Chapter 12: Advanced Topics with MLflow
In this chapter, we will cover advanced topics to address common situations and use cases whereby you can leverage your MLflow knowledge by using different types of models from the ones exposed in the rest of the book, to ensure a breadth of feature coverage and exposure to assorted topics.
Specifically, we will look at the following sections in this chapter:
- Exploring MLflow use cases with AutoML
- Intergrating MLflow with other languages
- Understanding MLflow plugins
We will represent each of the cases with a brief description of the problem and solutions in a pattern format—namely, a problem context and a solution approach.
The different sections of this chapter don't present continuity as they address different issues.
