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test_that("classif_LiblineaRL2SVC", {
requirePackagesOrSkip("LiblineaR", default.method = "load")
parset.list1 = list(
list(type = 2L),
list(type = 1L),
list(type = 1L, cost = 5L),
list(type = 2L, cost = 5L)
)
parset.list2 = list(
list(),
list(type = 1L),
list(type = 1L, cost = 5L),
list(type = 2L, cost = 5L)
)
old.predicts.list = list()
old.probs.list = list()
for (i in seq_along(parset.list1)) {
parset = parset.list1[[i]]
pars = list(data = binaryclass.train[, -binaryclass.class.col],
target = binaryclass.train[, binaryclass.target])
pars = c(pars, parset)
set.seed(getOption("mlr.debug.seed"))
m = do.call(LiblineaR::LiblineaR, pars)
p = predict(m, newx = binaryclass.test[, -binaryclass.class.col])
old.predicts.list[[i]] = as.factor(p$predictions)
}
testSimpleParsets("classif.LiblineaRL2SVC", binaryclass.df, binaryclass.target,
binaryclass.train.inds, old.predicts.list, parset.list2)
})
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