Convenient Interface to Inverse Ising (ConIII): A Python 3 Package for Solving Ising-Type Maximum Entropy Models

TL;DR

ConIII is an open-source Python package that simplifies solving Ising models and maximum entropy models, integrating multiple algorithms to make advanced techniques accessible and improve workflow efficiency.

Contribution

The paper introduces ConIII, a comprehensive Python package that unifies various algorithms for solving Ising and maximum entropy models, facilitating easier application and extension.

Findings

Implemented multiple algorithms including Monte Carlo histogram and pseudolikelihood.

Provides a user-friendly interface for maximum entropy models.

Accelerates research workflows in statistical modeling.

Abstract

ConIII (pronounced CON-ee) is an open-source Python project providing a simple interface to solving the pairwise and higher order Ising model and a base for extension to other maximum entropy models. We describe the maximum entropy problem and give an overview of the algorithms that are implemented as part of ConIII (https://github.com/eltrompetero/coniii) including Monte Carlo histogram, pseudolikelihood, minimum probability flow, a regularized mean field method, and a cluster expansion method. Our goal is to make a variety of maximum entropy techniques accessible to those unfamiliar with the techniques and accelerate workflow for users.