Customizing Report Content
Last updated September 6, 2024
Evidently AI's reports are designed to be informative and insightful, but you can further customize them to fit your specific needs and communicate information effectively to your team and stakeholders. Here's how to tailor those reports to showcase your most valuable findings.
Customizing Report Content
- Choose Metrics: Select the metrics that are most important for your model monitoring and data analysis. You can include metrics from pre-defined presets like `DataDriftPreset`, `DataQualityPreset`, or `RegressionPreset`. You can also add custom metrics, as we'll see later.
- Order of Metrics: Control the order in which metrics are displayed in the report. This can be helpful to prioritize certain sections for your audience.
- Adding Custom Sections: You can add additional sections to the report to provide further context or information. For example, you could add a section explaining your model, the business context, or specific domain requirements.
- Use the `Report` Class: To customize the report, you'll work with the `Report` class. Here's a basic example:
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