MEKA: A Multi-label/Multi-target Extension to WEKA
نویسندگان
چکیده
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.
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عنوان ژورنال:
- Journal of Machine Learning Research
دوره 17 شماره
صفحات -
تاریخ انتشار 2016