Changelog

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

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

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.

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

mlr3extralearners 0.1.3.9000