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Description
Description
There is no clear documentation about how one should approach deployment once using kedro-mlflow (especially with custom models). I would love to see how one integrates CI/CD or other Ops style tools to achieve code -> mlflow model -> deployed model workflows (as many issues are faced trying to use mlflow serve
).
Context
Having a clear cut understanding of the deployment patterns one should (subjectively) follow when using kedro and kedro-mlflow makes it a lot easier to understand how to approach MLOps with kedro
and kedro-mlflow
especially with respect to custom models.
Possible Implementation
Updating the kedro-mlflow-tutorial with a basic example of an end to end workflow.
Possible Alternatives
Adding clear documentation to a README
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📋 Backlog