Technical requirements

The following requirements should be considered for this chapter as they will help you better understand the concepts, use them in your projects, and practice with the provided code:

• Python library requirements:
  • pytest >= 7.2.2
  • ipytest >= 0.13.0
  • mlflow >= 2.1.1
  • aif360 >= 0.5.0
  • shap >= 0.41.0
  • sklearn >= 1.2.2
  • numpy >= 1.22.4
  • pandas >= 1.4.4
• You will also require basic knowledge of model bias and the definition of bias measures such as the disparate impact ratio (DIR)

You can find the code files for this chapter on GitHub at https://github.com/PacktPublishing/Debugging-Machine-Learning-Models-with-Python/tree/main/Chapter08.