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[MRG+2] FIX make StandardScaler & scale more numerically stable #4436
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Detect common numerical stability problems in the standardization routines and try simple mitigation strategies while alos issuing a warning.
Alright so the numerical stability issues seems to depend on either the version of numpy or Python... We will have to relax the tests... |
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[MRG+2] FIX make StandardScaler & scale more numerically stable
I did the backport to 0.16.X. |
Sorry for the slow reply. Yes this is perfect, thanks for your fixes! |
This is a rebased and fixed version of #3747. I will merge if travis is still green.