PyExperimenter: Easily distribute experiments and track results
Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena, Graf, Jonas Hanselle, Felix Mohr, Marcel Wever
TL;DR
PyExperimenter is a tool designed to simplify the setup, execution, and analysis of empirical AI experiments, reducing manual effort for researchers.
Contribution
It introduces a new software tool that streamlines experiment management and result tracking in AI research.
Findings
Significantly reduces manual effort in experiment setup and documentation
Facilitates easier distribution and evaluation of AI experiments
Applicable to a broad range of AI research scenarios
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.
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Taxonomy
TopicsMachine Learning and Data Classification · Explainable Artificial Intelligence (XAI) · Data Stream Mining Techniques