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.
@article{arxiv.2402.08056,
title = {MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning},
author = {Álvaro Belmonte and Amelia Zafra and Eva Gibaja},
journal= {arXiv preprint arXiv:2402.08056},
year = {2024}
}