milearn: A Python Package for Multi-Instance Machine Learning

• URL: http://arxiv.org/abs/2512.01287v1
• Date: Mon, 01 Dec 2025 05:15:28 GMT
• Title: milearn: A Python Package for Multi-Instance Machine Learning
• Abstract summary: milearn is a Python package for multi-instance learning (MIL)<n>Special emphasis is placed on the key instance detection (KID) problem.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We introduce milearn, a Python package for multi-instance learning (MIL) that follows the familiar scikit-learn fit/predict interface while providing a unified framework for both classical and neural-network-based MIL algorithms for regression and classification. The package also includes built-in hyperparameter optimization designed specifically for small MIL datasets, enabling robust model selection in data-scarce scenarios. We demonstrate the versatility of milearn across a broad range of synthetic MIL benchmark datasets, including digit classification and regression, molecular property prediction, and protein-protein interaction (PPI) prediction. Special emphasis is placed on the key instance detection (KID) problem, for which the package provides dedicated support.

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