PyExperimenter: Easily distribute experiments and track results

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

Externe Organisationen

  • Universität Paderborn
  • Ludwig-Maximilians-Universität München (LMU)
  • Universidad de la Sabana
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Details

OriginalspracheEnglisch
Seitenumfang3
FachzeitschriftJournal of Open Source Software
Jahrgang8
Ausgabenummer84
PublikationsstatusVeröffentlicht - 20 Apr. 2023
Extern publiziertJa

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.

Zitieren

PyExperimenter: Easily distribute experiments and track results. / Tornede, Tanja; Tornede, Alexander; Fehring, Lukas et al.
in: Journal of Open Source Software, Jahrgang 8, Nr. 84, 20.04.2023.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Tornede T, Tornede A, Fehring L, Gehring L, Graf H, Hanselle J et al. PyExperimenter: Easily distribute experiments and track results. Journal of Open Source Software. 2023 Apr 20;8(84). doi: 10.48550/arXiv.2301.06348, 10.21105/joss.05149
Tornede, Tanja ; Tornede, Alexander ; Fehring, Lukas et al. / PyExperimenter : Easily distribute experiments and track results. in: Journal of Open Source Software. 2023 ; Jahrgang 8, Nr. 84.
Download
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