Technical requirements

To understand the examples in this chapter, the following key technical requirements are needed:

• Ray Tune 1.9.2: This is a flexible and powerful hyperparameter tuning framework (https://docs.ray.io/en/latest/tune/index.html).
• Optuna 2.10.0: This is an imperative and define-by-run hyperparameter tuning Python package (https://optuna.org/).
• The code for this chapter can be found in the following GitHub URL, which also includes the requirements.txt file that contains the preceding key packages and other dependencies: https://github.com/PacktPublishing/Practical-Deep-Learning-at-Scale-with-MLFlow/tree/main/chapter06.