> For the complete documentation index, see [llms.txt](https://docs.seldon.ai/home/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.seldon.ai/home/core-2-+-modules/mpm-module.md).

# MPM Module

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](https://www.seldon.io/contact-2/).