In this chapter, we will cover how you can use MLFlow and Google Cloud to operationalize your models even without MLFlow providing explicit deployment support for Google Cloud.
More specifically, we will cover how to set up your Google Cloud bucket and virtual machine (used to run the server) and how you can operationalize and query your models.
Introduction
In the previous chapter, we went over how you can deploy your models to Microsoft Azure, manage them through update or delete events, and query them. This time, we will ...
