Expert-Driven Monitoring of Operational ML Models

Autor:	Leest, Joran, Raibulet, Claudia, Gerostathopoulos, Ilias, Lago, Patricia
Rok vydání:	2024
Předmět:	Computer Science - Machine Learning Computer Science - Software Engineering
Druh dokumentu:	Working Paper
Popis:	We propose Expert Monitoring, an approach that leverages domain expertise to enhance the detection and mitigation of concept drift in machine learning (ML) models. Our approach supports practitioners by consolidating domain expertise related to concept drift-inducing events, making this expertise accessible to on-call personnel, and enabling automatic adaptability with expert oversight.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2401.11993 Zobrazit plný text záznamu View this record from Arxiv