I expected, that I will get the same prediction, if I multiply the
weights for all classes with a constant factor, but I got different
results. Please look for the following code.
> library(e1071)
> data(Glass, package = "mlbench")
> index <- 1:nrow(Glass)
> testindex <- sample(index, trunc(lengt
Dear R-users,
Does anyone know how to get margins' information using SVM under package e1071?
I have a two class classification problem and I'd like to have, for each input
example, the distance of this example to the margin just like it's possible to
obtain using C-based SVM-light, for instan
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