content: # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  
  # TODO(ptucker,ipolosukhin): Improve descriptions.
  """High level API for learning with TensorFlow.
  
  ## Estimators
  
  Train and evaluate TensorFlow models.
  
  @@BaseEstimator
  @@Estimator
  @@ModeKeys
  @@TensorFlowClassifier
  @@DNNClassifier
  @@DNNRegressor
  @@TensorFlowDNNClassifier
  @@TensorFlowDNNRegressor
  @@TensorFlowEstimator
  @@LinearClassifier
  @@LinearRegressor
  @@TensorFlowLinearClassifier
  @@TensorFlowLinearRegressor
  @@TensorFlowRNNClassifier
  @@TensorFlowRNNRegressor
  @@TensorFlowRegressor
  
  ## Graph actions
  
  Perform various training, evaluation, and inference actions on a graph.
  
  @@NanLossDuringTrainingError
  @@RunConfig
  @@evaluate
  @@infer
  @@run_feeds
  @@run_n
  @@train
  
  ## Input processing
  
  Queue and read batched input data.
  
  @@extract_dask_data
  @@extract_dask_labels
  @@extract_pandas_data
  @@extract_pandas_labels
  @@extract_pandas_matrix
  @@read_batch_examples
  @@read_batch_features
  @@read_batch_record_features
  
  """
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  # pylint: disable=wildcard-import
  from tensorflow.contrib.learn.python.learn import *
  from tensorflow.python.util.all_util import make_all
  
  __all__ = make_all(__name__)
  __all__.append('datasets')
  