Description
Recommended Learners for 'mlr3'.
Description
Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
README.md
mlr3learners
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
Installation
# 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)
Classification Learners
| 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 |
Regression Learners
| 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. |