TensorFlow Ranking v0.3.1

This is the 0.3.1 release of TensorFlow Ranking. It depends on tensorflow-serving-api==2.1.0 and is fully compatible with tensorflow==2.2.0. Both will be installed as required packages when installing tensorflow-ranking.

The main changes in this release are canned Neural RankGAM estimator, canned DNN estimators, canned Neural RankGAM keras models and their examples. The new components are:

• Neural RankGAM

  • make_gam_ranking_estimator, which makes a canned estimator of a neural ranking generalized additive model. An example client to showcase the usage of make_gam_ranking_estimator.

  • make_dnn_ranking_estimator, which makes a canned estimator of a feed-forward neural network for ranking. An example client to showcase the usage of make_dnn_ranking_estimator.

  • GAMRankingNetwork, which encapsulates Neural RankGAM models in a keras ranking network. An example client to showcase the usage of GAMRankingNetwork.

• Keras

  • Add serialization and deserialization support for feature columns via tfr.keras.feature.serialize_feature_columns and tfr.keras.feature.deserialize_feature_columns. RankingNetwork’s get_config and from_config methods rely on this.