Package: ParBayesianOptimization 1.4.1

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.

Authors:Samuel Wilson [aut], Novica Nakov [aut, cre]

ParBayesianOptimization_1.4.1.tar.gz
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ParBayesianOptimization_1.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ParBayesianOptimization/json (API)

# Install 'ParBayesianOptimization' in R:
install.packages('ParBayesianOptimization', repos = c('https://novica.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/novica/parbayesianoptimization/issues

On CRAN:

Conda:

bayesian-inferencemachine-learningquarto

6.81 score 4 stars 135 scripts 296 downloads 6 exports 27 dependencies

Last updated from:e1b3b3ec84. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK163
source / vignettesOK262
linux-releaseOK210
macos-releaseOK211
macos-oldrelOK171
windows-develOK222
windows-releaseOK182
windows-oldrelOK197
wasm-releaseOK166

Exports:addIterationsbayesOptchangeSaveFilegetBestParsgetLocalOptimumsupdateGP

Dependencies:clicodetoolscpp11data.tabledbscanDiceKrigingfarverforeachgenericsggplot2gluegtableisobanditeratorslabelinglhslifecyclepatchworkR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr

Tuning Hyperparameters
Package Process | Practical Example
Rendered fromtuningHyperparameters.qmdusingquarto::html

Last update: 2026-10-03
Started: 2026-09-20

Function Maximization
Simple Example
Rendered fromfunctionMaximization.qmdusingquarto::html

Last update: 2026-10-03
Started: 2026-09-20

Sampling Multiple Parameter Sets at Once
Sampling Local Optimums | Adding Noise
Rendered frommultiPointSampling.qmdusingquarto::html

Last update: 2026-10-03
Started: 2026-09-20