mlr3filters 0.8.0

• Added FilterBoruta
• Fixed issue with FilterPerformance where the arg measure wasn't passed on
• Added FilterUnivariateCox (thanks to @bblodfon)
• Parameter value na.rm is properly initialized to TRUE (thanks to @bblodfon)
• Bugfix: property missings is now set correctly for FilterFindCorrelation

mlr3filters 0.7.1

• Tagged multiple filters to be able of gracefully handling missing values.
• Added more supported feature types to FilterCarScore.
• Improved documentation.

mlr3filters 0.7.0

• Features are now checked for missing values to improve error messages (#140)
• Removed deprecated functions
• Use featureless learner in defaults (#124)

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)

mlr3filters 0.4.2

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

mlr3filters 0.4.1

• Disable threading in praznik filters by default (5f24742, @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)

mlr3filters 0.4.0

• 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)

mlr3filters 0.3.0

• 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)

mlr3filters 0.2.0

Internal

• Use private$.calculate instead of public "calculate" method for Filters
• switch from Travis to GitHub Actions
• Use Roxygen R6 notation for docs

Enhancements

• new filter FilterFindCorrelation (#62, @mb706)