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

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

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

tf.contrib.learn.LinearClassifier.bias_

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

tf.contrib.learn.infer(restore_checkpoint_path, output_dict, feed_dict=None) Restore graph from restore_checkpoint_path

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

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

tf.contrib.learn.BaseEstimator.__repr__()

tf.contrib.learn.Estimator.__repr__()