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AdaNet v0.7.0.tar.gz 2019-06-26 902.7 kB
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AdaNet v0.7.0.zip 2019-06-26 988.7 kB
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README.md 2019-06-26 892 Bytes
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  • Add embeddings support on TPU via TPUEmbedding.
  • Train the current iteration forever when max_iteration_steps=None.
  • Introduce adanet.AutoEnsembleSubestimator for training subestimators on different training data partitions and implement ensemble methods like bootstrap aggregating (a.k.a bagging).
  • Fix bug when using Gradient Boosted Decision Tree Estimators with AutoEnsembleEstimator during distributed training.
  • Allow AutoEnsembleEstimator's candidate_pool argument to be a lambda in order to create Estimators lazily.
  • Remove adanet.subnetwork.Builder#prune_previous_ensemble for abstract class. This behavior is now specified using adanet.ensemble.Strategy subclasses.
  • BREAKING CHANGE: Only support TensorFlow >= 1.14 to better support TensorFlow 2.0. Drop support for versions < 1.14.
  • Correct eval metric computations on CPU and GPU.
Source: README.md, updated 2019-06-26