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Published 20 hours ago • verified publisher icon UniprJRC

e.g. regression

Open DanGitR opened this issue 3 years ago • 1 comments

I'd suggest expanding Powertra.m to implement standardization (to mean=0 and std. dev. =1) after BoxCox or Yeo-Johnson is applied.

This would make Powertra.m equivalent to the scikit-learn PowerTransformer frequently used in Python DA workflows.

DanGitR avatar Apr 22 '22 16:04 DanGitR

Dear Daniel, Thank you for your suggestion. Option 'standardize' has been added to Powertra.m. The associated HTML documentation is at

http://rosa.unipr.it/FSDA/Powertra.html

An example which implements this option is at http://rosa.unipr.it/FSDA/Powertra.html#ExtraExample_3

The modifications are already in the github repo of FSDA and they all be present inside the FSDA toolbox starting from release 8.5.26 Please, let us know if your suggestion has been taken into account. For any other suggestion, please do not hesitate to contact us Marco (on behalf of all the FSDA team)

UniprJRC avatar Apr 29 '22 10:04 UniprJRC