praznik_mrmr: Support for regr and surv tasks

Author: pat-s

NEWS.md

@@ -13,17 +13,19 @@
   (@jakob-r, #1784)
 - `e1071::svm()` now only uses the formula interface if factors are present. This change is supposed to prevent from "stack overflow" issues some users encountered when using large datasets. See #1738 for more information. (@mb706, #1740)
 
-## functions - general
-- `getClassWeightParam()` now also works for Wrapper* Models and ensemble models (@ja-thomas, #891)
-- added `getLearnerNote()` to query the "Note" slot of a learner (@alona-sydorova, #2086)
-
 ## learners - new
 - add learner `cluster.MiniBatchKmeans` from package _ClusterR_ (@Prasiddhi, #2554)
 
 ## function - general
 - `plotHyperParsEffect()` now supports facet visualization of hyperparam effects for nested cv (@MasonGallo, #1653)
 - fixed a bug that caused an incorrect aggregation of probabilities in some cases. The bug existed since quite some time and was exposed due to the change of `data.table`s default in `rbindlist()`. See #2578 for more information. (@mllg, #2579)
 - fixed a bug in which `options(on.learner.error)` was not respected in `benchmark()`. This caused `benchmark()` to stop even if it should have continued including `FailureModels` in the result (@dagola, #1984)
+- `getClassWeightParam()` now also works for Wrapper* Models and ensemble models (@ja-thomas, #891)
+- added `getLearnerNote()` to query the "Note" slot of a learner (@alona-sydorova, #2086)
+
+## filters - general
+
+- Filter `praznik_mrmr` also supports `regr` and `surv` tasks
 
 # mlr 2.14.0
 

R/Filter.R

@@ -1003,7 +1003,7 @@ makeFilter(
   name = "praznik_MRMR",
   desc = "Minimum redundancy maximal relevancy filter",
   pkg = "praznik",
-  supported.tasks = "classif",
+  supported.tasks = c("classif", "regr", "surv"),
   supported.features = c("numerics", "factors", "integer", "character", "logical"),
   fun = praznik_filter("MRMR")
 )