TensorFlow Transform 1.8.0

Major Features and Improvements

• Adds tft.DatasetMetadata and its factory method from_feature_spec as
  public APIs to be used when using the "instance dict" data format.

Bug Fixes and Other Changes

• Depends on apache-beam[gcp]>=2.38,<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>=1.8.0,<1.9.0.
• Depends on tfx-bsl>=1.8.0,<1.9.0.

Breaking Changes

• N/A

Deprecations

• N/A

TensorFlow Transform 1.6.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on
  tensorflow>=1.15.5,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<2.9.

Breaking Changes

• N/A

Deprecations

• N/A

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

TensorFlow Transform 1.4.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on future package.

Breaking Changes

• N/A

Deprecations

• N/A

TensorFlow Transform 1.6.0

Major Features and Improvements

• Introduced tft.experimental.get_vocabulary_size_by_name that can retrieve
  the size of a vocabulary computed using tft.vocabulary within the
  preprocessing_fn.
• tft.experimental.ptransform_analyzer now supports analyzer cache using the
  newly added tft.experimental.CacheablePTransformAnalyzer container.
• tft.bucketize_per_key now supports weights.

Bug Fixes and Other Changes

• Depends on numpy>=1.16,<2.
• Depends on apache-beam[gcp]>=2.35,<3.
• Depends on absl-py>=0.9,<2.0.0.
• Depends on tensorflow-metadata>=1.6.0,<1.7.0.
• Depends on tfx-bsl>=1.6.0,<1.7.0.
• Depends on
  tensorflow>=1.15.5,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<3.

Breaking Changes

• N/A

Deprecations

• N/A

TensorFlow Transform 1.5.0

Major Features and Improvements

• Introduced tft.experimental.approximate_vocabulary analyzer that is an
  approximate version of tft.vocabulary which is more efficient with smaller
  number of unique elements or top_k threshold.

Bug Fixes and Other Changes

• Raise a RuntimeError if order of analyzers in traced Tensorflow Graph is
  non-deterministic in TF2.
• Fix issue where a tft.experimental.ptransform_analyzer's output dtype
  could be propagated incorrectly if it was a primitive as opposed to
  np.ndarray.
• Depends on apache-beam[gcp]>=2.34,<3.
• Depends on
  tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<2.8.
• Depends on tensorflow-metadata>=1.5.0,<1.6.0.
• Depends on tfx-bsl>=1.5.0,<1.6.0.

Breaking Changes

• N/A

Deprecations

• N/A

TensorFlow Transform 1.4.0

Major Features and Improvements

• Added tf.RaggedTensor support to all analyzers and mappers with
  reduce_instance_dims=True.

Bug Fixes and Other Changes

• Fix re-loading a transform graph containing pyfuncs exported as a TF1
  SavedModel(added using tft.apply_pyfunc) in TF2.
• Depends on pyarrow>=1,<6.
• Depends on tensorflow-metadata>=1.4.0,<1.5.0.
• Depends on tfx-bsl>=1.4.0,<1.5.0.
• Depends on apache-beam[gcp]>=2.33,<3.

Breaking Changes

• N/A

Deprecations

• Deprecated python 3.6 support.

TensorFlow Transform 1.3.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• tft.quantiles, tft.mean and tft.var now ignore NaNs and infinite input
  values. Previously, these would lead to incorrect output calculation.
• Improved error message for tft_beam.AnalyzeDataset,
  tft_beam.AnalyzeAndTransformDataset and tft_beam.AnalyzeDatasetWithCache
  when the input metadata is empty.
• Added best-effort TensorFlow Decision Forests (TF-DF) and Struct2Tensor op
  registration when loading transformation graphs.
• Depends on
  tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,<2.7.
• Depends on tfx-bsl>=1.3.0,<1.4.0.

Breaking Changes

• Existing tft.mean and tft.var caches are automatically invalidated.

Deprecations

• N/A

TensorFlow Transform

Major Features and Improvements

• Added RaggedTensor support to output schema inference and transformed
  tensors conversion to instance dicts and pa.RecordBatch with TF 2.x.

Bug Fixes and Other Changes

• Depends on apache-beam[gcp]>=2.31,<3.
• Depends on tensorflow-metadata>=1.2.0,<1.3.0.
• Depends on tfx-bsl>=1.2.0,<1.3.0.

Breaking Changes

• N/A

Deprecations

• N/A

TensorFlow Transform 1.1.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on google-cloud-bigquery>=1.28.0,<2.21.
• Depends on tfx-bsl>=1.1.1,<1.2.0.

Breaking Changes

• N/A

Deprecations

• N/A