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Docs about how to write mlpipeline-ui-metadata and mlpipeline-metrics artifacts #660

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xiaozhouX opened this issue Jan 10, 2019 · 3 comments
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Docs about how to write mlpipeline-ui-metadata and mlpipeline-metrics artifacts #660

xiaozhouX opened this issue Jan 10, 2019 · 3 comments

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@xiaozhouX
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We can find that pipeline support argo artifact named /mlpipeline-ui-metadata.json and /mlpipeline-metrics.json, and some samples use it like confusion_matrix.py. The artifact is finally rendered by frontend.
Are there any docs about the scheme and format of the artifacts ?
@yebrahim
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There are docs sections here and here, do these have what you need?

@xiaozhouX
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There are docs sections here and here, do these have what you need?

yes, exactly. Thanks very much.

@yebrahim
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Great, closing this issue then.

HumairAK pushed a commit to red-hat-data-services/data-science-pipelines that referenced this issue Mar 11, 2024
@ScrapCodes
feat(sdk): Add pipelineloop validation for testdata yamls. (kubeflow#660
9d79f84 
)
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@yebrahim @xiaozhouX