[R] tune.svm

[Kuhn, Max]

Fast is a relative term. Tell us more about your version, system, data
and the kernel that you are using (I'm guessing it is a RBF).

If you are building a classification model and there are two classes,
the svmpath package can be used to get quick predictions over the
cost/regularization parameter (for fixed kernel parameters). If you want
to cross-validate, you would probably have to write your own loop.

Max

-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Aimin Yan
Sent: Wednesday, March 14, 2007 11:55 AM
To: r-help at stat.math.ethz.ch
Subject: [R] tune.svm

I use tune.svm to tune gamma and cost for my training dataset.
I use PC, it runs very slowly. Does anyone know how to make it faster?

Aimin

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