tft.get_analyze_input_columns

Return columns that are required inputs of AnalyzeDataset.

tft.get_analyze_input_columns(
    preprocessing_fn: Callable[[Mapping[str, common_types.TensorType]], Mapping[str, common_types
        .TensorType]],
    specs: Mapping[str, Union[common_types.FeatureSpecType, tf.TypeSpec]],
    force_tf_compat_v1: bool = False
) -> List[str]

Args
`preprocessing_fn`	A tf.transform preprocessing_fn.
`specs`	A dict of feature name to tf.TypeSpecs. If `force_tf_compat_v1` is True, this can also be feature specifications.
`force_tf_compat_v1`	(Optional) If `True`, use Tensorflow in compat.v1 mode. Defaults to `False`.

Returns
A list of columns that are required inputs of analyzers.

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Last updated 2024-11-01 UTC.

tft.get_analyze_input_columns

Args

Returns