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 <[email protected]>:

>
> 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
>
>
>
>
>
> ------------------------------------------------------------------------------
> Want excitement?
> Manually upgrade your production database.
> When you want reliability, choose Perforce
> Perforce version control. Predictably reliable.
>
> http://pubads.g.doubleclick.net/gampad/clk?id=157508191&iu=/4140/ostg.clktrk
> _______________________________________________
> Scikit-learn-general mailing list
> [email protected]
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
>


-- 
Peter Prettenhofer
------------------------------------------------------------------------------
Want excitement?
Manually upgrade your production database.
When you want reliability, choose Perforce
Perforce version control. Predictably reliable.
http://pubads.g.doubleclick.net/gampad/clk?id=157508191&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to