> Hi,
>
>
>> I have found scikit-learn (version 0.8.1) recently and I found it useful to
>> classify my data using SVM. I've modify given example: plot_custom_kernel.py
>> to use a non-linear SVC with RBF kernel and I have one question. I would
>> like to find a function of line separating two different areas. I'm new to
>> this tool and I'm not familiar with python either so I would be grateful for
>> any advice.
>>
>
> are you looking the analytic formula for the decision function?
>
>
Yes, exactly, I would like to have numerical formula of line separating
different areas.
> maybe this example :
>
> http://scikit-learn.sourceforge.net/auto_examples/svm/plot_svm_nonlinear.html
>
> can help.
>
>
I already have implemented nonlinear SVC, I only need analytic formula:)
>> And also I'm going to publish these results, what reference for scikit-learn
>> should I give?
>>
>
> F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O.
> Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas,
> A. Passos, D. Cournapeau, M. Brucher, M. Perrot, E. Duchesnay,
> 'Scikit-learn: Machine learning in Python', accepted for publication in
> JMLR.
>
> Alex
>
>
>
Thanks,
GS
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