Other packages > Find by keyword >

mlrMBO  

Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions
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", "1.1.6")



Attach the package and use:
library("mlrMBO")
Maintained by
Jakob Richter
[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 1.1.6, https://cran.r-project.org/web/packages/mlrMBO. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:31), 1.0.0 (2017-03-12 18:43), 1.1.0 (2017-05-13 00:53), 1.1.1 (2018-01-03 00:38), 1.1.2 (2018-06-21 18:52), 1.1.3 (2019-12-02 18:20), 1.1.4 (2020-02-28 22:20), 1.1.5.1 (2022-07-04 10:50), 1.1.5 (2020-10-23 17:40)
Other packages that cited mlrMBO R package
View mlrMBO citation profile
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ncdf4  
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
msamp  
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency  
NPHazardRate  
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
Download / Learn more Package Citations See dependency  
cats  
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms, control and experimenta ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA