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mlrMBO
View on CRAN: Click
here
Download and install mlrMBO package within the R console
Install from CRAN:
install.packages("mlrMBO")
Install from Github:
library("remotes")
install_github("cran/mlrMBO") Install by package version:
library("remotes")
install_version("mlrMBO", "1.1.5.1") Attach the package and use:
library("mlrMBO")
Maintained by
Jakob Richter
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-03-12
Latest Update: 2022-07-04
Description:
Flexible and comprehensive R toolbox for model-based optimization
('MBO'), also known as Bayesian optimization. It implements the Efficient
Global Optimization Algorithm and is designed for both single- and multi-
objective optimization with mixed continuous, categorical and conditional
parameters. The machine learning toolbox 'mlr' provide dozens of regression
learners to model the performance of the target algorithm with respect to
the parameter settings. It provides many different infill criteria to guide
the search process. Additional features include multi-point batch proposal,
parallel execution as well as visualization and sophisticated logging
mechanisms, which is especially useful for teaching and understanding of
algorithm behavior. 'mlrMBO' is implemented in a modular fashion, such that
single components can be easily replaced or adapted by the user for specific
use cases.
How to cite:
Jakob Richter (2017). mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions. R package version 1.1.5.1, https://cran.r-project.org/web/packages/mlrMBO. Accessed 05 Mar. 2026.
Previous versions and publish date:
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Other R packages that mlrMBO depends,
imports, suggests or enhances
Complete documentation for mlrMBO
Functions, R codes and Examples using
the mlrMBO R package
Some associated functions: MBOInfillCrit . MBOMultiObjResult . MBOSingleObjResult . OptProblem . OptResult . OptState . error_handling . exampleRun . exampleRunMultiObj . finalizeSMBO . getGlobalOpt . getMBOInfillCrit . getSupportedInfillOptFunctions . getSupportedMultipointInfillOptFunctions . infillcrits . initCrit . initSMBO . makeMBOControl . makeMBOLearner . makeMBOTrafoFunction . mbo . mboContinue . mboFinalize . mbo_OptPath . mbo_parallel . mlrMBO_examples . plot.OptState . plotExampleRun . plotMBOResult . print.MBOControl . proposePoints . renderExampleRunPlot . setMBOControlInfill . setMBOControlMultiObj . setMBOControlMultiPoint . setMBOControlTermination . trafos . updateSMBO .
Some associated R codes: MBOResult.R . OptProblem.R . OptResult.R . OptState.R . OptState_getter.R . OptState_setter.R . SMBO.R . calculateGap.R . checkDesign.R . checkLearner.R . checkStuff.R . chooseFinalPoint.R . convertToDesign.R . doc_error_handling.R . doc_mbo_OptPath.R . doc_mbo_parallel.R . doc_mlrMBO_examples.R . evalFinalPoint.R . evalMBODesign.R . evalProposedPoints.R . evalTargetFun.R . exampleRun.R . exampleRunMultiObj.R . filterProposedPoints.R . getEffectiveBestPoint.R . getExtras.R . getInfillOptFunction.R . getMBOInfillCrit.R . getSupportedInfillOptFunctions.R . getSupportedMultipointInfillOptFunctions.R . infillOptCMAES.R . infillOptEA.R . infillOptFocus.R . infillOptNSGA2.R . infill_crits.R . initCrit.R . initOptProblem.R . makeMBOControl.R . makeMBOInfillCrit.R . makeMBOLearner.R . makeMBOOptPath.R . makeMBOTrafoFunction.R . makeProposal.R . makeTaskSingleObj.R . makeTasks.R . makeTasksMultiObj.R . makeTasksParEGO.R . mbo.R . mboContinue.R . mboFinalize.R . mboTemplate.R . multiobj_helpers.R . plotExampleRun.R . plot_MBOResult.R . plot_OptState.R . proposePoints.R . proposePointsByInfillOptimization.R . proposePointsConstantLiar.R . proposePointsDIB.R . proposePointsHelpers.R . proposePointsMOIMBO.R . proposePointsMSPOT.R . proposePointsParEGO.R . proposePointsParallelCB.R . proposePointsRandom.R . renderExampleRunPlot.R . renderExampleRunPlotMultiObj.R . renderExampleRunPlotSingleCrit.R . renderExampleRunPlotSingleCrit1d.R . renderExampleRunPlotSingleCrit2d.R . renderExampleRunPlot_helpers.R . setMBOControlInfill.R . setMBOControlMultiObj.R . setMBOControlMultiPoint.R . setMBOControlTermination.R . shouldTerminate.R . term_conds.R . trainModels.R . utils.R . zzz.R . Full mlrMBO package functions and examples
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