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Commits on Feb 22, 2017

• Deprecate BaseEstimator.export() and ExportMonitor, in favor of new SavedModel APIs.

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  davidsoergel

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• Fix the bug in numpy_input_fn that could return more data than expected epochs.

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  Jianwei Xie

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• Re-enable kmeans_test

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Commits on Feb 21, 2017

• Create g3doc for svm Estimator

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  petrosmol

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• Creates a _DNNEstimator (similar to _LinearEstimator) that takes head as an argument. Also, changes the order of logits and labels in loss function to conform with current best practice.

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  Zakaria Haque

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Commits on Feb 20, 2017

• Add num_worker_replicas, similar to num_ps_replicas, in run_config.

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  Jianwei Xie

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Commits on Feb 18, 2017

• Merge changes from github.

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  Vijay Vasudevan

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Commits on Feb 15, 2017

• Refactor state_saving_rnn_estimator.py to use inheritance from Estimator.

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• Small fix to test for dynamic_rnn_estimator_test::testGetOutputAlternatives

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• Don't die if pandas import cannot write a temp file.

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  martinwicke

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• Add output alternatives to ModelFnOps for DynamicRnnEstimator.

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Commits on Feb 14, 2017

• Loosen tolerance test a bit to make test pass.

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  Vijay Vasudevan

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• Refactor head implementations to reduce code duplication and eliminate deep inheritance.

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• Add the (experimental) tuning interface

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  Jianwei Xie

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• Drop reference to monitors guide.

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• Replace pip testing script with bazel.

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  gunan

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• Documentation changes to adhere to new doc generator

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  saeta

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Commits on Feb 13, 2017

• Make more functions work as metric functions for MetricSpec.

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  martinwicke

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Commits on Feb 11, 2017

• In dnn_benchmark_test, name the "predictions" benchmark to avoid a

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Commits on Feb 10, 2017

• Provide an option to mini-batch k-means to update cluster centers for n steps

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• Add "Existing Estimator Implementations" section and link additional tutorials.

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Commits on Feb 9, 2017

• Adds support for poisson regression.

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  Zakaria Haque

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Commits on Feb 8, 2017

• Refactor dynamic_rnn_estimator.py to use inheritance from Estimator.

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• Expose and document some utils in tf.contrib.learn.

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• Merge changes from github.

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  benoitsteiner

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• Estimator - call _feature_engineering_fn in _get_eval_ops

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Commits on Feb 7, 2017

• Split input related estimator tests into a new file to fix timeout issue.

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  ispirmustafa

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Commits on Feb 6, 2017

• Fixes a bug where we were trying to access weight tensor for inference. This broke export/inference for any classification model using weights.

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  Zakaria Haque

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• Fix typo in documentation of KMeansClustering.

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Commits on Feb 3, 2017

• Refactors head to use metrics rather than metric spec and bunch of other cleanups.

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  Zakaria Haque

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Commits on Feb 2, 2017

• Merge changes from github.

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Commits on Feb 1, 2017

• Rename training_scaffold to scaffold. First step to use scaffold in all actions: training, evaluation, inference, serving.

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  ispirmustafa

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• Fix another bug in computing shape for SDCA fake bias column

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  davidsoergel

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• Fix bug in computing shape for SDCA fake bias column

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  davidsoergel

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• Make timestamp-based test less flaky by increasing delay

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  davidsoergel

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