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.
| Version: |
2.11.14 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
DEoptim, ggplot2, glmnet, graphics, grDevices, laGP, MASS, nloptr, plgp, plotly, rpart, randomForest, ranger, rgenoud, rsm, stats, utils |
| Suggests: |
batchtools, car, farff, knitr, microbenchmark, rmarkdown, OpenML, party, RColorBrewer, readr, testthat |
| Published: |
2022-06-25 |
| Author: |
Thomas Bartz-Beielstein
 [aut, cre],
Martin Zaefferer
[aut],
Frederik Rehbach
[aut],
Margarita Rebolledo [ctb],
Joerg Stork [ctb] (0000-0002-7471-3498),
Christian Lasarczyk [ctb] |
| Maintainer: |
Thomas Bartz-Beielstein <tbb at bartzundbartz.de> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://www.spotseven.de |
| NeedsCompilation: |
no |
| Citation: |
SPOT citation info |
| Materials: |
NEWS |
| In views: |
Optimization |
| CRAN checks: |
SPOT results |