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PyExperimenter: Easily distribute experiments and track results

Authors :
Tornede, Tanja
Tornede, Alexander
Fehring, Lukas
Gehring, Lukas
Graf, Helena
Hanselle, Jonas
Mohr, Felix
Wever, Marcel
Publication Year :
2023

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.<br />Comment: Published in Journal of Open Source Software

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2301.06348
Document Type :
Working Paper
Full Text :
https://doi.org/10.21105/joss.05149