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.Types.Featurization

Description

Documentation

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'

Fields

featurizationPipeline :: Maybe (NonEmpty FeaturizationMethod)
An array of one FeaturizationMethod object that specifies the feature transformation method.
attributeName :: Text
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.

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.

featurization_featurizationPipeline :: Lens' Featurization (Maybe (NonEmpty FeaturizationMethod)) Source #

An array of one FeaturizationMethod object that specifies the feature transformation method.

featurization_attributeName :: Lens' Featurization Text Source #

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.