Tensorflow-transform

Major Features and Improvements

* N/A

Bug Fixes and Other Changes

* Depends on `future` package.

Breaking Changes

* N/A

Deprecations

* N/A

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.

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

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

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>=1.1.0,<1.2.0`.

Breaking Changes

* N/A

Deprecations

* N/A

Major Features and Improvements

* Improved resource usage for `tft.vocabulary` when `top_k` is set by removing
stages performing repetitive sorting.

Bug Fixes and Other Changes

* Support invoking Keras models inside the `preprocessing_fn` using
`tft.make_and_track_object` when `force_tf_compat_v1=False` with TF2
behaviors enabled.
* Fix an issue when computing the metadata for a function with automatic
control dependencies added where dependencies on inputs which should not be
evaluated was being retained.
* Census TFT example: wrapped table initialization with a tf.init_scope() in
order to avoid reinitializing the table for each batch of data.
* Stopped depending on `six`.
* Depends on `protobuf>=3.13,<4`.
* Depends on `tensorflow-metadata>=1.1.0,<1.2.0`.
* Depends on `tfx-bsl>=1.1.0,<1.2.0`.

Breaking Changes

* N/A

Deprecations

* N/A