TVAESynthesizer Model Details and Parameters about sdv

[srinify]

Hi there @pnimeesha

The SDV library got its start at MIT but is now shepherded by the DataCebo team. Our focus at DataCebo is to help enterprises create synthetic data.

Re: your questions about the math or the algorithms -- nearly all of the paper's authors are independent and not affiliated with DataCebo, so I'd recommend reaching out to them directly to get your questions answered about the intricacies of the models & techniques :)

Re: your questions around why some specific functionality isn't available (e.g. loss values aren't exposed for tinkering or not allowing changes in activation functions) we prioritize features based on the needs of teams & projects who are creating enterprise quality synthetic data. So we'd definitely love to learn more about your use case here for enterprise synthetic data if that's relevant!

For TVAE Synthesizer in particular, the code lives here: https://github.com/sdv-dev/CTGAN/ I recommend reading our license (https://github.com/sdv-dev/CTGAN/blob/main/LICENSE) and exploring any possible and relevant customizations

[pnimeesha]

Hi Srini,

Thank you for the reply!
I will mail the authors of the paper for the explanation and check out the code from git link.