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
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