test_that("paramtest surv.parametric train", {
learner = lrn("surv.parametric")
fun = list(survivalmodels::parametric, survival::survreg)
exclude = c(
"maxiter", # control parameter
"rel.tolerance", # control parameter
"toler.chol", # control parameter
"debug", # control parameter
"outer.max", # control parameter
"control", # control parameter
"weights", # handled in mlr3
"subset", # handled in mlr3
"x", # x,y,data are all coerced to formula internally
"y", # x,y,data are all coerced to formula internally
"model", # model always returned
"data", # x,y,data are all coerced to formula internally
"formula", # x,y,data are all coerced to formula internally
"reverse", # handled in mlr3
"time_variable", # handled in mlr3
"status_variable", # handled in mlr3
"eps" # handled in mlr3
)
paramtest = run_paramtest(learner, fun, exclude, tag = "train")
expect_paramtest(paramtest)
})
test_that("paramtest surv.parametric predict", {
learner = lrn("surv.parametric")
fun = survivalmodels:::predict.parametric
exclude = c(
"object", # handled internally
"newdata", # handled internally
"type", # handled internally
"distr6", # handled internally
"form", # handled internally
"times", # handled internally
"ntime", # handled internally
"round_time", # handled internally
"discrete"
)
paramtest = run_paramtest(learner, fun = fun, exclude, tag = "predict")
expect_paramtest(paramtest)
})
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