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Version 2.19

mlr 2.19.0

CRAN release: 2021-02-22

  • 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 2.19.1

CRAN release: 2022-09-29

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