English

PyExperimenter: Easily distribute experiments and track results

Distributed, Parallel, and Cluster Computing 2023-04-24 v2 Artificial Intelligence
Authors: Tanja Tornede , Alexander Tornede , Lukas Fehring , Lukas Gehring , Helena Graf , Jonas Hanselle , Felix Mohr , Marcel Wever
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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

software library

Cite

@article{arxiv.2301.06348,
  title  = {PyExperimenter: Easily distribute experiments and track results},
  author = {Tanja Tornede and Alexander Tornede and Lukas Fehring and Lukas Gehring and Helena Graf and Jonas Hanselle and Felix Mohr and Marcel Wever},
  journal= {arXiv preprint arXiv:2301.06348},
  year   = {2023}
}

Comments

Published in Journal of Open Source Software

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