Summary
In this chapter, we summarized all of the hyperparameter tuning methods we’ve discussed so far in a simple decision map called HTDM. This can help you to choose which method is the most suitable for your specific problem. We also discussed several important notes for each of the hyperparameter tuning methods and saw how to utilize the HTDM in practice. From now on, you’ll be able to utilize HTDM in practice to help you decide which hyperparameter tuning method to adopt in your specific situation.
In the next chapter, we’ll discuss the need to track hyperparameter tuning experiments and learn how to do so using several open source packages.