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mlf-core: a framework for deterministic machine learning
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 machine...
Autores principales: | Heumos, Lukas, Ehmele, Philipp, Kuhn Cuellar, Luis, Menden, Kevin, Miller, Edmund, Lemke, Steffen, Gabernet, Gisela, Nahnsen, Sven |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089676/ https://www.ncbi.nlm.nih.gov/pubmed/37004171 http://dx.doi.org/10.1093/bioinformatics/btad164 |
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