not only train our our classifier on these data points but on all the data points sort of in between the two and this is the mix of data points so this data point here might be constructed if this is a and this is B from zero point one times B right and plus 0.9 times a because it's mostly a and it's a little bit B and now you think what are the labels here if a belongs to class one and B belongs to class two then of course the label of this data point is zero point one times the class of B which is 2 plus 0.9 times the class of a