tfma.metrics.CombinedFeaturePreprocessor
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Returns preprocessor for incl combined features in StandardMetricInputs.
tfma.metrics.CombinedFeaturePreprocessor(
feature_keys: Iterable[str],
include_default_inputs: bool = True,
model_names: Optional[Iterable[str]] = None,
output_names: Optional[Iterable[str]] = None
) -> StandardMetricInputsPreprocessor
Args |
|---|
feature_keys | List of feature keys. An empty list means all. |
include_default_inputs | True to include default inputs (labels, predictions, example weights) in addition to the transformed features. |
model_names | Optional model names (required if transformed_features used with multi-model evaluations). |
output_names | Optional output names. Only used if include_default_inputs is True. If unset all outputs will be included with the default inputs. |
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Last updated 2024-04-26 UTC.
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