SPOT
Sequential Parameter Optimization Toolbox
A set of tools for model-based optimization and tuning of algorithms (hyperparameter tuning respectively hyperparameter optimization). It includes surrogate models, optimizers, and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources.
- Version2.11.14
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release06/25/2022
Documentation
Team
Thomas Bartz-Beielstein
Martin Zaefferer
Frederik Rehbach
Margarita Rebolledo
Show author detailsRolesContributorJoerg Stork
Show author detailsRolesContributorChristian Lasarczyk
Show author detailsRolesContributor
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- Depends1 package
- Imports17 packages
- Suggests11 packages
- Reverse Imports3 packages