refactor: remove quantreg parameter

mlr-org · Aug 18, 2024 · 85db887 · 85db887
1 parent c6ae439
commit 85db887
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Showing 2 changed files with 2 additions and 2 deletions.
diff --git a/R/LearnerRegrRanger.R b/R/LearnerRegrRanger.R
@@ -43,7 +43,6 @@ LearnerRegrRanger = R6Class("LearnerRegrRanger",
         num.threads                  = p_int(1L, default = 1L, tags = c("train", "predict", "threads")),
         num.trees                    = p_int(1L, default = 500L, tags = c("train", "predict", "hotstart")),
         oob.error                    = p_lgl(default = TRUE, tags = "train"),
-        # quantreg                     = p_lgl(default = FALSE, tags = "train"),
         regularization.factor        = p_uty(default = 1, tags = "train"),
         regularization.usedepth      = p_lgl(default = FALSE, tags = "train"),
         replace                      = p_lgl(default = TRUE, tags = "train"),

diff --git a/inst/paramtest/test_paramtest_regr.ranger.R b/inst/paramtest/test_paramtest_regr.ranger.R
@@ -17,7 +17,8 @@ test_that("regr.ranger", {
     "status.variable.name", # handled via mlr3
     "classification", # handled via mlr3
     "mtry.ratio", # custom hyperpar
-    "time.interest" # survival only
+    "time.interest", # survival only
+    "quantreg" # handled by predict_type
   )
 
   ParamTest = run_paramtest(learner, fun, exclude, tag = "train")