Summary
In this chapter, we discussed the importance of tracking hyperparameter tuning experiments, along with the usual practices. You were also introduced to several open source packages that are available and learned how to utilize each of them in practice, including Neptune, Scikit-Optimize, Optuna, Microsoft NNI, and MLflow. At this point, you should be able to utilize your favorite package to track your hyperparameter tuning experiment, which will boost the effectiveness of your workflow.
In the next chapter, we’ll conclude all the topics we have discussed throughout this book. We’ll also discuss the next steps you can take to expand your hyperparameter tuning knowledge.