I am trying to implement a collaborative filter predicting the outcome of a fight between Fighter 1 and Fighter 2, given previous fight outcomes.
However it seems that the algorithm is built for users and items, and not users and users.
Does fast.ai support this? Any feedback would be great!
-------------- Additional Info ----------------
I am using the following dataset : https://www.kaggle.com/mdabbert/ultimate-ufc-dataset?select=ufc-master.csv
My teammate and I have already built a tabular NN including all the columns to predict the Winner for the validation set.
While going through the lecture series I saw similarities between what the collab filter was achieving and our desired outcome, with the only difference being my dataset is user user prediction.
I have trimmed the dataset down to R_Fighter, B_Fighter and Winner for simplicity.