Hello,
This is definitely the good place to ask such a question.
AFAIK, we did not implement any specific multi-label classification
algorithm. To be honest, I'm not familiar with this topic and with how
exactly you formulate your problem (e.g. does all instance have exactly
two labels?). For instance, if you have n labels and each samples has
exactly two labels (among these 'n'), I guess that one option would be
to consider that this is a binomial(n,2)-class classification (one class
for each pair of labels) problem, and then to use a regular
binomial(n,2)-class classifier. The classification algorithms
implemented are listed in the user guide/tutorials of bob.
Cheers,
Laurent
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