Ch12, when standard the train data

[JPL-JUNO]

X_train_norm = (X_train - np.mean(X_train)) / np.std(X_train) use the mean and std of whole dataset. I think the correct way is to use mean and std of each column, X_train_norm = (X_train - np.mean(X_train, axis=0)) / np.std(X_train, axis=0)

machine-learning-book/ch12/ch12_part2.py

Line 239 in 92e2320

X_train_norm = (X_train - np.mean(X_train)) / np.std(X_train)

(forgive my poor English)

[rasbt]

You are totally right, thanks for the note! (cc @haydenliu )