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).
Having a clear cut understanding of the deployment p
The output for the fuseml workflow assign command is:
Workflow "ABC" assigned to codeset "relative-path/XYZ"
This would imply that the codeset is the structural object that the workflow runs on. Since the relationship is actually reverse of this, the output should be:
Codeset "relative-path/XYZ" assigned to workflow "ABC"
Definition of ready
Ready
Description
GAE Flex does not scale to 0, which increases costs unnecessarily when a default_app is added. Deploy the default_app resource on GAE Standard instead.
Definition of done
The default application is deployed on GAE Standard, with the ability to scale to 0
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