June 2022
Intermediate to advanced
384 pages
8h 5m
English
Content preview from Machine Learning on Kubernetes
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Chapter 7: Model Deployment and Automation
In the previous chapter, you saw how the platform enables you to build and register the model in an autonomous fashion. In this chapter, we will extend the machine learning (ML) engineering domain to model deployment, monitoring, and automation of deployment activities.
You will learn how the platform provides the model packaging and deployment capabilities and how you can automate them. You will take the model from the registry, package it as a container, and deploy the model onto the platform to be consumed as an API. You will then automate all these steps using the workflow engine provided by the platform.
Once your model is deployed, it works well for the data it was trained upon. The real world, ...
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