Release 0.15.3

Major Features and Improvements

• Requires apache-beam>=2.16,<2.17 as 2.17 requires a pyarrow version
  that we don't support yet.

Bug Fixes and Other Changes

Breaking Changes

• Behavior of csv_decoder.ColumnTypeInferrer was changed. A new column type,
  ColumnType.UNKNOWN was added to denote that the inferrer could not
  determine the type of that column (instead of making a guess of FLOAT).
  Summary of behavior change (values in the examples are from the same column):

  • <int>, <empty>: before: FLOAT; after: INT
  • <empty>, ... , <empty>: before: FLOAT; after: UNKNOWN

Deprecations

Release 0.15.2

Release 0.15.2

Major Features and Improvements

• Added a (beam) utility to infer column types from a PCollection[CSVLine].
• Added a utility to parse a CSVLine into cells (conforming to RFC4180)

Bug Fixes and Other Changes

Breaking Changes

Deprecations

Release 0.15.1

Release 0.15.1

Major Features and Improvements

• Added dependency on tensorflow>=1.15,<2.2. Starting from 1.15, package
  tensorflow comes with GPU support. Users won't need to choose between
  tensorflow and tensorflow-gpu.
  • Caveat: tensorflow 2.0.0 is an exception and does not have GPU
    support. If tensorflow-gpu 2.0.0 is installed before installing
    tfx-bsl, it will be replaced with tensorflow 2.0.0. Re-install
    tensorflow-gpu 2.0.0 if needed.
• Added dependency on tensorflow-serving-api>=1.15,<3.
• Added a python PTransform, tfx_bsl.beam.RunInference that enables batch
  inference.

Bug Fixes and Other Changes

Breaking Changes

Deprecations

Release 0.15.0

Release 0.15.0

Major Features and Improvements

• Added a tf.Example <-> Arrow coder.
• Added a tf.Example -> Dict[str, np.ndarray] coder (this is a legacy
  format used by some TFX components).
• Added some common Arrow utilities (tfx_bsl.arrow.array_util).
• Added a python class, tfx_bsl.beam.Shared that helps sharing a single
  instance of object across multiple threads.

Bug Fixes and Other Changes

Breaking Changes

Deprecations