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Resolved! When using MLflow should I use log_model or save_model?
They seem to have similar functions. What is the recommended pattern here?
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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...
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