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test_that("classif_clusterSVM", {
requirePackagesOrSkip("SwarmSVM", default.method = "load")
parset.list1 = list(
list(centers = 2),
list(centers = 3, seed = 0)
)
parset.list2 = list(
list(),
list(centers = 3, seed = 0)
)
old.predicts.list = list()
for (i in seq_along(parset.list1)) {
parset = parset.list1[[i]]
pars = list(data.matrix(binaryclass.train[, -61]), y = binaryclass.train[, 61])
pars = c(pars, parset)
set.seed(getOption("mlr.debug.seed"))
m = suppressMessages(do.call(SwarmSVM::clusterSVM, pars))
old.predicts.list[[i]] = predict(m, data.matrix(binaryclass.test[, -61]))$predictions
}
testSimpleParsets("classif.clusterSVM", binaryclass.df, binaryclass.target,
binaryclass.train.inds, old.predicts.list, parset.list2)
})
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