PyExperimenter: Easily distribute experiments and track results

Research output: Contribution to journalArticleResearchpeer review

Authors

External Research Organisations

  • Paderborn University
  • Ludwig-Maximilians-Universität München (LMU)
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Details

Original languageEnglish
Number of pages3
JournalJournal of Open Source Software
Publication statusPublished - 20 Apr 2023
Externally publishedYes

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.

Keywords

    cs.DC, cs.AI

Cite this

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

Research output: Contribution to journalArticleResearchpeer review

Tornede, T, Tornede, A, Fehring, L, Gehring, L, Graf, H, Hanselle, J, Mohr, F & Wever, M 2023, 'PyExperimenter: Easily distribute experiments and track results', Journal of Open Source Software. https://doi.org/10.21105/joss.05149
Tornede, T., Tornede, A., Fehring, L., Gehring, L., Graf, H., Hanselle, J., Mohr, F., & Wever, M. (2023). PyExperimenter: Easily distribute experiments and track results. Journal of Open Source Software. https://doi.org/10.21105/joss.05149
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. doi: 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.
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