Dear Sir/Madam,
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 to tune the hyper parameters: gamma, 
epsilon and C. 
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
Associate Professor
Department of
Aligarh Muslim University
Aligarh 202002.

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to