SPOT: Sequential Parameter Optimization Toolbox

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.

Package details

AuthorThomas 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]
MaintainerThomas Bartz-Beielstein <tbb@bartzundbartz.de>
LicenseGPL (>= 2)
Version2.5.8
URL https://www.spotseven.de
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SPOT")

Try the SPOT package in your browser

Any scripts or data that you put into this service are public.

SPOT documentation built on Aug. 4, 2021, 5:06 p.m.