ParBayesianOptimization: Parallel Bayesian Optimization of Hyperparameters

Fast, flexible framework for implementing Bayesian optimization of model hyperparameters according to the methods described in Snoek et al. (2012) <doi:10.48550/arXiv.1206.2944>. The package allows the user to run scoring function in parallel, save intermediary results, and tweak other aspects of the process to fully utilize the computing resources available to the user.

Version: 1.3.0
Depends: R (≥ 3.4)
Imports: data.table (≥ 1.11.8), DiceKriging, stats, foreach, dbscan, lhs, crayon, ggplot2, ggpubr (≥ 0.2.4)
Suggests: knitr, xgboost, doParallel, testthat, quarto
Published: 2026-09-30
DOI: 10.32614/CRAN.package.ParBayesianOptimization
Author: Novica Nakov [cre], Samuel Wilson [aut]
Maintainer: Novica Nakov <nnovica at gmail.com>
BugReports: https://github.com/novica/ParBayesianOptimization/issues
License: GPL-2
URL: https://github.com/novica/ParBayesianOptimization
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: ParBayesianOptimization results

Documentation:

Reference manual: ParBayesianOptimization.html , ParBayesianOptimization.pdf
Vignettes: Function Maximization (source, R code)
Sampling Multiple Parameter Sets at Once (source, R code)
Tuning Hyperparameters (source, R code)

Downloads:

Package source: ParBayesianOptimization_1.3.0.tar.gz
Windows binaries: r-devel: ParBayesianOptimization_1.3.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): ParBayesianOptimization_1.3.0.tgz, r-oldrel (x86_64): ParBayesianOptimization_1.3.0.tgz
Old sources: ParBayesianOptimization archive

Reverse dependencies:

Reverse suggests: MachineShop

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ParBayesianOptimization to link to this page.