mlf-core: a framework for deterministic machine learning

Abstract Motivation Machine learning has shown extensive growth in recent years and is now routinely applied to sensitive areas. To allow appropriate verification of predictive models before deployment, models must be deterministic. Solely fixing all random seeds is not sufficient for deterministic...

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Vydané v:	Bioinformatics (Oxford, England) Ročník 39; číslo 4
Hlavní autori:	Heumos, Lukas, Ehmele, Philipp, Kuhn Cuellar, Luis, Menden, Kevin, Miller, Edmund, Lemke, Steffen, Gabernet, Gisela, Nahnsen, Sven
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Oxford University Press 03.04.2023
Predmet:	Algorithms Ecosystem Machine Learning Original Paper Software Tomography, X-Ray Computed
ISSN:	1367-4811, 1367-4803, 1367-4811
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