MIML library: a Modular and Flexible Library for Multi-instance
Multi-label Learning
- URL: http://arxiv.org/abs/2402.08056v1
- Date: Mon, 12 Feb 2024 20:46:47 GMT
- Title: MIML library: a Modular and Flexible Library for Multi-instance
Multi-label Learning
- Authors: \'Alvaro Belmonte and Amelia Zafra and Eva Gibaja
- Abstract summary: 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.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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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