optimizes anything else such as the number of samples as far as I know it's just finding the optimal policy for a particular data set the optimal augmentation transformation and okay so they also perform some experiments on imagenet and the the motivation here was they the first the initial data sets they use all had between two and ten classes so they wanted to and and and they all had a low number of supervised examples four thousand or less so they wanted to use a data set that had a hot much higher number of classes it's a bit