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TensorFlow Ranking v0.5.0

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@ramakumar1729 ramakumar1729 released this 16 Nov 23:49
· 117 commits to master since this release

This is the 0.5.0 release of TensorFlow Ranking. We provide a detailed overview, tutorial notebooks and API reference on www.tensorflow.org/ranking. The new changes are:

  • Move task.py and premade tfrbert_task.py to extension.
  • Remove RankingNetwork based tfr-bert example. The latest tfr-bert example using native Keras is available at tfrbert_antique_train.py.
  • Remove dependency on tf-models-official package to reduce install time. Users of tfr.ext.task or modules that depend on the above package will need to manually install it.
  • Updated all docstrings to be more detailed. Made several docstrings to be testable.
  • Add colab notebooks for quickstart tutorial and distributed ranking tutorial, also available on www.tensorflow.org/ranking.
  • Update strategy_utils to support parameter server strategy.
  • Add symmetric log1p to tfr.utils.
  • Remove references to Estimator/Feature Column related APIs in API reference.