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.

Documentation

Manual: SPOT.pdf
Vignette: None available.

Maintainer: Martin Zaefferer <martin.zaefferer at gmx.de>

Author(s): Thomas Bartz-Beielstein*, Joerg Stork*, Martin Zaefferer*, Margarita Rebolledo*, Christian Lasarczyk*, Joerg Ziegenhirt*, Wolfgang Konen*, Oliver Flasch*, Patrick Koch*, Martina Friese*

Install package and any missing dependencies by running this line in your R console:

install.packages("SPOT")

Depends R (>= 3.0.0)
Imports randomForest, stats, utils, graphics, MASS
Suggests testthat
Enhances
Linking to
Reverse
depends
Reverse
imports
Reverse
suggests
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enhances
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linking to

Package SPOT
Materials
URL
Task Views
Version 2.0.1
Published 2017-03-08
License GPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks SPOT check results
Package source SPOT_2.0.1.tar.gz