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Project description

opt-sugar is a Python package meant to make the optimization operation (OptOps) tasks easier by providing the building block need to use mlflow for experimentation in the field of mathematical optimization.

The project was started in oct 2022 by Juan Chacon.

Installation

Dependencies

opt-sugar requires:

  • Python (>= 3.8)

  • NumPy (>= 1.23.2)

  • GurobiPy (>= 9.5.2)

  • ScikitLearn (>= 1.1.2)

User installation

If you already have a working installation all the dependencies, the easiest way to install opt-sugar is using ..

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opt_sugar-0.0.4.tar.gz (3.2 kB view details)

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