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. <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 resourcesavailable to the user.
| Version: | 1.2.6 |
| Depends: | R (≥ 3.4) |
| Imports: | data.table (≥ 1.11.8),DiceKriging, stats,foreach,dbscan,lhs,crayon,ggplot2,ggpubr (≥ 0.2.4) |
| Suggests: | knitr,rmarkdown,xgboost,doParallel,testthat |
| Published: | 2022-10-18 |
| DOI: | 10.32614/CRAN.package.ParBayesianOptimization |
| Author: | Samuel Wilson [aut, cre] |
| Maintainer: | Samuel Wilson <samwilson303 at gmail.com> |
| BugReports: | https://github.com/AnotherSamWilson/ParBayesianOptimization/issues |
| License: | GPL-2 |
| URL: | https://github.com/AnotherSamWilson/ParBayesianOptimization |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | ParBayesianOptimization results[issues need fixing before 2025-12-22] |
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