TensorFlow Transform 1.7.0

Major Features and Improvements

• Introduced tft.experimental.compute_and_apply_approximate_vocabulary which
  computes and applies an approximate vocabulary.

Bug Fixes and Other Changes

• Fix an issue when tft.experimental.approximate_vocabulary with text
  output format would not filter out tokens with newline characters.
• Add a dummy value to the result of tft.experimental.approximate_vocabulary
  as is done for the exact variant, in order for downstream code to easily
  handle it.
• Update tft.get_analyze_input_columns to ensure its output includes
  preprocessing_fn inputs which are not used in any TFT analyzers, but end
  up in a control dependency (automatic control dependencies are not present
  in TF1, hence this change will only affect the native TF2 implementation).
• Assign different resource hint tags to both orginal and cloned PTransforms
  in deep copy optimization. The reason of adding these tags is to prevent
  root Reads that are generated from deep copy being merged due to common
  subexpression elimination.
• Fixed an issue when large int64 values would be incorrectly bucketized in
  tft.apply_buckets.
• Depends on apache-beam[gcp]>=2.36,<3.
• Depends on
  tensorflow>=1.15.5,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,<2.9.
• Depends on tensorflow-metadata>=1.7.0,<1.8.0.
• Depends on tfx-bsl>=1.7.0,<1.8.0.

Breaking Changes

• N/A

Deprecations

• N/A