singular-spectrum-transformation
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why apply scaler for data preprocessing?
Hi, thanks for sharing this repo!
I am reading your code and am curious why we need to transform all values to be positive when computing singular values here: https://github.com/statefb/singular-spectrum-transformation/blob/9ef208b9e2566865e10f1e9ed7090240965234ce/fastsst/sst.py#L110-L110? Thanks!