Hi,
there is no segmentation fault in the default settings.
Even if according to the original paper it can make sense to use OCSVM
also with not rbf kernel.
Maybe there is a bug in the polynomial kernel, I don't know.
Despite that also with the RBF kernel I am having some problems with
the frontier.
I have posted a question with my problem here (plot included)
http://stats.stackexchange.com/questions/115481/one-class-svm-strange-decision-boundary
I do not exclude that I am doing some mistakes. So please tell me if I am wrong.
Thanks a lot,
Luca
Hi Luca,
it segfaults?! Can you confirm that it also segfaults if you use the
default arguments? There is no plot so I cannot say anything about the
strange decision boundaries.
For my part, I've never used something else than a RBF kernel for a one
class svm; the RBF kernel has the nice property that all data points lie on
the surface of a hypersphere and thus the minimum enclosing ball is just
the hyperplane that separates those points and the origin with the max
distance to the origin.
2014-09-15 10:58 GMT+02:00 Luca Puggini <lucapuggio@...>:
>
> Hi,
> I am having some problems with the OneClassSVM function.
>
> Here you can see my file and the output.
> http://justpaste.it/h3pw
>
> I am sorry but I can not share the used data.
>
> I have experienced also other problems like strange decision boundaries.
>
> Can someone tell me if I am doing something wrong or if there is a problem
> in the function?
>
> Thanks,
> Luca
>
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