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 resources available 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=ParBayesianOptimization to link to this page.
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