PyExperimenter: Easily distribute experiments and track results
This tool addresses the problem of time-consuming experiment management for researchers in AI and related fields, but it is incremental as it builds on existing practices for experiment automation.
The authors tackled the problem of manual effort in empirical studies of algorithms by developing PyExperimenter, a tool that facilitates setup, documentation, execution, and evaluation, reducing manual work significantly.
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.