Python Interface Documentation

The IAI Python Interface provides access to the IAI modules in Python. This documentation includes:

• installation information for the interpretableai Python package
• Python versions of the quick start guides showing the IAI modules in action:
  • Optimal Trees:
    • Optimal Classification Trees
    • Optimal Regression Trees
    • Optimal Survival Trees
    • Optimal Prescription Trees
    • Optimal Policy Trees with Categorical Treatment
    • Optimal Policy Trees with Numeric Treatment
    • Optimal Policy Trees with Survival Outcome
    • Multi-task Optimal Classification Trees
    • Multi-task Optimal Regression Trees
  • Optimal Imputation
  • Optimal Feature Selection:
    • Optimal Feature Selection for Classification
    • Optimal Feature Selection for Regression
  • Heuristics:
    • Heuristic Classifiers
    • Heuristic Regressors
    • Heuristic Survival Learners
• a primer on the main differences between Python and Julia when using the IAI modules
• a data preparation guide detailing how to format your dataset in Python to work with IAI modules
• a guide for model deployment using a lightweight prediction API
• the Python Interface API reference