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Commits on Jul 6, 2017

• Made labels truly optional in Estimator.

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Commits on Jun 23, 2017

• Updated wide-n-deep tutorial code to use core version of estimators and feature-columns.

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• Fixed cmake tests.

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• Alligned how model-fns handled params among linear/dnn/combined estimators.

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• Added canned estimators to Tensorflow library. List of added estimators:

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Commits on Jun 22, 2017

• Added a utility to create parsing spec for regressors (canned estimator)

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• Removed deprecated summary usage from estimators.

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Commits on Jun 15, 2017

• Mentioned loss in canned estimators pydoc.

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• Add checkpoint-utils to the tf.train module.

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• Propogate keep_checkpoint_every_n_hours to the default Saver inside estimator.

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Commits on Jun 13, 2017

• Replaced weight key with weight column. added weight test for dnns.

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• Added unit test which checks logits are combined in dnn-linear-combined estimator.

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Commits on Jun 12, 2017

• Handled export output of binary classification which can be both a classifier or a regressor.

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Commits on Jun 9, 2017

• Add train-op test for dnn linear combined estimator.

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• Add string weight-column support to parsing spec util.

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Commits on Jun 8, 2017

• Add weight-column support to the heads.

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Commits on Jun 7, 2017

• Add label-vocab support to binary logistic head.

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Commits on Jun 6, 2017

• Extracted linear estimator testing utils to be reused by dnn-linear-combined.

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• Add type error to start_queue_runners if given session is not a `tf.Session`. Due to semver, we suppress the error if a MonitoredSession is provided.

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• Extracted dnn estimator testing utils to be reused by dnn-linear-combined.

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Commits on Jun 1, 2017

• Add type error to start_queue_runners if given session is not a `tf.Session`. Due to semver, we suppress the error if a MonitoredSession is provided.

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• Update and Move DNNLinearCombinedRegressor to estimator/canned.

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• Add a warning to documentation of MonitoredSession.

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Commits on May 26, 2017

• Added vocabulary support to canned Estimator multi-class-head.

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Commits on May 24, 2017

• Introduced tf.estimator.classifier_parse_example_spec a utility function to help parsing for classifiers.

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Commits on May 23, 2017

• Improve error message in cross_column re:hashing.

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Commits on May 19, 2017

• Update RELEASE.md (#10046)

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Commits on May 18, 2017

• Make indicator_column works well with pandas_input_fn (supports 1D sparse input)

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Commits on May 15, 2017

• Support core feature columns in contrib canned Estimators.

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• Make tf.feature_column public

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Commits on May 12, 2017

• Make sparse_reshape work well with output of tf.shape.

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• FeatureColumn: Reshape sparse tensors for linear models.

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Commits on May 11, 2017

• FeatureColumn: Improved error message if there is a batch_size mismatch and shapes known at compile time.

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Commits on May 10, 2017

• Moved transform_features.

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• Final cross compatibility cl.

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