Experiment management and benchmark tools for mathematical optimization

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  • License: MIT License (MIT)
  • Author: Jij Inc.
  • Requires: Python >=3.8, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.11.*
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JijBench: An Experiment and Benchmark Management Library for Mathematical Optimization

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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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  • License: MIT License (MIT)
  • Author: Jij Inc.
  • Requires: Python >=3.8, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.11.*
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