Papers › MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning

MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning

12 Feb 2024arXiv:2402.08056archive 2025-07-28

Álvaro Belmonte, Amelia Zafra, Eva Gibaja

MIML library is a Java software tool to develop, test, and compare classification algorithms for multi-instance multi-label (MIML) learning. The library includes 43 algorithms and provides a specific format and facilities for data managing and partitioning, holdout and cross-validation methods, standard metrics for performance evaluation, and generation of reports. In addition, algorithms can be executed through xml configuration files without needing to program. It is platform-independent, extensible, free, open-source, and available on GitHub under the GNU General Public License.

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