Achim.Zeileis at wu-wien.ac.at
Mon Nov 29 21:34:37 CET 2004
Sending a help request once is enough! Even if you don't have an answer
after 1 hour.
> I am trying to tune an svm by doing the following:
> tune(svm, similarity ~., data = training, degree = 2^(1:2), gamma =
> 2^(-1:1), coef0 = 2^(-1:1), cost = 2^(2:4), type = "polynomial")
I think you want to set `kernel' not `type'...
> but I am getting
> Error in svm.default(x, y, scale = scale, ...) :
> wrong type specification!
...checking the argument `type' on ?svm would have told you that.
> I have to admit I am not sure what I am doing wrong. Could anyone
> tell me why the parameters I am using are wrong?
> Plus could anyone tell me how to go about picking the correct ranges
> for my tuning?
Surprisingly, you have to set `ranges' to specify the ranges of the
obj <- tune(svm, Species ~ ., data = iris,
ranges = list(degree =2^(1:2), gamma = 2^(-1:1),
coef0 = 2^(-1:1), cost = 2^(2:4)),
kernel = "polynomial")
I'm not sure what good ranges are to tune an SVM with a polynomial
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