rBayesianOptimization: Bayesian Optimization of Hyperparameters

A Pure R implementation of Bayesian Global Optimization with Gaussian Processes.

Version: 1.2.0
Depends: R (≥ 2.10)
Imports: stats, utils, data.table (≥ 1.9.6), magrittr, foreach, GPfit
Suggests: xgboost
Published: 2021-06-17
Author: Yachen Yan [aut, cre]
Maintainer: Yachen Yan <yanyachen21 at gmail.com>
BugReports: https://github.com/yanyachen/rBayesianOptimization/issues
License: GPL-2
URL: https://github.com/yanyachen/rBayesianOptimization
NeedsCompilation: no
Materials: README
In views: Optimization
CRAN checks: rBayesianOptimization results

Documentation:

Reference manual: rBayesianOptimization.pdf

Downloads:

Package source: rBayesianOptimization_1.2.0.tar.gz
Windows binaries: r-devel: rBayesianOptimization_1.2.0.zip, r-release: rBayesianOptimization_1.2.0.zip, r-oldrel: rBayesianOptimization_1.2.0.zip
macOS binaries: r-release (arm64): rBayesianOptimization_1.2.0.tgz, r-oldrel (arm64): rBayesianOptimization_1.2.0.tgz, r-release (x86_64): rBayesianOptimization_1.2.0.tgz
Old sources: rBayesianOptimization archive

Reverse dependencies:

Reverse imports: audrex, DCLEAR, EDMeasure
Reverse suggests: MachineShop

Linking:

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