Machine Learning, Deep Learning, Stochastic Gradient, Data Science, Editors Pick.
# Pipeline of transformations to apply to an estimator. First applies Standard Scaling to the feature array. # Then, when the model is fitting the data it runs Stochastic Gradient Descent as the optimization algorithm. # The estimator is always the last element. start_time = time.time()