Hello, I'd like to ask about the normalize parameter in add_noise, I'm using it so that it is True, I'm finding where to use this parameter in add_noise, and I can't figure out how to do the normalisation by noise*(X.max(axis=1)-X.min(axis=1)), I think it might be using the is max-min normalisation, but the query says that the max-min normalisation formula is X*=(X-min(X))/(max(X)-min(X)). How should I understand this place, and the role of normalise.
f self.kind == "additive": if self.normalize: X_aug = X + noise * ( X.max(axis=1, keepdims=True) - X.min(axis=1, keepdims=True) ) else: X_aug = X + noise
Hello, I'd like to ask about the normalize parameter in add_noise, I'm using it so that it is True, I'm finding where to use this parameter in add_noise, and I can't figure out how to do the normalisation by noise*(X.max(axis=1)-X.min(axis=1)), I think it might be using the is max-min normalisation, but the query says that the max-min normalisation formula is X*=(X-min(X))/(max(X)-min(X)). How should I understand this place, and the role of normalise.
f self.kind == "additive": if self.normalize: X_aug = X + noise * ( X.max(axis=1, keepdims=True) - X.min(axis=1, keepdims=True) ) else: X_aug = X + noise