Welcome to TE2Rules’ documentation!

TE2Rules (Tree Ensemble to Rules) is a Python library to explain Tree Ensemble Models by extracting a rule list from the trained model. It is an implementation of the TE2Rules algorithm introduced in the paper TE2Rules: Explaining Tree Ensembles using Rules and offers a simple and intuitive API.

Check out the Usage section for further information, including Installation of the project.

Note

This project is under active development.

Contents

• Usage
  • Installation
  • Explaining Tree Ensemble Models
    • explain()
    • explain_instance_with_rules()
    • get_fidelity()
• API
  • te2rules.explainer.ModelExplainer
    • ModelExplainer
      • ModelExplainer.__init__()