Hi. The decision_function (http://scikit-learn.org/dev/modules/generated/sklearn.svm.SVC.html#sklearn.svm.SVC.decision_function) should give you what you want.
Best, Andy ----- Ursprüngliche Mail ----- Von: "abdalrahman eweiwi" <[email protected]> An: [email protected] Gesendet: Mittwoch, 1. August 2012 11:50:47 Betreff: [Scikit-learn-general] Getting the classification confidence of the SVC in sklearn Hi all, Is there a direct way to obtain the distance from the SVM seperating hyperplance to a test sample in sklearn? if no? Could you please direct me to the parameters I need in sklearn to obtain this distance? Thanks A.Eweiwi ------------------------------------------------------------------------------ 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
