Re: When to use normalization?
Thanks, Dr. MagdonIsmail for the example. However, I'm still not sure I understand exactly why we must use the same rescaling parameters for the training data. I guess I could see that if we were doing a simple log transform (e.g. if you used base10 on training data you certainly wouldn't want to use base2 on the test date), but in your example you are transforming the data to fit a certain criteria (avg sq value of each coordinate = 1). Would your model then expect a new data set to have the same quality? If we apply the exact rescaling parameters that we used on the training set to the test set, it certainly won't meet that criteria. Thanks for your help!
