OK. I think I see how to do this for binary classification. For the multiclass one-vs-one classification, how do we map from the decision function to an actual label prediction?
The "mathematical formulation" section only documents the binary case as far as I can tell: http://scikit-learn.org/dev/modules/svm.html#svm-mathematical-formulation On Fri, May 25, 2012 at 4:31 AM, Olivier Grisel <[email protected]> wrote: > 2012/5/25 Gael Varoquaux <[email protected]>: >> On Fri, May 25, 2012 at 10:36:03AM +0900, Mathieu Blondel wrote: >>> +1 too for precomputing coef_ once for all in fit. >> >> +1. It seems to simplify everything for little drawback. We'll need to >> document it, of course. > > +1 too. > > -- > Olivier > http://twitter.com/ogrisel - http://github.com/ogrisel > > ------------------------------------------------------------------------------ > Live Security Virtual Conference > Exclusive live event will cover all the ways today's security and > threat landscape has changed and how IT managers can respond. Discussions > will include endpoint security, mobile security and the latest in malware > threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
