Monitoring ML with Seldon’s Model Performance Metrics Module
An exclusive first look at Model Performance Metrics (MPM) which is Seldon’s newest module designed to bring clarity, flexibility, and depth to model performance monitoring in production.
Matthew Lowdon
Principal Product Manager
What we cover:
- What Seldon’s MPM Module does differently
- How Seldon’s new feedback storage and rolling window metrics unlock real-time and retrospective insights
- A breakdown of the expanded metric suite for both classification and regression models
- How MPM integrates with Core 2 deployments via Jupyter notebooks and Grafana
Whether struggling with stale dashboards, limited metrics, or misaligned feedback data, MPM Module is your gateway to better performance visibility across your entire ML deployment.
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