topic Re: How to PREVENT mlflow's autologging from logging ALL runs? in Machine Learning

How to PREVENT mlflow's autologging from logging ALL runs?

naveen_marthala — Mon, 02 May 2022 16:08:48 GMT

I am logging runs from jupyter notebook. the cells which has `mlflow.sklearn.autlog()` behaves as expected. but, the cells which has .fit() method being called on sklearn's estimators are also being logged as runs without explicitly mentioning `mlflow.sklearn.autlog()` on top. How do I have mlflow log only the ones I call `mlflow.xxxx.autlog()` or by doing `with mlflow.star_run()`?

Re: How to PREVENT mlflow's autologging from logging ALL runs?

Anonymous — Mon, 02 May 2022 23:47:27 GMT

You can turn it off.

https://docs.databricks.com/applications/mlflow/databricks-autologging.html#disable-databricks-autologging

Re: How to PREVENT mlflow's autologging from logging ALL runs?

Anonymous — Wed, 18 May 2022 12:35:40 GMT

https://apkmiz.com/showbox-apk-old-latest-version-android/

Re: How to PREVENT mlflow's autologging from logging ALL runs?

Joe_Breath1 — Sun, 24 Aug 2025 23:39:46 GMT

It looks like MLflow auto-logging is kicking in by default whenever you call .fit(), which is why you’re seeing runs even without explicitly using mlflow.sklearn.autolog(). To fix this, you can disable the global autologging and only trigger it when you explicitly call mlflow.xxx.autolog() or wrap your code with with mlflow.start_run(). For more details, you can also visit website resources on MLflow’s official docs.

Re: How to PREVENT mlflow's autologging from logging ALL runs?

Joe_Breath1 — Tue, 28 Oct 2025 14:41:21 GMT

Nice tip! I didn’t know about that auto-logging part. I’ll try this in my next bus apk setup.

Re: How to PREVENT mlflow's autologging from logging ALL runs?

alexsheer9003 — Mon, 19 Jan 2026 10:47:26 GMT

NICE TIP!

Re: How to PREVENT mlflow's autologging from logging ALL runs?

Easysjs — Wed, 29 Apr 2026 15:47:31 GMT

Great question! To prevent MLflow's autologging from logging ALL runs, you can disable it entirely or selectively control which libraries or runs get logged.

You can also start a run with mlflow.start_run() and set log_models=False or use mlflow.end_run() to stop logging. For finer control, consider using mlflow.set_tracking_uri() and managing runs manually.

On a side note, logging every single run can feel as chaotic as traffic in Bus Simulator Indonesia you need to steer manually to avoid total chaos