Nothing
library(mlr3learners)
test_that("regr.nnet", {
learner = lrn("regr.nnet")
fun = list(nnet::nnet.default, nnet::nnet.formula)
exclude = c(
"x", # handled via mlr3
"y", # handled via mlr3
"weights", # handled via mlr3
"data", # handled via mlr3
"linout", # automatically set to TRUE, since it's the regression learner
"entropy", # mutually exclusive with linout
"softmax" # mutually exclusive with linout
)
ParamTest = run_paramtest(learner, fun, exclude, tag = "train")
expect_true(ParamTest, info = paste0(
"\nMissing parameters in mlr3 param set:\n",
paste0("- ", ParamTest$missing, "\n", collapse = ""),
"\nOutdated param or param defined in additional control function not included in list of function definitions:\n",
paste0("- ", ParamTest$extra, "\n", collapse = ""))
)
})
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