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
0.1.1
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 (>= 3.4)
Imports
data.table (>= 1.11.8), GauPro, stats, foreach, dbscan, lhs
Suggests
knitr,rmarkdown,xgboost,doParallel,ggplot2
License
GPL-2
Encoding
UTF-8
LazyData
true
RoxygenNote
6.1.1
VignetteBuilder
knitr
Maintainer
Samuel Wilson
NeedsCompilation
no
Packaged
2019-03-10 15:27:55 UTC; swilson
Author
Samuel Wilson [aut, cre]
Repository
CRAN
Date/Publication
2019-03-10 16:02:40 UTC

install.packages('ParBayesianOptimization')

0.1.1

2 months ago

https://github.com/AnotherSamWilson/ParBayesianOptimization

Samuel Wilson

GPL-2

Depends on

R (>= 3.4)

Imports

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

Suggests

knitr,rmarkdown,xgboost,doParallel,ggplot2

Discussions