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

tf.contrib.learn.TensorFlowEstimator.partial_fit(x, y) Incremental fit on a batch of samples. This

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

class tf.contrib.learn.DNNClassifier A classifier for TensorFlow DNN models. Example:

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

tf.contrib.learn.TensorFlowRNNRegressor.__repr__()

tf.contrib.learn.TensorFlowRNNClassifier.config

tf.contrib.learn.TensorFlowRNNClassifier.bias_ Returns bias of the rnn layer.

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

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