Welcome to the WoodTapper documentation!

User-friendly and scalable Python package for tapping decision tree ensembles

WoodTapper is a machine learning toolbox for investigating tree-based models. In this documentation you will find examples to be quickly getting started as well as some more in-depth example.

Installation

Getting started.

Tutorials

The mathematical formulation of WoodTapper modules are available here.

Example tutorials are also available for each module:

• Tutorials for Rules Extraction
• Tutorials for Example-based Explainability

What's in there ?

Here is a quick overview of the different functionalities offered by WoodTapper. Further details are given in the rest of the documentation.

Rules Extractors

• Classification Rules Extractors
• Regression Rules Extractors

Example Explanation

• Classification Example Explanation
• Regression Example Explanation