tf.contrib.learn.RunConfig.job_name

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

class tf.contrib.learn.Estimator Estimator class is the basic TensorFlow model trainer/evaluator.

tf.contrib.learn.TensorFlowRNNRegressor.save(path) Saves checkpoints and graph to given path. Args:

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

tf.contrib.learn.TensorFlowRNNClassifier.model_dir

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

tf.contrib.learn.TensorFlowEstimator.model_dir

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

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