Does metadata.Model persist trained model to object storage?

[Jeffwan]

/kind feature

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[A clear and concise description of what you want to happen.]

I am checking examples. Based on the API, looks like I need to save model to somewhere else and then log model uri there. Do we have plan to export model directly to storage?

    metadata.Model(
            name="MNIST",
            description="model to recognize handwritten digits",
            owner="someone@kubeflow.org",
            uri="gcs://my-bucket/mnist",
            model_type="neural network",
            training_framework={
                "name": "tensorflow",
                "version": "v1.0"
            },
            hyperparameters={
                "learning_rate": 0.5,
                "layers": [10, 3, 1],
                "early_stop": True
            },
            version="v0.0.1",
            labels={"mylabel": "l1"}))

Anything else you would like to add:
[Miscellaneous information that will assist in solving the issue.]

[jtfogarty]

/kind question
/area engprod
/priority p2