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This repository was archived by the owner on Feb 21, 2023. It is now read-only.
Ideally, a user in a CI/CD environment would like to:
deploy a given cluster
deploy a given plugin or set of plugins
deploy a specific set of artifacts (it's training code)
get the outcome and save it
This should be done through a simple config file (YAML?) that allows the above steps to be represented and embed the training in the form of existing defaults (i.e.: KFP, MLFlow, etc..) or as a single file (.py)