mlr 2.19.1.9000

## Continuous integration

- Only build on r-devel

- Add fledge support

## precommit

- Skip styler hook due to timeout

- Remove roxygenize hook

## CPPFLAGS

- Suppress unused arguments warning

## 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](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](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](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

mlr 2.19.1

## Bug fixes

- Adjust behavior of `"positive"` arg for `classif.logreg` (#2846)

- 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)

- Remove depcrecated {rrlda} learner

- Resolve some {ggplot} deprecation warnings

- Fixed `information.gain` filter calculation.
  Before, `chi.squared` was calculated even though `information.gain` was requested due to a glitch in the filter naming (#2816, @jokokojote)

- Make `helpLearnerParam()`'s HTML parsing more robust (#2843)

- Add HTML5 support for help pages

mlr 2.19.0.9001

# mlr 2.19.0.9001

- Fixed `information.gain` filter calculation. Before, `chi.squared` was calculated even though `information.gain` was requested due to a glitch in the filter naming (#2816, @jokokojote)

mlr 2.19.0

- 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)
- Switch to testthat v3 (#2796)
- Enable parallel tests (#2796)
- Replace package PMCMR by PMCMRplus (#2796)
- Remove CoxBoost learner due to CRAN removal
- 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)

mlr 2.19.0-rc

- 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)
- Switch to testthat v3 (#2796)
- Enable parallel tests (#2796)
- Replace package PMCMR by PMCMRplus (#2796)
- Remove CoxBoost learner due to CRAN removal
- 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)

mlr 2.19.0.9000

- Internal changes only.

mlr 2.19.0-rc

- 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)
- Switch to testthat v3 (#2796)
- Enable parallel tests (#2796)
- Replace package PMCMR by PMCMRplus (#2796)
- Remove CoxBoost learner due to CRAN removal
- 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)

mlr 2.18.0.9003

- 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

mlr 2.18.0.9002

- 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

mlr 2.18.0.9001

- 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)