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.args
for 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::dunn
and 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_slim
learner 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