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: |
1.13 |
| Imports: |
backports, BBmisc (≥ 1.10), checkmate (≥ 1.8.2), fastmatch, methods |
| Suggests: |
akima, covr, eaf, emoa, GGally, ggplot2, grid, gridExtra, irace (≥ 2.1), lhs, plyr, reshape2, testthat |
| Published: |
2019-12-02 |
| 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 |