Amazonka.Forecast.Types.DataConfig

Documentation

data DataConfig

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

FromJSON DataConfig

Defined in Amazonka.Forecast.Types.DataConfig

Methods

parseJSON :: Value -> Parser DataConfig

parseJSONList :: Value -> Parser [DataConfig]

ToJSON DataConfig

Defined in Amazonka.Forecast.Types.DataConfig

Methods

toJSON :: DataConfig -> Value

toEncoding :: DataConfig -> Encoding

toJSONList :: [DataConfig] -> Value

toEncodingList :: [DataConfig] -> Encoding

Generic DataConfig

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

Defined in Amazonka.Forecast.Types.DataConfig

Methods

readsPrec :: Int -> ReadS DataConfig

readList :: ReadS [DataConfig]

readPrec :: ReadPrec DataConfig

readListPrec :: ReadPrec [DataConfig]

Show DataConfig

Defined in Amazonka.Forecast.Types.DataConfig

Methods

showsPrec :: Int -> DataConfig -> ShowS

show :: DataConfig -> String

showList :: [DataConfig] -> ShowS

NFData DataConfig

Defined in Amazonka.Forecast.Types.DataConfig

Methods

rnf :: DataConfig -> ()

Eq DataConfig

Defined in Amazonka.Forecast.Types.DataConfig

Methods

(==) :: DataConfig -> DataConfig -> Bool

(/=) :: DataConfig -> DataConfig -> Bool

Hashable DataConfig

Defined in Amazonka.Forecast.Types.DataConfig

Methods

hashWithSalt :: Int -> DataConfig -> Int

hash :: DataConfig -> Int

type Rep DataConfig

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

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))

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

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

Aggregation and filling options for attributes in your dataset group.

dataConfig_datasetGroupArn :: Lens' DataConfig Text

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