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srlearn: A Python Library for Gradient-Boosted Statistical Relational Models

Machine Learning 2019-12-19 v1 Artificial Intelligence Machine Learning
Authors: Alexander L. Hayes
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Abstract

We present srlearn, a Python library for boosted statistical relational models. We adapt the scikit-learn interface to this setting and provide examples for how this can be used to express learning and inference problems.

Keywords

software library

Cite

@article{arxiv.1912.08198,
  title  = {srlearn: A Python Library for Gradient-Boosted Statistical Relational Models},
  author = {Alexander L. Hayes},
  journal= {arXiv preprint arXiv:1912.08198},
  year   = {2019}
}

Comments

Ninth International Workshop on Statistical Relational AI (StarAI 2020). Software online at https://github.com/hayesall/srlearn

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