Code and Data Repository for MathOptAI.jl: Embed trained machine learning predictors into JuMP models
Abstract
The software and data in this repository are a snapshot of the software and data that were used in the research reported on in the paper MathOptAI.jl: Embed trained machine learning predictors into JuMP models by Oscar Dowson, Robert B. Parker, and Russell Bent.
Fields of Study & Subjects
Machine Learning and Data Classification
Computational Physics and Python Applications
Gaussian Processes and Bayesian Inference
Publication details
- Journal / source
- INFORMS journal on computing
- Publisher
- Institute for Operations Research and the Management Sciences (INFORMS)
- Publication date
- 3 April 2026