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 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)
Published: 2022年10月18日
Author: Samuel Wilson [aut, cre]
Maintainer: Samuel Wilson <samwilson303 at gmail.com>
License: GPL-2
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: ParBayesianOptimization results [issues need fixing before 2025年12月22日]

Documentation:

Downloads:

macOS binaries: r-release (arm64): ParBayesianOptimization_1.2.6.tgz, r-oldrel (arm64): ParBayesianOptimization_1.2.6.tgz, r-release (x86_64): ParBayesianOptimization_1.2.6.tgz, r-oldrel (x86_64): ParBayesianOptimization_1.2.6.tgz

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