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test_that("classif_rFerns", {
requirePackagesOrSkip("rFerns", default.method = "load")
parset.list = list(
list(),
list(ferns = 200L, depth = 4L)
)
old.predicts.list = list()
for (i in seq_along(parset.list)) {
parset = parset.list[[i]]
parset = c(list(formula = binaryclass.formula, data = binaryclass.train),
parset)
set.seed(getOption("mlr.debug.seed"))
m = do.call(rFerns::rFerns, parset)
old.predicts.list[[i]] = factor(predict(m, binaryclass.test))
}
testSimpleParsets("classif.rFerns", binaryclass.df, binaryclass.target,
binaryclass.train.inds,
old.predicts.list, parset.list)
})
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