Steve,
Couldn't he also just use the decision.value property to see the
equivilent of t(x) %*% b for each row?
-N
On 7/9/10 7:11 PM, Steve Lianoglou wrote:
Hi,
On Fri, Jul 9, 2010 at 12:15 PM, manuel.martin
<manuel.mar...@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.
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