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'tft.vocabulary' and 'tft.compute_and_apply_vocabulary' now support filtering
based on mutual information when labels is provided.
Export all package level exports of tensorflow_transform, from the tensorflow_transform.beam subpackage. This allows users to just import the tensorflow_transform.beam subpackage for all functionality.
Adding API docs.
Fix bug where Transform returned a different dtype for a VarLenFeature with
0 elements.
Depends on apache-beam[gcp]>=2.8,<3.
Breaking changes
Requires pre-installed TensorFlow >=1.11,<2.
Deprecations
All functions in tensorflow_transform.saved.input_fn_maker are deprecated.
See the examples for how to construct the input_fn for training and serving.
Note that the examples demonstrate the use of the tf.estimator API. The
functions named *_serving_input_fn were for use with the tf.contrib.estimator API which is now deprecated. We do not provide
examples of usage of the tf.contrib.estimator API, instead users should
upgrade to the tf.estimator API.