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

tf.contrib.learn.BaseEstimator.partial_fit(x=None, y=None, input_fn=None, steps=1, batch_size=None, monitors=None) Incremental

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

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

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

class tf.contrib.learn.DNNRegressor A regressor for TensorFlow DNN models. Example:

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

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

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

tf.contrib.learn.LinearRegressor.model_dir