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: 1.14.2 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: 2025-01-09 DOI: 10.32614/CRAN.package.ParamHelpers Author: Bernd Bischl [aut], Michel Lang [aut], Jakob Richter [aut], Jakob Bossek [aut], Daniel Horn [aut], Karin Schork [ctb], Pascal Kerschke [aut], Martin Binder [ctb, cre] Maintainer: Martin Binder <mlr.developer at mb706.com> 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 Documentation: Downloads: Reverse dependencies: Reverse depends: cmaesr, ecr, mlr, mlrCPO, mlrMBO, smoof Reverse imports: aslib, FactorHet, glmnetr, Polytect, roseRF, tramnet, tuneRanger, varycoef Reverse suggests: binaryRL, bnclassify, ChemoSpec2D, dynparam, flacco, llama, mlrintermbo, OmnipathR, OpenML Linking:Please use the canonical form https://CRAN.R-project.org/package=ParamHelpers to link to this page.
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