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Package website: release | dev
This packages provides essential learners for mlr3, maintained by the mlr-org team. Additional learners can be found in the mlr3extralearners package on GitHub. Request additional learners over there.
:point_right: Table of all learners
# CRAN version:
install.packages("mlr3learners")
# Development version:
remotes::install_github("mlr-org/mlr3learners")If you also want to install all packages of the connected learners, set dependencies = TRUE:
# CRAN version:
install.packages("mlr3learners", dependencies = TRUE)
# Development version:
remotes::install_github("mlr-org/mlr3learners", dependencies = TRUE)| ID | Learner | Package |
|---|---|---|
| classif.cv_glmnet | Penalized Logistic Regression | glmnet |
| classif.glmnet | Penalized Logistic Regression | glmnet |
| classif.kknn | k-Nearest Neighbors | kknn |
| classif.lda | LDA | MASS |
| classif.log_reg | Logistic Regression | stats |
| classif.multinom | Multinomial log-linear model | nnet |
| classif.naive_bayes | Naive Bayes | e1071 |
| classif.nnet | Single Layer Neural Network | nnet |
| classif.qda | QDA | MASS |
| classif.ranger | Random Forest | ranger |
| classif.svm | SVM | e1071 |
| classif.xgboost | Gradient Boosting | xgboost |
| ID | Learner | Package |
|---|---|---|
| regr.cv_glmnet | Penalized Linear Regression | glmnet |
| regr.glmnet | Penalized Linear Regression | glmnet |
| regr.kknn | k-Nearest Neighbors | kknn |
| regr.km | Kriging | DiceKriging |
| regr.lm | Linear Regression | stats |
| regr.nnet | Single Layer Neural Network | nnet |
| regr.ranger | Random Forest | ranger |
| regr.svm | SVM | e1071 |
| regr.xgboost | Gradient Boosting | xgboost |
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.