Then, I created the database that powers the machine learning algorithm and keeps track of the individual panels. Each panel got its own record, and I kept multiple other tables mapping relationships between panels. I created a voting system for individual panels, panel duets, and whole comics. Having never done a machine learning project, I was struggling to come up with a data structure that could store feedback on over two trillion potential 4-panel comics, so I ended up using a rather naive algorithm that records only provided data in a vector bitmap of each image, instead saving a polynomial mapping positive and negative correlations.