libsvm - Strict class labels in SVM -


i'm using one-vs-all 21-class svm categorization.

i want label -1 mean "not in class" , label 1 mean "indeed in class" each of 21 kernels.

i've generated pre-computed kernels , test vectors using standard.

using easy.py went 20 of classes, 1 of them labels switched inputs should have been labelled 1 being in class instead labelled -1 , vice-versa.

the difference in class first vector in pre-computed kernel labelled 1, while in other kernels first vector labelled -1. suggests libsvm relabels of vectors.

is there way prevent or simple way work around it?

you discovered libsvm uses label -1 whatever label encounters first. reason is, allows arbitrary labels , changes them -1 , +1 according order in appear in label vector.

so can either check directly or @ model returned libsvm. contains entry called label vector containing order in libsvm encountered labels. can use information switch sign of scores.


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