then an Augmented unlabeled sample X hat again and and you've got the same transformation function Q that you had in the supervised setting and so really what you're trying to do is in this case minimize the divergence or the the difference between these two probability distributions so you're trying to normalize or regularize the predictions on the Augmented samples to have similar class distributions to to the unag mented unlabeled data does anyone have any questions here doesn't minimizing this minimize they