pan5431333 / pyoptreeLinks
Python Implementation of Bertsimas's "Optimal classification trees". 
☆33Updated 5 years ago
Alternatives and similar repositories for pyoptree
Users that are interested in pyoptree are comparing it to the libraries listed below
Sorting:
- A package for tree-based statistical estimation and inference using optimal decision trees.☆41Updated last year
 - Born-Again Tree Ensembles: Transforms a random forest into a single, minimal-size, tree with exactly the same prediction function in the …☆66Updated 2 years ago
 - An algorithm for learning optimal decision trees, with Python interface☆67Updated 2 years ago
 - OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)☆33Updated 2 weeks ago
 - ☆33Updated 5 years ago
 - Optimal Sparse Decision Trees☆105Updated 2 years ago
 - Work from class 15.095 Machine Learning Under a Modern Optimization Lens at MIT taught by Dimitris Bertsimas and Martin Copenhaver☆45Updated 6 years ago
 - This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …☆56Updated 7 months ago
 - Generalized Optimal Sparse Decision Trees☆68Updated last year
 - Binary Programming Formulation for Learning Classification Trees Using Cplex☆12Updated 6 years ago
 - [IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library☆265Updated last year
 - ☆13Updated 4 years ago
 - Robust Stochastic Optimization Made Easy☆334Updated 11 months ago
 - Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
 - Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.☆359Updated 6 years ago
 - Extensible Combinatorial Optimization Learning Environments☆356Updated 6 months ago
 - Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…☆175Updated last month
 - Code for the paper "Smart 'Predict, then Optimize'"☆84Updated last year
 - An end-to-end framework for mixed-integer optimization with data-driven learned constraints.☆132Updated 2 years ago
 - A series of tutorials for conducting computational experiments with optimization solvers☆89Updated last year
 - The Machine Learning Optimizer☆105Updated 2 years ago
 - Functions that run an automated Instance Space analysis☆39Updated last year
 - Formulate trained predictors in Gurobi models☆240Updated this week
 - Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs☆36Updated 5 months ago
 - Conformalized Quantile Regression☆290Updated 3 years ago
 - Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆34Updated 4 years ago
 - Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees☆17Updated 2 years ago
 - An interactive framework to visualize and analyze your AutoML process in real-time.☆90Updated 3 weeks ago
 - Group Lasso implementation following the scikit-learn API☆107Updated last year
 - Empirical Model Learning Library☆19Updated 2 years ago