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Support Kubeflow Pipelines #1602
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This would be cool. |
The Kubernetes project currently lacks enough contributors to adequately respond to all issues. This bot triages un-triaged issues according to the following rules:
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Please send feedback to sig-contributor-experience at kubernetes/community. /lifecycle stale |
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The Kubernetes project currently lacks enough contributors to adequately respond to all issues. This bot triages un-triaged issues according to the following rules:
You can:
Please send feedback to sig-contributor-experience at kubernetes/community. /lifecycle stale |
/remove-lifecycle stale |
What would you like to be added:
I would like to support the ML pipeline toolkit, Kubeflow Pipelines.
Why is this needed:
The Kubeflow Pipelines is the production-grade MLOps pipeline that is widely known and used in many productions.
Completion requirements:
This enhancement requires the following artifacts:
The artifacts should be linked in subsequent comments.
The Kueflow Pipelines internally uses the Argo workflow's Emissary Executor. So, although we may be able to support the kubeflow pipelines once we resolve #74, we need to investigate whether or not we need to implement some features/controllers for this integration.
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