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

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

tf.contrib.learn.extract_pandas_labels(labels) Extract data from pandas.DataFrame for labels. Args:

tf.contrib.learn.DNNClassifier.weights_ DEPRECATED FUNCTION THIS FUNCTION IS DEPRECATED. It will

tf.contrib.learn.DNNRegressor.__repr__()

tf.contrib.learn.TensorFlowRNNRegressor.weights_ Returns weights of the rnn layer.

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

tf.contrib.learn.LinearClassifier.predict(x=None, input_fn=None, batch_size=None, as_iterable=False) Runs inference to determine

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

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