context("classif_wsrf")
test_that("classif_wsrf", {
requirePackages("wsrf", default.method = "load")
parset.list = list(
list(ntrees = 100L),
list(mtry = 5L, ntrees = 100L, weights = FALSE)
)
old.predicts.list = list()
old.probs.list = list()
for (i in seq_along(parset.list)) {
parset = parset.list[[i]]
parset = c(list(formula = binaryclass.formula, data = binaryclass.train, parallel = FALSE), parset)
set.seed(getOption("mlr.debug.seed"))
m = do.call(wsrf::wsrf, parset)
old.predicts.list[[i]] = wsrf::predict.wsrf(m, binaryclass.test)
old.probs.list[[i]] = wsrf::predict.wsrf(m, binaryclass.test, type = "prob")[,1L]
}
testSimpleParsets("classif.wsrf", binaryclass.df, binaryclass.target, binaryclass.train.inds,
old.predicts.list, parset.list)
testProbParsets("classif.wsrf", binaryclass.df, binaryclass.target, binaryclass.train.inds,
old.probs.list, parset.list)
})
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