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ParamHelpers: Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning
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.
Getting started
Browse package contents
Package details |
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| Author | Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Jakob Richter [cre, aut] (<https://orcid.org/0000-0003-4481-5554>), Jakob Bossek [aut], Daniel Horn [aut], Karin Schork [ctb], Pascal Kerschke [aut] |
| Maintainer | Jakob Richter <code@jakob-r.de> |
| License | BSD_2_clause + file LICENSE |
| Version | 1.14.1 |
| URL | https://paramhelpers.mlr-org.com https://github.com/mlr-org/ParamHelpers |
| Package repository | View on CRAN |
| Installation |
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