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We have a similar ongoing issue in which mlpipeline-metrics from custom Python function are not displayed in Kubeflow UI. Since team is already working on this issue, I will present this feature request for Vertex AI too and update this issue once we have an update. Thank you for the feature request!
@1025KB, Please take a look into this feature request for custom visualization in Vertex AI.
If the feature is related to a specific library below, please raise an issue in
the respective repo directly:
TensorFlow Data Validation Repo
TensorFlow Model Analysis Repo
TensorFlow Transform Repo
TensorFlow Serving Repo
System information
(Linux/MacOS/Windows), Interactive Notebook, Google Cloud, etc..): Vertex AI
Describe the feature and the current behavior/state.
As we can check in this link here, Vertex AI supports the markdown and html visualization, but TFX doesn't.
I think it can be supported via adding artifact types, but I'm not sure. (KFP HTML/Markdown Artifact types:
https://github.com/kubeflow/pipelines/blob/834d966033ebb8284981e86b831c2bb086ef30ba/sdk/python/kfp/components/types/artifact_types.py#L472-L503)
Will this change the current API? How?
Who will benefit with this feature?
The people who want to visualize custom component output in Vertex AI.
Do you have a workaround or are completely blocked by this?
Name of your Organization (Optional)
Any Other info.
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