Now that NIPS is over, does anyone have some time to answer this? Also, if I were to make the speedup in libsvm rather than in scikits-learn (to fix the problem at the source), how hard would it be to pull the new version of libsvm in scikits?
On Fri, May 25, 2012 at 10:32 AM, Ian Goodfellow <[email protected]> wrote: > 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
