Description
Real business data is private yet models need realistic data for training and testing. CTGAN uses a conditional GAN to generate synthetic tabular data.
It learns the source distribution and produces statistically similar data for privacy, testing and augmentation.
Synthetic:Keeps distributions.
Conditional GAN:Discrete columns.
Privacy:No real records.
It learns the source distribution and produces statistically similar data for privacy, testing and augmentation.
Features
Synthetic:Keeps distributions.
Conditional GAN:Discrete columns.
Privacy:No real records.
