is it is distinct from fuschia learning in the sense that you don't have few examples of the thing you have few labeled examples there still needs to be a whole bunch of unlabeled examples of the thing that you're looking for so for example in this diagram if the only examples of class white and class black that I have to learn from are these two then the classifier boundary that I learn is just this vertical line that's as good as any classifier boundary that I might come up but if I have a whole bunch of other labeled data available to