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mlr3learners

Package website:release |dev

This packages provides essential learners formlr3, maintained by the mlr-org team.Additional learners can be found in themlr3extralearners package on GitHub.Request additional learners over there.

👉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, setdependencies = 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