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Featurization

Source code in docs_src/capo_forecast/types/featurization.py 
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class Featurization(TypedDict, closed=True):
    attribute_name: "capo_forecast.types.name.Name"
    """<p>The name of the schema attribute that specifies the data field to be featurized. Amazon Forecast supports the target field of the <code>TARGET_TIME_SERIES</code> and the <code>RELATED_TIME_SERIES</code> datasets. For example, for the <code>RETAIL</code> domain, the target is <code>demand</code>, and for the <code>CUSTOM</code> domain, the target is <code>target_value</code>. For more information, see <a>howitworks-missing-values</a>.</p>"""
    featurization_pipeline: NotRequired[
        "capo_forecast.types.featurization_pipeline.FeaturizationPipeline"
    ]
    """<p>An array of one <code>FeaturizationMethod</code> object that specifies the feature transformation method.</p>"""

attribute_name instance-attribute 

attribute_name: 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.

featurization_pipeline instance-attribute 

featurization_pipeline: NotRequired[FeaturizationPipeline]

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