R help - Apr 2011 - Problem using svm.tune

Dear Sir,

I am stuck with a nagging problem in using R for SVM regression. My data has 5 
dimensions and 400 observations. The independent variables are :
Peb, Ksub, Sub, and Xtt.
The dependent variable is: Rexp.
I tried using the svm.tune function as well as <_tune(svm.....), to tune the 
hyper parameters: gamma, epsilon and C. 

Since I am new to R, I am probably not using the svm.tune function properly. I 
am getting the following error message:
Error in predict.svm(ret, xhold, decision.values=TRUE): Model is empty!
May you please help me!SADAF ZAIDI

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On 04.04.2011 12:43, sadaf zaidi wrote:
> Dear Sir,
>
> I am stuck with a nagging problem in using R for SVM regression. My data
has 5
> dimensions and 400 observations. The independent variables are :
> Peb, Ksub, Sub, and Xtt.
> The dependent variable is: Rexp.
> I tried using the svm.tune function as well as<_tune(svm.....), to tune
the
> hyper parameters: gamma, epsilon and C.
>
> Since I am new to R, I am probably not using the svm.tune function
properly. I
> am getting the following error message:
> Error in predict.svm(ret, xhold, decision.values=TRUE): Model is empty!
> May you please help me!SADAF ZAIDI

Please show us a reproducible examples with all your code. Otherwise it 
is hard to find where the error comes from.

Uwe Ligges

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>
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