Evaluation output

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Python APIs:

mlflow.evaluate() returns a result object that is an instance of EvaluationResult.
result.metrics: A dictionary of aggregated evaluation results.
result.tables['eval_results']: A DataFrame of per-request evaluation results.

For more details, see the mlflow.evaluate API reference or the MLflow LLM Evaluate Quickstart.