Details
| Original language | English |
|---|---|
| Number of pages | 3 |
| Journal | Journal of Open Source Software |
| Publication status | Published - 20 Apr 2023 |
| Externally published | Yes |
Abstract
Keywords
- cs.DC, cs.AI
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In: Journal of Open Source Software, 20.04.2023.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - PyExperimenter
T2 - Easily distribute experiments and track results
AU - Tornede, Tanja
AU - Tornede, Alexander
AU - Fehring, Lukas
AU - Gehring, Lukas
AU - Graf, Helena
AU - Hanselle, Jonas
AU - Mohr, Felix
AU - Wever, Marcel
PY - 2023/4/20
Y1 - 2023/4/20
N2 - 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.
AB - 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.
KW - cs.DC
KW - cs.AI
U2 - 10.21105/joss.05149
DO - 10.21105/joss.05149
M3 - Article
JO - Journal of Open Source Software
JF - Journal of Open Source Software
ER -