How does MultipleLabelIterator work? How to apply resulting model(s)?
The MultipleLabelIterator applies its inner operator multiple times, changing the label each time. When used with a learning function, the learner is thus trained on each of the multiple labels.
Is the result a single model than can somehow be used to attached multiple labels to new data? If so, how? Or are we required to save each inner-loop model, then reload them to use them on new data?