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Does metadata.Model persist trained model to object storage?
/kind feature
Describe the solution you'd like [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="[email protected]",
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.]
/kind question /area engprod /priority p2