Hello,
I encountered the following problem with the parameter scaled in ksvm()
from package kernlab:
[Package kernlab version 0.9-5]
library(kernlab)
> svp =ksvm(x=mydata,y=y,scaled=T)
Using automatic sigma estimation (sigest) for RBF or laplace kernel
> svp =ksvm(x=mydata,y=y,scaled=F)
Using automatic sigma estimation (sigest) for RBF or laplace kernel
Error in drop((scal^2) * crossprod(fitted(ret) - y)/m) :
object "scal" not found
> class(mydata)
[1] "matrix"
> range(mydata)
[1] 0 100
what is the problem here ?
best regards
Björn
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