Function reference • mlr3extralearners

Helpers

create_learner(): Create a New Learner

list_mlr3learners(): List Learners in mlr3verse

install_catboost(): Install catboost

install_learners(): Install Learner Dependencies

reexports: Objects exported from other packages

Classification Learners

mlr_learners_classif.AdaBoostM1: Classification AdaBoostM1 Learner

mlr_learners_classif.C50: Classification C5.0 Learner

mlr_learners_classif.IBk: Classification IBk Learner

mlr_learners_classif.J48: Classification J48 Learner

mlr_learners_classif.JRip: Classification JRip Learner

mlr_learners_classif.LMT: Classification Logistic Model Trees Learner

mlr_learners_classif.OneR: Classification OneR Learner

mlr_learners_classif.PART: Classification PART Learner

mlr_learners_classif.bart: Classification BART (Bayesian Additive Regression Trees) Learner

mlr_learners_classif.catboost: Gradient Boosted Decision Trees Classification Learner

mlr_learners_classif.cforest: Classification Conditional Random Forest Learner

mlr_learners_classif.ctree: Classification Conditional Inference Tree Learner

mlr_learners_classif.earth: Classification MARS (Multivariate Adaptive Regression Splines) Learner

mlr_learners_classif.fnn: Fast Nearest Neighbour Classification

mlr_learners_classif.gam: Classification Generalized Additive Model Learner

mlr_learners_classif.gamboost: Boosted Generalized Additive Classification Learner

mlr_learners_classif.gausspr: Classifession Gaussian Process Learner

mlr_learners_classif.gbm: Gradient Boosting Classification Learner

mlr_learners_classif.glmboost: Boosted Generalized Linear Classification Learner

mlr_learners_classif.ksvm: Classification Kernlab Support Vector Machine

mlr_learners_classif.liblinear: LiblineaR Classification Learner

mlr_learners_classif.lightgbm: Classification Light GBM Learner

mlr_learners_classif.lssvm: Classification Least Squares Support Vector Machine Learner

mlr_learners_classif.mob: Classification Model-based Recursive Partitioning Learner

mlr_learners_classif.randomForest: Classification Random Forest Learner

mlr_learners_classif.rfsrc: Classification Random Forest SRC Learner

Regression Learners

mlr_learners_regr.IBk: Regression IBk Learner

mlr_learners_regr.M5Rules: Regression M5Rules Learner

mlr_learners_regr.bart: Regression BART (Bayesian Additive Regression Trees) Learner

mlr_learners_regr.catboost: Gradient Boosted Decision Trees Regression Learner

mlr_learners_regr.cforest: Regression Conditional Random Forest Learner

mlr_learners_regr.ctree: Regression Conditional Inference Tree Learner

mlr_learners_regr.cubist: Regression Cubist Learner

mlr_learners_regr.earth: Implementation of Multivariate Adaptive Regression Splines

mlr_learners_regr.fnn: Regression Fast Nearest Neighbor Search Learner

mlr_learners_regr.gam: Regression Generalized Additive Model Learner

mlr_learners_regr.gamboost: Boosted Generalized Additive Regression Learner

mlr_learners_regr.gausspr: Regression Gaussian Process Learner

mlr_learners_regr.gbm: Regression Gradient Boosting Machine Learner

mlr_learners_regr.glm: Generalized Linear Regression

mlr_learners_regr.glmboost: Boosted Generalized Linear Regression Learner

mlr_learners_regr.ksvm: Regression Kernlab Support Vector Machine

mlr_learners_regr.liblinear: L2-Regularized Support Vector Regression Learner

mlr_learners_regr.lightgbm: Regression Light GBM Learner

mlr_learners_regr.lmer: Regression Linear Mixed Effects Learner

mlr_learners_regr.mars: Regression Mars Learner

mlr_learners_regr.mob: Regression Model-based Recursive Partitioning Learner

mlr_learners_regr.randomForest: Regression Random Forest Learner

mlr_learners_regr.rfsrc: Regression Random Forest SRC Learner

mlr_learners_regr.rvm: Regression Relevance Vector Machine Learner

Survival Learners

mlr_learners_surv.akritas: Survival Akritas Estimator Learner

mlr_learners_surv.blackboost: Gradient Boosting with Regression Trees Survival Learner

mlr_learners_surv.cforest: Survival Conditional Random Forest Learner

mlr_learners_surv.coxboost: Survival Cox Model with Likelihood Based Boosting Learner

mlr_learners_surv.coxtime: Survival Cox-Time Learner

mlr_learners_surv.ctree: Survival Conditional Inference Tree Learner

mlr_learners_surv.cv_coxboost: Survival Cox Model with Cross-Validation Likelihood Based Boosting Learner

mlr_learners_surv.cv_glmnet: Cross-Validated GLM with Elastic Net Regularization Survival Learner

mlr_learners_surv.deephit: Survival DeepHit Learner

mlr_learners_surv.deepsurv: Survival DeepSurv Learner

mlr_learners_surv.dnnsurv: Survival DNNSurv Learner

mlr_learners_surv.flexible: Survival Flexible Parametric Spline Learner

mlr_learners_surv.gamboost: Boosted Generalized Additive Survival Learner

mlr_learners_surv.gbm: Survival Gradient Boosting Machine Learner

mlr_learners_surv.glmboost: Boosted Generalized Linear Survival Learner

mlr_learners_surv.glmnet: GLM with Elastic Net Regularization Survival Learner

mlr_learners_surv.loghaz: Survival Logistic-Hazard Learner

mlr_learners_surv.mboost: Boosted Generalized Additive Survival Learner

mlr_learners_surv.nelson: Survival Nelson-Aalen Estimator Learner

mlr_learners_surv.obliqueRSF: Survival Oblique Random Survival Forest Learner

mlr_learners_surv.parametric: Survival Fully Parametric Learner

mlr_learners_surv.pchazard: Survival PC-Hazard Learner

mlr_learners_surv.penalized: Survival L1 and L2 Penalized Regression Learner

mlr_learners_surv.ranger: Ranger Survival Learner

mlr_learners_surv.rfsrc: Survival Random Forest SRC Learner

mlr_learners_surv.svm: Survival Support Vector Machine Learner

mlr_learners_surv.xgboost: Extreme Gradient Boosting Survival Learner

Density Learners

mlr_learners_dens.kde_kd: Density Kerdiest Kernel Learner

mlr_learners_dens.kde_ks: Density KS Kernel Learner

mlr_learners_dens.locfit: Density Locfit Learner

mlr_learners_dens.logspline: Density Logspline Learner

mlr_learners_dens.mixed: Density Mixed Data Kernel Learner

mlr_learners_dens.nonpar: Density Nonparametric Learner

mlr_learners_dens.pen: Density Penalized Learner

mlr_learners_dens.plug: Density Plug-In Kernel Learner

mlr_learners_dens.spline: Density Smoothing Splines Learner

General

mlr3extralearners-package: mlr3extralearners: Extra Learners For mlr3