Sgd, Machine Learning, Stochastic Gradient.
class_sep=0.7, random_state=15) model = logistic_regression() model.fit(X_train, y_train, X_test, y_test) The output of the above code is ---> Epoch 1 Tr ave loss 0.40400578983455926 & CV ave loss 0.4051507727476775. Total training time: 1.25 seconds. ---> Epoch 2 Tr ave loss 0.38838064528675104 &