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.
Version: |
1.14.1 |
Imports: |
backports, BBmisc (≥ 1.10), checkmate (≥ 1.8.2), fastmatch, methods |
Suggests: |
interp, covr, eaf, emoa, GGally, ggplot2, grid, gridExtra, irace (≥ 2.1), lhs, plyr, reshape2, testthat |
Published: |
2022-07-04 |
DOI: |
10.32614/CRAN.package.ParamHelpers |
Author: |
Bernd Bischl
[aut],
Michel Lang [aut],
Jakob Richter
[cre, aut],
Jakob Bossek [aut],
Daniel Horn [aut],
Karin Schork [ctb],
Pascal Kerschke [aut] |
Maintainer: |
Jakob Richter <code at jakob-r.de> |
BugReports: |
https://github.com/mlr-org/ParamHelpers/issues |
License: |
BSD_2_clause + file LICENSE |
URL: |
https://paramhelpers.mlr-org.com,
https://github.com/mlr-org/ParamHelpers |
NeedsCompilation: |
yes |
Materials: |
NEWS |
CRAN checks: |
ParamHelpers results |