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.


Reference manual

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0.0.1 by Samuel Wilson, 3 months ago

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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