Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning R package ParamHelpers version 1.14.2 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. Software 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 Martin Binder <mlr.developer@mb706.com> Comprehensive R Archive Network (CRAN) Bernd Bischl [aut] (ORCID: <https://orcid.org/0000-0001-6002-6980>), Michel Lang [aut] (ORCID: <https://orcid.org/0000-0001-9754-0393>), Jakob Richter [aut] (ORCID: <https://orcid.org/0000-0003-4481-5554>), Jakob Bossek [aut], Daniel Horn [aut], Karin Schork [ctb], Pascal Kerschke [aut], Martin Binder [ctb, cre] BSD_2_clause + file LICENSE (https://CRAN.R-project.org/package=ParamHelpers/LICENSE) 2025-01-09 application/tgz https://CRAN.R-project.org/package=ParamHelpers doi:10.32614/CRAN.package.ParamHelpers