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:
ParBayesianOptimization_1.2.5.tar.gz
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ParBayesianOptimization.pdf |ParBayesianOptimization.html✨
ParBayesianOptimization/json (API)
NEWS
| # Install 'ParBayesianOptimization' in R: |
| install.packages('ParBayesianOptimization', repos = c('https://anothersamwilson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/anothersamwilson/parbayesianoptimization/issues
bayesian-inferencemachine-learning
Last updated 2 years agofrom:af44dd96f9. Checks:1 OK, 8 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 06 2025 |
| R-4.5-win | NOTE | Mar 06 2025 |
| R-4.5-mac | NOTE | Mar 06 2025 |
| R-4.5-linux | NOTE | Mar 06 2025 |
| R-4.4-win | NOTE | Mar 06 2025 |
| R-4.4-mac | NOTE | Mar 06 2025 |
| R-4.4-linux | NOTE | Mar 06 2025 |
| R-4.3-win | NOTE | Mar 06 2025 |
| R-4.3-mac | NOTE | Mar 06 2025 |
Exports:addIterationsbayesOptchangeSaveFilegetBestParsgetLocalOptimumsupdateGP
Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecorrplotcowplotcpp11crayondata.tabledbscanDerivDiceKrigingdoBydplyrfansifarverforeachFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobanditeratorslabelinglatticelhslifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Function Maximization
Rendered fromfunctionMaximization.Rmdusingknitr::rmarkdownon Mar 06 2025.Last update: 2021-02-09
Started: 2020-02-10
Sampling Multiple Parameter Sets at Once
Rendered frommultiPointSampling.Rmdusingknitr::rmarkdownon Mar 06 2025.Last update: 2021-02-09
Started: 2020-02-10
Tuning Hyperparameters
Rendered fromtuningHyperparameters.Rmdusingknitr::rmarkdownon Mar 06 2025.Last update: 2021-02-09
Started: 2020-02-10
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Run Additional Optimization Iterations | addIterations |
| Bayesian Optimization with Gaussian Processes | bayesOpt |
| Change Save File Location | changeSaveFile |
| Get the Best Parameter Set | getBestPars |
| Get Local Optimums of acq From a bayesOpt Object | getLocalOptimums |
| Plot a 'bayesOpt' object | plot.bayesOpt |
| Print a 'bayesOpt' object | print.bayesOpt |
| Update Gaussian Processes in a bayesOpt Object | updateGP |
