pipelines
https://github.com/kubeflow/pipelines
Python
Machine Learning Pipelines for Kubeflow
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- Issues
- fix(backend): decouple metric name from SQL column in list page token
- [feature] Support PV/PVCs as an alternative to Object Storage for KFP
- docs: KEP for static fan-in of task outputs
- [feature] allow jobs to fail
- [sdk] can't directly use image as a parameter in ContainerSpec (need to cast to string)
- feat(api): make runtime artifact writes replay-safe
- feat(backend): enforce terminal-run immutability
- chore(persistence-agent): remove unused GCP auth import, add health and readiness probes, graceful shutdown
- docs: add KEP for importing models from Model Registry by name. Part of #13323
- feat(backend): establish MLMD migration contract and fixtures
- Docs
- Python not yet supported