MIML library: A modular and flexible library for multi-instance multi-label learning

MIML library is a Java software tool to develop, test, and compare classification algorithms for multiinstance 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, opensource, and available on GitHub under the GNU General Public License.(c) 2022 Elsevier B.V. All rights reserved.

Automated summary

The MIML library is a Java software tool for developing, testing, and comparing classification algorithms for MIML learning. It includes 43 algorithms, provides specific data management and partitioning formats, supports various evaluation methods, and allows algorithms to be executed through xml configuration files.