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: 0.0.1
Depends: R (≥ 3.5.0), data.table (≥ 1.11.8), GauPro, stats, foreach, dbscan
Suggests: knitr, rmarkdown, xgboost, doParallel, ggplot2
Published: 2018-12-03
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

Downloads:

Reference manual: ParBayesianOptimization.pdf
Vignettes: advancedFeatures
standardFeatures
Package source: ParBayesianOptimization_0.0.1.tar.gz
Windows binaries: r-devel: ParBayesianOptimization_0.0.1.zip, r-release: ParBayesianOptimization_0.0.1.zip, r-oldrel: not available
OS X binaries: r-release: ParBayesianOptimization_0.0.1.tgz, r-oldrel: not available

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