Jules S. Damji

Perhaps, something like this... for catching and printing the message. ``` import shutil artifact_path = "artifacts/models/delete_file.mdl" if __name__ == "__main__": try: shutil.rmtree(artifact_path) except OSError as err: print('{}. Failed to permanently...

@gtadamson Thanks for filling this enhancement. In general, it's a seems like good idea to have an event-based notification that triggers an action, such as execute custom code at the...

@briankosw, Can you try this [example](https://github.com/dmatrix/mlflow-tests/blob/master/py/mlflow/mlflow_issues/issue_3440.py)? It seems to work and logs the model. 

Sorry @briankosw I miss read your issue. The logging and tracking of models and runs are done by the fluent and respective model flavor APIs. MLflowClient() is more for CRUD...

There are couple if questions that come to the front. Anyone new reading this page quick start might takeaway, from the example demonstrated, that this is all about external pre-trained...

Sorry @bveeramani I missed reviewing but it seems all sorted.

@KangTomwk Can you do a `which gunicorn` to see what you get and if that path is in your PATH? Do you get `/usr/local/bin/gunicorn`?

@tomasatdatabricks @dbczumar is this something that should be supported?

@dankilman Thanks for filing this and bringing it to our attention. Since this is experimental, we will keep an eye on it. cc: @harupy is this something we should keep...

@sirikorakoppula Where are you setting the tracking ur? If you clone the git and change train.py and add as follows: ``` ... mlflow.set_tracking_uri("sqlite:///mlruns.db") with mlflow.start_run(): lr = ElasticNet(alpha=alpha, l1_ratio=l1_ratio, random_state=42)...