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Commits on Jan 11, 2017

• Switch tf.concat_v2 references in third_party/tensorflow to tf.concat.

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Commits on Jan 10, 2017

• Simplified estimator logic by MonitoredSession.

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Commits on Jan 4, 2017

• Removing comments for investigation of the root cause of test tolerance change. Turns out it is expected: originally a more strict tolerance was used incorrectly where it has been known to be too r…

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• Switch tf-learn BaseEstimator.evaluate() to using evaluation.evaluate_once()

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Commits on Dec 30, 2016

• Remove so many more hourglass imports

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Commits on Dec 14, 2016

• Refactor KMeansClustering estimator from inheritance to composition and update users to use input_fn instead of x/batch_size.

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Commits on Dec 9, 2016

• Increasing the tolerance of a test involving in random start to avoid flakiness. There might be a change of numerical accuracy in the underlying library to be investigated and might be addressed in…

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Commits on Dec 7, 2016

• Add named arguments to all uses of tf.split and reverse the order of arguments

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• Switch all tf.concat(concat_dim, value, name) calls in third_party/tensorflow to tf.concat_v2(value, axis, name).

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• Migrate KMeans code to the new Estimator interface. Migrate the monitor to

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Commits on Dec 2, 2016

• Part 2b of renaming SparseTensor.shape -> SparseTensor.dense_shape

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Commits on Dec 1, 2016

• Replacing deprecated variable initizaltion ops with the new ones.

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Commits on Nov 30, 2016

• Migrate tf summary ops to use tf.contrib.deprecated endpoints.

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  Dan Mané

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Commits on Nov 21, 2016

• Deprecate tf.batch_matmul and replace with equivalent calls to tf.matmul that now supports adjoint and batch matmul.

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Commits on Nov 16, 2016

• Makes the Variable.ref() method private.

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Commits on Nov 15, 2016

• Deprecate tf.inv in favor of tf.reciprocal.

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Commits on Nov 11, 2016

• Implenebting basic projetion operation for WALS factorization ops. This allows

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Commits on Nov 9, 2016

• Merge changes from github.

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Commits on Nov 4, 2016

• Switch callers of tf.pack and tf.unpack to call tf.stack and tf.unstack instead.

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Commits on Nov 3, 2016

• Replace usages initialize_all_variables -> global_variables_initializer

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  Illia Polosukhin

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Commits on Nov 2, 2016

• Update generated Python Op docs.

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Commits on Nov 1, 2016

• Move SparseTensor into its own framework.py, add get_shape().

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  ebrevdo

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Commits on Oct 31, 2016

• Migrate tf.learn to use the new summary ops (tf.summary.X).

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  Dan Mané

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Commits on Oct 24, 2016

• Adds summary for loss so it's easier to follow training progress

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  theweiho

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Commits on Oct 19, 2016

• In tf.contrib, only load external op libraries on non-Windows platforms.

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  mrry

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Commits on Oct 17, 2016

• Remove TensorFlowEstimator and subclasses.

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  martinwicke

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Commits on Oct 3, 2016

• Fix bug in pylint whitelist error check. Fix the pylint errors it missed

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Commits on Sep 15, 2016

• Make various factorization ops/classes accessible thru tf.contrib.factorization.*

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  theweiho

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Commits on Sep 13, 2016

• 1. Rename batch_matrix_* ops to matrix_*. Specifically, this applies to

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Commits on Sep 9, 2016

• Single-machine benchmark for kmeans: tensorflow vs. sklearn. Tensorflow seemed to go 2x faster for the larger sized problems, but slightly slower on the smaller ones.

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• Replace most linear algebra ops with their batch versions and deprecate

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Commits on Sep 1, 2016

• Handle case where the 'features' parameter is a dict in _get_*_ops().

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Commits on Aug 22, 2016

• Replace load_variable from checkpoint in gmm and kmeans as it will be deprecated soon.

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Commits on Aug 19, 2016

• 1. Adding new ways for row/column weights initialization and change default behavior to have unit weights for both row and column.

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Commits on Aug 17, 2016

• Convert Estimators in tf/contrib/factorization to use iterable form of

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