Imagine you have a real life system that can be thought of like:

A + B - > AB

And you have descriptors of both A and B. Ultimately you want to train a classifier that can predict for a given A and B whether they would in fact form AB or predict they don't go together.

Does anyone have any idea how to feature engineer the descriptors of A and B together in a way that more meaningfuly attempts to describe AB?