Data Processing with Optimus

Chapter 8: Machine Learning

Up to now, we have covered all the tools needed to create machine learning (ML) models from data cleaning, data exploration, and feature creation.

Now, we will explore how Optimus can help you easily create, evaluate, and use the most common ML algorithms in a line of code. This way, you won't have to use technologies other than Optimus.

So, in this chapter, we will learn about the following topics:

• Optimus as a cohesive application programming interface (API)
• Implementing a train-test split procedure
• Training models in Optimus

Technical requirements

Optimus can work with multiple backend technologies to process data, including graphics processing units (GPUs). For GPUs, Optimus uses the Real-Time Automated Personnel ...