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

TL;DR

srlearn is a Python library that enables the use of gradient-boosted statistical relational models with an interface similar to scikit-learn, facilitating learning and inference tasks in relational data.

Contribution

This work introduces srlearn, a novel Python library that adapts scikit-learn's interface for gradient-boosted statistical relational models.

Findings

Provides a user-friendly interface for relational models

Enables efficient learning and inference in relational data

Demonstrates practical applications through examples

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.