Surveillance des modèles
en construction
Définition
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Model monitoring
Model monitoring refers to the process of closely tracking the performance of machine learning models in production. It enables your AI team to identify and eliminate a variety of issues, including bad quality predictions and poor technical performance. As a result, your machine learning models deliver the best performance. At a high level, we can think of ML monitoring capabilities as a way to identify what could be wrong in an ML pipeline.
Contributeurs: Imane Meziani, wiki