Function reference
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create_learner()
- Create a New Learner
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list_mlr3learners()
- List Learners in mlr3verse
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install_catboost()
- Install catboost
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install_learners()
- Install Learner Dependencies
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reexports
- Objects exported from other packages
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mlr_learners_classif.AdaBoostM1
- Classification AdaBoostM1 Learner
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mlr_learners_classif.C50
- Classification C5.0 Learner
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mlr_learners_classif.IBk
- Classification IBk Learner
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mlr_learners_classif.J48
- Classification J48 Learner
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mlr_learners_classif.JRip
- Classification JRip Learner
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mlr_learners_classif.LMT
- Classification Logistic Model Trees Learner
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mlr_learners_classif.OneR
- Classification OneR Learner
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mlr_learners_classif.PART
- Classification PART Learner
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mlr_learners_classif.bart
- Classification BART (Bayesian Additive Regression Trees) Learner
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mlr_learners_classif.catboost
- Gradient Boosted Decision Trees Classification Learner
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mlr_learners_classif.cforest
- Classification Conditional Random Forest Learner
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mlr_learners_classif.ctree
- Classification Conditional Inference Tree Learner
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mlr_learners_classif.earth
- Classification MARS (Multivariate Adaptive Regression Splines) Learner
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mlr_learners_classif.extratrees
- Classification ExtraTrees Learner
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mlr_learners_classif.fnn
- Classification Fast Nearest Neighbor Search Learner
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mlr_learners_classif.gam
- Classification Generalized Additive Model Learner
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mlr_learners_classif.gamboost
- Boosted Generalized Additive Classification Learner
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mlr_learners_classif.gausspr
- Classifession Gaussian Process Learner
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mlr_learners_classif.gbm
- Classification Gradient Boosting Machine Learner
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mlr_learners_classif.glmboost
- Boosted Generalized Linear Classification Learner
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mlr_learners_classif.ksvm
- Classification Kernlab Support Vector Machine
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mlr_learners_classif.liblinear
- LiblineaR Classification Learner
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mlr_learners_classif.lightgbm
- Classification Light GBM Learner
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mlr_learners_classif.lssvm
- Classification Least Squares Support Vector Machine Learner
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mlr_learners_classif.mob
- Classification Model-based Recursive Partitioning Learner
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mlr_learners_classif.randomForest
- Classification Random Forest Learner
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mlr_learners_classif.rfsrc
- Classification Random Forest SRC Learner
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mlr_learners_regr.IBk
- Regression IBk Learner
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mlr_learners_regr.M5Rules
- Regression M5Rules Learner
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mlr_learners_regr.bart
- Regression BART (Bayesian Additive Regression Trees) Learner
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mlr_learners_regr.catboost
- Gradient Boosted Decision Trees Regression Learner
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mlr_learners_regr.cforest
- Regression Conditional Random Forest Learner
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mlr_learners_regr.ctree
- Regression Conditional Inference Tree Learner
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mlr_learners_regr.cubist
- Regression Cubist Learner
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mlr_learners_regr.earth
- Implementation of Multivariate Adaptive Regression Splines
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mlr_learners_regr.extratrees
- Regression ExtraTrees Learner
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mlr_learners_regr.fnn
- Regression Fast Nearest Neighbor Search Learner
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mlr_learners_regr.gam
- Regression Generalized Additive Model Learner
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mlr_learners_regr.gamboost
- Boosted Generalized Additive Regression Learner
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mlr_learners_regr.gausspr
- Regression Gaussian Process Learner
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mlr_learners_regr.gbm
- Regression Gradient Boosting Machine Learner
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mlr_learners_regr.glm
- Regression Generalized Linear Model Regression Learner
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mlr_learners_regr.glmboost
- Boosted Generalized Linear Regression Learner
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mlr_learners_regr.ksvm
- Regression Kernlab Support Vector Machine
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mlr_learners_regr.liblinear
- L2-Regularized Support Vector Regression Learner
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mlr_learners_regr.lightgbm
- Regression Light GBM Learner
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mlr_learners_regr.mars
- Regression Mars Learner
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mlr_learners_regr.mob
- Regression Model-based Recursive Partitioning Learner
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mlr_learners_regr.randomForest
- Regression Random Forest Learner
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mlr_learners_regr.rfsrc
- Regression Random Forest SRC Learner
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mlr_learners_regr.rvm
- Regression Relevance Vector Machine Learner
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mlr_learners_surv.akritas
- Survival Akritas Estimator Learner
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mlr_learners_surv.blackboost
- Gradient Boosting with Regression Trees Survival Learner
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mlr_learners_surv.cforest
- Survival Conditional Random Forest Learner
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mlr_learners_surv.coxboost
- Survival Cox Model with Likelihood Based Boosting Learner
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mlr_learners_surv.coxtime
- Survival Cox-Time Learner
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mlr_learners_surv.ctree
- Survival Conditional Inference Tree Learner
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mlr_learners_surv.cv_coxboost
- Survival Cox Model with Cross-Validation Likelihood Based Boosting Learner
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mlr_learners_surv.cv_glmnet
- Cross-Validated GLM with Elastic Net Regularization Survival Learner
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mlr_learners_surv.deephit
- Survival DeepHit Learner
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mlr_learners_surv.deepsurv
- Survival DeepSurv Learner
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mlr_learners_surv.dnnsurv
- Survival DNNSurv Learner
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mlr_learners_surv.flexible
- Survival Flexible Parametric Spline Learner
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mlr_learners_surv.gamboost
- Boosted Generalized Additive Survival Learner
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mlr_learners_surv.gbm
- Survival Gradient Boosting Machine Learner
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mlr_learners_surv.glmboost
- Boosted Generalized Linear Survival Learner
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mlr_learners_surv.glmnet
- GLM with Elastic Net Regularization Survival Learner
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mlr_learners_surv.loghaz
- Survival Logistic-Hazard Learner
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mlr_learners_surv.mboost
- Boosted Generalized Additive Survival Learner
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mlr_learners_surv.nelson
- Survival Nelson-Aalen Estimator Learner
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mlr_learners_surv.obliqueRSF
- Survival Oblique Random Survival Forest Learner
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mlr_learners_surv.parametric
- Survival Fully Parametric Learner
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mlr_learners_surv.pchazard
- Survival PC-Hazard Learner
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mlr_learners_surv.penalized
- Survival L1 and L2 Penalized Regression Learner
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mlr_learners_surv.ranger
- Ranger Survival Learner
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mlr_learners_surv.rfsrc
- Survival Random Forest SRC Learner
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mlr_learners_surv.svm
- Survival Support Vector Machine Learner
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mlr_learners_surv.xgboost
- Extreme Gradient Boosting Survival Learner
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mlr_learners_dens.kde_kd
- Density Kerdiest Kernel Learner
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mlr_learners_dens.kde_ks
- Density KS Kernel Learner
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mlr_learners_dens.locfit
- Density Locfit Learner
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mlr_learners_dens.logspline
- Density Logspline Learner
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mlr_learners_dens.mixed
- Density Mixed Data Kernel Learner
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mlr_learners_dens.nonpar
- Density Nonparametric Learner
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mlr_learners_dens.pen
- Density Penalized Learner
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mlr_learners_dens.plug
- Density Plug-In Kernel Learner
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mlr_learners_dens.spline
- Density Smoothing Splines Learner
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mlr3extralearners-package
- mlr3extralearners: Extra Learners For mlr3