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mlr3learners

Package website: release | dev

r-cmd-check Parameter Check CRAN Status StackOverflow Mattermost

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

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.