tf.contrib.learn.read_batch_examples(file_pattern, batch_size, reader, randomize_input=True, num_epochs=None, queue_capacity=10000, num_threads=1, read_batch_size=1

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

class tf.contrib.learn.LinearRegressor Linear regressor model. Train a linear regression model

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

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

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

tf.contrib.learn.DNNRegressor.get_variable_value(name) Returns value of the variable given by name. Args:

class tf.contrib.learn.NanLossDuringTrainingError

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

tf.contrib.learn.LinearClassifier.config