You should also be aware that the current metrics module doesn't handle multilabels correctly.
The following pr https://github.com/scikit-learn/scikit-learn/pull/1606 might interest you. It had for multi-labels support for some metrics. Best regards, Arnaud Joly Le 23/01/2013 18:44, Andreas Mueller a écrit : > Am 23.01.2013 18:39, schrieb Lars Buitinck: >> if you want more predictions or something... >> More in detail: OneVsRestClassifier exports an object called >> label_binarizer_, which is used to transform decision function values >> D back to class labels. By default, it picks all the classes for which >> D > 0, but its threshold argument can be used to change that. >> >> So, if clf is an OvR classifier and >> >> D = clf.decision_function(x) >> >> for a *single sample* x contains no positive values, then >> >> # untested, may contain mistakes >> clf.label_binarizer_.inverse_transform(D, threshold=(D.max() + >> epsilon)) >> >> will predict at least one class label for x, namely the one with the >> highest value according to the decision_function. The epsilon is >> needed because inverse_transform compares values using >, not >=; set >> it to a small value. Doing this for batches of samples is a bit more >> involved. >> >> Of course, you can set the threshold to any value. Whether any of this >> makes sense depends on your problem. >> >> [I used to be opposed to exporting the LabelBinarizer object on OvR >> estimators, but I guess I should give up the struggle now -- this is >> actually useful.] >> > I didn't even realize this possibility existed. I would have done it "by > hand". > Thanks for the instructions. > > ------------------------------------------------------------------------------ > 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
