Hello,
I have two questions.
The svmpath package provides a svmpath function:
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fit <- svmpath(xtrain, ytrain, kernel.function = radial.kernel, param.kernel = 0.8)
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1) How to get the optimal lambda value out of this result?
The svmpath package also provides a predict function:
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ytest <- predict(fit, xtest)
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How to get a score (or a probability of belonging to one of the two classes)
instead of a label as the prediction output?
Thanks a lot,
Francois.