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Class: Aws::ForecastService::Types::Featurization

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing Featurization as input to an Aws::Client method, you can use a vanilla Hash:

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

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 Also:

Instance Attribute Summary collapse

Instance Attribute Details

#attribute_name ⇒ String

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.

Returns:

  • (String) —

    The name of the schema attribute that specifies the data field to be featurized.

#featurization_pipeline ⇒ Array<Types::FeaturizationMethod>

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

Returns:

  • (Array<Types::FeaturizationMethod>) —

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