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Commits on Jun 15, 2018

• contrib.timeseries: sets the predictions dict in EstimatorSpec for evaluation op.

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Commits on Jun 6, 2018

• boosted_trees: follow up on previous double precision commit. Using temporary tensor instead of a vector.

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Commits on May 18, 2018

• boosted_trees: allow labels to have rank 1 as other estimators.

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Commits on May 17, 2018

• boosted_trees: fixed the crash when eval/prediction is attempted with the initial checkpoints (at step 0) before training.

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Commits on May 16, 2018

• boosted_trees: accept integer labels properly now the same as float labels; added tests about labels.

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Commits on May 11, 2018

• A test fix on Windows.

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Commits on Apr 25, 2018

• Fixing contrib.boosted_trees in Windows (module not linked)

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Commits on Apr 17, 2018

• BoostedTreesEstimator in contrib: train_in_memory works with input_fns returning data.Dataset.

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• boosted_trees: Make some regularizer/hyper-params as inputs instead of attributes.

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• BoostedTreesEstimator in contrib: train_in_memory works with input_fns returning data.Dataset.

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Commits on Apr 16, 2018

• boosted_trees: Make some regularizer/hyper-params as inputs instead of attributes.

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Commits on Apr 13, 2018

• boosted_trees: make sure ensemble deserialization happens for the non-TRAIN modes too.

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• boosted_trees: early stop hooks are fixed to stop at the right moment

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Commits on Apr 12, 2018

• boosted_trees: make sure ensemble deserialization happens for the non-TRAIN modes too.

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Commits on Apr 10, 2018

• boosted_trees: early stop hooks are fixed to stop at the right moment

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Commits on Mar 29, 2018

• boosted_trees: post-submit clean up

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• Added kernels and estimators for Gradient Boosting Trees algorithm.

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