Hello, I am a new user of scikit-learn and I primarily use 2-class SVM and
1-class SVM. Now, I meet with a problem and hope someone can give me a reply.
I want the 1-class SVM probability output just like the function 2-class SVM
has provided. I know that scikit-learn implementation is based on libsvm. So I
directly transfer 1-class SVM probability estimate function to 1-class SVM. But
the probability outputs are not correct. I have two questions: (1) whether
1-class SVM can output probability estimate ? If can (2) whether the present
probability estimate algorithm supports 1-class SVM?
In my initial opinion, 1-class SVM is to generate the hyperplan bewteen origin
point and trainning data. Both 1-class and 2-class SVM are not completely
different.
Sorry for my poor judgment. I just begin to study and use the SVM machine
learning method.
Best wish for everyone
------
YS.JI
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