Utilizing Tools and Packages for Active ML

In this chapter, we will discuss a range of Python libraries, frameworks, and tools commonly used in active ML. These resources are instrumental to implementing a variety of active ML techniques. The content of this chapter is structured to be informative and useful for individuals at different levels of expertise, from beginners to experienced programmers. The aim is to provide a solid understanding of the tools we will cover in order to effectively incorporate active ML techniques into your projects.

Throughout this chapter, the focus will be on understanding Python packages for active ML. We will use the popular Python libraries scikit-learn and modAL. You’ll learn about their functionalities and how they can be applied to active ML scenarios. We will also explore a range of active ML tools. In addition to the tools covered in previous sections of the book, this chapter will introduce some additional active ML tools. Each tool...