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.
- Organisationseinheit(en)
-
Fachgebiet Maschinelles Lernen
- Externe Organisation(en)
-
Universität Paderborn
Ludwig-Maximilians-Universität München (LMU)
- Typ
- Artikel
- Journal
- Journal of Open Source Software
- Anzahl der Seiten
- 3
- Publikationsdatum
- 20.04.2023
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- Elektronische Version(en)
-
https://doi.org/10.21105/joss.05149 (Zugang:
Offen)
