When using MLflow should I use log_model or save_model?

[User16826992666]

They seem to have similar functions. What is the recommended pattern here?

[sajith_appukutt · Accepted solution]

mlflow.<model-type>.log_model(model, ...) saves the model to the MLflow tracking server.

mlflow.<model-type>.save_model(model, modelpath) saved the model locally to  a DBFS path.

More details at https://docs.databricks.com/applications/mlflow/models.html