I have two questions.

The svmpath package provides a svmpath function:
fit <- svmpath(xtrain, ytrain, kernel.function = radial.kernel, param.kernel = 
1) How to get the optimal lambda value out of this result?

The svmpath package also provides a predict function:
ytest <- predict(fit, xtest)

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,

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