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test_that("classif_evtree", {
requirePackagesOrSkip("evtree", default.method = "load")
parset.list = list(
list(),
list(maxdepth = 2),
list(ntrees = 200)
)
old.predicts.list = list()
old.probs.list = list()
for (i in seq_along(parset.list)) {
parset = parset.list[[i]]
pars = list(formula = binaryclass.formula, data = binaryclass.train)
pars = c(pars, parset)
set.seed(getOption("mlr.debug.seed"))
m = do.call(evtree::evtree, pars)
old.predicts.list[[i]] = predict(m, newdata = binaryclass.test)
p = predict(m, newdata = binaryclass.test, type = "prob")
old.probs.list[[i]] = p[, 1]
}
testSimpleParsets("classif.evtree", binaryclass.df, binaryclass.target,
binaryclass.train.inds, old.predicts.list, parset.list)
testProbParsets("classif.evtree", binaryclass.df, binaryclass.target,
binaryclass.train.inds, old.probs.list, parset.list)
})
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