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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and provide commented, minimal, self-contained, reproducible code.
