teras.losses.ctgan_discriminator_loss#
- teras.losses.ctgan_discriminator_loss(y_pred_real, y_pred_generated)[source]#
Loss for the Discriminator model in the CTGAN architecture.
CTGAN is a state-of-the-art tabular data generation architecture proposed by Lei Xu et al. in the paper, “Modeling Tabular data using Conditional GAN”.
- Reference(s):
- Parameters:
y_pred_real – Discriminator’s output for real samples
y_pred_generated – Discriminator’s output for generated samples
- Returns:
Discriminator’s loss.