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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)