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test: Add enhanced ML workflow pipeline for integration tests

Open voodoovampire opened this issue 1 month ago • 3 comments

Description of your changes:

  • Created enhanced_artifact_pipeline.py with realistic ML workflow
  • Includes data processing → training → evaluation components
  • Features proper inputs/outputs and data flow between tasks
  • Improves test coverage without significantly increasing duration
  • Addresses issue #12017

Checklist:

voodoovampire avatar Nov 24 '25 20:11 voodoovampire

Hi @voodoovampire. Thanks for your PR.

I'm waiting for a kubeflow member to verify that this patch is reasonable to test. If it is, they should reply with /ok-to-test on its own line. Until that is done, I will not automatically test new commits in this PR, but the usual testing commands by org members will still work. Regular contributors should join the org to skip this step.

Once the patch is verified, the new status will be reflected by the ok-to-test label.

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google-oss-prow[bot] avatar Nov 24 '25 20:11 google-oss-prow[bot]

[APPROVALNOTIFIER] This PR is NOT APPROVED

This pull-request has been approved by: Once this PR has been reviewed and has the lgtm label, please assign mprahl for approval. For more information see the Kubernetes Code Review Process.

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Approvers can indicate their approval by writing /approve in a comment Approvers can cancel approval by writing /approve cancel in a comment

google-oss-prow[bot] avatar Nov 25 '25 08:11 google-oss-prow[bot]

/ok-to-test

hbelmiro avatar Nov 25 '25 12:11 hbelmiro