Machine Learning, Deep Learning, Stochastic Gradient, Data Science, Editors Pick.
linear_regression_pipeline = make_pipeline(StandardScaler(), SGDRegressor(learning_rate=learn_rate_type)) linear_regression_pipeline.fit(feature_array, target_array) stop_time = time.time() print("Total runtime: %.6fs" % (stop_time - start_time)) print("Algorithm used to set the learning rate: " +