Package: ParBayesianOptimization 1.2.5

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.

Authors:Samuel Wilson [aut, cre]

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Bug tracker:https://github.com/anothersamwilson/parbayesianoptimization/issues

On CRAN:

bayesian-inferencemachine-learning

6 exports 103 stars 4.19 score 75 dependencies 67 scripts 1.3k downloads

Last updated 2 years agofrom:af44dd96f9. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:addIterationsbayesOptchangeSaveFilegetBestParsgetLocalOptimumsupdateGP

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecorrplotcowplotcpp11crayondata.tabledbscanDerivDiceKrigingdoBydplyrfansifarverforeachgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobanditeratorslabelinglatticelhslifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6RColorBrewerRcppRcppEigenrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr