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Old 01-27-2013, 01:18 AM
scottedwards2000 scottedwards2000 is offline
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Join Date: Jan 2013
Posts: 9
Default Re: When to use normalization?

Thanks, Dr. Magdon-Ismail 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 base-10 on training data you certainly wouldn't want to use base-2 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!
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