A python library for decision tree visualization and model interpretation. Decision trees are the fundamental building block of gradient boosting machines and Random Forests(tm), probably the two most popular machine learning models for structured data. Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. The visualizations are inspired by an educational animation by R2D3; A visual introduction to machine learning. Please see How to visualize decision trees for deeper discussion of our decision tree visualization library and the visual design decisions we made.
Features
- Supports scikit-learn, XGBoost, Spark MLlib, LightGBM, and Tensorflow. See Installation instructions
- Sample Visualizations
- Prediction path explanations
- Leaf information
- Documentation available
- Verify graphviz installation
- Install dtreeviz locally
Categories
Machine LearningLicense
MIT LicenseFollow dtreeviz
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of dtreeviz!