Conditional generation during sampling in binary class case

[PradKalkar]

Hi. I was wondering if its possible to do conditional generation during sampling, i.e. I am currently having a binary classification task and I would like to specify how many rows with label 1 I need to generate and similarly for other label. This time, I would be providing rows belonging to both the classes while training the GAN. Is it possible to specify such a distribution during sampling so that I get desired number of positives and negatives?