[R] Error using e1071 svm: NA/NaN/Inf in foreign function call

[David Meyer]

Joao:

1) The error message you get when setting nu=0 is due to the fact that
no support vectors can be found with that extreme restriction, and this
confuses the predict function (try svm(...., fitted = false): the model
returned is empty). In fact, the C++ code interfaced by svm() clearly
allows nu = 0 and nu = 1, although these aren't sensible values. I will
add a check to the R code and drop Chih-Chen Lin, the author of the C
code, a message -- thanks for pointing this out.

2) The libsvm code is not optimized for polynomial kernels and is known
to perform quite badly in that case (in contrast to the RBF kernel for
which it is very fast). Do you think you need the whole data set for
tuning the parameters?

Best,

David