Package: mlr3extralearners 0.9.0
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 |