title: Unique true/false loss for every sample
body: <p>For a binary prediction problem, if the true label is 0, the gain for right predict is T_0, the loss for wrong pre is F_0. The same for 1, T_1, F_1.</p>
  
  <p>Every sample has its unique T_0, T_1, F_0, F_1. I think I need to change eval metric, but I do not know how to do it. Because most of customized eval metric only input (pred, true label), do you know how can I solve the problem?</p>