Version 0.30.0

April 26, 2021 · View on GitHub

Major Features and Improvements

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.

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.