LGAIMLDec 17, 2019

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

arXiv:1912.08198v1
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This provides a tool for researchers and practitioners working with statistical relational learning, but it is incremental as it builds on existing methods and interfaces.

The authors tackled the problem of implementing gradient-boosted statistical relational models by developing srlearn, a Python library that adapts the scikit-learn interface for learning and inference tasks.

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.

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