TensorFlow Transform 0.29.0

Major Features and Improvements

• tft.AnalyzeAndTransformDataset and tft.TransformDataset can now output
  pyarrow.RecordBatches. This is controlled by a parameter
  output_record_batches which is set to False by default.

Bug Fixes and Other Changes

• Added tft.make_and_track_object to load and track tf.Trackable objects
  created inside the preprocessing_fn (for example, tf.hub models). This API
  should only be used when force_tf_compat_v1=False and TF2 behavior is
  enabled.
• The decode method of the available coders (tft.coders.CsvCoder and
  tft.coders.ExampleProtoCoder) have been removed. These were deprecated in
  the 0.25 release.
  Canned TFXIO implementations
  should be used to read and decode data instead.
• Previously deprecated APIs were removed: tft.uniques (replaced by
  tft.vocabulary), tft.string_to_int (replaced by
  tft.compute_and_apply_vocabulary), tft.apply_vocab (replaced by
  tft.apply_vocabulary), and tft.apply_function (identity function).
• Removed the always_return_num_quantiles arg of tft.quantiles and
  tft.bucketize which was deprecated in version 0.26.
• Added support for count_params method to the TransformFeaturesLayer.
  This will allow to call Keras Model's summary() method if the model is
  using the TransformFeaturesLayer.
• Depends on absl-py>=0.9,<0.13.
• Depends on tensorflow-metadata>=0.29.0,<0.30.0.
• Depends on tfx-bsl>=0.29.0,<0.30.0.

Breaking Changes

• Existing caches (for all analyzers) are automatically invalidated.

Deprecations

• N/A