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Problem using svm.tune
2 messages · sadaf zaidi, Uwe Ligges
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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