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))
T
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:
'
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