This is the new SPOT core package. Additional functions were moved to
the new package SPOTMisc, which was submitted to CRAN today.
SPOTMisc_1.2.2 has been auto-processed and is pending a manual inspection.
Maintainability will be improved, because SPOT 2.5 has a reduced number of dependencies.
SPOT provides 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.
Title: Sequential Parameter Optimization Toolbox
Depends: R (>= 3.5.0)
Suggests: babsim.hospital, batchtools, car, farff, knitr,
microbenchmark, rmarkdown, OpenML, party, RColorBrewer, readr,
License: GPL (>=2)
Imports: DEoptim, ggplot2, glmnet, graphics, grDevices, laGP, MASS,
nloptr, plgp, plotly, rpart, randomForest, ranger, rgenoud,
rsm, stats, utils