TensorFlow Transform 1.13.0

Major Features and Improvements

• RaggedTensors can now be automatically inferred for variable length
  features by setting represent_variable_length_as_ragged=true in TFMD
  schema.
• New experimental APIs added for annotating sparse output tensors:
  tft.experimental.annotate_sparse_output_shape and
  tft.experimental.annotate_true_sparse_output.
• DatasetKey.non_cacheable added to allow for some datasets to not produce
  cache. This may be useful for gradual cache generation when operating on a
  large rolling range of datasets.
• Vocabularies produced by compute_and_apply_vocabulary can now store
  frequencies. Controlled by the store_frequency parameter.

Bug Fixes and Other Changes

• Depends on numpy~=1.22.0.
• Depends on tensorflow>=2.12.0,<2.13.
• Depends on protobuf>=3.20.3,<5.
• Depends on tensorflow-metadata>=1.13.1,<1.14.0.
• Depends on tfx-bsl>=1.13.0,<1.14.0.
• Modifies get_vocabulary_size_by_name to return a minimum of 1.

Breaking Changes

• N/A

Deprecations

• Deprecated python 3.7 support.