MIPLearn/CHANGELOG.md

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.4.3] - 2025-05-10

Changed

• Update dependency: Gurobi 12

[0.4.2] - 2024-12-10

Changed

• H5File: Use float64 precision instead of float32
• LearningSolver: optimize now returns (model, stats) instead of just stats
• Update dependency: Gurobi 11

[0.4.0] - 2024-02-06

Added

• Add ML strategies for user cuts
• Add ML strategies for lazy constraints

Changed

• LearningSolver.solve no longer generates HDF5 files; use a collector instead.
• Add _gurobipy suffix to all build_model functions; implement some _pyomo and _jump functions.

[0.3.0] - 2023-06-08

This is a complete rewrite of the original prototype package, with an entirely new API, focused on performance, scalability and flexibility.

Added

• Add support for Python/Gurobipy and Julia/JuMP, in addition to the existing Python/Pyomo interface.
• Add six new random instance generators (bin packing, capacitated p-median, set cover, set packing, unit commitment, vertex cover), in addition to the three existing generators (multiknapsack, stable set, tsp).
• Collect some additional raw training data (e.g. basis status, reduced costs, etc)
• Add new primal solution ML strategies (memorizing, independent vars and joint vars)
• Add new primal solution actions (set warm start, fix variables, enforce proximity)
• Add runnable tutorials and user guides to the documentation.

Changed

• To support large-scale problems and datasets, switch from an in-memory architecture to a file-based architecture, using HDF5 files.
• To accelerate development cycle, split training data collection from feature extraction.

Removed

• Temporarily remove ML strategies for lazy constraints
• Remove benchmarks from documentation. These will be published in a separate paper.

[0.1.0] - 2020-11-23

• Initial public release