Re: [Scikit-learn-general] Planning on implementing sample_weight option for PLSRegression.fit()

I've gone ahead with the sample_weight implementation, along with some amount of code refactoring (mostly where I had to touch it). I have submitted a pull request. Let me know if I can help fix any specific other concerns -- I've spent some time with the referenced paper, and the code; so less ra

Re: [Scikit-learn-general] Estimators of RAKEL and (Ensemble) Classifier Chain for multilabel proposal

The vanilla rakel and vanilla classifier chain would be a great addition in scikit-learn. FYI For the classifier chain, there is a stalled pull request https://github.com/scikit-learn/scikit-learn/pull/3727 . For the rakel classifier, t

[Scikit-learn-general] log normalization the target vector

Hi, i have on question. Is it useful to log normalize the target data?? They are 5 classes depending on the value, it is class 1 or 2,3,4,5. The problem is, the ranges are very small. I have Data like x<=5 mg/kg == class 1 x<=10 mg /kg == class 2 x<= 50 mgkg == class 3 x<= 500 mg/kg == class