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It would be helpful to see the difference with MLFlow. The deployment part as well as model registry part.
by dmpetrov 4y ago
It would be helpful to see the difference with MLFlow. The deployment part as well as model registry part.
- aguschin 4y agoHi! Thanks for the question! There are a few important differences: - MLEM automatically extracts the metadata from the model for you. With MLflow, you need to specify ML framework and environment. - For the Model Registry that you can build in Git with MLEM, you don't need a separate service and Database up, except for GitHub or GitLab.