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ParBayesianOptimization
View on CRAN: Click
here
Download and install ParBayesianOptimization package within the R console
Install from CRAN:
install.packages("ParBayesianOptimization")
Install from Github:
library("remotes")
install_github("cran/ParBayesianOptimization")
Install by package version:
library("remotes")
install_version("ParBayesianOptimization", "1.2.6")
Attach the package and use:
library("ParBayesianOptimization")
Maintained by
Samuel Wilson
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-03
Latest Update: 2022-10-18
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.
How to cite:
Samuel Wilson (2018). ParBayesianOptimization: Parallel Bayesian Optimization of Hyperparameters. R package version 1.2.6, https://cran.r-project.org/web/packages/ParBayesianOptimization. Accessed 07 Nov. 2024.
Previous versions and publish date:
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Complete documentation for ParBayesianOptimization
Functions, R codes and Examples using
the ParBayesianOptimization R package
Some associated functions: addIterations . bayesOpt . changeSaveFile . getBestPars . getLocalOptimums . plot.bayesOpt . print . updateGP .
Some associated R codes: SmallFuncs.R . addIterations.R . applyNoise.R . bayesOpt.R . calcAcq.R . changeSaveFile.R . getBestPars.R . getLocalOptimums.R . getNextParameters.R . plot.R . print.R . updateGP.R . Full ParBayesianOptimization package functions and examples
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