MEKA: A Multi label/Multi target Extension to WEKA
Multi label classification has rapidly attracted interest in the machine learning literature, and there are now a large number and considerable variety of methods for this type of learning. We present MEKA: an open source Java framework based on the well known WEKA library. MEKA provides interfaces to facilitate practical application, and a wealth of multi label classifiers, evaluation metrics, and tools for multi label experiments and development. It supports multi label and multi target data, including in incremental and semi supervised contexts.
J. Mach. Learn. Res.