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TensorFlow Ranking v0.2.3
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@hanshuguang-google hanshuguang-google released this 06 Mar 00:53
· 411 commits to master since this release
v0.2.3
2037fe2

This is the 0.2.3 release of TensorFlow Ranking. It depends on tensorflow-serving-api==2.1.0 and is fully compatible with tensorflow==2.1.0. Both will be installed as required packages when installing tensorflow-ranking.

The main changes in this release are:

  • Added an EstimatorBuilder Class to encapsulate boilerplate codes when constructing a TF-ranking model Estimator. Clients can access it via tfr.estimator.EstimatorBuilder.
  • Added a RankingPipeline Class to hide the boilerplate codes regarding the train and eval data reading, train and eval specs definition, dataset building, exporting strategies. With this, clients can construct a RankingPipeline object using tfr.ext.pipeline.RankingPipeline and then call train_and_eval() to run the pipeline.
  • Provided an example to demo the use of tfr.ext.pipeline.RankingPipeline.
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