Package: mlr3extralearners 1.5.2
mlr3extralearners: Extra Learners For mlr3
Extra learners for use in mlr3.
Authors:
mlr3extralearners_1.5.2.tar.gz
mlr3extralearners_1.5.2.zip(r-4.7)mlr3extralearners_1.5.2.zip(r-4.6)mlr3extralearners_1.5.2.zip(r-4.5)
mlr3extralearners_1.5.2.tgz(r-4.6-any)mlr3extralearners_1.5.2.tgz(r-4.5-any)
mlr3extralearners_1.5.2.tar.gz(r-4.7-any)mlr3extralearners_1.5.2.tar.gz(r-4.6-any)
mlr3extralearners_1.5.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mlr3extralearners/json (API)
NEWS
| # Install 'mlr3extralearners' in R: |
| install.packages('mlr3extralearners', repos = c('https://mlr-org.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mlr-org/mlr3extralearners/issues
Pkgdown/docs site:https://mlr3extralearners.mlr-org.com
Last updated from:ad16c88219 (on v1.5.2). Checks:7 ERROR, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | ERROR | 2193 | ||
| source / vignettes | OK | 524 | ||
| linux-release-x86_64 | ERROR | 2078 | ||
| macos-release-arm64 | ERROR | 1289 | ||
| macos-oldrel-arm64 | ERROR | 1195 | ||
| windows-devel | ERROR | 1953 | ||
| windows-release | ERROR | 2134 | ||
| windows-oldrel | ERROR | 1930 | ||
| wasm-release | OK | 321 |
Exports:install_learnerslearner_is_runnableLearnerClassifAbessLearnerClassifAdabagLearnerClassifAdaBoostingLearnerClassifAdaBoostM1LearnerClassifBartLearnerClassifBayesNetLearnerClassifBlockForestLearnerClassifBstLearnerClassifC50LearnerClassifCatboostLearnerClassifCForestLearnerClassifCTreeLearnerClassifDbnDNNLearnerClassifDecisionStumpLearnerClassifDecisionTableLearnerClassifDiagLdaLearnerClassifEarthLearnerClassifEvtreeLearnerClassifExhaustiveSearchLearnerClassifFastaiLearnerClassifFNNLearnerClassifGamLearnerClassifGAMBoostLearnerClassifGaussprLearnerClassifGBMLearnerClassifGLMBoostLearnerClassifGlmerLearnerClassifH2ODeeplearningLearnerClassifH2OGBMLearnerClassifH2OGLMLearnerClassifH2ORandomForestLearnerClassifIBkLearnerClassifImbalancedRandomForestSRCLearnerClassifJ48LearnerClassifJRipLearnerClassifKnnLearnerClassifKStarLearnerClassifKSVMLearnerClassifLiblineaRLearnerClassifLightGBMLearnerClassifLMTLearnerClassifLogisticLearnerClassifLSSVMLearnerClassifLvq1LearnerClassifMdaLearnerClassifMdebLearnerClassifMLPLearnerClassifMobLearnerClassifMultilayerPerceptronLearnerClassifNaiveBayesMultinomialLearnerClassifNaiveBayesWekaLearnerClassifNCVregLearnerClassifNeuralnetLearnerClassifNNTrainLearnerClassifObliqueRandomForestLearnerClassifOneRLearnerClassifPARTLearnerClassifPenalizedLearnerClassifPlsdaCaretLearnerClassifPolyFitLearnerClassifPriorityLassoLearnerClassifRandomForestLearnerClassifRandomForestSRCLearnerClassifRandomForestWekaLearnerClassifRandomTreeLearnerClassifRdaLearnerClassifREPTreeLearnerClassifRfernsLearnerClassifRotationForestLearnerClassifSaeDNNLearnerClassifSdaLearnerClassifSdldaLearnerClassifSGDLearnerClassifSimpleLogisticLearnerClassifSMOLearnerClassifSparseLDALearnerClassifStepPlrLearnerClassifTabPFNLearnerClassifVotedPerceptronLearnerCompRisksCoxboostLearnerCompRisksRandomForestSRCLearnerRegrAbessLearnerRegrBartLearnerRegrBcartLearnerRegrBgpLearnerRegrBgpllmLearnerRegrBlmLearnerRegrBlockForestLearnerRegrBotorchFullyBayesianLearnerRegrBotorchMixedSingleTaskGPLearnerRegrBotorchSingleTaskGPLearnerRegrBrnnLearnerRegrBstLearnerRegrBtgpLearnerRegrBtgpllmLearnerRegrBtlmLearnerRegrCatboostLearnerRegrCForestLearnerRegrCrsLearnerRegrCTreeLearnerRegrCubistLearnerRegrDecisionStumpLearnerRegrDecisionTableLearnerRegrEarthLearnerRegrEvtreeLearnerRegrExhaustiveSearchLearnerRegrFNNLearnerRegrFrbsLearnerRegrGamLearnerRegrGAMBoostLearnerRegrGaussianProcessesLearnerRegrGaussprLearnerRegrGBMLearnerRegrGlmLearnerRegrGLMBoostLearnerRegrGPfitLearnerRegrH2ODeeplearningLearnerRegrH2OGBMLearnerRegrH2OGLMLearnerRegrH2ORandomForestLearnerRegrIBkLearnerRegrKStarLearnerRegrKSVMLearnerRegrLaGPLearnerRegrLiblineaRLearnerRegrLightGBMLearnerRegrLinearRegressionLearnerRegrLmerLearnerRegrM5PLearnerRegrM5RulesLearnerRegrMarsLearnerRegrMobLearnerRegrMQGamLearnerRegrMultilayerPerceptronLearnerRegrNCVregLearnerRegrObliqueRandomForestLearnerRegrPcrLearnerRegrPenalizedLearnerRegrPlsrLearnerRegrPolyLearnerRegrPriorityLassoLearnerRegrQGamLearnerRegrRandomForestLearnerRegrRandomForestSRCLearnerRegrRandomForestWekaLearnerRegrRandomTreeLearnerRegrREPTreeLearnerRegrRRFLearnerRegrRSMLearnerRegrRVMLearnerRegrSGDLearnerRegrSimpleLinearRegressionLearnerRegrSMOregLearnerRegrTabPFNLearnerSurvAorsfLearnerSurvBlackBoostLearnerSurvBlockForestLearnerSurvCForestLearnerSurvCoxboostLearnerSurvCTreeLearnerSurvCVCoxboostLearnerSurvCVGlmnetLearnerSurvDNNLearnerSurvFlexRegLearnerSurvFlexSplineLearnerSurvGAMBoostLearnerSurvGamCoxLearnerSurvGBMLearnerSurvGLMBoostLearnerSurvGlmnetLearnerSurvLearnerSurvBARTLearnerSurvMBoostLearnerSurvNCVsurvLearnerSurvNelsonLearnerSurvPenalizedLearnerSurvPriorityLassoLearnerSurvRandomForestSRCLearnerSurvRangerLearnerSurvSVMLearnerSurvXgboostAFTLearnerSurvXgboostCoxlist_mlr3learners
Dependencies:backportsbase64encbslibcachemcheckmatecliclustercmprskcodetoolscolorspacecpp11data.tablediagramdictionar6digestdistr6doParallelevaluatefarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applyggplot2glmnetglobalsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalgrlifecyclelistenvmagrittrMASSMatrixMatrixModelsmemoisemetsmimemiraimlbenchmlr3mlr3cmprskmlr3measuresmlr3miscmlr3pipelinesmlr3probamultcompmvtnormnanonextnlmennetnumDerivooplahpalmerpenguinsparadoxparallellyparam6plotrixpolsplineprodlimprogressrPRROCPublishquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenriskRegressionrlangrmarkdownrmsrpartrstudioapiS7sandwichsassscalesset6shapeSparseMSQUAREMstringistringrsurvdistrsurvivalTH.datatimeregtinytexuuidvctrsviridisLitewithrxfunyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| mlr3extralearners: Extra Learners For mlr3 | mlr3extralearners-package mlr3extralearners |
| Assert Python Packages | assert_python_packages |
| Install Learner Dependencies | install_learners |
| List Learners in mlr3verse | list_mlr3learners |
| Classification Abess Learner | LearnerClassifAbess mlr_learners_classif.abess |
| Classification Boosting Learner | LearnerClassifAdaBoosting mlr_learners_classif.ada |
| Classification Boosting Learner | LearnerClassifAdabag mlr_learners_classif.adabag |
| Classification AdaBoostM1 Learner | LearnerClassifAdaBoostM1 mlr_learners_classif.AdaBoostM1 |
| Oblique Random Forest Classifier | LearnerClassifObliqueRandomForest mlr_learners_classif.aorsf |
| Classification BART (Bayesian Additive Regression Trees) Learner | LearnerClassifBart mlr_learners_classif.bart |
| Classification Bayes Network Learner | LearnerClassifBayesNet mlr_learners_classif.bayes_net |
| BlockForest Classification Learner | LearnerClassifBlockForest mlr_learners_classif.blockforest |
| Classification Gradient Boosting Learner | LearnerClassifBst mlr_learners_classif.bst |
| Classification C5.0 Learner | LearnerClassifC50 mlr_learners_classif.C50 |
| Gradient Boosted Decision Trees Classification Learner | LearnerClassifCatboost mlr_learners_classif.catboost |
| Classification Conditional Random Forest Learner | LearnerClassifCForest mlr_learners_classif.cforest |
| Classification Conditional Inference Tree Learner | LearnerClassifCTree mlr_learners_classif.ctree |
| Cross-Validated MCP- or SCAD-penalized Classification Learner | LearnerClassifNCVreg mlr_learners_classif.cv_ncvreg |
| Deep Neural Network with DBN Pretraining Learner | LearnerClassifDbnDNN mlr_learners_classif.dbnDNN |
| Classification Decision Stump Learner | LearnerClassifDecisionStump mlr_learners_classif.decision_stump |
| Classification Decision Table Learner | LearnerClassifDecisionTable mlr_learners_classif.decision_table |
| Classification Diagonal Linear Discriminant Analysis Learner | LearnerClassifDiagLda mlr_learners_classif.dlda |
| Classification MARS (Multivariate Adaptive Regression Splines) Learner | LearnerClassifEarth mlr_learners_classif.earth |
| Classification Decision Tree Learner | LearnerClassifEvtree mlr_learners_classif.evtree |
| Logistic Regression with Exhaustive Search | LearnerClassifExhaustiveSearch mlr_learners_classif.exhaustive_search |
| Classification Neural Network Learner | LearnerClassifFastai mlr_learners_classif.fastai |
| Fast Nearest Neighbour Classification | LearnerClassifFNN mlr_learners_classif.fnn |
| Classification Generalized Additive Model Learner | LearnerClassifGam mlr_learners_classif.gam |
| Boosted Generalized Additive Classification Learner | LearnerClassifGAMBoost mlr_learners_classif.gamboost |
| Classification Gaussian Process Learner | LearnerClassifGausspr mlr_learners_classif.gausspr |
| Gradient Boosting Classification Learner | LearnerClassifGBM mlr_learners_classif.gbm |
| Boosted Generalized Linear Classification Learner | LearnerClassifGLMBoost mlr_learners_classif.glmboost |
| Classification Linear Mixed Effect Learner | LearnerClassifGlmer mlr_learners_classif.glmer |
| Classification H2O Deep Learning Learner | LearnerClassifH2ODeeplearning mlr_learners_classif.h2o.deeplearning |
| Classification H2O GBM Learner | LearnerClassifH2OGBM mlr_learners_classif.h2o.gbm |
| Classification H2O GLM Learner | LearnerClassifH2OGLM mlr_learners_classif.h2o.glm |
| Classification H2O Random Forest Learner | LearnerClassifH2ORandomForest mlr_learners_classif.h2o.randomForest |
| Classification IBk Learner | LearnerClassifIBk mlr_learners_classif.IBk |
| Classification Imbalanced Random Forest Src Learner | LearnerClassifImbalancedRandomForestSRC mlr_learners_classif.imbalanced_rfsrc |
| Classification J48 Learner | LearnerClassifJ48 mlr_learners_classif.J48 |
| Classification JRip Learner | LearnerClassifJRip mlr_learners_classif.JRip |
| Classification K-nearest Neighbour Learner | LearnerClassifKnn mlr_learners_classif.knn |
| Classification KStar Learner | LearnerClassifKStar mlr_learners_classif.kstar |
| Classification Kernlab Support Vector Machine | LearnerClassifKSVM mlr_learners_classif.ksvm |
| LiblineaR Classification Learner | LearnerClassifLiblineaR mlr_learners_classif.liblinear |
| Classification LightGBM Learner | LearnerClassifLightGBM mlr_learners_classif.lightgbm |
| Classification Logistic Model Trees Learner | LearnerClassifLMT mlr_learners_classif.LMT |
| Classification Logistic Regression Learner | LearnerClassifLogistic mlr_learners_classif.logistic |
| Classification Least Squares Support Vector Machine Learner | LearnerClassifLSSVM mlr_learners_classif.lssvm |
| Classification Learning Vector Quantization 1 | LearnerClassifLvq1 mlr_learners_classif.lvq1 |
| Classification Discriminant Analysis Learner | LearnerClassifMda mlr_learners_classif.mda |
| Classification Linear Discriminant Analysis Learner | LearnerClassifMdeb mlr_learners_classif.mdeb |
| Classification Multilayer Perceptron Learner | LearnerClassifMLP mlr_learners_classif.mlp |
| Classification Model-based Recursive Partitioning Learner | LearnerClassifMob mlr_learners_classif.mob |
| Classification MultilayerPerceptron Learner | LearnerClassifMultilayerPerceptron mlr_learners_classif.multilayer_perceptron |
| Classification Multinomial Naive Bayes Learner From Weka | LearnerClassifNaiveBayesMultinomial mlr_learners_classif.naive_bayes_multinomial |
| Classification Naive Bayes Learner From Weka | LearnerClassifNaiveBayesWeka mlr_learners_classif.naive_bayes_weka |
| Classification Neural Network Learner | LearnerClassifNeuralnet mlr_learners_classif.neuralnet |
| Classification Neural Network Learner | LearnerClassifNNTrain mlr_learners_classif.nnTrain |
| Classification OneR Learner | LearnerClassifOneR mlr_learners_classif.OneR |
| Classification PART Learner | LearnerClassifPART mlr_learners_classif.PART |
| Classification L1 and L2 Penalized Learner | LearnerClassifPenalized mlr_learners_classif.penalized |
| Partial Least Squares Discriminant Analysis Learner | LearnerClassifPlsdaCaret mlr_learners_classif.plsdaCaret |
| Polynomial GLM Learner | LearnerClassifPolyFit mlr_learners_classif.polyFit |
| Classification Priority Lasso Learner | LearnerClassifPriorityLasso mlr_learners_classif.priority_lasso |
| Classification Random Forest Learner from Weka | LearnerClassifRandomForestWeka mlr_learners_classif.random_forest_weka |
| Classification Random Tree Learner | LearnerClassifRandomTree mlr_learners_classif.random_tree |
| Classification Random Forest Learner | LearnerClassifRandomForest mlr_learners_classif.randomForest |
| Classification Discriminant Analysis Learner | LearnerClassifRda mlr_learners_classif.rda |
| Classification Decision Tree Learner | LearnerClassifREPTree mlr_learners_classif.reptree |
| Random Ferns Classification Learner | LearnerClassifRferns mlr_learners_classif.rFerns |
| Classification Random Forest SRC Learner | LearnerClassifRandomForestSRC mlr_learners_classif.rfsrc |
| Classification Rotation Forest Learner | LearnerClassifRotationForest mlr_learners_classif.rotationForest |
| Classification Stacked Autoencoder Deep Neural Network Learner | LearnerClassifSaeDNN mlr_learners_classif.saeDNN |
| Shrinkage Discriminant Analysis | LearnerClassifSda mlr_learners_classif.sda |
| Classification Linear Discriminant Analysis Learner | LearnerClassifSdlda mlr_learners_classif.sdlda |
| Classification Stochastic Gradient Descent Learner | LearnerClassifSGD mlr_learners_classif.sgd |
| Classification SimpleLogistic Learner | LearnerClassifSimpleLogistic mlr_learners_classif.simple_logistic |
| Classification Support Vector Machine Learner | LearnerClassifSMO mlr_learners_classif.smo |
| Sparse Discriminant Analysis | LearnerClassifSparseLDA mlr_learners_classif.sparseLDA |
| Classification Logistic Regression Learner | LearnerClassifStepPlr mlr_learners_classif.stepPlr |
| TabPFN Classification Learner | LearnerClassifTabPFN mlr_learners_classif.tabpfn |
| Classification Voted Perceptron Learner | LearnerClassifVotedPerceptron mlr_learners_classif.voted_perceptron |
| Competing Risks Cox Learner with Likelihood Based Boosting | LearnerCompRisksCoxboost mlr_learners_cmprsk.coxboost |
| Random Forest Competing Risks Learner | LearnerCompRisksRandomForestSRC mlr_learners_cmprsk.rfsrc |
| Regression Abess Learner | LearnerRegrAbess mlr_learners_regr.abess |
| Oblique Random Forest Regressor | LearnerRegrObliqueRandomForest mlr_learners_regr.aorsf |
| Regression BART (Bayesian Additive Regression Trees) Learner | LearnerRegrBart mlr_learners_regr.bart |
| Regression Bayesian CART Learner | LearnerRegrBcart mlr_learners_regr.bcart |
| Regression Bayesian Gaussian Process Learner | LearnerRegrBgp mlr_learners_regr.bgp |
| Regression Bayesian Gaussian Process LLM Learner | LearnerRegrBgpllm mlr_learners_regr.bgpllm |
| Regression Bayesian Linear Model Learner | LearnerRegrBlm mlr_learners_regr.blm |
| BlockForest Regression Learner | LearnerRegrBlockForest mlr_learners_regr.blockforest |
| BoTorch Fully Bayesian SingleTaskGP Regression Learner | LearnerRegrBotorchFullyBayesian mlr_learners_regr.botorch_fullybayesian |
| BoTorch MixedSingleTaskGP Regression Learner | LearnerRegrBotorchMixedSingleTaskGP mlr_learners_regr.botorch_mixedsingletaskgp |
| BoTorch SingleTaskGP Regression Learner | LearnerRegrBotorchSingleTaskGP mlr_learners_regr.botorch_singletaskgp |
| Regression Neural Network Learner | LearnerRegrBrnn mlr_learners_regr.brnn |
| Regression Gradient Boosting Learner | LearnerRegrBst mlr_learners_regr.bst |
| Regression Bayesian Treed Gaussian Process Learner | LearnerRegrBtgp mlr_learners_regr.btgp |
| Regression Bayesian Treed Gaussian Process LLM Learner | LearnerRegrBtgpllm mlr_learners_regr.btgpllm |
| Regression Bayesian Treed Linear Model Learner | LearnerRegrBtlm mlr_learners_regr.btlm |
| Gradient Boosted Decision Trees Regression Learner | LearnerRegrCatboost mlr_learners_regr.catboost |
| Regression Conditional Random Forest Learner | LearnerRegrCForest mlr_learners_regr.cforest |
| Regression Splines Learner | LearnerRegrCrs mlr_learners_regr.crs |
| Regression Conditional Inference Tree Learner | LearnerRegrCTree mlr_learners_regr.ctree |
| Regression Cubist Learner | LearnerRegrCubist mlr_learners_regr.cubist |
| Cross-Validated MCP- or SCAD-penalized Regression Learner | LearnerRegrNCVreg mlr_learners_regr.cv_ncvreg |
| Regression Decision Stump Learner | LearnerRegrDecisionStump mlr_learners_regr.decision_stump |
| Regression Decision Table Learner | LearnerRegrDecisionTable mlr_learners_regr.decision_table |
| Implementation of Multivariate Adaptive Regression Splines | LearnerRegrEarth mlr_learners_regr.earth |
| Regression Decision Tree Learner | LearnerRegrEvtree mlr_learners_regr.evtree |
| Linear Regression with Exhaustive Search | LearnerRegrExhaustiveSearch mlr_learners_regr.exhaustive_search |
| Regression Fast Nearest Neighbor Search Learner | LearnerRegrFNN mlr_learners_regr.fnn |
| Regression Fuzzy Rule-based System Learner | LearnerRegrFrbs mlr_learners_regr.frbs |
| Regression Generalized Additive Model Learner | LearnerRegrGam mlr_learners_regr.gam |
| Boosted Generalized Additive Regression Learner | LearnerRegrGAMBoost mlr_learners_regr.gamboost |
| Regression Gaussian Processes Learner From Weka | LearnerRegrGaussianProcesses mlr_learners_regr.gaussian_processes |
| Regression Gaussian Process Learner | LearnerRegrGausspr mlr_learners_regr.gausspr |
| Regression Gradient Boosting Machine Learner | LearnerRegrGBM mlr_learners_regr.gbm |
| Generalized Linear Regression | LearnerRegrGlm mlr_learners_regr.glm |
| Boosted Generalized Linear Regression Learner | LearnerRegrGLMBoost mlr_learners_regr.glmboost |
| Regression Gaussian Process Learner (GPfit) | LearnerRegrGPfit mlr_learners_regr.gpfit |
| Regression H2O Deep Learning Learner | LearnerRegrH2ODeeplearning mlr_learners_regr.h2o.deeplearning |
| Regression H2O GBM Learner | LearnerRegrH2OGBM mlr_learners_regr.h2o.gbm |
| Generalized Linear Regression H2O Learner | LearnerRegrH2OGLM mlr_learners_regr.h2o.glm |
| Regression H2O Random Forest Learner | LearnerRegrH2ORandomForest mlr_learners_regr.h2o.randomForest |
| Regression IBk Learner | LearnerRegrIBk mlr_learners_regr.IBk |
| Regression KStar Learner | LearnerRegrKStar mlr_learners_regr.kstar |
| Regression Kernlab Support Vector Machine | LearnerRegrKSVM mlr_learners_regr.ksvm |
| Regression Local Approximate Gaussian Process Learner | LearnerRegrLaGP mlr_learners_regr.laGP |
| L2-Regularized Support Vector Regression Learner | LearnerRegrLiblineaR mlr_learners_regr.liblinear |
| Regression LightGBM Learner | LearnerRegrLightGBM mlr_learners_regr.lightgbm |
| Regression Linear Regression Learner From Weka | LearnerRegrLinearRegression mlr_learners_regr.linear_regression |
| Regression Linear Mixed Effects Learner | LearnerRegrLmer mlr_learners_regr.lmer |
| Regression M5P Learner | LearnerRegrM5P mlr_learners_regr.m5p |
| Regression M5Rules Learner | LearnerRegrM5Rules mlr_learners_regr.M5Rules |
| Regression Mars Learner | LearnerRegrMars mlr_learners_regr.mars |
| Regression Model-based Recursive Partitioning Learner | LearnerRegrMob mlr_learners_regr.mob |
| Generalized Additive Quantile Regression Model for Multiple Quantiles | LearnerRegrMQGam mlr_learners_regr.mqgam |
| Regression MultilayerPerceptron Learner | LearnerRegrMultilayerPerceptron mlr_learners_regr.multilayer_perceptron |
| Principal Component Regression Learner | LearnerRegrPcr mlr_learners_regr.pcr |
| Regression L1 and L2 Penalized Learner | LearnerRegrPenalized mlr_learners_regr.penalized |
| Partial Least Squares Regression | LearnerRegrPlsr mlr_learners_regr.plsr |
| Polynomial Regression Learner | LearnerRegrPoly mlr_learners_regr.polyFit |
| Regression Priority Lasso Learner | LearnerRegrPriorityLasso mlr_learners_regr.priority_lasso |
| Generalized Additive Quantile Regression Model | LearnerRegrQGam mlr_learners_regr.qgam |
| Regression Random Forest Learner from Weka | LearnerRegrRandomForestWeka mlr_learners_regr.random_forest_weka |
| Regression Random Tree Learner | LearnerRegrRandomTree mlr_learners_regr.random_tree |
| Regression Random Forest Learner | LearnerRegrRandomForest mlr_learners_regr.randomForest |
| Regression Decision Tree Learner | LearnerRegrREPTree mlr_learners_regr.reptree |
| Regression Random Forest SRC Learner | LearnerRegrRandomForestSRC mlr_learners_regr.rfsrc |
| Regression Regularized Random Forest Learner | LearnerRegrRRF mlr_learners_regr.RRF |
| Regression Response Surface Model Learner | LearnerRegrRSM mlr_learners_regr.rsm |
| Regression Relevance Vector Machine Learner | LearnerRegrRVM mlr_learners_regr.rvm |
| Regression Stochastic Gradient Descent Learner | LearnerRegrSGD mlr_learners_regr.sgd |
| Regression SimpleLinearRegression Learner from Weka | LearnerRegrSimpleLinearRegression mlr_learners_regr.simple_linear_regression |
| Regression Support Vector Machine Learner | LearnerRegrSMOreg mlr_learners_regr.smo_reg |
| TabPFN Regression Learner | LearnerRegrTabPFN mlr_learners_regr.tabpfn |
| Accelerated Oblique Random Survival Forest Learner | LearnerSurvAorsf mlr_learners_surv.aorsf |
| Survival Bayesian Additive Regression Trees Learner | LearnerSurvLearnerSurvBART mlr_learners_surv.bart |
| Gradient Boosting with Regression Trees Survival Learner | LearnerSurvBlackBoost mlr_learners_surv.blackboost |
| BlockForest Survival Learner | LearnerSurvBlockForest mlr_learners_surv.blockforest |
| Survival Conditional Random Forest Learner | LearnerSurvCForest mlr_learners_surv.cforest |
| Survival Cox Model with Likelihood Based Boosting Learner | LearnerSurvCoxboost mlr_learners_surv.coxboost |
| Survival Conditional Inference Tree Learner | LearnerSurvCTree mlr_learners_surv.ctree |
| Survival Cox Model with Cross-Validation Likelihood Based Boosting Learner | LearnerSurvCVCoxboost mlr_learners_surv.cv_coxboost |
| Cross-Validated GLM with Elastic Net Regularization Survival Learner | LearnerSurvCVGlmnet mlr_learners_surv.cv_glmnet |
| Cross-Validated MCP- or SCAD-penalized Survival Learner | LearnerSurvNCVsurv mlr_learners_surv.cv_ncvsurv |
| Survival Flexible Parametric Learner | LearnerSurvFlexReg mlr_learners_surv.flexreg |
| Survival Flexible Parametric Spline Learner | LearnerSurvFlexSpline mlr_learners_surv.flexspline |
| Cox Proportional Hazards Generalized Additive Learner | LearnerSurvGamCox mlr_learners_surv.gam.cox |
| Boosted Generalized Additive Survival Learner | LearnerSurvGAMBoost mlr_learners_surv.gamboost |
| Survival Gradient Boosting Machine Learner | LearnerSurvGBM mlr_learners_surv.gbm |
| Boosted Generalized Linear Survival Learner | LearnerSurvGLMBoost mlr_learners_surv.glmboost |
| GLM with Elastic Net Regularization Survival Learner | LearnerSurvGlmnet mlr_learners_surv.glmnet |
| Boosted Generalized Additive Survival Learner | LearnerSurvMBoost mlr_learners_surv.mboost |
| Survival Nelson-Aalen Estimator Learner | LearnerSurvNelson mlr_learners_surv.nelson |
| Survival L1 and L2 Penalized Cox Learner | LearnerSurvPenalized mlr_learners_surv.penalized |
| Survival Priority Lasso Learner | LearnerSurvPriorityLasso mlr_learners_surv.priority_lasso |
| Ranger Survival Learner | LearnerSurvRanger mlr_learners_surv.ranger |
| Survival Random Forest SRC Learner | LearnerSurvRandomForestSRC mlr_learners_surv.rfsrc |
| SurvDNN Survival Learner | LearnerSurvDNN mlr_learners_surv.survdnn |
| Survival Support Vector Machine Learner | LearnerSurvSVM mlr_learners_surv.svm |
| Extreme Gradient Boosting AFT Survival Learner | LearnerSurvXgboostAFT mlr_learners_surv.xgboost.aft |
| Extreme Gradient Boosting Cox Survival Learner | LearnerSurvXgboostCox mlr_learners_surv.xgboost.cox |
