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This ipynb file includes the synthcity implementation of pate-GAN, we can hyperparameter tune both the generator and the student (the discriminator) and adjust both the depth and the width of both the networks, The number of teachers getting reduced directly leads to better tstr results. 3 fold cross validation is done for the tstr results. When we have to change the dataset, whe just change the csv file name and the target columns name and the code works regardless of the dataset.

Signed-off-by: Shadan Khan <140972016+shadankhan108@users.noreply.github.com>
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