CTGAN
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sdv-dev
Conditional GAN for generating synthetic tabular data.
What metrics could we apply to measure the likelihood of the generated data regarding the real data?
ctvae
Hi, Thank you for this awsome library. Do you plan to create a conditional tvae? Thank you! Pablo
see: https://developer.apple.com/metal/pytorch/ and feature request: https://github.com/sdv-dev/SDV/issues/1966#issuecomment-2225276381 I also added tests.
This adds the discriminator to model attributes. I found it strange to discard the trained discriminator after fitting as it can still be useful.
Without this check things like the sklearn.randomsampler run into an error, since they deepcopy the class before they call the fit method
This is an auto-generated PR with **latest** dependency updates.
When running the linting there are several warnings raised by the linter. ``` warning: The following rules have been removed and ignoring them has no effect: - PD901 warning: Invalid...
### Environment Details Please indicate the following details about the environment in which you found the bug: * CTGAN version: 1.25.0 (sdv) * Python version: 3.12.8 * Operating System: ###...
