mlr 2.17.1.9002

 - `getFeatureImportance()`: Account for feature importance weight of linear xgboost models

mlr 2.17.1.9001

- Fix learner note for learner glmnet (the default of param `s` did not match the learner note) (mlr-org#2747)
- Remove dep {hrbrthemes} used in `createSpatialResamplingPlots()`. The package caused issues on R-devel. In addition users should set custom themes by themselves.
- Explicitly return value in `getNestedTuneResultsOptPathDf()` (mlr-org#2754)

mlr 2.17.1.9000

- Internal changes only

release v2.17.1

mlr 2.17.0.9003

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

mlr 2.17.0.9002

- Bugfix: `tuneThreshold()` now accounts for the direction of the measure. 
  Beforehand, the performance measure was always minimized (mlr-org#2732).
- pkgdown: Move changelog to Appendix
- Account for {checkmate} v2.0.0 update (mlr-org#2734)

mlr 2.17.0.9001

* Fix `print.FeatSelResult()` when bits.to.features is used in `selectFeatures()` (mlr-org#2721)
* Return a long DF for `getFeatureImportance()` (mlr-org#2708)
* Remove adjusted Rsq measure (arsq), fixes mlr-org#2711
* `listLearners()` should not fail if a package is not installed (mlr-org#2717)

mlr 2.17.0.9000

remove direct calls to classiFunc:: at all

use pkgdown dev & release