class Aws::ForecastService::Types::Featurization

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”}`

`} ]`

`}`

@note When making an API call, you may pass Featurization

data as a hash:

    {
      attribute_name: "Name", # required
      featurization_pipeline: [
        {
          featurization_method_name: "filling", # required, accepts filling
          featurization_method_parameters: {
            "ParameterKey" => "ParameterValue",
          },
        },
      ],
    }

@!attribute [rw] attribute_name

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.
@return [String]

@!attribute [rw] featurization_pipeline

An array of one `FeaturizationMethod` object that specifies the
feature transformation method.
@return [Array<Types::FeaturizationMethod>]

@see docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/Featurization AWS API Documentation

Constants

SENSITIVE