README.md

In mlr-org/mlr3learners: Recommended Learners for 'mlr3'

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 |

mlr-org/mlr3learners documentation built on Feb. 16, 2025, 9:34 a.m.