mlr3extralearners 1.4.0

New Features

• New Learners:
  • LearnerSurvGamCox
  • LearnerSurvFlexReg
  • LearnerSurvNCVsurv
  • LearnerRegrRRF
  • LearnerRegrPcr
  • LearnerRegrPlsr
  • LearnerRegrLaGP
  • LearnerRegrFrbs
  • LearnerRegrBcart
  • LearnerRegrBgp
  • LearnerRegrBgpllm
  • LearnerRegrBlm
  • LearnerRegrBtgp
  • LearnerRegrBtgpllm
  • LearnerRegrBtlm
  • LearnerRegrNCVReg
  • LearnerClassifDbnDNN
  • LearnerClassifNNTrain
  • LearnerClassifSparseLDA
  • LearnerClassifNCVreg

Contributors: @bblodfon @awinterstetter @be-marc

Breaking Changes

• lrn("surv.flexible") (LearnerSurvFlexible) was renamed to lrn("surv.flexsurvspline") (LearnerSurvFlexSpline) to properly reflect the wrapped train function (Royston/Parmar spline model).

Other

• CoxBoost is now on CRAN, so we removed it from Remotes
• lrn("surv.flexsurvspline") predicts linear predictors using predict.flexsurvreg(). We were doing manually the same exact prediction, so no functionality was changed.
• compatibility: xgboost 3.1.2.1 (survival learners)
• parameter updates for regr.lmer/glmer learners
• updates for randomForestSRC 3.5.0 (use.uno parameter)
• performance improvement: use of data.table::fifelse (@m-muecke)