
Version dev
mlr 2.17.0.9000
filters - bugfixes
- Fixed an issue which caused the random forest minimal depth filter to only return NA values when using thresholding. NAs should only be returned for features below the given threshold. (@annette987, #2710)
- Fixed problem which prevented passing filter options via argument more.argsfor simple filters (@annette987, #2709)
mlr 2.17.0.9001
- Fix print.FeatSelResult()when bits.to.features is used inselectFeatures()(#2721)
- Return a long DF for getFeatureImportance()(#2708)
- Remove adjusted Rsq measure (arsq), fixes #2711
- 
listLearners()should not fail if a package is not installed (#2717)
mlr 2.17.0.9002
- Bugfix: tuneThreshold()now accounts for the direction of the measure. Beforehand, the performance measure was always minimized (#2732).
- pkgdown: Move changelog to Appendix
- Account for {checkmate} v2.0.0 update (#2734)
mlr 2.17.0.9003
- remove measure clValid::dunnand its tests (package orphaned) (#2742)
- Refactor function calls from packages (<pkg::fun>) within ParamSets (#2730) to avoid errors inlistLearners()if those pkgs are not installed
- remove regr_slimlearner due to pkg (flare) being orphaned on CRAN
mlr 2.19.1.9000
Uncategorized
- Consistent naming for dummy feature encoding of variables with different levels count (#2847) 
- Remove nodeHarvest learners (#2841) 
- Remove rknn learner (#2842) 
- Remove all {DiscriMiner} learners (#2840) 
- Remove extraTrees learner (#2839) 
- github.com/lorenzwalthert/precommit: v0.3.0 → v0.3.2 (@66853113+pre-commit-ci[bot], #2838) 
- github.com/pre-commit/pre-commit-hooks: v4.2.0 → v4.3.0 (@66853113+pre-commit-ci[bot], #2838) 
- github.com/lorenzwalthert/precommit: v0.2.2.9015 → v0.3.0 (@66853113+pre-commit-ci[bot], #2835) 
- R 4.2 fixes (#2823) 
- Remove depcrecated rrlda learner 
- Resolve some ggplot deprecation warnings