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], Michel Lang [aut], Jakob Richter [aut, cre], Jakob Bossek [aut], Daniel Horn [aut], Karin Schork [ctb], Pascal Kerschke [aut]
MaintainerJakob Richter <[email protected]>
LicenseBSD_2_clause + file LICENSE
Version1.11
URL https://github.com/berndbischl/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 June 26, 2018, 1:02 a.m.