Package: ParBayesianOptimization 1.4.2

Novica Nakov

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, cph], Novica Nakov [aut, cre, cph]

ParBayesianOptimization_1.4.2.tar.gz
ParBayesianOptimization_1.4.2.zip(r-4.7-any)ParBayesianOptimization_1.4.2.zip(r-4.6-any)
ParBayesianOptimization_1.4.2.tar.gz(r-4.7-any)ParBayesianOptimization_1.4.2.tar.gz(r-4.6-any)
ParBayesianOptimization_1.4.2.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://cran.r-universe.dev', 'https://cloud.r-project.org'))

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

On CRAN:

Conda:

quarto

4.91 score 2 stars 136 scripts 484 downloads 6 exports 27 dependencies

Last updated from:b3e4f19f23. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK142
source / vignettesOK238
linux-releaseOK147
windows-develOK105
windows-releaseOK133
wasm-releaseOK99

Exports:addIterationsbayesOptchangeSaveFilegetBestParsgetLocalOptimumsupdateGP

Dependencies:clicodetoolscpp11data.tabledbscanDiceKrigingfarverforeachgenericsggplot2gluegtableisobanditeratorslabelinglhslifecyclepatchworkR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr

Function Maximization
Simple Example

Last update: 2026-10-20
Started: 2026-09-30

Sampling Multiple Parameter Sets at Once
Sampling Local Optimums | Adding Noise

Last update: 2026-10-20
Started: 2026-09-30

Tuning Hyperparameters
Package Process | Practical Example

Last update: 2026-10-20
Started: 2026-09-30