BackboneLearn Documentation

BackboneLearn: A Framework for Scaling Mixed Integer Optimization Problems with Indicator Variables to High-Dimensional Problems

Introduction

Welcome to the BackboneLearn documentation. This framework is designed to scale mixed integer optimization problems with indicator variables to high-dimensional problems, providing advanced tools and methodologies for researchers and developers. Here, you will find all the necessary information to get started, understand the core concepts, and effectively use or contribute to BackboneLearn.

Getting Started

• Installation
• Sparse Regression with L0BnB Model
• Decision Trees with BendersOCT Model
• Clustering with MIO Formulation Model

User Guide

• Overview
• What do we mean by indicators?
• Backbone Framework

Developer Guide

• Custom Implementation Guide
• Example Usage for Customized Backbone Algorithm

Contribution Guide

• Contributing to BackboneLearn
• Code of Conduct for BackboneLearn

API Documentation

• backbone_learn package
• backbone_learn.screen_selectors package
• backbone_learn.heuristic_solvers package
• backbone_learn.exact_solvers package

Indices and Tables

• Index

• Module Index

• Search Page