Why semi-svm 'nu' is 0?

[Wangjyddddddd]

%% One-class SVM

% OCC - SIFT
[SVMModel1, score1, acc1_max, boundary1] = trainSVM(SIFT_trainOCC, labels_trainOCCNum, SIFT_test, labels_testNum, 0.04, 1);

% OCC - SURF
[SVMModel2, score2, acc2_max, boundary2] = trainSVM(SURF_trainOCC, labels_trainOCCNum, SURF_test, labels_testNum, 0.04, 1);

% Semi-supervised - SIFT
[SVMModel3, score3, acc3_max, boundary3] = trainSVM(SIFT_trainSemi, labels_trainSemiNum, SIFT_test, labels_testNum, 0, 0);

% Semi-supervised - SURF
[SVMModel4, score4, acc4_max, boundary4] = trainSVM(SURF_trainSemi, labels_trainSemiNum, SURF_test, labels_testNum, 0, 0);

So why one-class svm 'nu' can gei 0.04, but semi-svm 'nu' is 0? Can I try other numbers in 0 to 1 of nu for semi?

[boortel]

Hello, nu = 0 by semi-supervised experiment might be some typo - feel free to experiment with other values as well. You can also try the more up-to-date Python implementation referred in the ReadMe, this one is not maintained any more.

You can also share your experimental results there and feel free to ask further.

[Wangjyddddddd]

Thanks a lot :)