tsoumakas/mulan

Mulan for Large Dataset

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Mulan is a single-threaded library for implementing multi-label classification; therefore, it only utilizes single core. I want to ask how can I utilize multiple-cores for large datasets. As it would takes weeks to implement MLC on large datasets. I request you to provide help on this issue.