Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}

Last update: Dec 27, 2022

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Deep Learning CombOptNet

Overview

CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints

Installation

Run pipenv install (at your own risk with --skip-lock to save some time).
From within the pipenv environment run python3 -m pip install -i https://pypi.gurobi.com gurobipy.
Obtain a license and download/set it.
Download and extract the datasets.

Usage

For [experiment] = knapsack or [experiment] = static_constraints:

Set the base_dataset_path parameter in experiments/[experiment]/base.yaml.
In case of static constraints: set the dataset_specification parameter in experiments/static_constraints/base.yaml
Run python3 main.py experiments/[experiment]/[method].yaml.

Owner

Autonomous Learning Group

GitHub Repository

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