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. <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: 0.1.1
Depends: R (≥ 3.4)
Imports: data.table (≥ 1.11.8), GauPro, stats, foreach, dbscan, lhs
Suggests: knitr, rmarkdown, xgboost, doParallel, ggplot2
Published: 2019-03-10
Author: Samuel Wilson [aut, cre]
Maintainer: Samuel Wilson <samwilson303 at>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ParBayesianOptimization results


Reference manual: ParBayesianOptimization.pdf
Vignettes: advancedFeatures
Package source: ParBayesianOptimization_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: ParBayesianOptimization_0.1.1.tgz, r-oldrel: ParBayesianOptimization_0.1.1.tgz
Old sources: ParBayesianOptimization archive


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