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