Nothing
library(mlr3learners)
test_that("classif.logreg", {
learner = lrn("classif.log_reg")
fun = list(stats::glm, stats::glm.control)
exclude = c(
"x", # handled by mlr3
"formula", # handled by mlr3
"family", # handled by mlr3
"data", # handled by mlr3
"weights", # handled by mlr3
"subset", # handled by mlr3
"na.action", # handled by mlr3
"y", # handled by mlr3
"method", # we always use glm()
"control", # handled by glm.control
"contrasts" # causes lots of troubles just when setting the default
)
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 = ""))
)
})
test_that("predict classif.log_reg", {
learner = lrn("classif.log_reg")
fun = stats::predict.glm
exclude = c(
"object", # handled via mlr3
"newdata", # handled via mlr3
"type", # handled via mlr3
"terms", # handled via mlr3 type arg
"na.action", # handled via mlr3
"se.fit" # not supported for log reg
)
ParamTest = run_paramtest(learner, fun, exclude, tag = "predict")
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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