How can you train a GAN model using SciKit-Learn pipelines

Question

With the help of a proper explanation, can you tell me how you can train a GAN model using SciKit-Learn pipelines?

Answer 1

To train a GAN model using SciKit-Learn pipelines, you can define the generator and discriminator as sklearn.base.BaseEstimator and sklearn.base.TransformerMixin classes. Use a custom pipeline for sequential training. 

Here  is the code example you can refer to:

In the above code, we are using the following:

• Pipeline Design: Encapsulate generator and discriminator within sklearn.pipeline.Pipeline.
• Training: Use fit and transform methods for data processing and interaction between generator and discriminator.
• Integration: Enables GAN training within the familiar SciKit-Learn workflow.

Hence, by referring to the above, you can train a GAN model using SciKit-Learn pipelines