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We now provide helper methods for creating serving_input_receiver_fn for use
with tf.estimator. These mirror the existing functions targeting the
legacy tf.contrib.learn.estimators-- i.e. for each *_serving_input_fn()
in input_fn_maker there is now also a *_serving_input_receiver_fn().
Bug Fixes and Other Changes
Introduced tft.apply_vocab this allows users to separately apply a single
vocabulary (as generated by tft.uniques) to several different columns.
Provide a source distribution tar tensorflow-transform-X.Y.Z.tar.gz.
Breaking changes
The default prefix for tft.string_to_intvocab_filename changed from vocab_string_to_int to vocab_string_to_int_uniques. To make your pipelines
resilient to implementation details please set vocab_filename if you are using
the generated vocab_filename on a downstream component.