tf.contrib.learn.DNNRegressor.config

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

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

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

tf.contrib.learn.DNNClassifier.predict(*args, **kwargs) Returns predicted classes for given features. (deprecated arguments)

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

tf.contrib.learn.TensorFlowEstimator.__repr__()

tf.contrib.learn.TensorFlowRNNClassifier.predict_proba(x, batch_size=None) Predict class probability of the input samples x

tf.contrib.learn.NanLossDuringTrainingError.__str__()

tf.contrib.learn.LinearClassifier.get_variable_value(name)