Experiment management and benchmark tools for mathematical optimization
Project description
MINTO: Jij Management and Insight tool for Optimization
minto is a Python library designed for developers working on research and development or proof-of-concept experiments using mathematical optimization. Positioned similarly to mlflow in the machine learning field, minto provides features such as saving optimization results, automatically computing benchmark metrics, and offering visualization tools for the results.
Primarily supporting Ising optimization problems, plans to extend its support to a wide range of optimization problems, such as MIP solvers, in the future.
Installation
minto can be easily installed using pip.
pip install minto
Documentation and Support
Documentation: https://jij-inc.github.io/minto/
Tutorials will be provided in the future. Stay tuned!
How to Contribute
See CONTRIBUITING.md
Copyright (c) 2023 Jij Inc.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
