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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.
Getting started
Browse package contents
Package details |
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| Author | Thomas Bartz-Beielstein [aut, cre] (<https://orcid.org/0000-0002-5938-5158>), Martin Zaefferer [aut] (<https://orcid.org/0000-0003-2372-2092>), Frederik Rehbach [aut] (<https://orcid.org/0000-0003-0922-8629>), Margarita Rebolledo [ctb], Joerg Stork [ctb] (0000-0002-7471-3498), Christian Lasarczyk [ctb] |
| Maintainer | Thomas Bartz-Beielstein <tbb@bartzundbartz.de> |
| License | GPL (>= 2) |
| Version | 2.11.14 |
| URL | https://www.spotseven.de |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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