2012/7/29 JAGANADH G <[email protected]>:
> Hi
> Is there any support for string kernal + svm in scikit-learn

Nope but if you can store the complete pairwise kernel matrix of your
dataset you can use the kernel='precomputed' option of SVC, NuSVC, SVR
and NuSVR.

In that case you can use any python function that computes the kernel
value for any pair of samples and store the results in a (n_samples,
n_samples)-shaped numpy array to feed to your model.

-- 
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel

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