TensorFlow Ranking v0.5.0
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 oftfr.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.