pipelines
https://github.com/kubeflow/pipelines
Python
Machine Learning Pipelines for Kubeflow
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- Issues
- feat: include the experiment ID as a label within the compiled Argo Workflow (AWF) manifest
- test(frontend): reject incomplete visual captures. Part of #14572
- fix(compiler): restore loop argument identity after string interpolation.
- [backend] Pipeline channel placeholders in formatted string cannot be substituted correctly
- chore(testing): add native runtime API disruption coverage
- [feature] Removal of KFP dependency in the Executor
- feat(backend,frontend): surface pod lifecycle failures in the KFP UI. Fixes #12843
- feat(sdk): support typing.Literal input parameters
- chore(swf): remove unused GCP auth import, add health and readiness probes, graceful shutdown
- fix(backend): require trusted schedule state for 3.0 upgrades
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