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Major Features and Improvements
N/A
Bug Fixes and Other Changes
Removed the dataset_schema module, most methods in it have been deprecated
since version 0.14.
Fix a bug where having an analyzer operate on the output of tft.vocabulary
would cause it to evaluate incorrectly when force_tf_compat_v1=False with
TF2 behaviors enabled.
Depends on tensorflow-metadata>=0.30.0,<0.31.0.
Depends on tfx-bsl>=0.30.0,<0.31.0.
Breaking Changes
DatasetMetadata no longer accepts a dict as its input schema. schema is
expected to be a Schema proto now.
TF 1.15 specific APIs apply_saved_model and apply_function_with_checkpoint were removed from the tft namespace. They
are still available under the pretrained_models module.
tft.AnalyzeDataset, tft.AnalyzeDatasetWithCache, tft.AnalyzeAndTransformDataset and tft.TransformDataset will use the
native TF2 implementation of tf.transform unless TF2 behaviors are
explicitly disabled. The previous behaviour can still be obtained by setting tft.Context.force_tf_compat_v1=True.