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When using MLflow should I use log_model or save_model?

User16826992666
Valued Contributor

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

1 ACCEPTED SOLUTION

Accepted Solutions

sajith_appukutt
Honored Contributor II

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

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1 REPLY 1

sajith_appukutt
Honored Contributor II

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