What Gets Measured Gets Improved: Monitoring Machine Learning Applications in Their Production Environments

Machine learning (ML) applications face many new, hardly predictable aspects in their production environments. Detecting new aspects in an ML production environment and understanding their impacts on the ML application is crucial if organizations are to ensure ML applications functionality. A monito...

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Principais autores:	Dominik Protschky, Luis Lammermann, Peter Hofmann, Nils Urbach
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Access
נושאים:	Machine learning MLOps monitoring software engineering
גישה מקוונת:	https://ieeexplore.ieee.org/document/10886935/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!