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fix(sdk): visualizations and metrics do not work with data_passing_methods #6882
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Hi @juliusvonkohout. 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 Once the patch is verified, the new status will be reflected by the I understand the commands that are listed here. Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository. |
@juliusvonkohout: Cannot trigger testing until a trusted user reviews the PR and leaves an In response to this:
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository. |
@Bobgy is it possible for me to become a trusted user? |
/ok-to-test |
Ok, I just need to fix the expected test results pipelines/sdk/python/tests/compiler/testdata/artifact_passing_using_volume.yaml |
@juliusvonkohout you can request to join kubeflow org in https://github.com/kubeflow/internal-acls |
/retest |
So from my side is it ready to merge @chensun |
/lgtm Thanks! |
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: chensun The full list of commands accepted by this bot can be found here. The pull request process is described here
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…thods (kubeflow#6882) * Update _data_passing_using_volume.py * Update _data_passing_using_volume.py * Update _data_passing_using_volume.py * Update _data_passing_using_volume.py * Update _data_passing_using_volume.py * Update artifact_passing_using_volume.yaml * Update artifact_passing_using_volume.py * Update _data_passing_using_volume.py
* Update _data_passing_using_volume.py * Update _data_passing_using_volume.py * Update _data_passing_using_volume.py * Update _data_passing_using_volume.py * Update _data_passing_using_volume.py * Update artifact_passing_using_volume.yaml * Update artifact_passing_using_volume.py * Update _data_passing_using_volume.py Co-authored-by: juliusvonkohout <45896133+juliusvonkohout@users.noreply.github.com>
Description of your changes:
I made changes such that mlpipeline-ui-metadata and mlpipeline-metrics are always kept as artifacts, such that the webinterface can access and display them even if we use a kubernetes volume as data passing method.
@Bobgy we could also extend this to allow the user to specify additional outputs that should also be kept as artifacts.
Checklist: