Optimal Model Trees using OR-Tools
Project description
OptimalModelTree (OMT)
A mixed-integer optimization-based decision tree framework for classification and regression.
This package implements Optimal Model Trees (OMT), where the tree structure and prediction rules are learned jointly via a mathematical optimization model (MILP) using Gurobi.
🚀 Features
- Optimal decision tree construction via mixed-integer programming
- Supports:
- Classification (binary & multiclass)
- Regression
- Parallel and oblique splits
- Regularized models (L1-style sparsity control)
- Warm-start support for faster optimization
- Scikit-learn compatible API (
fit,predict)
📦 Installation
From PyPI
pip install optimal-omt
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