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machine-learning-exchange
Current limitations for auto-generated pipelines for component
Is your feature request related to a problem? Please describe. Here is the list of limitations for the current code generation:
- Description is required in MLX, but optional in KFP
- MLX only can pass parameters as string type. If KFP component has non-string type, the pipeline will have type errors in the arguments.
- Component parameter names need to be sanitized as Python variable. (https://github.com/kubeflow/pipelines/blob/master/components/git/clone/component.yaml)
- MLX converted double quote
"into single quote'for all the parameter values. This doesn't work for some components when users need to pass in JSON string with double quote around their keys and values. (e.g. https://github.com/kubeflow/pipelines/blob/master/components/contrib/json/Combine_lists/component.yaml)
Describe the solution you'd like A clear and concise description of what you want to happen.
Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.
Additional context Add any other context or screenshots about the feature request here.
I think 3 and 4 should be easier to fix. 1 and 2 is nice to have but could be difficult to cover all the edge cases.