treemind documentation

Contents:

• Getting Started with treemind
  • Installation
  • Key Features
• Usage
  • Setup Code
  • Initializing the Explainer
  • Counting Feature Appearances
  • Analyzing Features
• treemind Algorithm
  • 1. Prediction Phase
  • 2. Leaf Statistics for Each Split Node
  • 3. Calculation of Expected Value
  • 4. Difference from Mean
  • 5. Feature Interactions
  • 6. Multiclass Classification
  • 7. Categorical Features
  • 8. Back Data Integration
  • 9. Mathematical Limitations and Practical Considerations
• Performance
  • Evaluating treemind’s Performance
  • Experiment 0
  • Experiment 1
  • Experiment 2
  • Experiment 3
  • Experiment 4
• API Reference
  • treemind.Explainer
  • treemind.plot