How to find best model using python in mlflow

[User16826994223]

I have a use case in mlflow with python code to find a model version that has the best metric (for instance, “accuracy”) among so many versions , I don't want to use web ui but to use python code to achieve this. Any Idea?

[User16826994223 · Accepted solution]

import mlflow 
client = mlflow.tracking.MlflowClient()
runs = client.search_runs("my_experiment_id", "", order_by=["metrics.rmse DESC"], max_results=1)
best_run = runs[0]

https://mlflow.org/docs/latest/python_api/mlflow.tracking.html#mlflow.tracking.MlflowClient.search_r...