pipelines
https://github.com/kubeflow/pipelines
Python
Machine Learning Pipelines for Kubeflow
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- Issues
- docs: add high-level architecture diagrams
- feat(backend): add error and success operation metrics for ExperimentServer
- test(backend): run the MySQL migration claim test in backend CI. Fixes #15406
- test(backend): add regression coverage for ArchiveExperiment partial failures.
- bug(sdk): kubernetes add_node_affinity splits a string `values` into single characters
- bug(sdk): PipelineTask.ignore_upstream_failure() raises KeyError for components with unset default inputs
- [feature] Allow List[PipelineTask.output] or List[Component.output] for Fan-In Pipelines
- [feature] kfpv1->v2 sdk migration tool
- [feature] Use the user's local pip conf
- [feature] Trigger downstream pipeline on successful completion of upstream pipeline
- Docs
- Python not yet supported