Technical requirements

The following requirements apply to this chapter as they help you better understand the concepts, allow you to use them in your projects, and to practice with the provided code:

• Python library requirements are as follows:
  • sklearn >= 1.2.2
  • numpy >= 1.22.4
  • pandas >= 1.4.4
  • alibi_detect >= 0.11.1
  • lightgbm >= 3.3.5
  • evidently >= 0.2.8
• Understanding of the following is required:
  • Data and concept drift
  • Data and model versioning

You can find the code files for this chapter on GitHub at https://github.com/PacktPublishing/Debugging-Machine-Learning-Models-with-Python/tree/main/Chapter11.