Man pages for mlr-org/mlr3extralearners
Extra Learners For mlr3
| create_learner | Create a New Learner |
| install_learners | Install Learner Dependencies |
| list_mlr3learners | List Learners in mlr3verse |
| mlr3extralearners-package | mlr3extralearners: Extra Learners For mlr3 |
| mlr_learners_classif.abess | Classification Abess Learner |
| mlr_learners_classif.AdaBoostM1 | Classification AdaBoostM1 Learner |
| mlr_learners_classif.bart | Classification BART (Bayesian Additive Regression Trees)... |
| mlr_learners_classif.bayes_net | Classification Bayes Network Learner |
| mlr_learners_classif.C50 | Classification C5.0 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.decision_stump | Classification Decision Stump Learner |
| mlr_learners_classif.decision_table | Classification Decision Table Learner |
| mlr_learners_classif.earth | Classification MARS (Multivariate Adaptive Regression... |
| 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 | Classification Gaussian Process Learner |
| mlr_learners_classif.gbm | Gradient Boosting Classification Learner |
| mlr_learners_classif.glmboost | Boosted Generalized Linear Classification Learner |
| mlr_learners_classif.glmer | Classification Linear Mixed Effect Learner |
| mlr_learners_classif.IBk | Classification IBk Learner |
| mlr_learners_classif.imbalanced_rfsrc | Classification Imbalanced Random Forest Src Learner |
| mlr_learners_classif.J48 | Classification J48 Learner |
| mlr_learners_classif.JRip | Classification JRip Learner |
| mlr_learners_classif.kstar | Classification KStar Learner |
| mlr_learners_classif.ksvm | Classification Kernlab Support Vector Machine |
| mlr_learners_classif.liblinear | LiblineaR Classification Learner |
| mlr_learners_classif.lightgbm | Classification LightGBM Learner |
| mlr_learners_classif.LMT | Classification Logistic Model Trees Learner |
| mlr_learners_classif.logistic | Classification Logistic Regression 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.multilayer_perceptron | Classification MultilayerPerceptron Learner |
| mlr_learners_classif.naive_bayes_multinomial | Classification Multinomial Naive Bayes Learner From Weka |
| mlr_learners_classif.naive_bayes_weka | Classification Naive Bayes Learner From Weka |
| mlr_learners_classif.OneR | Classification OneR Learner |
| mlr_learners_classif.PART | Classification PART Learner |
| mlr_learners_classif.priority_lasso | Classification Priority Lasso Learner |
| mlr_learners_classif.randomForest | Classification Random Forest Learner |
| mlr_learners_classif.random_forest_weka | Classification Random Forest Learner from Weka |
| mlr_learners_classif.random_tree | Classification Random Tree Learner |
| mlr_learners_classif.reptree | Classification Decision Tree Learner |
| mlr_learners_classif.rfsrc | Classification Random Forest SRC Learner |
| mlr_learners_classif.rpf | Classification Random Planted Forest Learner |
| mlr_learners_classif.sgd | Classification Stochastic Gradient Descent Learner |
| mlr_learners_classif.simple_logistic | Classification SimpleLogistic Learner |
| mlr_learners_classif.smo | Classification Support Vector Machine Learner |
| mlr_learners_classif.voted_perceptron | Classification Voted Perceptron 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 |
| mlr_learners_regr.abess | Regression Abess 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.decision_stump | Regression Decision Stump Learner |
| mlr_learners_regr.decision_table | Regression Decision Table 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.gaussian_processes | Regression Gaussian Processes Learner From Weka |
| 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.IBk | Regression IBk Learner |
| mlr_learners_regr.kstar | Regression KStar 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 LightGBM Learner |
| mlr_learners_regr.linear_regression | Regression Linear Regression Learner From Weka |
| mlr_learners_regr.lmer | Regression Linear Mixed Effects Learner |
| mlr_learners_regr.m5p | Regression M5P Learner |
| mlr_learners_regr.M5Rules | Regression M5Rules Learner |
| mlr_learners_regr.mars | Regression Mars Learner |
| mlr_learners_regr.mob | Regression Model-based Recursive Partitioning Learner |
| mlr_learners_regr.multilayer_perceptron | Regression MultilayerPerceptron Learner |
| mlr_learners_regr.priority_lasso | Regression Priority Lasso Learner |
| mlr_learners_regr.randomForest | Regression Random Forest Learner |
| mlr_learners_regr.random_forest_weka | Regression Random Forest Learner from Weka |
| mlr_learners_regr.random_tree | Regression Random Tree Learner |
| mlr_learners_regr.reptree | Regression Decision Tree Learner |
| mlr_learners_regr.rfsrc | Regression Random Forest SRC Learner |
| mlr_learners_regr.rpf | Regression Random Planted Forest Learner |
| mlr_learners_regr.rsm | Regression Response Surface Model Learner |
| mlr_learners_regr.rvm | Regression Relevance Vector Machine Learner |
| mlr_learners_regr.sgd | Regression Stochastic Gradient Descent Learner |
| mlr_learners_regr.simple_linear_regression | Regression SimpleLinearRegression Learner from Weka |
| mlr_learners_regr.smo_reg | Regression Support Vector Machine Learner |
| mlr_learners_surv.akritas | Survival Akritas Estimator Learner |
| mlr_learners_surv.aorsf | Accelerated Oblique Random Survival Forest Learner |
| mlr_learners_surv.bart | Survival Bayesian Additive Regression Trees 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... |
| mlr_learners_surv.cv_glmnet | Cross-Validated GLM with Elastic Net Regularization Survival... |
| 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.priority_lasso | Survival Priority Lasso 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 |
| mlr_learners_surv.xgboost.aft | Extreme Gradient Boosting AFT Survival Learner |
| mlr_learners_surv.xgboost.cox | Extreme Gradient Boosting Cox Survival Learner |
| reexports | Objects exported from other packages |
