Surveillance des modèles


Révision datée du 31 décembre 2021 à 20:58 par Imeziani (discussion | contributions) (Imeziani a déplacé la page Model monitoring vers Surveillance des modèles)

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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.

Source : valohai



Contributeurs: Imane Meziani, wiki