mlflow

We use problem matchers to surface python code formatting issues detected by black on GitHub UI as shown in the screenshot below:

We want to replace `wo

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 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