You can now build custom trace views in the Databricks MLflow trace explorer.
You can now build custom trace views in the Databricks MLflow trace explorer. Describe the layout you want in plain language, and Genie generates a reusable view that surfaces the trace fields, metrics, and feedback controls most relevant to your review workflow. note This feature is in Beta.
Display components When you describe a layout, Genie assembles it from a set of display components: Stat card: Displays a single metric or value, such as latency, token count, or a computed score.
You can now build custom trace views in the Databricks MLflow trace explorer. Describe the layout you want in plain language, and Genie generates a reusable view that surfaces the trace fields, metrics, and feedback controls most relevant to your review…
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