understand the algorithm the consistency regularization it applies uh data augmentation to semi supervised learning by leveraging the idea that a classifier should output the same class distribution for an unlabeled example even after it has been augmented in other words labels should not change when noise is added the model called pi model is used mixmatch utilizes a form of consistency regularization through the use of standard data augmentation for images such as random horizontal flips and crops now the entropy minimization