tf.contrib.learn.LinearRegressor.get_params(deep=True) Get parameters for this estimator. Args:

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

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

tf.contrib.learn.TensorFlowRNNRegressor.fit(x, y, steps=None, monitors=None, logdir=None) Neural network model from provided

tf.contrib.learn.TensorFlowRNNRegressor.save(path) Saves checkpoints and graph to given path. Args:

tf.contrib.learn.TensorFlowEstimator.predict(x, axis=1, batch_size=None) Predict class or regression for x.

tf.contrib.learn.TensorFlowEstimator.get_params(deep=True) Get parameters for this estimator. Args:

tf.contrib.learn.BaseEstimator.config

tf.contrib.learn.LinearClassifier.weights_

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