Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.Forecast.Types.DataConfig

Description

Documentation

data DataConfig Source #

The data configuration for your dataset group and any additional datasets.

See: newDataConfig smart constructor.

Constructors

DataConfig'
Fields additionalDatasets :: Maybe (NonEmpty AdditionalDataset) Additional built-in datasets like Holidays and the Weather Index. attributeConfigs :: Maybe (NonEmpty AttributeConfig) Aggregation and filling options for attributes in your dataset group. datasetGroupArn :: Text The ARN of the dataset group used to train the predictor.

Instances

Instances details

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

newDataConfig Source #

Arguments

:: Text	`$sel:datasetGroupArn:DataConfig'`
-> DataConfig

Create a value of DataConfig with all optional fields omitted.

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

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

$sel:additionalDatasets:DataConfig', dataConfig_additionalDatasets - Additional built-in datasets like Holidays and the Weather Index.

$sel:attributeConfigs:DataConfig', dataConfig_attributeConfigs - Aggregation and filling options for attributes in your dataset group.

$sel:datasetGroupArn:DataConfig', dataConfig_datasetGroupArn - The ARN of the dataset group used to train the predictor.

dataConfig_additionalDatasets :: Lens' DataConfig (Maybe (NonEmpty AdditionalDataset)) Source #

Additional built-in datasets like Holidays and the Weather Index.

dataConfig_attributeConfigs :: Lens' DataConfig (Maybe (NonEmpty AttributeConfig)) Source #

Aggregation and filling options for attributes in your dataset group.

dataConfig_datasetGroupArn :: Lens' DataConfig Text Source #

The ARN of the dataset group used to train the predictor.