tf.contrib.learn.LinearClassifier.fit(x=None, y=None, input_fn=None, steps=None, batch_size=None, monitors=None, max_steps=None) See

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

tf.contrib.learn.DNNClassifier.weights_ DEPRECATED FUNCTION THIS FUNCTION IS DEPRECATED. It will

class tf.contrib.learn.RunConfig This class specifies the specific configurations for the run. If

tf.contrib.learn.TensorFlowEstimator.get_variable_names() Returns list of all variable names in this model.

tf.contrib.learn.LinearRegressor.__init__(feature_columns, model_dir=None, weight_column_name=None, optimizer=None, gradient_clip_norm=None, enable_centered_bias=None

tf.contrib.learn.TensorFlowRNNRegressor.weights_ Returns weights of the rnn layer.

tf.contrib.learn.DNNRegressor.dnn_weights_ Returns weights of deep neural network part.

tf.contrib.learn.Estimator.get_variable_names() Returns list of all variable names in this model. Returns:

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