mlr3learners
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 |
| regr.km | Kriging | DiceKriging |
| regr.lm | Linear Regression | stats |
| regr.ranger | Random Forest | ranger |
| regr.svm | SVM | e1071 |
| regr.xgboost | Gradient Boosting | xgboost |