pyguide documentation

User Guide

• User Guide: The GUIDE Algorithm
  • Core Philosophy: The Two-Step Process
  • How it Works
  • Key Parameters
  • Variable Importance
  • Visualization
• Interaction Detection in pyguide
  • What is an Interaction?
  • The GUIDE Search Strategy
  • Tuning Interactions
  • Example: Forcing Interaction Search
• Tree Ensembles
  • Random Forest
  • Gradient Boosting

Examples

• Regression with GUIDE
  • 1. Single GUIDE Tree
  • 2. GUIDE Gradient Boosting
  • 3. Comparison with Random Forest
• Binary Classification with GUIDE
  • Train Gradient Boosting Model
  • Evaluation
  • Feature Importance
• Strict GUIDE Variable Importance
  • Synthetic Data Example
  • Calculate Importance Scores
  • Interpretation

API Reference

• pyguide
  • pyguide package

Indices and tables

• Index

• Module Index

• Search Page