tfma.metrics.FeaturePreprocessor

Returns preprocessor for including features in StandardMetricInputs.

tfma.metrics.FeaturePreprocessor(
    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 features.
model_names	Optional model names. Only used if include_default_inputs is True. If unset all models will be included with the default inputs.
output_names	Optional output names. Only used if include_default_inputs is True. If unset all outputs will be included with the default inputs.