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.

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Description file content

Package
ParBayesianOptimization
Title
Parallel Bayesian Optimization of Hyperparameters
Version
0.0.1
Description
Fast, flexible framework for implementing Bayesian optimization of model hyperparameters according to the methods described in Snoek et al. . 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
BugReports
https://github.com/AnotherSamWilson/ParBayesianOptimization/issues
Depends
R (>= 3.5.0), data.table (>= 1.11.8), GauPro, stats, foreach, dbscan
License
GPL-2
Encoding
UTF-8
LazyData
true
RoxygenNote
6.1.0.9000
Suggests
knitr,rmarkdown,xgboost,doParallel,ggplot2
VignetteBuilder
knitr
Maintainer
Samuel Wilson
NeedsCompilation
no
Packaged
2018-11-23 23:55:38 UTC; swilson
Author
Samuel Wilson [aut, cre]
Repository
CRAN
Date/Publication
2018-12-03 22:40:06 UTC

install.packages('ParBayesianOptimization')

0.0.1

2 months ago

https://github.com/AnotherSamWilson/ParBayesianOptimization

Samuel Wilson

GPL-2

Depends on

R (>= 3.5.0), data.table (>= 1.11.8), GauPro, stats, foreach, dbscan

Suggests

knitr,rmarkdown,xgboost,doParallel,ggplot2

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