PyExperimenter: Easily distribute experiments and track results

1 code implementation • 16 Jan 2023 • Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever

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.

HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection

1 code implementation • 31 Oct 2022 • Lukas Fehring, Jonas Hanselle, Alexander Tornede

It is well known that different algorithms perform differently well on an instance of an algorithmic problem, motivating algorithm selection (AS): Given an instance of an algorithmic problem, which is the most suitable algorithm to solve it?

regression