Noah Silverman wrote:
Hi,
I have a process using svm from the e1071 library.
It's called a *package* which is probably installed in a *library* of
packages.
it works.
I want to try using the KSVM library instead. The same data used wiht
e1071 gives me an error with KSVM.
I guess you are talking about the ksvm *function* in *package* kernlab
now, right?
My data is a data.frame.
sample code:
svm_formula <- formula(y ~ a + B + C)
You do not use svm_function below, do you?
svm_model <- ksvm(formula, data=train_data, type="C-svc",
kernel="rbfdot", C=1)
>
I get the following error:
"object is not a matrix"
ksvm works for me. Please specify a reproducible example (including the
data) or give us at least the output of str(data) and specofy which
verions of R and kernlab you are talking about.
Uwe Ligges
So I tried this:
svm_model <- ksvm(formula, data=as.matrix(train_data), type="C-svc",
kernel="rbfdot", C=1, scaled=FALSE)
Now I get this error:
"Error in model.fram.definition(data = list(v1 = c(1.1234, -2.3232:
Object is not a matrix
My data was previously scaled with the scale() function so that the mean
is centered at 0. and the range is {-1,1}
Can anyone provide some suggestions as to why I'm getting an error?
Thanks!
-N
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