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Hi,
Congratulations on this project, it is very useful and fast to use. I have one single question: does the module also support the "weight" parameter as specified in the C++ version documentation:
"-wi weight : set the parameter C of class i to weight*C, for C-SVC (default 1)"
I'm asking because I'm not quite sure how to best handle imbalanced datasets, and I think this might be useful.
Thank you very much, and keep up the good work !
The text was updated successfully, but these errors were encountered:
does the module also support the "weight" parameter as specified in the C++ version documentation
No, it is not supported right now.
I'm asking because I'm not quite sure how to best handle imbalanced datasets, and I think this might be useful.
It may help. I suggest to give a try to sklearn / SVC first, with class_weight='balanced'. If it brings significant improvement then we will consider spending time on it.
Hi,
Congratulations on this project, it is very useful and fast to use. I have one single question: does the module also support the "weight" parameter as specified in the C++ version documentation:
"-wi weight : set the parameter C of class i to weight*C, for C-SVC (default 1)"
I'm asking because I'm not quite sure how to best handle imbalanced datasets, and I think this might be useful.
Thank you very much, and keep up the good work !
The text was updated successfully, but these errors were encountered: