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

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

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

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

tf.contrib.learn.TensorFlowRNNRegressor.get_tensor(name) Returns tensor by name. Args:

tf.contrib.learn.TensorFlowRNNRegressor.__repr__()

tf.contrib.learn.TensorFlowRNNClassifier.config

tf.contrib.learn.DNNClassifier.__init__(hidden_units, feature_columns, model_dir=None, n_classes=2, weight_column_name=None, optimizer=None, activation_fn=relu, dropout=None

tf.contrib.learn.DNNRegressor.linear_weights_ Returns weights per feature of the linear part.

tf.contrib.learn.TensorFlowRNNClassifier.model_dir