I wonder if there is no de-normalizer in KNIME. Since if I normalize data for a certain learner and then I want to predict some values, I need to scale it from normalized to non-normalized, i.e. original ranged values. Currently I do it manually by calculating min and max or mean and standard deviation. It would be
really helpful if a normalizer could result in a normalizing model which I can applied to automatic de-normalization.
Is it possible to implement this or do I mis-interpretate how to work with normalization?
One more question: Is there a module to calculate the Chi-Square error of two columns?
Thanks in advance,