[R] interpretation of svm models with the e1071 package

[Steve Lianoglou]

Hi,

On Fri, Jul 9, 2010 at 12:15 PM, manuel.martin
<manuel.martin at orleans.inra.fr> wrote:
> Dear all,
>
> after having calibrated a svm model through the svm() command of the e1071
> package, is there a way to
> i) represent the modeled relationships between the y and X variables
> (response variable vs. predictors)?

Can you explain a bit more ... how do you want them represented?

> ii) rank the influence of the predictors used in the model?

One technique that's often/sometimes used is to calculate the SVM's W
vector by using the support vectors along with their learned
weights/alphas.

This comes up every now and again. Here's an older post explaining how
you might do that with the svm model from e1071:

http://article.gmane.org/gmane.comp.lang.r.general/158272/match=w+b+vector+svr

Hope that helps.

-- 
Steve Lianoglou
Graduate Student: Computational Systems Biology
 | Memorial Sloan-Kettering Cancer Center
 | Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos/contact