Evals for structure-prediction models

Evaluating discriminative models is relatively straightforward. In contrast, evaluating generative models is difficult. We can't just hold out a test set and predict labels and calculate accuracy, we need more sophisticated means to tell if our models are any good. We need to be able to focus in on things we really care about. In the case of generative models for protein structure that seek to…