pipelines
https://github.com/kubeflow/pipelines
Python
Machine Learning Pipelines for Kubeflow
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- Issues
- [sdk] create_run_from_pipeline_func does not validate argument names
- [feature] Migrate backend logging from unstructured `glog` to structured logging
- [sdk] add_init_container does not reject reserved oci-prepull-<N> names, causing silent runtime failure with Modelcar artifacts
- [sdk] Missing Support for Pod Affinity and Anti-Affinity in Python SDK
- [backend] IS_SUBSTRING list filters treat % and _ as SQL wildcards
- fix(backend): use request context instead of context.TODO() in driver k8s calls
- [feature] Support version_name, version_display_name, and version_description query parameters in upload_version REST endpoint
- fix(frontend): distinguish pod lifecycle failures from pipeline errors
- [feature] Native Resource Auto-Tuning (VPA) Support for Pipeline Tasks
- [backend] `--publish_logs` flag is silently duplicated in the launcher command when log publishing is enabled
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- Python not yet supported