Thanks, but i was using linear kernel. However the problem seems due to the
OneClassSVM not converged.
i.e. the obj = inf and rho is a very very big number if i set the verbose to
True and limit the number of the iteration.
But from the http://www.csie.ntu.edu.tw/~cjlin/libsvm/faq.html, the libsvm
should always converge,
Any ideas why it's not converge then?
On Aug 1, 2013, at 7:27 PM, Gael Varoquaux <[email protected]>
wrote:
> On Thu, Aug 01, 2013 at 03:25:02PM +0800, Terry Peng wrote:
>> But i got very strange result when predict on the training data: it predict
>> almost all the training data
>> as -1. but i expected only ~10 (since nu=0.1) predicted as -1.
>
> Agreed, I would be surprised too.
>
> If I were you, I would try increasing the radius of the RBF kernel.
>
> G
>
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