Return columns that are required inputs of TransformDataset
.
tft.get_transform_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 the transform tf.Graph
defined by preprocessing_fn .
|