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

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

tf.contrib.learn.TensorFlowEstimator.__init__(model_fn, n_classes, batch_size=32, steps=200, optimizer='Adagrad', learning_rate=0.1, clip_gradients=5.0, class_weight=None

tf.contrib.learn.infer(restore_checkpoint_path, output_dict, feed_dict=None) Restore graph from restore_checkpoint_path

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

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

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

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

class tf.contrib.learn.NanLossDuringTrainingError

tf.contrib.learn.LinearRegressor.weights_