This topic shows you how to deploy the model using the predict.py
script from the Python template project.
The predict.py
script contains the predict
function
that accepts petal length as input and uses the model built in the previous step to
predict petal width.
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Navigate to the Iris project's page.
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Click New
Model and fill out the fields. Make sure you use the Python 3
kernel. For example:
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Deploy the model.
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Click on the model to go to its Overview page. As the model builds you can track progress on
the Build page. Once deployed, you can see the replicas deployed on
the Monitoring page.
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To test the model, use the Test
Model widget on the model's Overview page.