test_that("paramtest surv.ctree train", {
learner = lrn("surv.ctree")
fun_list = list(partykit::ctree, partykit::ctree_control, partykit::predict.party,
mvtnorm::GenzBretz)
exclude = c(
"formula", # handled in mlr3
"data", # handled in mlr3
"subset", # handled in mlr3
"weights", # handled in mlr3
"na.action", # handled in mlr3
"control", # handled in partykit::ctree_control
"ytrafo", # handled in mlr3pipelines
"converged", # not to be used by the user
"perm", # used for variable importance (permuting the data)
"newdata", # handled by mlr3
"object", # handled by mlr3
"pargs", # control parameters (GenzBretz()) are passed explicitly :
"maxpts", # pargs param
"releps", # pargs param
"abseps"
)
paramtest = run_paramtest(learner, fun_list, exclude, tag = "train")
expect_paramtest(paramtest)
})
#
# no predict time parameters
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