Release 0.13.0

Major Features and Improvements

• Now AnalyzeDataset, TransformDataset and AnalyzeAndTransformDataset can
  accept input data that only contains columns needed for that operation as
  opposed to all columns defined in schema. Utility methods to infer the list of
  needed columns are added to tft.inspect_preprocessing_fn. This makes it
  easier to take advantage of columnar projection when data is stored in
  columnar storage formats.
• Python 3.5 is supported.

Bug Fixes and Other Changes

• Version is now accessible as tensorflow_transform.__version__.
• Depends on apache-beam[gcp]>=2.11,<3.
• Depends on protobuf>=3.7,<4.

Breaking changes

• Coders now return index and value features rather than a combined feature for
  SparseFeature.
• Requires pre-installed TensorFlow >=1.13,<2.

Deprecations