Package: mlr3extralearners 0.9.0
Sebastian Fischer
mlr3extralearners: Extra Learners For mlr3
Extra learners for use in mlr3.
Authors:
mlr3extralearners_0.9.0.tar.gz
mlr3extralearners_0.9.0.zip(r-4.5)mlr3extralearners_0.9.0.zip(r-4.4)mlr3extralearners_0.9.0.zip(r-4.3)
mlr3extralearners_0.9.0.tgz(r-4.4-any)mlr3extralearners_0.9.0.tgz(r-4.3-any)
mlr3extralearners_0.9.0.tar.gz(r-4.5-noble)mlr3extralearners_0.9.0.tar.gz(r-4.4-noble)
mlr3extralearners_0.9.0.tgz(r-4.4-emscripten)mlr3extralearners_0.9.0.tgz(r-4.3-emscripten)
mlr3extralearners.pdf |mlr3extralearners.html✨
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
Last updated 17 days agofrom:1c297f91b4 (on v0.9.0). Checks:OK: 1 ERROR: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 22 2024 |
| R-4.5-win | ERROR | Aug 22 2024 |
| R-4.5-linux | ERROR | Aug 22 2024 |
| R-4.4-win | ERROR | Aug 22 2024 |
| R-4.4-mac | ERROR | Aug 22 2024 |
| R-4.3-win | ERROR | Aug 22 2024 |
| R-4.3-mac | ERROR | Aug 22 2024 |
Exports:create_learnerinstall_learnersLearnerClassifAbessLearnerClassifAdaBoostM1LearnerClassifBartLearnerClassifBayesNetLearnerClassifC50LearnerClassifCatboostLearnerClassifCForestLearnerClassifCTreeLearnerClassifDecisionStumpLearnerClassifDecisionTableLearnerClassifEarthLearnerClassifFNNLearnerClassifGamLearnerClassifGAMBoostLearnerClassifGaussprLearnerClassifGBMLearnerClassifGLMBoostLearnerClassifGlmerLearnerClassifIBkLearnerClassifImbalancedRandomForestSRCLearnerClassifJ48LearnerClassifJRipLearnerClassifKStarLearnerClassifKSVMLearnerClassifLiblineaRLearnerClassifLightGBMLearnerClassifLMTLearnerClassifLogisticLearnerClassifLSSVMLearnerClassifMobLearnerClassifMultilayerPerceptronLearnerClassifNaiveBayesMultinomialLearnerClassifNaiveBayesWekaLearnerClassifOneRLearnerClassifPARTLearnerClassifPriorityLassoLearnerClassifRandomForestLearnerClassifRandomForestSRCLearnerClassifRandomForestWekaLearnerClassifRandomPlantedForestLearnerClassifRandomTreeLearnerClassifREPTreeLearnerClassifSGDLearnerClassifSimpleLogisticLearnerClassifSMOLearnerClassifVotedPerceptronLearnerDensKDEksLearnerDensLocfitLearnerDensLogsplineLearnerDensMixedLearnerDensNonparametricLearnerDensPenalizedLearnerDensPluginLearnerDensSplineLearnerRegrAbessLearnerRegrBartLearnerRegrCatboostLearnerRegrCForestLearnerRegrCTreeLearnerRegrCubistLearnerRegrDecisionStumpLearnerRegrDecisionTableLearnerRegrEarthLearnerRegrFNNLearnerRegrGamLearnerRegrGAMBoostLearnerRegrGaussianProcessesLearnerRegrGaussprLearnerRegrGBMLearnerRegrGlmLearnerRegrGLMBoostLearnerRegrIBkLearnerRegrKStarLearnerRegrKSVMLearnerRegrLiblineaRLearnerRegrLightGBMLearnerRegrLinearRegressionLearnerRegrLmerLearnerRegrM5PLearnerRegrM5RulesLearnerRegrMarsLearnerRegrMobLearnerRegrMultilayerPerceptronLearnerRegrPriorityLassoLearnerRegrRandomForestLearnerRegrRandomForestSRCLearnerRegrRandomForestWekaLearnerRegrRandomPlantedForestLearnerRegrRandomTreeLearnerRegrREPTreeLearnerRegrRSMLearnerRegrRVMLearnerRegrSGDLearnerRegrSimpleLinearRegressionLearnerRegrSMOregLearnerSurvAkritasLearnerSurvAorsfLearnerSurvBlackBoostLearnerSurvCForestLearnerSurvCoxboostLearnerSurvCoxtimeLearnerSurvCTreeLearnerSurvCVCoxboostLearnerSurvCVGlmnetLearnerSurvDeephitLearnerSurvDeepsurvLearnerSurvDNNSurvLearnerSurvFlexibleLearnerSurvGAMBoostLearnerSurvGBMLearnerSurvGLMBoostLearnerSurvGlmnetLearnerSurvLearnerSurvBARTLearnerSurvLogisticHazardLearnerSurvMBoostLearnerSurvNelsonLearnerSurvParametricLearnerSurvPCHazardLearnerSurvPenalizedLearnerSurvPriorityLassoLearnerSurvRandomForestSRCLearnerSurvRangerLearnerSurvSVMLearnerSurvXgboostAFTLearnerSurvXgboostCoxlist_mlr3learnerslrnlrns
Dependencies:backportscheckmatecodetoolsdata.tabledigestevaluatefuturefuture.applyglobalslgrlistenvmlbenchmlr3mlr3measuresmlr3miscpalmerpenguinsparadoxparallellyPRROCR6uuid
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| mlr3extralearners: Extra Learners For mlr3 | mlr3extralearners-package mlr3extralearners |
| Create a New Learner | create_learner |
| Install Learner Dependencies | install_learners |
| List Learners in mlr3verse | list_mlr3learners |
| Classification Abess Learner | LearnerClassifAbess mlr_learners_classif.abess |
| Classification AdaBoostM1 Learner | LearnerClassifAdaBoostM1 mlr_learners_classif.AdaBoostM1 |
| Classification BART (Bayesian Additive Regression Trees) Learner | LearnerClassifBart mlr_learners_classif.bart |
| Classification Bayes Network Learner | LearnerClassifBayesNet mlr_learners_classif.bayes_net |
| 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 |
| Classification Decision Stump Learner | LearnerClassifDecisionStump mlr_learners_classif.decision_stump |
| Classification Decision Table Learner | LearnerClassifDecisionTable mlr_learners_classif.decision_table |
| Classification MARS (Multivariate Adaptive Regression Splines) Learner | LearnerClassifEarth mlr_learners_classif.earth |
| 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 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 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 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 OneR Learner | LearnerClassifOneR mlr_learners_classif.OneR |
| Classification PART Learner | LearnerClassifPART mlr_learners_classif.PART |
| 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 Decision Tree Learner | LearnerClassifREPTree mlr_learners_classif.reptree |
| Classification Random Forest SRC Learner | LearnerClassifRandomForestSRC mlr_learners_classif.rfsrc |
| Classification Random Planted Forest Learner | LearnerClassifRandomPlantedForest mlr_learners_classif.rpf |
| 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 |
| Classification Voted Perceptron Learner | LearnerClassifVotedPerceptron mlr_learners_classif.voted_perceptron |
| Density KS Kernel Learner | LearnerDensKDEks mlr_learners_dens.kde_ks |
| Density Locfit Learner | LearnerDensLocfit mlr_learners_dens.locfit |
| Density Logspline Learner | LearnerDensLogspline mlr_learners_dens.logspline |
| Density Mixed Data Kernel Learner | LearnerDensMixed mlr_learners_dens.mixed |
| Density Nonparametric Learner | LearnerDensNonparametric mlr_learners_dens.nonpar |
| Density Penalized Learner | LearnerDensPenalized mlr_learners_dens.pen |
| Density Plug-In Kernel Learner | LearnerDensPlugin mlr_learners_dens.plug |
| Density Smoothing Splines Learner | LearnerDensSpline mlr_learners_dens.spline |
| Regression Abess Learner | LearnerRegrAbess mlr_learners_regr.abess |
| Regression BART (Bayesian Additive Regression Trees) Learner | LearnerRegrBart mlr_learners_regr.bart |
| Gradient Boosted Decision Trees Regression Learner | LearnerRegrCatboost mlr_learners_regr.catboost |
| Regression Conditional Random Forest Learner | LearnerRegrCForest mlr_learners_regr.cforest |
| Regression Conditional Inference Tree Learner | LearnerRegrCTree mlr_learners_regr.ctree |
| Regression Cubist Learner | LearnerRegrCubist mlr_learners_regr.cubist |
| 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 Fast Nearest Neighbor Search Learner | LearnerRegrFNN mlr_learners_regr.fnn |
| 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 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 |
| 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 |
| Regression MultilayerPerceptron Learner | LearnerRegrMultilayerPerceptron mlr_learners_regr.multilayer_perceptron |
| Regression Priority Lasso Learner | LearnerRegrPriorityLasso mlr_learners_regr.priority_lasso |
| 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 Random Planted Forest Learner | LearnerRegrRandomPlantedForest mlr_learners_regr.rpf |
| 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 |
| Survival Akritas Estimator Learner | LearnerSurvAkritas mlr_learners_surv.akritas |
| 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 |
| Survival Conditional Random Forest Learner | LearnerSurvCForest mlr_learners_surv.cforest |
| Survival Cox Model with Likelihood Based Boosting Learner | LearnerSurvCoxboost mlr_learners_surv.coxboost |
| Survival Cox-Time Learner | LearnerSurvCoxtime mlr_learners_surv.coxtime |
| 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 |
| Survival DeepHit Learner | LearnerSurvDeephit mlr_learners_surv.deephit |
| Survival DeepSurv Learner | LearnerSurvDeepsurv mlr_learners_surv.deepsurv |
| Survival DNNSurv Learner | LearnerSurvDNNSurv mlr_learners_surv.dnnsurv |
| Survival Flexible Parametric Spline Learner | LearnerSurvFlexible mlr_learners_surv.flexible |
| 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 |
| Survival Logistic-Hazard Learner | LearnerSurvLogisticHazard mlr_learners_surv.loghaz |
| Boosted Generalized Additive Survival Learner | LearnerSurvMBoost mlr_learners_surv.mboost |
| Survival Nelson-Aalen Estimator Learner | LearnerSurvNelson mlr_learners_surv.nelson |
| Survival Fully Parametric Learner | LearnerSurvParametric mlr_learners_surv.parametric |
| Survival PC-Hazard Learner | LearnerSurvPCHazard mlr_learners_surv.pchazard |
| Survival L1 and L2 Penalized Regression 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 |
| 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 |
