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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

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.