PyExperimenter

Easily distribute experiments and track results

Verfasst von

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.

Details

Externe Organisation(en): Universität Paderborn
Ludwig-Maximilians-Universität München (LMU)
Universidad de la Sabana
Typ: Artikel
Journal: Journal of Open Source Software
Band: 8
Anzahl der Seiten: 3
Publikationsdatum: 20.04.2023
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
Elektronische Version(en): https://doi.org/10.48550/arXiv.2301.06348 (Zugang: Offen )
https://doi.org/10.21105/joss.05149 (Zugang: Offen )
PDF: PDF

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