Custom Metrics and Checks
Last updated September 6, 2024
Evidently AI provides a wide range of predefined metrics and checks to monitor your machine learning models and data, but sometimes you'll need to go beyond the standard options. This article shows you how to define custom metrics and checks to precisely address your unique requirements for data monitoring and analysis.
Creating Custom Metrics and Checks:
- Identify Your Needs: Determine what specific information you want to monitor and the metrics or checks that are not directly provided by Evidently AI's default features.
- Understand the API: Familiarize yourself with the Evidently AI API. This will allow you to create custom metrics and checks by interacting programmatically with Evidently AI's capabilities.
- Create Custom Metrics:
- Use the `Metric` Class: Use the `Metric` class to create new, custom metrics.
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