Experiment management and benchmark tools for mathematical optimization
Project description
JijBench: An Experiment and Benchmark Management Library for Mathematical Optimization
JijBench 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, JijBench provides features such as saving optimization results, automatically computing benchmark metrics, and offering visualization tools for the results.
Primarily supporting Ising optimization problems, JijBench plans to extend its support to a wide range of optimization problems, such as MIP solvers, in the future.
Installation
JijBench can be easily installed using pip.
pip install jijbench
Documentation and Support
Documentation: https://jij-inc.github.io/JijBench/
Tutorials will be provided in the future. Stay tuned!
How to Contribute
See CONTRIBUITING.md
Copyright (c) 2023 Jij Inc.
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