Changelog

mlr3extralearners 0.3.0

  • Added LearnerRegrLightGBM and LearnerClassifLightGBM with keys regr.lightgbm and classif.lightgbm respectively. Copied from mlr3learners.lightgbm
  • LearnerRegrLiblineaRX and LearnerClassifLiblineaRX deprecated in favour of only two learners (LearnerRegrLiblineaR and LearnerClassLiblineaR) with added hyper-parameters. Deprecated learners will be removed in v0.3.0.
  • Deprecated classif.nnet will be removed in v0.4.0.
  • Deprecated liblinearX will be removed in v0.4.0.

mlr3extralearners 0.2.0

  • dist = "logistic" has been removed from surv.parametric as it is unclear what this was previously predicting.
  • Added type = "tobit" for dist = "gaussian" so predictions can correspond with survival::survreg.
  • Added LearnerRegrGlm with the unique key regr.glm from package stats, which allows users to change the family hyperparameter when fitting generalized linear regression models.
  • Minor internal changes
  • Removed keeptrees parameter from classif.bart as this is forced internally
  • Fixed incorrect response and probability predictions in classif.bart
  • Added hyper-parameters to classif.earth and regr.earth
  • Added se predict type to regr.earth
  • Fixed predictions in regr.knn and classif.knn

mlr3extralearners 0.1.3

  • mlr3proba moved to Suggests
  • install_learners now additionally installs required mlr3 packages
  • Bugfix in surv.parametric occurring if feature names are switched between training and predicting
  • Deprecated classif.nnet, in the future please load from mlr3learners

mlr3extralearners 0.1.2

  • Fixes in crank and distr computation of all survival learners

mlr3extralearners 0.1.1

  • Patch for bugs in surv learners that were reversing the order of crank, see this issue for full details: https://github.com/mlr-org/mlr3proba/issues/165
  • response is no longer returned by surv.mboost, surv.blackboost, surv.glmboost, surv.gamboost or surv.parametric
  • Bugfix in surv.parametric with ph form
  • Bugfix in survivalmodelslearners which weren’t returning distr
  • surv.coxboost and surv.coxboost_cv can now only handle integer and numeric feature types, previous automated internal coercions were inconsistent with mlr3 design.

mlr3extralearners 0.1.0

  • Initial release. mlr3extralearners contains all learners from the mlr3learners organisation, which is now archived.