MEKA: A Multi-label/Multi-target Extension to WEKA

Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes
2016 Journal of machine learning research  
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,
more » ... including in incremental and semi-supervised contexts.
dblp:journals/jmlr/ReadRPH16 fatcat:kq3szfnlmbgffi36vmrm6htueu