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Can we retrieve experiment results via MLflow API or is this only possible using UI?

New Contributor III

Valued Contributor

There are many ways you can retrieve experiments results using the mlflow API (see example if you want to retrieve and display for only a specific model (assuming you have the `model_name`:

best_models = mlflow.search_runs(filter_string=f'tags.model="{model_name}" and attributes.status = "FINISHED" and metrics.F1 > 0', order_by=['metrics.F1 DESC'], max_results=1)

In Databricks my other favorite way to query runs for ad-hoc analytics is via the "mlflow-experiment" format:

df_client ="mlflow-experiment").load()

Following which one can run queries slice/dice results using SparkSQL:

df_model_selector = spark.sql("""SELECT experiment_id, run_id, metrics.auc as AUC, metrics.F1 as F1, artifact_uri 
    FROM vw_client 
    WHERE status='FINISHED'
    ORDER BY metrics.f1 desc

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