tf.contrib.learn.TensorFlowEstimator.get_variable_value(name) Returns value of the variable given by name.

tf.contrib.learn.DNNClassifier.export(export_dir, input_fn=None, input_feature_key=None, use_deprecated_input_fn=True, signature_fn=None, default_batch_size=1, expo

tf.contrib.learn.Estimator.evaluate(x=None, y=None, input_fn=None, feed_fn=None, batch_size=None, steps=None, metrics=None, name=None) See

tf.contrib.learn.DNNRegressor.evaluate(x=None, y=None, input_fn=None, feed_fn=None, batch_size=None, steps=None, metrics=None, name=None) See

tf.contrib.learn.TensorFlowRNNClassifier.export(*args, **kwargs) Exports inference graph into given dir. (deprecated arguments)

tf.contrib.learn.extract_pandas_data(data) Extract data from pandas.DataFrame for predictors. Given

tf.contrib.learn.LinearClassifier.weights_

tf.contrib.learn.TensorFlowRNNRegressor.restore(cls, path, config=None) Restores model from give path.

tf.contrib.learn.LinearClassifier.get_estimator()

tf.contrib.learn.TensorFlowRNNClassifier.set_params(**params) Set the parameters of this estimator. The