tf.contrib.learn.TensorFlowEstimator.get_tensor(name) Returns tensor by name. Args:

tf.contrib.learn.Estimator.predict(*args, **kwargs) Returns predictions for given features. (deprecated arguments)

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

tf.contrib.learn.TensorFlowRNNRegressor.get_tensor(name) Returns tensor by name. Args:

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

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

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

tf.contrib.learn.LinearClassifier.predict_proba(x=None, input_fn=None, batch_size=None, outputs=None, as_iterable=False) Runs

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

tf.contrib.learn.DNNRegressor.linear_weights_ Returns weights per feature of the linear part.