Noah Silverman wrote:
Hello,
I'm using the e1071 library for SVM functions.
I can quickly train an SVM with:
svm(formula = label ~ ., data = testdata)
That works well.
I want to tune the parameters, so I tried:
tune.svm(label ~ ., data=testdata[1:2000, ], gamma=10^(-6:3), cost=10^(1:2))
THIS FAILS WITH AN ERROR:
'names' attribute [199] must be the same length as the vector [184]
I don't understand why this is happening.
We do not know, since you forgot to specify a reproducible example.
Anyway, is label in your workspace and/or in the "testdata"?
Uwe Ligges
Presumably, if the data is
correct for training an SVM, then it should also be correct for the
tune.svm function.
Can anyone help me solve this one?
Thanks!
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