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

tf.contrib.learn.DNNRegressor.config

tf.contrib.learn.TensorFlowRNNRegressor.config

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

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

tf.contrib.learn.LinearRegressor.__repr__()

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

tf.contrib.learn.BaseEstimator.config

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

tf.contrib.learn.LinearClassifier.weights_