Functions for parameter descriptions and operations in black-box optimization, tuning and machine learning. Parameters can be described (type, constraints, defaults, etc.), combined to parameter sets and can in general be programmed on. A useful OptPath object (archive) to log function evaluations is also provided.

Documentation

Manual: ParamHelpers.pdf
Vignette: None available.

Maintainer: Bernd Bischl <bernd_bischl at gmx.net>

Author(s): Bernd Bischl*, Michel Lang*, Jakob Bossek*, Daniel Horn*, Karin Schork*, Jakob Richter*, Pascal Kerschke*

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

install.packages("ParamHelpers")

Depends
Imports BBmisc(>=1.10), checkmate(>=1.8.1), methods
Suggests akima, eaf, emoa, GGally, ggplot2, gridExtra, grid, irace(>=2.1), lhs, plyr, reshape2, testthat
Enhances
Linking to
Reverse
depends
cmaesr, ecr, mlr, mlrMBO, smoof
Reverse
imports
aslib, metagen, OpenML
Reverse
suggests
flacco, llama
Reverse
enhances
liquidSVM
Reverse
linking to

Package ParamHelpers
Materials
URL https://github.com/berndbischl/ParamHelpers
Task Views
Version 1.10
Published 2017-01-05
License BSD_2_clause + file LICENSE
BugReports https://github.com/berndbischl/ParamHelpers/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks ParamHelpers check results
Package source ParamHelpers_1.10.tar.gz