If the training set is a set of $n$-tuples, with discrete labels, one can standardly use multinomial logistic regression (softmax), but what if the target labels are pairs of discrete values, or more generally, an $m$-tuple of discrete values?
Is there any method I can use, or am I allowed to perform $m$ separate softmax regression classifications, for each target dimension?
