mlr3filters 0.6.0

Add FilterCarSurvScore (#120, @mllg)
Use featureless learner instead of rpart as default learner for FilterImportance and FilterPerformance (#124)
Add documentation for PipeOpFilter
Add mlr3pipelines examples to help pages (#135, @sebffischer)
Add label arg to Filter class (#121, @mllg)

mlr3filters 0.5.0

Add references to benchmark paper and praznik paper (#104)
New filter FilterSelectedFeatures which makes use of embedded feature selection methods of learners. See the help page for more details (#102)
Allow NA as task type. This makes it possible to use other tasks than "regr" or "classif" for certain filters, e.g. FilterVariance (#106)

Fixes an issue where argument nfeat was not passed down to {praznik} filters (#97)

Disable threading in praznik filters by default (5f24742e9b92f6a5f828c4f755be3fb53427afdb, @mllg) Enable by setting hyperparameter threads >= 2 or to 0 for auto-detection of available cores (#93, @mllg)
Document return type of private .calculate() (#92, @mllg)
Allow NA in returned vectors. Features with missing values as well as features with no calculated score are automatically ranked last, in a random order. (#92, @mllg)
praznik filters now also support regr Tasks (#90, @bommert)

Add ReliefF filter (#86)
Fix praznik scores calculation: praznik filters are not monotone in the selected features due to their iterative fashion. E.g., the first selected feature can have a score of 5, the second selected feature a score of 10. This version replaces the praznik scores by a simple sequence (#87, @mllg)

Add Permutation (#70)
Add flts() (#77)
Github Actions: set cron job to 4am to avoid potential download issues with R-devel on macOS
Filters now have a help method $help() which opens the respective help page (#68)