A set of tools for model-based optimization and tuning of
algorithms (hyperparameter tuning). 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.

c(
person("Thomas", "Bartz-Beielstein", role = c("aut", "cre"), email = "tbb@bartzundbartz.de", comment = c(ORCID = "0000-0002-5938-5158")),
person("Martin", "Zaefferer", role = "aut", comment = c(ORCID = "0000-0003-2372-2092")),
person("Frederik","Rehbach", role = "aut" , comment = c(ORCID = "0000-0003-0922-8629"))
)
Implements additional models, simulation tools, and interfaces as extensions to 'SPOT'.
It provides tools for hyperparameter tuning via 'keras/tensorflow', interfacing 'mlr', for performing Markov chain simulations,
and for sensitivity analysis based on sequential bifurcation methods as described in Bettonvil and Kleijnen (1996).
Furthermore, additional plotting functions for output from 'SPOT' runs are implemented.
Bartz-Beielstein T, Lasarczyk C W G, Preuss M (2005) <doi:10.1109/CEC.2005.1554761>.
Bartz-Beielstein T, Zaefferer M, Rehbach F (2021) <arXiv:1712.04076>.
Bartz-Beielstein T, Rehbach F, Sen A, Zaefferer M <arXiv:2105.14625>.
Bettonvil, B, Kleijnen JPC (1996) <doi:10.1016/S0377-2217(96)00156-7>.
callr, dplyr, ggplot2, GGally, graphics, grDevices, keras,
magrittr, mlr, Metrics, OpenML, plotly, RColorBrewer,
reticulate, rlang, rpart.plot, rsample, sensitivity, smoof,
SPOT, stats, tensorflow, tfdatasets, utils
farff, knitr, rmarkdown, rpart, testthat
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>)

farff, knitr, rmarkdown, rpart, testthat, xgboost

callr, dplyr, ggplot2, GGally, graphics, grDevices, keras,
magrittr, mlr, Metrics, plotly, RColorBrewer, reticulate,
rlang, rpart.plot, rsample, sensitivity, smoof, SPOT, stats,
tensorflow, tfdatasets, utils