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

Package details

AuthorBernd 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]
MaintainerJakob Richter <code@jakob-r.de>
LicenseBSD_2_clause + file LICENSE
Version1.14
URL https://paramhelpers.mlr-org.com https://github.com/mlr-org/ParamHelpers
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ParamHelpers")

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ParamHelpers documentation built on March 26, 2020, 7:40 p.m.