pipelines
https://github.com/kubeflow/pipelines
Python
Machine Learning Pipelines for Kubeflow
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- Issues
- docs: propose platform exit handlers and resource usage reports
- feat(frontend): show recent run outcomes for each pipeline
- bug(sdk): local runner skips both dsl.If and dsl.Else branches when a condition compares a float with an int
- bug(sdk): local runner raises TypeError for an Optional[int] parameter that defaults to None
- [feature] Add progressive high level architecture diagrams for onboarding
- bug(sdk): AttributeError: 'Constant' object has no attribute 's' when parsing custom artifact types on Python 3.12+
- fix(backend): fence stale recurring-run reports by generation
- WIP: feat(backend): coordinate API server startup migrations across replicas. Fixes #15238
- feat(ci): add master merge queue validation
- bug(backend): Add integration tests for ArchiveExperiment partial failures
- Docs
- Python not yet supported