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For questions related to the multi-label classification problem, i.e. each example (or instance) can be labelled with more than one label.
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How to define a loss function for multi-label problem?
Given your response in the comments, you are faced with a semi-supervised learning problem where you have a small set of data with ground truth labels, and a large set of data without ground truth lab …