github tensorflow/tfx v0.28.0
TFX 0.28.0

latest releases: v1.15.1, v1.15.0, v1.15.0-rc0...
3 years ago

Major Features and Improvements

  • Publically released TFX docker image in tensorflow/tfx will use GPU
    compatible based TensorFlow images from Deep Learning Containers. This allow
    these images to be used with GPU out of box.
  • Added an example pipeline for a ranking model (using
    tensorflow_ranking)
    at tfx/examples/ranking. More documentation will be available in future
    releases.
  • Added a spans_resolver
    that can resolve spans based on range_config.

Breaking Changes

For Pipeline Authors

  • Custom arg key in google_cloud_ai_platform.tuner.executor is renamed to
    ai_platform_tuning_args from ai_platform_training_args, to better
    distinguish usage with Trainer.

For component authors

  • N/A

Deprecations

  • Deprecated input/output compatibility aliases for Transform and SchemaGen.

Bug Fixes and Other Changes

  • Change Bigquery ML Pusher to publish the model to the user specified project
    instead of the default project from run time context.
  • Depends on apache-beam[gcp]>=2.28,<3.
  • Depends on ml-metadata>=0.28.0,<0.29.0.
  • Depends on kfp-pipeline-spec>=0.1.6,<0.2.
  • Depends on struct2tensor>=0.28.0,<0.29.0.
  • Depends on tensorflow-data-validation>=0.28.0,<0.29.0.
  • Depends on tensorflow-model-analysis>=0.28.0,<0.29.0.
  • Depends on tensorflow-transform>=0.28.0,<0.29.0.
  • Depends on tfx-bsl>=0.28.1,<0.29.0.

Documentation Updates

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