Version dev • mlr

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)

Fix print.FeatSelResult() when bits.to.features is used in selectFeatures() (#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)

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)

remove measure clValid::dunn and its tests (package orphaned) (#2742)
Refactor function calls from packages (<pkg::fun>) within ParamSets (#2730) to avoid errors in listLearners() if those pkgs are not installed
remove regr_slim learner due to pkg (flare) being orphaned on CRAN

Internal changes.

Warning if fix.factors.prediction = TRUE causes the generation of NAs for new factor levels in prediction (@jakob-r, #2794)
Clear error message if prediction of wrapped learner has not the same length as newdata (@jakob-r, #2794)

Switch to testthat v3 (#2796)
Enable parallel tests (#2796)
replace package PMCMR by PMCMRplus (#2796)
Remove CoxBoost learner due to CRAN removal
Silence warnings in tests

Add filter FSelectoRcpp::relief(). This C++ based implementation of the RelieF filter algorithm is way faster than the Java based one from the {FSelector} package (#2804)
Fix S3 print method for FilterWrapper objects
Make ibrier measure work with survival tasks (#2789)