Hey, That's what I originally thought, but then I tried it with just using LinearSVC and it magically worked for my sample dataset, really interesting. I think it is working now properly.
What I am asking myself is how exactly the decision is made for the multilabel prediction. Is there some way of influencing it? For example sometimes it predicts zero classes and sometimes several. Is it also possible to pass a MultinomialNB to the OVR classifier? Or would I just use the predict_proba output and then decide myself how many and which labels I would predict? Regards, Philipp Am 23.01.2013 16:33, schrieb Andreas Mueller: > Hi Philipp. > LinearSVC can not cope with multilabel problems. > It seems it is not doing enough input validation. > You have to use OneVsRestClassifier together with LinearSVC > to do that afaik. > Cheers, > Andy > > Am 23.01.2013 16:27, schrieb Philipp Singer: >> Hey guys! >> >> I am currently trying to do multilabel prediction using textual features >> (e.g., tfidf). >> >> My data consists of a different amount of labels for a sample. One can >> have just one label and one can have 10 labels. >> >> I now simply built a list of tuples for my y vector. >> >> So for example: >> (19, 8, 7, 5) >> (8, 22, 23, 6, 18, 3) >> (22,) >> ... >> >> I have decided as first step to use LinearSVC. When I train the >> classifier with about 10.000 samples all works fine and also the >> prediction output looks fine. >> >> But as soon as I use all my samples (~300.000) my python.exe crashes in >> Windows. So I tried it on my Linux server, and I get a segfault error. >> >> Does anyone know how this can happen? Am I probably doing something wrong? >> >> I have some more questions regarding multilabel classification, but >> let's stick to this first ;) >> >> Many Regards, >> Philipp >> >> ------------------------------------------------------------------------------ >> Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, >> MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current >> with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft >> MVPs and experts. ON SALE this month only -- learn more at: >> http://p.sf.net/sfu/learnnow-d2d >> _______________________________________________ >> Scikit-learn-general mailing list >> Scikit-learn-general@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > ------------------------------------------------------------------------------ > Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, > MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current > with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft > MVPs and experts. ON SALE this month only -- learn more at: > http://p.sf.net/sfu/learnnow-d2d > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > ------------------------------------------------------------------------------ Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft MVPs and experts. ON SALE this month only -- learn more at: http://p.sf.net/sfu/learnnow-d2d _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
