Parallel Bayesian Optimization of Hyperparameters

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.


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install.packages("ParBayesianOptimization")

0.0.1 by Samuel Wilson, 3 months ago


https://github.com/AnotherSamWilson/ParBayesianOptimization


Report a bug at https://github.com/AnotherSamWilson/ParBayesianOptimization/issues


Browse source code at https://github.com/cran/ParBayesianOptimization


Authors: Samuel Wilson [aut, cre]


Documentation:   PDF Manual  


GPL-2 license


Depends on data.table, GauPro, stats, foreach, dbscan

Suggests knitr, rmarkdown, xgboost, doParallel, ggplot2


See at CRAN