Yes, Phoenix supports adding tags to dataset examples for cohort analysis. You can add a tag column (e.g., "adversarial") to your pandas DataFrame and specify it in the schema using the `tag_column_names` parameter. This allows you to filter, group, and analyze performance by tag in the Phoenix UI and during experiments.
For example, add a column like `adversarial` to your DataFrame, then set `tag_column_names=<https://arize.com/docs/phoenix/~/changes/v6Zhm276x8LlKmwqElIA/how-to/define-your-schema|"adversarial"]` in your schema. Tags are then available for analytics and cohort filtering in the app聽[as described here>. Would you like a code example?
Sources:
- <https://arize.com/docs/phoenix/~/changes/v6Zhm276x8LlKmwqElIA/how-to/define-your-schema|Phoenix: How to define your schema>
