -> UntagResource -> ShowS # show :: UntagResource -> String # showList :: [UntagResource] -> ShowS #
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 #
NFData UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods rnf :: UntagResource -> () #
Hashable UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods hashWithSalt :: Int -> UntagResource -> Int # hash :: UntagResource -> Int #
ToJSON UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods toJSON :: UntagResource -> Value # toEncoding :: UntagResource -> Encoding # toJSONList :: [UntagResource] -> Value # toEncodingList :: [UntagResource] -> Encoding #
AWSRequest UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource Associated Types type AWSResponse UntagResource # Methods request :: UntagResource -> Request UntagResource # response :: MonadResource m => Logger -> Service -> Proxy UntagResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse UntagResource))) #
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 #
type Rep UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource type Rep UntagResource = D1 ('MetaData "UntagResource" "Amazonka.Forecast.UntagResource" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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])))
type AWSResponse UntagResource Source #
Instance details Defined in Amazonka.Forecast.UntagResource type AWSResponse UntagResource = UntagResourceResponse

newUntagResource Source #

Arguments

:: Text	`$sel:resourceArn: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:

$sel:resourceArn:UntagResource', untagResource_resourceArn - The Amazon Resource Name (ARN) that identifies the resource for which to list the tags. Currently, the supported resources are Forecast dataset groups, datasets, dataset import jobs, predictors, forecasts, and forecast exports.

$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

Eq UntagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods (==) :: UntagResourceResponse -> UntagResourceResponse -> Bool # (/=) :: UntagResourceResponse -> UntagResourceResponse -> Bool #
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 #
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 #
NFData UntagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.UntagResource Methods rnf :: UntagResourceResponse -> () #
type Rep UntagResourceResponse Source #
Instance details Defined in Amazonka.Forecast.UntagResource type Rep UntagResourceResponse = D1 ('MetaData "UntagResourceResponse" "Amazonka.Forecast.UntagResource" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

CreateDatasetGroup

data CreateDatasetGroup Source #

See: newCreateDatasetGroup smart constructor.

Constructors

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

Instances

Instances details

Eq CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods (==) :: CreateDatasetGroup -> CreateDatasetGroup -> Bool # (/=) :: CreateDatasetGroup -> CreateDatasetGroup -> Bool #
Show CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods showsPrec :: Int -> CreateDatasetGroup -> ShowS # show :: CreateDatasetGroup -> String # showList :: [CreateDatasetGroup] -> ShowS #
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 #
NFData CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods rnf :: CreateDatasetGroup -> () #
Hashable CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods hashWithSalt :: Int -> CreateDatasetGroup -> Int # hash :: CreateDatasetGroup -> Int #
ToJSON CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods toJSON :: CreateDatasetGroup -> Value # toEncoding :: CreateDatasetGroup -> Encoding # toJSONList :: [CreateDatasetGroup] -> Value # toEncodingList :: [CreateDatasetGroup] -> Encoding #
AWSRequest CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Associated Types type AWSResponse CreateDatasetGroup # Methods request :: CreateDatasetGroup -> Request CreateDatasetGroup # response :: MonadResource m => Logger -> Service -> Proxy CreateDatasetGroup -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateDatasetGroup))) #
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 #
type Rep CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup type Rep CreateDatasetGroup = D1 ('MetaData "CreateDatasetGroup" "Amazonka.Forecast.CreateDatasetGroup" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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))))
type AWSResponse CreateDatasetGroup Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup type AWSResponse CreateDatasetGroup = CreateDatasetGroupResponse

newCreateDatasetGroup Source #

Arguments

:: Text	`$sel:datasetGroupName:CreateDatasetGroup'`
-> Domain	`$sel: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.

$sel:datasetGroupName:CreateDatasetGroup', createDatasetGroup_datasetGroupName - A name for the dataset group.

$sel:domain: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 howitworks-datasets-groups.

data CreateDatasetGroupResponse Source #

See: newCreateDatasetGroupResponse smart constructor.

Constructors

CreateDatasetGroupResponse' (Maybe Text) Int

Instances

Instances details

Eq CreateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods (==) :: CreateDatasetGroupResponse -> CreateDatasetGroupResponse -> Bool # (/=) :: CreateDatasetGroupResponse -> CreateDatasetGroupResponse -> Bool #
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 #
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 #
NFData CreateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup Methods rnf :: CreateDatasetGroupResponse -> () #
type Rep CreateDatasetGroupResponse Source #
Instance details Defined in Amazonka.Forecast.CreateDatasetGroup type Rep CreateDatasetGroupResponse = D1 ('MetaData "CreateDatasetGroupResponse" "Amazonka.Forecast.CreateDatasetGroup" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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:

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

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

ListForecastExportJobs (Paginated)

data ListForecastExportJobs Source #

See: newListForecastExportJobs smart constructor.

Constructors

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

Instances

Instances details

Eq ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods (==) :: ListForecastExportJobs -> ListForecastExportJobs -> Bool # (/=) :: ListForecastExportJobs -> ListForecastExportJobs -> Bool #
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 #
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 #
NFData ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods rnf :: ListForecastExportJobs -> () #
Hashable ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods hashWithSalt :: Int -> ListForecastExportJobs -> Int # hash :: ListForecastExportJobs -> Int #
ToJSON ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods toJSON :: ListForecastExportJobs -> Value # toEncoding :: ListForecastExportJobs -> Encoding # toJSONList :: [ListForecastExportJobs] -> Value # toEncodingList :: [ListForecastExportJobs] -> Encoding #
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 :: ListForecastExportJobs -> Request ListForecastExportJobs # response :: MonadResource m => Logger -> Service -> Proxy ListForecastExportJobs -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListForecastExportJobs))) #
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 #
type Rep ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs type Rep ListForecastExportJobs = D1 ('MetaData "ListForecastExportJobs" "Amazonka.Forecast.ListForecastExportJobs" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ListForecastExportJobs'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))
type AWSResponse ListForecastExportJobs Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs type AWSResponse ListForecastExportJobs = ListForecastExportJobsResponse

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:nextToken: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.

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

data ListForecastExportJobsResponse Source #

See: newListForecastExportJobsResponse smart constructor.

Constructors

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

Instances

Instances details

Eq ListForecastExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods (==) :: ListForecastExportJobsResponse -> ListForecastExportJobsResponse -> Bool # (/=) :: ListForecastExportJobsResponse -> ListForecastExportJobsResponse -> Bool #
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 #
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 #
NFData ListForecastExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs Methods rnf :: ListForecastExportJobsResponse -> () #
type Rep ListForecastExportJobsResponse Source #
Instance details Defined in Amazonka.Forecast.ListForecastExportJobs type Rep ListForecastExportJobsResponse = D1 ('MetaData "ListForecastExportJobsResponse" "Amazonka.Forecast.ListForecastExportJobs" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ListForecastExportJobsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "forecastExportJobs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ForecastExportJobSummary])) :: 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:nextToken: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:forecastExportJobs:ListForecastExportJobsResponse', listForecastExportJobsResponse_forecastExportJobs - An array of objects that summarize each export job's properties.

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

ListPredictors (Paginated)

data ListPredictors Source #

See: newListPredictors smart constructor.

Constructors

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

Instances

Instances details

Eq ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods (==) :: ListPredictors -> ListPredictors -> Bool # (/=) :: ListPredictors -> ListPredictors -> Bool #
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 #
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 #
NFData ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods rnf :: ListPredictors -> () #
Hashable ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods hashWithSalt :: Int -> ListPredictors -> Int # hash :: ListPredictors -> Int #
ToJSON ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods toJSON :: ListPredictors -> Value # toEncoding :: ListPredictors -> Encoding # toJSONList :: [ListPredictors] -> Value # toEncodingList :: [ListPredictors] -> Encoding #
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 :: ListPredictors -> Request ListPredictors # response :: MonadResource m => Logger -> Service -> Proxy ListPredictors -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListPredictors))) #
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 #
type Rep ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors type Rep ListPredictors = D1 ('MetaData "ListPredictors" "Amazonka.Forecast.ListPredictors" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ListPredictors'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Filter])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))
type AWSResponse ListPredictors Source #
Instance details Defined in Amazonka.Forecast.ListPredictors type AWSResponse ListPredictors = ListPredictorsResponse

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:nextToken: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.

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

data ListPredictorsResponse Source #

See: newListPredictorsResponse smart constructor.

Constructors

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

Instances

Instances details

Eq ListPredictorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods (==) :: ListPredictorsResponse -> ListPredictorsResponse -> Bool # (/=) :: ListPredictorsResponse -> ListPredictorsResponse -> Bool #
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 #
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 #
NFData ListPredictorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictors Methods rnf :: ListPredictorsResponse -> () #
type Rep ListPredictorsResponse Source #
Instance details Defined in Amazonka.Forecast.ListPredictors type Rep ListPredictorsResponse = D1 ('MetaData "ListPredictorsResponse" "Amazonka.Forecast.ListPredictors" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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:

$sel:nextToken: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.

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

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 #
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 #
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 #
NFData AttributeType Source #
Instance details Defined in Amazonka.Forecast.Types.AttributeType Methods rnf :: AttributeType -> () #
Hashable AttributeType Source #
Instance details Defined in Amazonka.Forecast.Types.AttributeType Methods hashWithSalt :: Int -> AttributeType -> Int # hash :: AttributeType -> Int #
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] #
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] #
ToLog AttributeType Source #
Instance details Defined in Amazonka.Forecast.Types.AttributeType Methods build :: AttributeType -> ByteStringBuilder #
ToHeader AttributeType Source #
Instance details Defined in Amazonka.Forecast.Types.AttributeType Methods toHeader :: HeaderName -> AttributeType -> [Header] #
ToQuery AttributeType Source #
Instance details Defined in Amazonka.Forecast.Types.AttributeType Methods toQuery :: AttributeType -> QueryString #
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 #
ToByteString AttributeType Source #
Instance details Defined in Amazonka.Forecast.Types.AttributeType Methods toBS :: AttributeType -> ByteString #
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 #
type Rep AttributeType Source #
Instance details Defined in Amazonka.Forecast.Types.AttributeType type Rep AttributeType = D1 ('MetaData "AttributeType" "Amazonka.Forecast.Types.AttributeType" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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_LatencyOptimized :: AutoMLOverrideStrategy

Instances

Instances details

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 #
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 #
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 #
NFData AutoMLOverrideStrategy Source #
Instance details Defined in Amazonka.Forecast.Types.AutoMLOverrideStrategy Methods rnf :: AutoMLOverrideStrategy -> () #
Hashable AutoMLOverrideStrategy Source #
Instance details Defined in Amazonka.Forecast.Types.AutoMLOverrideStrategy Methods hashWithSalt :: Int -> AutoMLOverrideStrategy -> Int # hash :: AutoMLOverrideStrategy -> Int #
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] #
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] #
ToLog AutoMLOverrideStrategy Source #
Instance details Defined in Amazonka.Forecast.Types.AutoMLOverrideStrategy Methods build :: AutoMLOverrideStrategy -> ByteStringBuilder #
ToHeader AutoMLOverrideStrategy Source #
Instance details Defined in Amazonka.Forecast.Types.AutoMLOverrideStrategy Methods toHeader :: HeaderName -> AutoMLOverrideStrategy -> [Header] #
ToQuery AutoMLOverrideStrategy Source #
Instance details Defined in Amazonka.Forecast.Types.AutoMLOverrideStrategy Methods toQuery :: AutoMLOverrideStrategy -> QueryString #
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 #
ToByteString AutoMLOverrideStrategy Source #
Instance details Defined in Amazonka.Forecast.Types.AutoMLOverrideStrategy Methods toBS :: AutoMLOverrideStrategy -> ByteString #
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 #
type Rep AutoMLOverrideStrategy Source #
Instance details Defined in Amazonka.Forecast.Types.AutoMLOverrideStrategy type Rep AutoMLOverrideStrategy = D1 ('MetaData "AutoMLOverrideStrategy" "Amazonka.Forecast.Types.AutoMLOverrideStrategy" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'True) (C1 ('MetaCons "AutoMLOverrideStrategy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLOverrideStrategy") '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

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 #
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 #
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 #
NFData DatasetType Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetType Methods rnf :: DatasetType -> () #
Hashable DatasetType Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetType Methods hashWithSalt :: Int -> DatasetType -> Int # hash :: DatasetType -> Int #
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] #
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] #
ToLog DatasetType Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetType Methods build :: DatasetType -> ByteStringBuilder #
ToHeader DatasetType Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetType Methods toHeader :: HeaderName -> DatasetType -> [Header] #
ToQuery DatasetType Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetType Methods toQuery :: DatasetType -> QueryString #
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 #
ToByteString DatasetType Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetType Methods toBS :: DatasetType -> ByteString #
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 #
type Rep DatasetType Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetType type Rep DatasetType = D1 ('MetaData "DatasetType" "Amazonka.Forecast.Types.DatasetType" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'True) (C1 ('MetaCons "DatasetType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDatasetType") '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

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 #
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 #
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 #
NFData Domain Source #
Instance details Defined in Amazonka.Forecast.Types.Domain Methods rnf :: Domain -> () #
Hashable Domain Source #
Instance details Defined in Amazonka.Forecast.Types.Domain Methods hashWithSalt :: Int -> Domain -> Int # hash :: Domain -> Int #
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] #
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] #
ToLog Domain Source #
Instance details Defined in Amazonka.Forecast.Types.Domain Methods build :: Domain -> ByteStringBuilder #
ToHeader Domain Source #
Instance details Defined in Amazonka.Forecast.Types.Domain Methods toHeader :: HeaderName -> Domain -> [Header] #
ToQuery Domain Source #
Instance details Defined in Amazonka.Forecast.Types.Domain Methods toQuery :: Domain -> QueryString #
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 #
ToByteString Domain Source #
Instance details Defined in Amazonka.Forecast.Types.Domain Methods toBS :: Domain -> ByteString #
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 #
type Rep Domain Source #
Instance details Defined in Amazonka.Forecast.Types.Domain type Rep Domain = D1 ('MetaData "Domain" "Amazonka.Forecast.Types.Domain" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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

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 #
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 #
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 #
NFData EvaluationType Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationType Methods rnf :: EvaluationType -> () #
Hashable EvaluationType Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationType Methods hashWithSalt :: Int -> EvaluationType -> Int # hash :: EvaluationType -> Int #
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] #
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] #
ToLog EvaluationType Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationType Methods build :: EvaluationType -> ByteStringBuilder #
ToHeader EvaluationType Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationType Methods toHeader :: HeaderName -> EvaluationType -> [Header] #
ToQuery EvaluationType Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationType Methods toQuery :: EvaluationType -> QueryString #
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 #
ToByteString EvaluationType Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationType Methods toBS :: EvaluationType -> ByteString #
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 #
type Rep EvaluationType Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationType type Rep EvaluationType = D1 ('MetaData "EvaluationType" "Amazonka.Forecast.Types.EvaluationType" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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

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 #
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 #
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 #
NFData FeaturizationMethodName Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationMethodName Methods rnf :: FeaturizationMethodName -> () #
Hashable FeaturizationMethodName Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationMethodName Methods hashWithSalt :: Int -> FeaturizationMethodName -> Int # hash :: FeaturizationMethodName -> Int #
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] #
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] #
ToLog FeaturizationMethodName Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationMethodName Methods build :: FeaturizationMethodName -> ByteStringBuilder #
ToHeader FeaturizationMethodName Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationMethodName Methods toHeader :: HeaderName -> FeaturizationMethodName -> [Header] #
ToQuery FeaturizationMethodName Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationMethodName Methods toQuery :: FeaturizationMethodName -> QueryString #
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 #
ToByteString FeaturizationMethodName Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationMethodName Methods toBS :: FeaturizationMethodName -> ByteString #
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 #
type Rep FeaturizationMethodName Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationMethodName type Rep FeaturizationMethodName = D1 ('MetaData "FeaturizationMethodName" "Amazonka.Forecast.Types.FeaturizationMethodName" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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

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 #
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 #
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 #
NFData FilterConditionString Source #
Instance details Defined in Amazonka.Forecast.Types.FilterConditionString Methods rnf :: FilterConditionString -> () #
Hashable FilterConditionString Source #
Instance details Defined in Amazonka.Forecast.Types.FilterConditionString Methods hashWithSalt :: Int -> FilterConditionString -> Int # hash :: FilterConditionString -> Int #
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] #
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] #
ToLog FilterConditionString Source #
Instance details Defined in Amazonka.Forecast.Types.FilterConditionString Methods build :: FilterConditionString -> ByteStringBuilder #
ToHeader FilterConditionString Source #
Instance details Defined in Amazonka.Forecast.Types.FilterConditionString Methods toHeader :: HeaderName -> FilterConditionString -> [Header] #
ToQuery FilterConditionString Source #
Instance details Defined in Amazonka.Forecast.Types.FilterConditionString Methods toQuery :: FilterConditionString -> QueryString #
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 #
ToByteString FilterConditionString Source #
Instance details Defined in Amazonka.Forecast.Types.FilterConditionString Methods toBS :: FilterConditionString -> ByteString #
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 #
type Rep FilterConditionString Source #
Instance details Defined in Amazonka.Forecast.Types.FilterConditionString type Rep FilterConditionString = D1 ('MetaData "FilterConditionString" "Amazonka.Forecast.Types.FilterConditionString" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'True) (C1 ('MetaCons "FilterConditionString'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFilterConditionString") '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

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 #
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 #
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 #
NFData OptimizationMetric Source #
Instance details Defined in Amazonka.Forecast.Types.OptimizationMetric Methods rnf :: OptimizationMetric -> () #
Hashable OptimizationMetric Source #
Instance details Defined in Amazonka.Forecast.Types.OptimizationMetric Methods hashWithSalt :: Int -> OptimizationMetric -> Int # hash :: OptimizationMetric -> Int #
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] #
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] #
ToLog OptimizationMetric Source #
Instance details Defined in Amazonka.Forecast.Types.OptimizationMetric Methods build :: OptimizationMetric -> ByteStringBuilder #
ToHeader OptimizationMetric Source #
Instance details Defined in Amazonka.Forecast.Types.OptimizationMetric Methods toHeader :: HeaderName -> OptimizationMetric -> [Header] #
ToQuery OptimizationMetric Source #
Instance details Defined in Amazonka.Forecast.Types.OptimizationMetric Methods toQuery :: OptimizationMetric -> QueryString #
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 #
ToByteString OptimizationMetric Source #
Instance details Defined in Amazonka.Forecast.Types.OptimizationMetric Methods toBS :: OptimizationMetric -> ByteString #
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 #
type Rep OptimizationMetric Source #
Instance details Defined in Amazonka.Forecast.Types.OptimizationMetric type Rep OptimizationMetric = D1 ('MetaData "OptimizationMetric" "Amazonka.Forecast.Types.OptimizationMetric" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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

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 #
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 #
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 #
NFData ScalingType Source #
Instance details Defined in Amazonka.Forecast.Types.ScalingType Methods rnf :: ScalingType -> () #
Hashable ScalingType Source #
Instance details Defined in Amazonka.Forecast.Types.ScalingType Methods hashWithSalt :: Int -> ScalingType -> Int # hash :: ScalingType -> Int #
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] #
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] #
ToLog ScalingType Source #
Instance details Defined in Amazonka.Forecast.Types.ScalingType Methods build :: ScalingType -> ByteStringBuilder #
ToHeader ScalingType Source #
Instance details Defined in Amazonka.Forecast.Types.ScalingType Methods toHeader :: HeaderName -> ScalingType -> [Header] #
ToQuery ScalingType Source #
Instance details Defined in Amazonka.Forecast.Types.ScalingType Methods toQuery :: ScalingType -> QueryString #
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 #
ToByteString ScalingType Source #
Instance details Defined in Amazonka.Forecast.Types.ScalingType Methods toBS :: ScalingType -> ByteString #
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 #
type Rep ScalingType Source #
Instance details Defined in Amazonka.Forecast.Types.ScalingType type Rep ScalingType = D1 ('MetaData "ScalingType" "Amazonka.Forecast.Types.ScalingType" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'True) (C1 ('MetaCons "ScalingType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromScalingType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

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

Eq CategoricalParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.CategoricalParameterRange Methods (==) :: CategoricalParameterRange -> CategoricalParameterRange -> Bool # (/=) :: CategoricalParameterRange -> CategoricalParameterRange -> Bool #
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 #
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 #
NFData CategoricalParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.CategoricalParameterRange Methods rnf :: CategoricalParameterRange -> () #
Hashable CategoricalParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.CategoricalParameterRange Methods hashWithSalt :: Int -> CategoricalParameterRange -> Int # hash :: CategoricalParameterRange -> Int #
ToJSON CategoricalParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.CategoricalParameterRange Methods toJSON :: CategoricalParameterRange -> Value # toEncoding :: CategoricalParameterRange -> Encoding # toJSONList :: [CategoricalParameterRange] -> Value # toEncodingList :: [CategoricalParameterRange] -> Encoding #
FromJSON CategoricalParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.CategoricalParameterRange Methods parseJSON :: Value -> Parser CategoricalParameterRange # parseJSONList :: Value -> Parser [CategoricalParameterRange] #
type Rep CategoricalParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.CategoricalParameterRange type Rep CategoricalParameterRange = D1 ('MetaData "CategoricalParameterRange" "Amazonka.Forecast.Types.CategoricalParameterRange" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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

Eq ContinuousParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.ContinuousParameterRange Methods (==) :: ContinuousParameterRange -> ContinuousParameterRange -> Bool # (/=) :: ContinuousParameterRange -> ContinuousParameterRange -> Bool #
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 #
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 #
NFData ContinuousParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.ContinuousParameterRange Methods rnf :: ContinuousParameterRange -> () #
Hashable ContinuousParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.ContinuousParameterRange Methods hashWithSalt :: Int -> ContinuousParameterRange -> Int # hash :: ContinuousParameterRange -> Int #
ToJSON ContinuousParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.ContinuousParameterRange Methods toJSON :: ContinuousParameterRange -> Value # toEncoding :: ContinuousParameterRange -> Encoding # toJSONList :: [ContinuousParameterRange] -> Value # toEncodingList :: [ContinuousParameterRange] -> Encoding #
FromJSON ContinuousParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.ContinuousParameterRange Methods parseJSON :: Value -> Parser ContinuousParameterRange # parseJSONList :: Value -> Parser [ContinuousParameterRange] #
type Rep ContinuousParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.ContinuousParameterRange type Rep ContinuousParameterRange = D1 ('MetaData "ContinuousParameterRange" "Amazonka.Forecast.Types.ContinuousParameterRange" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

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

Eq DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination Methods (==) :: DataDestination -> DataDestination -> Bool # (/=) :: DataDestination -> DataDestination -> Bool #
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 #
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 #
NFData DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination Methods rnf :: DataDestination -> () #
Hashable DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination Methods hashWithSalt :: Int -> DataDestination -> Int # hash :: DataDestination -> Int #
ToJSON DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination Methods toJSON :: DataDestination -> Value # toEncoding :: DataDestination -> Encoding # toJSONList :: [DataDestination] -> Value # toEncodingList :: [DataDestination] -> Encoding #
FromJSON DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination Methods parseJSON :: Value -> Parser DataDestination # parseJSONList :: Value -> Parser [DataDestination] #
type Rep DataDestination Source #
Instance details Defined in Amazonka.Forecast.Types.DataDestination type Rep DataDestination = D1 ('MetaData "DataDestination" "Amazonka.Forecast.Types.DataDestination" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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 training 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. This object is submitted in the CreateDatasetImportJob request.

See: newDataSource smart constructor.

Constructors

DataSource' S3Config

Instances

Instances details

Eq DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource Methods (==) :: DataSource -> DataSource -> Bool # (/=) :: DataSource -> DataSource -> Bool #
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 #
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 #
NFData DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource Methods rnf :: DataSource -> () #
Hashable DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource Methods hashWithSalt :: Int -> DataSource -> Int # hash :: DataSource -> Int #
ToJSON DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource Methods toJSON :: DataSource -> Value # toEncoding :: DataSource -> Encoding # toJSONList :: [DataSource] -> Value # toEncodingList :: [DataSource] -> Encoding #
FromJSON DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource Methods parseJSON :: Value -> Parser DataSource # parseJSONList :: Value -> Parser [DataSource] #
type Rep DataSource Source #
Instance details Defined in Amazonka.Forecast.Types.DataSource type Rep DataSource = D1 ('MetaData "DataSource" "Amazonka.Forecast.Types.DataSource" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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 training 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

Eq DatasetGroupSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetGroupSummary Methods (==) :: DatasetGroupSummary -> DatasetGroupSummary -> Bool # (/=) :: DatasetGroupSummary -> DatasetGroupSummary -> Bool #
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 #
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 #
NFData DatasetGroupSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetGroupSummary Methods rnf :: DatasetGroupSummary -> () #
Hashable DatasetGroupSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetGroupSummary Methods hashWithSalt :: Int -> DatasetGroupSummary -> Int # hash :: DatasetGroupSummary -> Int #
FromJSON DatasetGroupSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetGroupSummary Methods parseJSON :: Value -> Parser DatasetGroupSummary # parseJSONList :: Value -> Parser [DatasetGroupSummary] #
type Rep DatasetGroupSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetGroupSummary type Rep DatasetGroupSummary = D1 ('MetaData "DatasetGroupSummary" "Amazonka.Forecast.Types.DatasetGroupSummary" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DatasetGroupSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasetGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "datasetGroupArn") '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:datasetGroupName:DatasetGroupSummary', datasetGroupSummary_datasetGroupName - The name of the dataset group.

$sel:datasetGroupArn:DatasetGroupSummary', datasetGroupSummary_datasetGroupArn - The Amazon Resource Name (ARN) 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 Text) (Maybe Text) (Maybe DataSource) (Maybe Text) (Maybe Text) (Maybe POSIX)

Instances

Instances details

Eq DatasetImportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetImportJobSummary Methods (==) :: DatasetImportJobSummary -> DatasetImportJobSummary -> Bool # (/=) :: DatasetImportJobSummary -> DatasetImportJobSummary -> Bool #
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 #
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 #
NFData DatasetImportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetImportJobSummary Methods rnf :: DatasetImportJobSummary -> () #
Hashable DatasetImportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetImportJobSummary Methods hashWithSalt :: Int -> DatasetImportJobSummary -> Int # hash :: DatasetImportJobSummary -> Int #
FromJSON DatasetImportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetImportJobSummary Methods parseJSON :: Value -> Parser DatasetImportJobSummary # parseJSONList :: Value -> Parser [DatasetImportJobSummary] #
type Rep DatasetImportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetImportJobSummary type Rep DatasetImportJobSummary = D1 ('MetaData "DatasetImportJobSummary" "Amazonka.Forecast.Types.DatasetImportJobSummary" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DatasetImportJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "datasetImportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataSource)) :: S1 ('MetaSel ('Just "datasetImportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))))

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: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

$sel:datasetImportJobName:DatasetImportJobSummary', datasetImportJobSummary_datasetImportJobName - The name of the dataset import job.

$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:message:DatasetImportJobSummary', datasetImportJobSummary_message - If an error occurred, an informational message about the error.

$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.

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 Domain) (Maybe DatasetType) (Maybe Text) (Maybe POSIX)

Instances

Instances details

Eq DatasetSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetSummary Methods (==) :: DatasetSummary -> DatasetSummary -> Bool # (/=) :: DatasetSummary -> DatasetSummary -> Bool #
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 #
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 #
NFData DatasetSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetSummary Methods rnf :: DatasetSummary -> () #
Hashable DatasetSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetSummary Methods hashWithSalt :: Int -> DatasetSummary -> Int # hash :: DatasetSummary -> Int #
FromJSON DatasetSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetSummary Methods parseJSON :: Value -> Parser DatasetSummary # parseJSONList :: Value -> Parser [DatasetSummary] #
type Rep DatasetSummary Source #
Instance details Defined in Amazonka.Forecast.Types.DatasetSummary type Rep DatasetSummary = D1 ('MetaData "DatasetSummary" "Amazonka.Forecast.Types.DatasetSummary" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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 "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Domain)))) :: (S1 ('MetaSel ('Just "datasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetType)) :: (S1 ('MetaSel ('Just "datasetName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: 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:domain:DatasetSummary', datasetSummary_domain - The domain associated with the dataset.

$sel:datasetType:DatasetSummary', datasetSummary_datasetType - The dataset type.

$sel:datasetName:DatasetSummary', datasetSummary_datasetName - The name of 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

Eq EncryptionConfig Source #
Instance details Defined in Amazonka.Forecast.Types.EncryptionConfig Methods (==) :: EncryptionConfig -> EncryptionConfig -> Bool # (/=) :: EncryptionConfig -> EncryptionConfig -> Bool #
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 #
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 #
NFData EncryptionConfig Source #
Instance details Defined in Amazonka.Forecast.Types.EncryptionConfig Methods rnf :: EncryptionConfig -> () #
Hashable EncryptionConfig Source #
Instance details Defined in Amazonka.Forecast.Types.EncryptionConfig Methods hashWithSalt :: Int -> EncryptionConfig -> Int # hash :: EncryptionConfig -> Int #
ToJSON EncryptionConfig Source #
Instance details Defined in Amazonka.Forecast.Types.EncryptionConfig Methods toJSON :: EncryptionConfig -> Value # toEncoding :: EncryptionConfig -> Encoding # toJSONList :: [EncryptionConfig] -> Value # toEncodingList :: [EncryptionConfig] -> Encoding #
FromJSON EncryptionConfig Source #
Instance details Defined in Amazonka.Forecast.Types.EncryptionConfig Methods parseJSON :: Value -> Parser EncryptionConfig # parseJSONList :: Value -> Parser [EncryptionConfig] #
type Rep EncryptionConfig Source #
Instance details Defined in Amazonka.Forecast.Types.EncryptionConfig type Rep EncryptionConfig = D1 ('MetaData "EncryptionConfig" "Amazonka.Forecast.Types.EncryptionConfig" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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 Double) (Maybe Double) (Maybe Double) (Maybe Double) (Maybe Text)

Instances

Instances details

Eq ErrorMetric Source #
Instance details Defined in Amazonka.Forecast.Types.ErrorMetric Methods (==) :: ErrorMetric -> ErrorMetric -> Bool # (/=) :: ErrorMetric -> ErrorMetric -> Bool #
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 #
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 #
NFData ErrorMetric Source #
Instance details Defined in Amazonka.Forecast.Types.ErrorMetric Methods rnf :: ErrorMetric -> () #
Hashable ErrorMetric Source #
Instance details Defined in Amazonka.Forecast.Types.ErrorMetric Methods hashWithSalt :: Int -> ErrorMetric -> Int # hash :: ErrorMetric -> Int #
FromJSON ErrorMetric Source #
Instance details Defined in Amazonka.Forecast.Types.ErrorMetric Methods parseJSON :: Value -> Parser ErrorMetric # parseJSONList :: Value -> Parser [ErrorMetric] #
type Rep ErrorMetric Source #
Instance details Defined in Amazonka.Forecast.Types.ErrorMetric type Rep ErrorMetric = D1 ('MetaData "ErrorMetric" "Amazonka.Forecast.Types.ErrorMetric" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ErrorMetric'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "mase") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "wape") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "mape") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "rmse") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "forecastType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

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:mase:ErrorMetric', errorMetric_mase - The Mean Absolute Scaled Error (MASE)

$sel:wape:ErrorMetric', errorMetric_wape - The weighted absolute percentage error (WAPE).

$sel:mape:ErrorMetric', errorMetric_mape - The Mean Absolute Percentage Error (MAPE)

$sel:rmse:ErrorMetric', errorMetric_rmse - The root-mean-square error (RMSE).

$sel:forecastType:ErrorMetric', errorMetric_forecastType - The Forecast type used to compute WAPE, MAPE, MASE, and RMSE.

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

Eq EvaluationParameters Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationParameters Methods (==) :: EvaluationParameters -> EvaluationParameters -> Bool # (/=) :: EvaluationParameters -> EvaluationParameters -> Bool #
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 #
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 #
NFData EvaluationParameters Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationParameters Methods rnf :: EvaluationParameters -> () #
Hashable EvaluationParameters Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationParameters Methods hashWithSalt :: Int -> EvaluationParameters -> Int # hash :: EvaluationParameters -> Int #
ToJSON EvaluationParameters Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationParameters Methods toJSON :: EvaluationParameters -> Value # toEncoding :: EvaluationParameters -> Encoding # toJSONList :: [EvaluationParameters] -> Value # toEncodingList :: [EvaluationParameters] -> Encoding #
FromJSON EvaluationParameters Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationParameters Methods parseJSON :: Value -> Parser EvaluationParameters # parseJSONList :: Value -> Parser [EvaluationParameters] #
type Rep EvaluationParameters Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationParameters type Rep EvaluationParameters = D1 ('MetaData "EvaluationParameters" "Amazonka.Forecast.Types.EvaluationParameters" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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

Eq EvaluationResult Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationResult Methods (==) :: EvaluationResult -> EvaluationResult -> Bool # (/=) :: EvaluationResult -> EvaluationResult -> Bool #
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 #
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 #
NFData EvaluationResult Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationResult Methods rnf :: EvaluationResult -> () #
Hashable EvaluationResult Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationResult Methods hashWithSalt :: Int -> EvaluationResult -> Int # hash :: EvaluationResult -> Int #
FromJSON EvaluationResult Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationResult Methods parseJSON :: Value -> Parser EvaluationResult # parseJSONList :: Value -> Parser [EvaluationResult] #
type Rep EvaluationResult Source #
Instance details Defined in Amazonka.Forecast.Types.EvaluationResult type Rep EvaluationResult = D1 ('MetaData "EvaluationResult" "Amazonka.Forecast.Types.EvaluationResult" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

Featurization

data Featurization Source #

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

Eq Featurization Source #
Instance details Defined in Amazonka.Forecast.Types.Featurization Methods (==) :: Featurization -> Featurization -> Bool # (/=) :: Featurization -> Featurization -> Bool #
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 #
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 #
NFData Featurization Source #
Instance details Defined in Amazonka.Forecast.Types.Featurization Methods rnf :: Featurization -> () #
Hashable Featurization Source #
Instance details Defined in Amazonka.Forecast.Types.Featurization Methods hashWithSalt :: Int -> Featurization -> Int # hash :: Featurization -> Int #
ToJSON Featurization Source #
Instance details Defined in Amazonka.Forecast.Types.Featurization Methods toJSON :: Featurization -> Value # toEncoding :: Featurization -> Encoding # toJSONList :: [Featurization] -> Value # toEncodingList :: [Featurization] -> Encoding #
FromJSON Featurization Source #
Instance details Defined in Amazonka.Forecast.Types.Featurization Methods parseJSON :: Value -> Parser Featurization # parseJSONList :: Value -> Parser [Featurization] #
type Rep Featurization Source #
Instance details Defined in Amazonka.Forecast.Types.Featurization type Rep Featurization = D1 ('MetaData "Featurization" "Amazonka.Forecast.Types.Featurization" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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 #

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

Eq FeaturizationConfig Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationConfig Methods (==) :: FeaturizationConfig -> FeaturizationConfig -> Bool # (/=) :: FeaturizationConfig -> FeaturizationConfig -> Bool #
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 #
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 #
NFData FeaturizationConfig Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationConfig Methods rnf :: FeaturizationConfig -> () #
Hashable FeaturizationConfig Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationConfig Methods hashWithSalt :: Int -> FeaturizationConfig -> Int # hash :: FeaturizationConfig -> Int #
ToJSON FeaturizationConfig Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationConfig Methods toJSON :: FeaturizationConfig -> Value # toEncoding :: FeaturizationConfig -> Encoding # toJSONList :: [FeaturizationConfig] -> Value # toEncodingList :: [FeaturizationConfig] -> Encoding #
FromJSON FeaturizationConfig Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationConfig Methods parseJSON :: Value -> Parser FeaturizationConfig # parseJSONList :: Value -> Parser [FeaturizationConfig] #
type Rep FeaturizationConfig Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationConfig type Rep FeaturizationConfig = D1 ('MetaData "FeaturizationConfig" "Amazonka.Forecast.Types.FeaturizationConfig" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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

Eq FeaturizationMethod Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationMethod Methods (==) :: FeaturizationMethod -> FeaturizationMethod -> Bool # (/=) :: FeaturizationMethod -> FeaturizationMethod -> Bool #
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 #
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 #
NFData FeaturizationMethod Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationMethod Methods rnf :: FeaturizationMethod -> () #
Hashable FeaturizationMethod Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationMethod Methods hashWithSalt :: Int -> FeaturizationMethod -> Int # hash :: FeaturizationMethod -> Int #
ToJSON FeaturizationMethod Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationMethod Methods toJSON :: FeaturizationMethod -> Value # toEncoding :: FeaturizationMethod -> Encoding # toJSONList :: [FeaturizationMethod] -> Value # toEncodingList :: [FeaturizationMethod] -> Encoding #
FromJSON FeaturizationMethod Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationMethod Methods parseJSON :: Value -> Parser FeaturizationMethod # parseJSONList :: Value -> Parser [FeaturizationMethod] #
type Rep FeaturizationMethod Source #
Instance details Defined in Amazonka.Forecast.Types.FeaturizationMethod type Rep FeaturizationMethod = D1 ('MetaData "FeaturizationMethod" "Amazonka.Forecast.Types.FeaturizationMethod" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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

Eq Filter Source #
Instance details Defined in Amazonka.Forecast.Types.Filter Methods (==) :: Filter -> Filter -> Bool # (/=) :: Filter -> Filter -> Bool #
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 #
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 #
NFData Filter Source #
Instance details Defined in Amazonka.Forecast.Types.Filter Methods rnf :: Filter -> () #
Hashable Filter Source #
Instance details Defined in Amazonka.Forecast.Types.Filter Methods hashWithSalt :: Int -> Filter -> Int # hash :: Filter -> Int #
ToJSON Filter Source #
Instance details Defined in Amazonka.Forecast.Types.Filter Methods toJSON :: Filter -> Value # toEncoding :: Filter -> Encoding # toJSONList :: [Filter] -> Value # toEncodingList :: [Filter] -> Encoding #
type Rep Filter Source #
Instance details Defined in Amazonka.Forecast.Types.Filter type Rep Filter = D1 ('MetaData "Filter" "Amazonka.Forecast.Types.Filter" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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 Text) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX)

Instances

Instances details

Eq ForecastExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastExportJobSummary Methods (==) :: ForecastExportJobSummary -> ForecastExportJobSummary -> Bool # (/=) :: ForecastExportJobSummary -> ForecastExportJobSummary -> Bool #
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 #
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 #
NFData ForecastExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastExportJobSummary Methods rnf :: ForecastExportJobSummary -> () #
Hashable ForecastExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastExportJobSummary Methods hashWithSalt :: Int -> ForecastExportJobSummary -> Int # hash :: ForecastExportJobSummary -> Int #
FromJSON ForecastExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastExportJobSummary Methods parseJSON :: Value -> Parser ForecastExportJobSummary # parseJSONList :: Value -> Parser [ForecastExportJobSummary] #
type Rep ForecastExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastExportJobSummary type Rep ForecastExportJobSummary = D1 ('MetaData "ForecastExportJobSummary" "Amazonka.Forecast.Types.ForecastExportJobSummary" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ForecastExportJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: 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 "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))))

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: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.

$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:message:ForecastExportJobSummary', forecastExportJobSummary_message - If an error occurred, an informational message about the error.

$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.

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 POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX)

Instances

Instances details

Eq ForecastSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastSummary Methods (==) :: ForecastSummary -> ForecastSummary -> Bool # (/=) :: ForecastSummary -> ForecastSummary -> Bool #
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 #
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 #
NFData ForecastSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastSummary Methods rnf :: ForecastSummary -> () #
Hashable ForecastSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastSummary Methods hashWithSalt :: Int -> ForecastSummary -> Int # hash :: ForecastSummary -> Int #
FromJSON ForecastSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastSummary Methods parseJSON :: Value -> Parser ForecastSummary # parseJSONList :: Value -> Parser [ForecastSummary] #
type Rep ForecastSummary Source #
Instance details Defined in Amazonka.Forecast.Types.ForecastSummary type Rep ForecastSummary = D1 ('MetaData "ForecastSummary" "Amazonka.Forecast.Types.ForecastSummary" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ForecastSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "predictorArn") '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 "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))))

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:creationTime:ForecastSummary', forecastSummary_creationTime - When the forecast creation task was created.

$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.

$sel:predictorArn:ForecastSummary', forecastSummary_predictorArn - The ARN of the predictor used to generate the forecast.

$sel:forecastArn:ForecastSummary', forecastSummary_forecastArn - The ARN of the forecast.

$sel:forecastName:ForecastSummary', forecastSummary_forecastName - The name of the forecast.

$sel:datasetGroupArn:ForecastSummary', forecastSummary_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group that provided the data used to train the predictor.

$sel:message:ForecastSummary', forecastSummary_message - If an error occurred, an informational message about the error.

$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.

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

Eq HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig Methods (==) :: HyperParameterTuningJobConfig -> HyperParameterTuningJobConfig -> Bool # (/=) :: HyperParameterTuningJobConfig -> HyperParameterTuningJobConfig -> Bool #
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 #
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 #
NFData HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig Methods rnf :: HyperParameterTuningJobConfig -> () #
Hashable HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig Methods hashWithSalt :: Int -> HyperParameterTuningJobConfig -> Int # hash :: HyperParameterTuningJobConfig -> Int #
ToJSON HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig Methods toJSON :: HyperParameterTuningJobConfig -> Value # toEncoding :: HyperParameterTuningJobConfig -> Encoding # toJSONList :: [HyperParameterTuningJobConfig] -> Value # toEncodingList :: [HyperParameterTuningJobConfig] -> Encoding #
FromJSON HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig Methods parseJSON :: Value -> Parser HyperParameterTuningJobConfig # parseJSONList :: Value -> Parser [HyperParameterTuningJobConfig] #
type Rep HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig type Rep HyperParameterTuningJobConfig = D1 ('MetaData "HyperParameterTuningJobConfig" "Amazonka.Forecast.Types.HyperParameterTuningJobConfig" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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 #

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

Eq InputDataConfig Source #
Instance details Defined in Amazonka.Forecast.Types.InputDataConfig Methods (==) :: InputDataConfig -> InputDataConfig -> Bool # (/=) :: InputDataConfig -> InputDataConfig -> Bool #
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 #
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 #
NFData InputDataConfig Source #
Instance details Defined in Amazonka.Forecast.Types.InputDataConfig Methods rnf :: InputDataConfig -> () #
Hashable InputDataConfig Source #
Instance details Defined in Amazonka.Forecast.Types.InputDataConfig Methods hashWithSalt :: Int -> InputDataConfig -> Int # hash :: InputDataConfig -> Int #
ToJSON InputDataConfig Source #
Instance details Defined in Amazonka.Forecast.Types.InputDataConfig Methods toJSON :: InputDataConfig -> Value # toEncoding :: InputDataConfig -> Encoding # toJSONList :: [InputDataConfig] -> Value # toEncodingList :: [InputDataConfig] -> Encoding #
FromJSON InputDataConfig Source #
Instance details Defined in Amazonka.Forecast.Types.InputDataConfig Methods parseJSON :: Value -> Parser InputDataConfig # parseJSONList :: Value -> Parser [InputDataConfig] #
type Rep InputDataConfig Source #
Instance details Defined in Amazonka.Forecast.Types.InputDataConfig type Rep InputDataConfig = D1 ('MetaData "InputDataConfig" "Amazonka.Forecast.Types.InputDataConfig" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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

Eq IntegerParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.IntegerParameterRange Methods (==) :: IntegerParameterRange -> IntegerParameterRange -> Bool # (/=) :: IntegerParameterRange -> IntegerParameterRange -> Bool #
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 #
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 #
NFData IntegerParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.IntegerParameterRange Methods rnf :: IntegerParameterRange -> () #
Hashable IntegerParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.IntegerParameterRange Methods hashWithSalt :: Int -> IntegerParameterRange -> Int # hash :: IntegerParameterRange -> Int #
ToJSON IntegerParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.IntegerParameterRange Methods toJSON :: IntegerParameterRange -> Value # toEncoding :: IntegerParameterRange -> Encoding # toJSONList :: [IntegerParameterRange] -> Value # toEncodingList :: [IntegerParameterRange] -> Encoding #
FromJSON IntegerParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.IntegerParameterRange Methods parseJSON :: Value -> Parser IntegerParameterRange # parseJSONList :: Value -> Parser [IntegerParameterRange] #
type Rep IntegerParameterRange Source #
Instance details Defined in Amazonka.Forecast.Types.IntegerParameterRange type Rep IntegerParameterRange = D1 ('MetaData "IntegerParameterRange" "Amazonka.Forecast.Types.IntegerParameterRange" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

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 [ErrorMetric]) (Maybe Double) (Maybe [WeightedQuantileLoss]) (Maybe Double)

Instances

Instances details

Eq Metrics Source #
Instance details Defined in Amazonka.Forecast.Types.Metrics Methods (==) :: Metrics -> Metrics -> Bool # (/=) :: Metrics -> Metrics -> Bool #
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 #
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 #
NFData Metrics Source #
Instance details Defined in Amazonka.Forecast.Types.Metrics Methods rnf :: Metrics -> () #
Hashable Metrics Source #
Instance details Defined in Amazonka.Forecast.Types.Metrics Methods hashWithSalt :: Int -> Metrics -> Int # hash :: Metrics -> Int #
FromJSON Metrics Source #
Instance details Defined in Amazonka.Forecast.Types.Metrics Methods parseJSON :: Value -> Parser Metrics # parseJSONList :: Value -> Parser [Metrics] #
type Rep Metrics Source #
Instance details Defined in Amazonka.Forecast.Types.Metrics type Rep Metrics = D1 ('MetaData "Metrics" "Amazonka.Forecast.Types.Metrics" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "Metrics'" 'PrefixI 'True) ((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])) :*: S1 ('MetaSel ('Just "averageWeightedQuantileLoss") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

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: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).

$sel:rmse: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.

$sel:averageWeightedQuantileLoss:Metrics', metrics_averageWeightedQuantileLoss - The average value of all weighted quantile losses.

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 IntegerParameterRange)) (Maybe (NonEmpty ContinuousParameterRange))

Instances

Instances details

Eq ParameterRanges Source #
Instance details Defined in Amazonka.Forecast.Types.ParameterRanges Methods (==) :: ParameterRanges -> ParameterRanges -> Bool # (/=) :: ParameterRanges -> ParameterRanges -> Bool #
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 #
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 #
NFData ParameterRanges Source #
Instance details Defined in Amazonka.Forecast.Types.ParameterRanges Methods rnf :: ParameterRanges -> () #
Hashable ParameterRanges Source #
Instance details Defined in Amazonka.Forecast.Types.ParameterRanges Methods hashWithSalt :: Int -> ParameterRanges -> Int # hash :: ParameterRanges -> Int #
ToJSON ParameterRanges Source #
Instance details Defined in Amazonka.Forecast.Types.ParameterRanges Methods toJSON :: ParameterRanges -> Value # toEncoding :: ParameterRanges -> Encoding # toJSONList :: [ParameterRanges] -> Value # toEncodingList :: [ParameterRanges] -> Encoding #
FromJSON ParameterRanges Source #
Instance details Defined in Amazonka.Forecast.Types.ParameterRanges Methods parseJSON :: Value -> Parser ParameterRanges # parseJSONList :: Value -> Parser [ParameterRanges] #
type Rep ParameterRanges Source #
Instance details Defined in Amazonka.Forecast.Types.ParameterRanges type Rep ParameterRanges = D1 ('MetaData "ParameterRanges" "Amazonka.Forecast.Types.ParameterRanges" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ParameterRanges'" 'PrefixI 'True) (S1 ('MetaSel ('Just "categoricalParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty CategoricalParameterRange))) :: (S1 ('MetaSel ('Just "integerParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty IntegerParameterRange))) :: S1 ('MetaSel ('Just "continuousParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty ContinuousParameterRange))))))

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:integerParameterRanges:ParameterRanges', parameterRanges_integerParameterRanges - Specifies the tunable range for each integer hyperparameter.

$sel:continuousParameterRanges:ParameterRanges', parameterRanges_continuousParameterRanges - Specifies the tunable range for each continuous 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 Text) (Maybe DataDestination) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX)

Instances

Instances details

Eq PredictorBacktestExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorBacktestExportJobSummary Methods (==) :: PredictorBacktestExportJobSummary -> PredictorBacktestExportJobSummary -> Bool # (/=) :: PredictorBacktestExportJobSummary -> PredictorBacktestExportJobSummary -> Bool #
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 #
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 #
NFData PredictorBacktestExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorBacktestExportJobSummary Methods rnf :: PredictorBacktestExportJobSummary -> () #
Hashable PredictorBacktestExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorBacktestExportJobSummary Methods hashWithSalt :: Int -> PredictorBacktestExportJobSummary -> Int # hash :: PredictorBacktestExportJobSummary -> Int #
FromJSON PredictorBacktestExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorBacktestExportJobSummary Methods parseJSON :: Value -> Parser PredictorBacktestExportJobSummary # parseJSONList :: Value -> Parser [PredictorBacktestExportJobSummary] #
type Rep PredictorBacktestExportJobSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorBacktestExportJobSummary type Rep PredictorBacktestExportJobSummary = D1 ('MetaData "PredictorBacktestExportJobSummary" "Amazonka.Forecast.Types.PredictorBacktestExportJobSummary" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "PredictorBacktestExportJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataDestination)))) :: ((S1 ('MetaSel ('Just "predictorBacktestExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "predictorBacktestExportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))))

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: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

$sel:destination:PredictorBacktestExportJobSummary', predictorBacktestExportJobSummary_destination - Undocumented member.

$sel:predictorBacktestExportJobArn:PredictorBacktestExportJobSummary', predictorBacktestExportJobSummary_predictorBacktestExportJobArn - The Amazon Resource Name (ARN) of the predictor backtest export job.

$sel:message:PredictorBacktestExportJobSummary', predictorBacktestExportJobSummary_message - Information about any errors that may have occurred during the backtest export.

$sel:predictorBacktestExportJobName:PredictorBacktestExportJobSummary', predictorBacktestExportJobSummary_predictorBacktestExportJobName - The name of the predictor backtest export job.

$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.

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

Eq PredictorExecution Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorExecution Methods (==) :: PredictorExecution -> PredictorExecution -> Bool # (/=) :: PredictorExecution -> PredictorExecution -> Bool #
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 #
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 #
NFData PredictorExecution Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorExecution Methods rnf :: PredictorExecution -> () #
Hashable PredictorExecution Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorExecution Methods hashWithSalt :: Int -> PredictorExecution -> Int # hash :: PredictorExecution -> Int #
FromJSON PredictorExecution Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorExecution Methods parseJSON :: Value -> Parser PredictorExecution # parseJSONList :: Value -> Parser [PredictorExecution] #
type Rep PredictorExecution Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorExecution type Rep PredictorExecution = D1 ('MetaData "PredictorExecution" "Amazonka.Forecast.Types.PredictorExecution" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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

Eq PredictorExecutionDetails Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorExecutionDetails Methods (==) :: PredictorExecutionDetails -> PredictorExecutionDetails -> Bool # (/=) :: PredictorExecutionDetails -> PredictorExecutionDetails -> Bool #
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 #
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 #
NFData PredictorExecutionDetails Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorExecutionDetails Methods rnf :: PredictorExecutionDetails -> () #
Hashable PredictorExecutionDetails Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorExecutionDetails Methods hashWithSalt :: Int -> PredictorExecutionDetails -> Int # hash :: PredictorExecutionDetails -> Int #
FromJSON PredictorExecutionDetails Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorExecutionDetails Methods parseJSON :: Value -> Parser PredictorExecutionDetails # parseJSONList :: Value -> Parser [PredictorExecutionDetails] #
type Rep PredictorExecutionDetails Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorExecutionDetails type Rep PredictorExecutionDetails = D1 ('MetaData "PredictorExecutionDetails" "Amazonka.Forecast.Types.PredictorExecutionDetails" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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.

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 Text) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX)

Instances

Instances details

Eq PredictorSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorSummary Methods (==) :: PredictorSummary -> PredictorSummary -> Bool # (/=) :: PredictorSummary -> PredictorSummary -> Bool #
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 #
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 #
NFData PredictorSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorSummary Methods rnf :: PredictorSummary -> () #
Hashable PredictorSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorSummary Methods hashWithSalt :: Int -> PredictorSummary -> Int # hash :: PredictorSummary -> Int #
FromJSON PredictorSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorSummary Methods parseJSON :: Value -> Parser PredictorSummary # parseJSONList :: Value -> Parser [PredictorSummary] #
type Rep PredictorSummary Source #
Instance details Defined in Amazonka.Forecast.Types.PredictorSummary type Rep PredictorSummary = D1 ('MetaData "PredictorSummary" "Amazonka.Forecast.Types.PredictorSummary" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "PredictorSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "status") '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 "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))))

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: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.

$sel:predictorArn:PredictorSummary', predictorSummary_predictorArn - The ARN of the predictor.

$sel:predictorName:PredictorSummary', predictorSummary_predictorName - The name of the predictor.

$sel:datasetGroupArn:PredictorSummary', predictorSummary_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group that contains the data used to train the predictor.

$sel:message:PredictorSummary', predictorSummary_message - If an error occurred, an informational message about the error.

$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.

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

Eq S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config Methods (==) :: S3Config -> S3Config -> Bool # (/=) :: S3Config -> S3Config -> Bool #
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 #
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 #
NFData S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config Methods rnf :: S3Config -> () #
Hashable S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config Methods hashWithSalt :: Int -> S3Config -> Int # hash :: S3Config -> Int #
ToJSON S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config Methods toJSON :: S3Config -> Value # toEncoding :: S3Config -> Encoding # toJSONList :: [S3Config] -> Value # toEncodingList :: [S3Config] -> Encoding #
FromJSON S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config Methods parseJSON :: Value -> Parser S3Config # parseJSONList :: Value -> Parser [S3Config] #
type Rep S3Config Source #
Instance details Defined in Amazonka.Forecast.Types.S3Config type Rep S3Config = D1 ('MetaData "S3Config" "Amazonka.Forecast.Types.S3Config" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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. You specify this object in the CreateDataset request.

See: newSchema smart constructor.

Constructors

Schema' (Maybe (NonEmpty SchemaAttribute))

Instances

Instances details

Eq Schema Source #
Instance details Defined in Amazonka.Forecast.Types.Schema Methods (==) :: Schema -> Schema -> Bool # (/=) :: Schema -> Schema -> Bool #
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 #
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 #
NFData Schema Source #
Instance details Defined in Amazonka.Forecast.Types.Schema Methods rnf :: Schema -> () #
Hashable Schema Source #
Instance details Defined in Amazonka.Forecast.Types.Schema Methods hashWithSalt :: Int -> Schema -> Int # hash :: Schema -> Int #
ToJSON Schema Source #
Instance details Defined in Amazonka.Forecast.Types.Schema Methods toJSON :: Schema -> Value # toEncoding :: Schema -> Encoding # toJSONList :: [Schema] -> Value # toEncodingList :: [Schema] -> Encoding #
FromJSON Schema Source #
Instance details Defined in Amazonka.Forecast.Types.Schema Methods parseJSON :: Value -> Parser Schema # parseJSONList :: Value -> Parser [Schema] #
type Rep Schema Source #
Instance details Defined in Amazonka.Forecast.Types.Schema type Rep Schema = D1 ('MetaData "Schema" "Amazonka.Forecast.Types.Schema" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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 AttributeType) (Maybe Text)

Instances

Instances details

Eq SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute Methods (==) :: SchemaAttribute -> SchemaAttribute -> Bool # (/=) :: SchemaAttribute -> SchemaAttribute -> Bool #
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 #
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 #
NFData SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute Methods rnf :: SchemaAttribute -> () #
Hashable SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute Methods hashWithSalt :: Int -> SchemaAttribute -> Int # hash :: SchemaAttribute -> Int #
ToJSON SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute Methods toJSON :: SchemaAttribute -> Value # toEncoding :: SchemaAttribute -> Encoding # toJSONList :: [SchemaAttribute] -> Value # toEncodingList :: [SchemaAttribute] -> Encoding #
FromJSON SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute Methods parseJSON :: Value -> Parser SchemaAttribute # parseJSONList :: Value -> Parser [SchemaAttribute] #
type Rep SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute type Rep SchemaAttribute = D1 ('MetaData "SchemaAttribute" "Amazonka.Forecast.Types.SchemaAttribute" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "SchemaAttribute'" 'PrefixI 'True) (S1 ('MetaSel ('Just "attributeType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AttributeType)) :*: S1 ('MetaSel ('Just "attributeName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

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:attributeType:SchemaAttribute', schemaAttribute_attributeType - The data type of the field.

$sel:attributeName:SchemaAttribute', schemaAttribute_attributeName - The name of the dataset field.

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 Text) (Maybe Integer) (Maybe Int) (Maybe Integer) (Maybe Double) (Maybe Int) (Maybe Int) (Maybe Integer) (Maybe Double) (Maybe Text) (Maybe Integer) (Maybe Int)

Instances

Instances details

Eq Statistics Source #
Instance details Defined in Amazonka.Forecast.Types.Statistics Methods (==) :: Statistics -> Statistics -> Bool # (/=) :: Statistics -> Statistics -> Bool #
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 #
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 #
NFData Statistics Source #
Instance details Defined in Amazonka.Forecast.Types.Statistics Methods rnf :: Statistics -> () #
Hashable Statistics Source #
Instance details Defined in Amazonka.Forecast.Types.Statistics Methods hashWithSalt :: Int -> Statistics -> Int # hash :: Statistics -> Int #
FromJSON Statistics Source #
Instance details Defined in Amazonka.Forecast.Types.Statistics Methods parseJSON :: Value -> Parser Statistics # parseJSONList :: Value -> Parser [Statistics] #
type Rep Statistics Source #
Instance details Defined in Amazonka.Forecast.Types.Statistics type Rep Statistics = D1 ('MetaData "Statistics" "Amazonka.Forecast.Types.Statistics" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "Statistics'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "max") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "countNullLong") '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 "avg") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "countNull") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))))) :: ((S1 ('MetaSel ('Just "count") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: (S1 ('MetaSel ('Just "countLong") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: S1 ('MetaSel ('Just "stddev") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :: (S1 ('MetaSel ('Just "min") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "countDistinctLong") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :*: S1 ('MetaSel ('Just "countDistinct") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)))))))

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:max:Statistics', statistics_max - For a numeric field, the maximum value in the field.

$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: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:avg:Statistics', statistics_avg - For a numeric field, the average value in the field.

$sel:countNull:Statistics', statistics_countNull - The number of null values in the field. If the response value is -1, refer to CountNullLong.

$sel:count:Statistics', statistics_count - The number of values in the field. If the response value is -1, refer to CountLong.

$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:stddev:Statistics', statistics_stddev - For a numeric field, the standard deviation.

$sel:min:Statistics', statistics_min - For a numeric field, the minimum value in the field.

$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:countDistinct:Statistics', statistics_countDistinct - The number of distinct values in the field. If the response value is -1, refer to CountDistinctLong.

SupplementaryFeature

data SupplementaryFeature Source #

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

Eq SupplementaryFeature Source #
Instance details Defined in Amazonka.Forecast.Types.SupplementaryFeature Methods (==) :: SupplementaryFeature -> SupplementaryFeature -> Bool # (/=) :: SupplementaryFeature -> SupplementaryFeature -> Bool #
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 #
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 #
NFData SupplementaryFeature Source #
Instance details Defined in Amazonka.Forecast.Types.SupplementaryFeature Methods rnf :: SupplementaryFeature -> () #
Hashable SupplementaryFeature Source #
Instance details Defined in Amazonka.Forecast.Types.SupplementaryFeature Methods hashWithSalt :: Int -> SupplementaryFeature -> Int # hash :: SupplementaryFeature -> Int #
ToJSON SupplementaryFeature Source #
Instance details Defined in Amazonka.Forecast.Types.SupplementaryFeature Methods toJSON :: SupplementaryFeature -> Value # toEncoding :: SupplementaryFeature -> Encoding # toJSONList :: [SupplementaryFeature] -> Value # toEncodingList :: [SupplementaryFeature] -> Encoding #
FromJSON SupplementaryFeature Source #
Instance details Defined in Amazonka.Forecast.Types.SupplementaryFeature Methods parseJSON :: Value -> Parser SupplementaryFeature # parseJSONList :: Value -> Parser [SupplementaryFeature] #
type Rep SupplementaryFeature Source #
Instance details Defined in Amazonka.Forecast.Types.SupplementaryFeature type Rep SupplementaryFeature = D1 ('MetaData "SupplementaryFeature" "Amazonka.Forecast.Types.SupplementaryFeature" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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

Eq Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag Methods (==) :: Tag -> Tag -> Bool # (/=) :: Tag -> Tag -> Bool #
Show Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag Methods showsPrec :: Int -> Tag -> ShowS # show :: Tag -> String # showList :: [Tag] -> ShowS #
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 #
NFData Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag Methods rnf :: Tag -> () #
Hashable Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag Methods hashWithSalt :: Int -> Tag -> Int # hash :: Tag -> Int #
ToJSON Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag Methods toJSON :: Tag -> Value # toEncoding :: Tag -> Encoding # toJSONList :: [Tag] -> Value # toEncodingList :: [Tag] -> Encoding #
FromJSON Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag Methods parseJSON :: Value -> Parser Tag # parseJSONList :: Value -> Parser [Tag] #
type Rep Tag Source #
Instance details Defined in Amazonka.Forecast.Types.Tag type Rep Tag = D1 ('MetaData "Tag" "Amazonka.Forecast.Types.Tag" "libZSservicesZSamazonka-forecastZSamazonka-forecast" '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 POSIX) (Maybe POSIX) (Maybe Text)

Instances

Instances details

Eq TestWindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.TestWindowSummary Methods (==) :: TestWindowSummary -> TestWindowSummary -> Bool # (/=) :: TestWindowSummary -> TestWindowSummary -> Bool #
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 #
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 #
NFData TestWindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.TestWindowSummary Methods rnf :: TestWindowSummary -> () #
Hashable TestWindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.TestWindowSummary Methods hashWithSalt :: Int -> TestWindowSummary -> Int # hash :: TestWindowSummary -> Int #
FromJSON TestWindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.TestWindowSummary Methods parseJSON :: Value -> Parser TestWindowSummary # parseJSONList :: Value -> Parser [TestWindowSummary] #
type Rep TestWindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.TestWindowSummary type Rep TestWindowSummary = D1 ('MetaData "TestWindowSummary" "Amazonka.Forecast.Types.TestWindowSummary" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "TestWindowSummary'" 'PrefixI 'True) ((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)) :*: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

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: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.

$sel:message:TestWindowSummary', testWindowSummary_message - If the test failed, the reason why it failed.

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

Eq WeightedQuantileLoss Source #
Instance details Defined in Amazonka.Forecast.Types.WeightedQuantileLoss Methods (==) :: WeightedQuantileLoss -> WeightedQuantileLoss -> Bool # (/=) :: WeightedQuantileLoss -> WeightedQuantileLoss -> Bool #
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 #
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 #
NFData WeightedQuantileLoss Source #
Instance details Defined in Amazonka.Forecast.Types.WeightedQuantileLoss Methods rnf :: WeightedQuantileLoss -> () #
Hashable WeightedQuantileLoss Source #
Instance details Defined in Amazonka.Forecast.Types.WeightedQuantileLoss Methods hashWithSalt :: Int -> WeightedQuantileLoss -> Int # hash :: WeightedQuantileLoss -> Int #
FromJSON WeightedQuantileLoss Source #
Instance details Defined in Amazonka.Forecast.Types.WeightedQuantileLoss Methods parseJSON :: Value -> Parser WeightedQuantileLoss # parseJSONList :: Value -> Parser [WeightedQuantileLoss] #
type Rep WeightedQuantileLoss Source #
Instance details Defined in Amazonka.Forecast.Types.WeightedQuantileLoss type Rep WeightedQuantileLoss = D1 ('MetaData "WeightedQuantileLoss" "Amazonka.Forecast.Types.WeightedQuantileLoss" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "WeightedQuantileLoss'" 'PrefixI 'True) (S1 ('MetaSel ('Just "quantile") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "lossValue") '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: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.

$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.

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 Metrics) (Maybe POSIX) (Maybe EvaluationType) (Maybe POSIX) (Maybe Int)

Instances

Instances details

Eq WindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WindowSummary Methods (==) :: WindowSummary -> WindowSummary -> Bool # (/=) :: WindowSummary -> WindowSummary -> Bool #
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 #
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 #
NFData WindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WindowSummary Methods rnf :: WindowSummary -> () #
Hashable WindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WindowSummary Methods hashWithSalt :: Int -> WindowSummary -> Int # hash :: WindowSummary -> Int #
FromJSON WindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WindowSummary Methods parseJSON :: Value -> Parser WindowSummary # parseJSONList :: Value -> Parser [WindowSummary] #
type Rep WindowSummary Source #
Instance details Defined in Amazonka.Forecast.Types.WindowSummary type Rep WindowSummary = D1 ('MetaData "WindowSummary" "Amazonka.Forecast.Types.WindowSummary" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "WindowSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "metrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Metrics)) :: S1 ('MetaSel ('Just "testWindowEnd") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "evaluationType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EvaluationType)) :: (S1 ('MetaSel ('Just "testWindowStart") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "itemCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))))))

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: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:evaluationType:WindowSummary', windowSummary_evaluationType - The type of evaluation.

SUMMARY - The average metrics across all windows.
COMPUTED - The metrics for the specified window.

$sel:testWindowStart:WindowSummary', windowSummary_testWindowStart - The timestamp that defines the start of the window.

$sel:itemCount:WindowSummary', windowSummary_itemCount - The number of data points within the window.