chziakas/backbone-learn
A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.
This tool helps data scientists and machine learning engineers build more understandable and scalable predictive models. It takes your raw dataset and helps identify the most crucial features or relationships, resulting in sparse regression models, decision trees, or clustering solutions that are both accurate and easier to interpret, even with very large datasets.
No commits in the last 6 months.
Use this if you need to train interpretable machine learning models like sparse regression, decision trees, or clustering on high-dimensional datasets and want a solution that balances speed, accuracy, and scalability.
Not ideal if your primary goal is maximum predictive accuracy at all costs, or if you prefer black-box models that don't prioritize interpretability or feature sparsity.
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Language
Python
License
MIT
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Last pushed
Jun 24, 2024
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