DESCRIPTION

Package: ParBayesianOptimization
Title: Parallel Bayesian Optimization of Hyperparameters
Version: 1.2.5
Authors@R: person("Samuel", "Wilson", email = "samwilson303@gmail.com", role = c("aut", "cre"))
Description: 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.
URL: https://github.com/AnotherSamWilson/ParBayesianOptimization
BugReports: https://github.com/AnotherSamWilson/ParBayesianOptimization/issues
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
License: GPL-2
Encoding: UTF-8
RoxygenNote: 7.2.1
VignetteBuilder: knitr
Maintainer: Samuel Wilson <samwilson303@gmail.com>