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Recommended learners for mlr3
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R fix condition in regr.svm Nov 13, 2019
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README.md

mlr3learners

This packages provides essential learners for mlr3, maintained by the mlr-org team. We will most likely not add new learners to this package.

Build Status CRAN Status Badge Cran Checks Codecov StackOverflow

Other learners live in the mlr3learners organization and are possibly maintained by people outside the mlr-org team. There is a wiki page listing all currently available custom learners. A guide on how to create custom learners is covered in the mlr3book. Feel invited to contribute a missing learner to the mlr3 ecosystem :-)

Classification Learners

ID Learner Package
classif.glmnet Penalized Logistic Regression glmnet
classif.kknn k-Nearest Neighbors kknn
classif.lda LDA MASS
classif.log_reg Logistic Regression stats
classif.naive_bayes Naive Bayes e1071
classif.qda QDA MASS
classif.ranger Random Forest ranger
classif.svm SVM e1071
classif.xgboost Gradient Boosting xgboost

Regression Learners

ID Learner Package
regr.glmnet Penalized Linear Regression glmnet
regr.kknn k-Nearest Neighbors kknn
regr.km Kriging DiceKriging
regr.lm Linear Regression stats
regr.ranger Random Forest ranger
regr.svm SVM e1071
regr.xgboost Gradient Boosting xgboost
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