What do "SVM Learner" parameters mean?

KNIME Analytics Platform
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Hello.
I have some questions about the “SVM Learner”.
I tried to use SVM Learner node, but I couldn’t understand mean of parameters.
I checked the “SVM Learner” nodepit (https://nodepit.com/node/org.knime.base.node.mine.svm.learner.SVMLearnerNodeFactory2), however I couldn’t get information about these parameters (Polynomial(Power,Bias,Gamma),HyperTangent(Kappa, Delta), RBF(Sigma)).

Could you please tell me some information about these parameters?
Thanks,

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Hmmm, it seems the links in our node description for the SVM learner are out of date. Sorry about that.

Instead, you might check out this article, which describes some of the commonly used kernel functions in SVMs (and their parameters). It also touches briefly on what happens to the boundaries when those parameters are adjusted, in the case of RBFs.

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Sorry for the late reply.

I read that article which you suggested.I tried using SVM with RBF kernel and understood what these parameters mean.

Thank you so much!

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