amazonka-forecast-2.0: Amazon Forecast Service SDK.
Copyright(c) 2013-2023 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellSafe-Inferred
LanguageHaskell2010

Amazonka.Forecast.Types.FeaturizationMethod

Description

 
Synopsis

Documentation

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' 

Fields

  • featurizationMethodParameters :: Maybe (HashMap Text Text)

    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".

  • featurizationMethodName :: FeaturizationMethodName

    The name of the method. The "filling" method is the only supported method.

Instances

Instances details
FromJSON FeaturizationMethod Source # 
Instance details

Defined in Amazonka.Forecast.Types.FeaturizationMethod

ToJSON FeaturizationMethod Source # 
Instance details

Defined in Amazonka.Forecast.Types.FeaturizationMethod

Generic FeaturizationMethod Source # 
Instance details

Defined in Amazonka.Forecast.Types.FeaturizationMethod

Associated Types

type Rep FeaturizationMethod :: Type -> Type #

Read FeaturizationMethod Source # 
Instance details

Defined in Amazonka.Forecast.Types.FeaturizationMethod

Show FeaturizationMethod Source # 
Instance details

Defined in Amazonka.Forecast.Types.FeaturizationMethod

NFData FeaturizationMethod Source # 
Instance details

Defined in Amazonka.Forecast.Types.FeaturizationMethod

Methods

rnf :: FeaturizationMethod -> () #

Eq FeaturizationMethod Source # 
Instance details

Defined in Amazonka.Forecast.Types.FeaturizationMethod

Hashable FeaturizationMethod Source # 
Instance details

Defined in Amazonka.Forecast.Types.FeaturizationMethod

type Rep FeaturizationMethod Source # 
Instance details

Defined in Amazonka.Forecast.Types.FeaturizationMethod

type Rep FeaturizationMethod = D1 ('MetaData "FeaturizationMethod" "Amazonka.Forecast.Types.FeaturizationMethod" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "FeaturizationMethod'" 'PrefixI 'True) (S1 ('MetaSel ('Just "featurizationMethodParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "featurizationMethodName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 FeaturizationMethodName)))

newFeaturizationMethod Source #

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.

featurizationMethod_featurizationMethodParameters :: Lens' FeaturizationMethod (Maybe (HashMap Text Text)) Source #

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".

featurizationMethod_featurizationMethodName :: Lens' FeaturizationMethod FeaturizationMethodName Source #

The name of the method. The "filling" method is the only supported method.