analyzing-mlflow-trace

To debug an MLflow trace, fetch the full data using mlflow traces get, then inspect the spans, inputs, outputs, and assessments to locate the root cause of the failure.

You analyze MLflow spans to identify performance bottlenecks by fetching the full trace tree and inspecting the span relationships. This reveals execution delays and input or output issues across the trace.

Yes, you can inspect complex trace trees from OpenTelemetry using MLflow. The analysis applies to debugging traces from MLflow and OpenTelemetry by robustly inspecting span data and assessments within complex trees.

The best way to assess MLflow trace quality for a given trace ID is to fetch the full trace data and inspect the assessments. This allows you to evaluate span behavior and evidence from inputs and outputs.

Yes, you need mlflow traces get to analyze a trace ID. The analysis requires access to the full trace data fetched by this command to robustly inspect span data and assessments for root causes.