Chapter 10: H2O Model Deployment Patterns
In the previous chapter, we learned how easy it is to generate a ready-to-deploy scoring artifact from our model-building step and how this artifact, called a MOJO, is designed to flexibly deploy to a wide diversity of production systems.
In this chapter, we explore this flexibility of MOJO deployment by surveying a wide range of MOJO deployment patterns and digging down into the details of each deployment pattern. We will see how MOJOs are implemented for scoring on either H2O software, third-party software including business intelligence (BI) tools, and your own software. These implementations will include scoring on real-time, batch, and streaming data.
Recall from Chapter 1, Opportunities and Challenges ...
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