tft.get_transform_input_columns
Stay organized with collections
Save and categorize content based on your preferences.
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 .
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-11-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-11-01 UTC."],[],[]]