A set of tools for model based optimization and tuning of
algorithms. 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.
| Version: |
2.0.6 |
| Depends: |
R (≥ 3.0.0) |
| Imports: |
randomForest, ranger, stats, utils, graphics, grDevices, MASS, DEoptim, rgenoud, plotly, rsm, nloptr, ggplot2 |
| Suggests: |
testthat, batchtools |
| Published: |
2020-06-17 |
| Author: |
Thomas Bartz-Beielstein [aut, cre],
Joerg Stork [aut],
Martin Zaefferer [aut],
Margarita Rebolledo [ctb],
Christian Lasarczyk [ctb],
Lorenzo Gentile [ctb],
Frederik Rehbach [aut] |
| Maintainer: |
Thomas Bartz-Beielstein <tbb at bartzundbartz.de> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Citation: |
SPOT citation info |
| Materials: |
NEWS |
| CRAN checks: |
SPOT results |