ParamHelpers: Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning
Bernd Bischl, Michel Lang, Jakob Richter, Jakob Bossek, Daniel Horn, Pascal Kerschke · 2012
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.