Seldon Developer Portal
  • Seldon Documentation Resources
  • Core 2 + Modules
    • Core 2
    • MLServer
    • LLM Module
    • MPM Module
    • Alibi Detect Module
    • Alibi Explain Module
  • OTHER SOLUTIONS
    • Core 1
    • Enterprise Platform
Powered by GitBook
On this page
Export as PDF
  1. Core 2 + Modules

MPM Module

Learn more about how you can use MPM Module

PreviousLLM Module

Last updated 9 days ago

The Model Performance Metrics (MPM) module in Seldon Core 2 helps you to monitor and evaluate machine learning models running in production. By processing predictions alongside feedback data, MPM calculates key metrics that validate a model’s ongoing suitability. It integrates seamlessly with pipeline CRDs of Core 2 and the Seldon Enterprise Platform, offering real-time insights into model performance. Some of the advantages of using MPM module are:

  • Processes prediction and feedback data to calculate performance metrics.

  • Supports real-time evaluation within Seldon Core 2 pipelines and the Seldon Enterprise Platform.

  • Helps validate and monitor the health and suitability of deployed models over time.

To get started with the MPM Module or explore the full documentation, reach out to the .

Seldon Support team