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.