Closed stackprep9 closed 1 year ago
Hi @stackprep9 ,
What if you try to split your data and just pass that column for to generate Synthetic Data.
Please look the Collab link for demo SDV Question 1539
If this is not what you asked for Let me know.
Thanks, Majid
Hi @stackprep9, nice to meet you. If I understand correctly, there are a few columns that you want to keep as-is and you want to create new, synthetic values to the remaining columns? Could you help me better understand the usage (or a few more details about your project)?
The way to do this is:
FYI @majidliaquat, I took a look at the Colab notebook. Unfortunately, I'm not sure if this approach would work.
col3
and col1
because you are never passing in col3
into the fit
function).Let me know if you have any questions!
Hi @npatki yes I got it they generated data was not corelated as only we generte a apart of data. But I followed that method as I understood the question from @stackprep9.
Can we generate the synthetic data for only the selected columns and will get the synthetic data for that columns only and the remain columns will be same as the input data?
Thanks for clearification.
No problem! Thanks for sharing the notebook too. Very useful to see what you're experimenting with :)
Hi everyone, since this issue has been inactive for a while and we've provided some suggestions, I'm closing this off as answered. If there's anything more to discuss, feel free to reply and I can always reopen the issue.
Environment details
SDV version : 1.2.1 python version : 3.8.8 Operating System : MACOS
General question:
Can we generate the synthetic data for only the selected columns and will get the synthetic data for that columns only and the remain columns will be same as the input data?
If so , can you share any reference docs for that