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

User15787040559 — Tue, 22 Jun 2021 22:42:43 GMT

Yes, you can use the API https://www.mlflow.org/docs/latest/python_api/index.html

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

Mooune_DBU — Tue, 22 Jun 2021 22:50:47 GMT

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 = spark.read.format("mlflow-experiment").load()
df_client.createOrReplaceTempView("vw_client")

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
 
  """)
display(df_model_selector)

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

diogo_vieira — Tue, 18 Feb 2025 14:54:35 GMT

And how about tracing data? Do you know how to read like

spark.read.format("mlflow-experiment").load()

topic Re: Can we retrieve experiment results via MLflow API or is this only possible using UI? in Machine Learning

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

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

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