PyExperimenter

Easily distribute experiments and track results

authored by

Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever

Abstract

PyExperimenter is a tool to facilitate the setup, documentation, execution, and subsequent evaluation of results from an empirical study of algorithms and in particular is designed to reduce the involved manual effort significantly. It is intended to be used by researchers in the field of artificial intelligence, but is not limited to those.

External Organisation(s)

Paderborn University

Type

Preprint

Publication date

16.01.2023

Publication status

E-pub ahead of print

Electronic version(s)

https://arxiv.org/pdf/2301.06348.pdf (Access: Open)