is to perform the same thing earlier which is supervised learning on label data set but with access to this extra unlabeled data that's coming from the same marginal so that's the assumption you make semi-square is learning which is that the unlabeled data is coming from the margin of the correspond to the same Joint Distribution that supervised materials coming from and assistant mathematical assumption in practice you can't really ensure that but your goal is to make sure that you can use this extra unlabeled data to perform your