Hello all, I'm trying to run a gird parameter search for a svm. Therefore I'M using the ksvm function from the kernlab package. ---- svp <- ksvm(Ktrain,ytrain,type="nu-svc",nu=C) ---- The problem is that the optimization algorithm does not return for certain parameters. I tried to use setTimeLimit() but that doesn't seem to help. I suspect that ksvm() calls c code that does not respond to the time limit. I don't know what else to try. Should this be considered to be a bug? Does anyone know a workaround? best regards, Immanuel
Immanuel <mane.desk <at> googlemail.com> writes:> > Hello all, > > I'm trying to run a gird parameter search for a svm. > Therefore I'M using the ksvm function from the kernlab package. > ---- > svp <- ksvm(Ktrain,ytrain,type="nu-svc",nu=C) > ---- > > The problem is that the optimization algorithm does not return > for certain parameters. > > I tried to use setTimeLimit() but that doesn't seem to help. > I suspect that ksvm() calls c code that does not respond to the time limit. > > I don't know what else to try.I would suggest that you (1) try to come up with a reproducible example <http://tinyurl.com/reproducible-000> (that may help you narrow down the diagnosis too) and (2) contact the package maintainers.> Should this be considered to be a bug? > Does anyone know a workaround?Not me.