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

tf.contrib.learn.TensorFlowEstimator.model_dir

tf.contrib.learn.DNNRegressor.get_variable_names() Returns list of all variable names in this model.

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

tf.contrib.learn.TensorFlowEstimator.restore(cls, path, config=None) Restores model from give path. Args:

tf.contrib.learn.TensorFlowRNNClassifier.model_dir

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

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

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

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