This packages provides essential learners for mlr3, maintained by the mlr-org team. We will most likely not add new learners to this package.

Other learners live in the mlr3learners organization and are possibly maintained by people outside the mlr-org team. There is a wiki page listing all currently available custom learners. A guide on how to create custom learners is covered in the mlr3book. Feel invited to contribute a missing learner to the mlr3 ecosystem :-)

Classification Learners

ID Learner Package
classif.glmnet Penalized Logistic Regression glmnet
classif.kknn k-Nearest Neighbors kknn
classif.lda LDA MASS
classif.log_reg Logistic Regression stats
classif.naive_bayes Naive Bayes e1071
classif.qda QDA MASS
classif.ranger Random Forest ranger
classif.svm SVM e1071
classif.xgboost Gradient Boosting xgboost

Regression Learners

ID Learner Package
regr.glmnet Penalized Linear Regression glmnet
regr.kknn k-Nearest Neighbors kknn Kriging DiceKriging
regr.lm Linear Regression stats
regr.ranger Random Forest ranger
regr.svm SVM e1071
regr.xgboost Gradient Boosting xgboost