How to cope with new/unseen targets classes in incremental learning algorithms According to scikit-learn documentation1, the sklearn incremental learner itself may be unable to cope with new/unseen targets classes. Is there any available python machine learning library which support this functionality?
Scikit-multiflow is a package designed for incremental learning for multi-output/multi-label problems.