On Sun, Jan 8, 2012 at 11:06 PM, Andreas <[email protected]> wrote: > Hey everybody. > @larsmans (my personal hero for the day) started refactoring the SVM > class structure here: > https://github.com/larsmans/scikit-learn/commits/refactor-svm > after some discussion here: > https://github.com/scikit-learn/scikit-learn/issues/253 > and somewhat related here: > https://github.com/scikit-learn/scikit-learn/issues/100 > > The bottom line is: the SVM class structure is not as nice as one might > hope, > having different user interface classes for dense and sparse is a bit > arkward > and it's hard to give SVC and SVR different functionality with the > current structure. > > I suggest putting the "nu" and "C" variants of SVC and SVR in the same > class, > as that might already make things somewhat easier. > What do you think about that?
I'm OK with the idea of having one class for classification and one for regression. It's conceptually easier and simplifies the docs. +1 Fabian ------------------------------------------------------------------------------ Ridiculously easy VDI. With Citrix VDI-in-a-Box, you don't need a complex infrastructure or vast IT resources to deliver seamless, secure access to virtual desktops. With this all-in-one solution, easily deploy virtual desktops for less than the cost of PCs and save 60% on VDI infrastructure costs. Try it free! http://p.sf.net/sfu/Citrix-VDIinabox _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
