I'm not sure to understand: do you mean that this is possible to change the
distance used within the RBF kernel because I didn't see documentation
about it?
Thank you
2012/5/23 Andreas Mueller <[email protected]>
> Hi Emeline.
>
> >
> > I would like to use SVM in scikit-learn with a RBF kernel K(x,y)= exp(
> > -gamma *d(x,y)^2 ) with d that is not the usual distance but a
> > weighted sum of other distances.
> > How can I do so? Do I have to precompute the kernel on my own?
> Yes, you have to precompute the whole kernel.
> > Moreover, to determine gamma, I would like to perform cross-validation
> > on a grid-search but I'm not sure if it's possible with a precomputed
> > kernel ...
> >
> This is supported at least since 0.11, maybe earlier.
> The code is not very mature yet so if you run into any troubles, please
> let us know.
>
> Cheers,
> Andy
>
>
>
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