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If so, we'd run into an issue if a component trains several models but only want one of those models as output (or it could be several evaluations, datasets, paths, etc). Perhaps the answer is documented elsewhere, but I've been unable to find it. I had assumed the v2 component I/O page might have that detail.
Could someone help me understand this or point me in the right direction? It would be greatly appreciated.
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In the code example here (https://www.kubeflow.org/docs/components/pipelines/sdk-v2/v2-component-io/#use-v2-component-decorator-for-python-function-based-components) the output that is specified is
Output[Model]
andOutputPath
. Its unclear what objects are going to be returned to these 2 outputs given there are no objects beingreturn
ed. How do we tell this code what those output objects are? Are they inferred?If so, we'd run into an issue if a component trains several models but only want one of those models as output (or it could be several evaluations, datasets, paths, etc). Perhaps the answer is documented elsewhere, but I've been unable to find it. I had assumed the v2 component I/O page might have that detail.
Could someone help me understand this or point me in the right direction? It would be greatly appreciated.
The text was updated successfully, but these errors were encountered: