CTGAN optimization (Memory Usage)

[MooooCat]

🚅Search before asking

I have searched for issues similar to this one.

🚅Description

In the current implementation of CTGAN, all training data will be loaded into memory at once, which will greatly increase memory consumption.

Thanks.

🏕Solution(optional)

When using csv files to store training data, the current implementation uses pd.dataframe to load the data once. I plan to load the batch data in CTGAN in real time, and load other batch data after the use is completed.

🍰Detail(optional)

There will be no parameter changes to the current implementation.

🍰Example(optional)

This optimized implementation will not change the existing example code.