library(mlr3learners.survival)
test_that("surv.parametric", {
learner = lrn("surv.parametric")
fun = 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
)
ParamTest = run_paramtest(learner, fun, exclude)
expect_true(ParamTest, info = paste0(
"\nMissing parameters:\n",
paste0("- '", ParamTest$missing, "'", collapse = "\n")
))
})
test_that("surv.parametric_control", {
learner = lrn("surv.parametric")
fun = survival::survreg.control # replace!
exclude = c("iter.max" # identical to maxiter
)
ParamTest = run_paramtest(learner, fun, exclude)
expect_true(ParamTest, info = paste0(
"\nMissing parameters:\n",
paste0("- '", ParamTest$missing, "'", collapse = "\n")
))
})
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