% implements Classify, return the predicted class for each row (we'll call each row x) in data
% by computing the posterior probability that x is in class 1 vs. class 2 then 
% these posterior probabilities are compared using the log odds.
function [predictions] = Classify(data, m1, m2, S1, S2, pc1, pc2)

  % TODO: calculate P(x|C) * P(C) for both classes

  % TODO: calculate log odds, if > 0 then data(i) belongs to class c1, else, c2
  
  % TODO: get predictions from log odds calculation
  
end % Function end