Kfops is an opinionated Kubeflow "wrapper" to manage your
pipelines and model deployment with use of dedicated python package and chatops commands.
It simplifies and standardizes Kubeflow-based ML model lifecycle by enforcing
"single repository per ML model" rule and explicit way how it should be configured.
Commands like /build, /build_run and /deploy are executed in the context of the Pull Request.
Read the high-level introductory article.
For more details, visit documentation