F.A.Q.
Last updated
Last updated
Check if there is already an open issue on the topic on . If there is none, create a new issue.
Open an issue on , or ask in our .
We probably can! However, we might choose not to since we try to have a good enough and maintainable set of Metrics and Tests. That is a delicate balance!
If you want to change the Report or Test Suite composition, you can add custom metrics. Explore the for more details.
You can self-host an Evidently ML Monitoring dashboard to track the model performance over time. Explore the section for details. You can also export the report summary as a JSON or Python dictionary and integrate it with external tools. Refer to the to see examples.
You might be using an older Evidently version. Starting from version 0.3.2, all visualizations in Reports are aggregated by default. This helps reduce the size of the resulting HTML. You can choose to include if you prefer this. In this case, you might want to use a sampling strategy for your dataset, for instance, random sampling or stratified sampling.
If your dataset is too large, you can define a sampling strategy.
We plan to add support for distributed computation in the later version.
We have a !