TFX 0.24.0

Major Features and Improvements

• Use TFXIO and batched extractors by default in Evaluator.
• Supported custom split configuration for ExampleGen and its downstream
  components. Instead of hardcoded 'train' and 'eval' splits, TFX components
  now can process the custom splits generated by ExampleGen. For details,
  please refer to ExampleGen doc
• Added python 3.8 support.

Bug fixes and other changes

• Supported CAIP Runtime 2.2 for online prediction pusher.
• Used 'python -m ' style for container entrypoints.
• Stopped depending on google-resumable-media.
• Stopped depending on Werkzeug.
• Depends on absl-py>=0.9,<0.11.
• Depends on apache-beam[gcp]>=2.24,<3.
• Depends on ml-metadata>=0.24,<0.25.
• Depends on protobuf>=3.12.2,<4.
• Depends on tensorflow-data-validation>=0.24.1,<0.25.
• Depends on tensorflow-model-analysis>=0.24.3,<0.25.
• Depends on tensorflow-transform>=0.24.1,<0.25.
• Depends on tfx-bsl>=0.24.1,<0.25.

Breaking changes

• N/A

For pipeline authors

• N/A

For component authors

• N/A

Documentation updates

• N/A

Deprecations

• Deprecated python 3.5 support.