[scikit-learn] ask a question about weights for features in svc with rbf kernel

[Andreas Mueller]

There is no coef_ for kernel SVMs.
What exactly are you looking for?

On 1/20/20 9:52 AM, Rujing Zha wrote:
> Hi Guillaume
> Is it OK for rbf kernel? As the document said:   Weights assigned to 
> the features (coefficients in the primal problem). This is only 
> available in the case of a*/linear kernel./*
>
>
>
>
> At 2020-01-20 20:30:53, "Guillaume Lemaître" <g.lemaitre58 at gmail.com> 
> wrote:
>
>     You can look at the attribute coef_ once your model is fitted.
>
>     Sent from my phone - sorry to be brief and potential misspell.
>
>     *From:* charujing123 at 163.com
>     *Sent:* 20 January 2020 12:32
>     *To:* scikit-learn at python.org
>     *Reply to:* scikit-learn at python.org
>     *Subject:* [scikit-learn] ask a question about weights for
>     features in svc with rbf kernel
>
>
>     Hi experts and users,
>     I am going to extact the pattern of svc. But I do not know how to
>     extract weights for each feature using this svc classifiers with
>     kernel of rbf function.
>     Thank you.
>     Rujing
>
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