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test_that("surv_gbm", {
requirePackagesOrSkip("gbm", default.method = "load")
parset.list = list(
list(),
list(n.trees = 10L),
list(interaction.depth = 2L, n.trees = 10L)
)
old.predicts.list = list()
for (i in seq_along(parset.list)) {
parset = parset.list[[i]]
pars = list(surv.formula, data = surv.train, distribution = "coxph")
pars = c(pars, parset)
set.seed(getOption("mlr.debug.seed"))
capture.output({
m = do.call(gbm::gbm, pars)
})
p = gbm::predict.gbm(m, newdata = surv.test, n.trees = m$n.trees)
old.predicts.list[[i]] = p
}
testSimpleParsets("surv.gbm", surv.df, surv.target, surv.train.inds,
old.predicts.list, parset.list)
})
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