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NAMEPaws::Forecast::Featurization USAGEThis class represents one of two things: Arguments in a call to a service Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object. As an example, if Att1 is expected to be a Paws::Forecast::Featurization object: $service_obj->Method(Att1 => { AttributeName => $value, ..., FeaturizationPipeline => $value }); Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::Forecast::Featurization object: $result = $service_obj->Method(...); $result->Att1->AttributeName DESCRIPTIONProvides 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"}" "} ]" "}" ATTRIBUTESREQUIRED AttributeName => StrThe 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. FeaturizationPipeline => ArrayRef[Paws::Forecast::FeaturizationMethod]An array of one "FeaturizationMethod" object that specifies the feature transformation method. SEE ALSOThis class forms part of Paws, describing an object used in Paws::Forecast BUGS and CONTRIBUTIONSThe source code is located here: <https://github.com/pplu/aws-sdk-perl> Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>
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