Srini Kadamati

Results 111 comments of Srini Kadamati

Hi @wilcovanvorstenbosch I tried to reproduce this issue with a fake dataset (with a few thousand rows) but wasn't able to unfortunately. My fake dataset with lots of missing values...

@wilcovanvorstenbosch > Does it retain correlations between attributes Definitely - all of our synthesizers try our best to learn statistical patterns between columns. In fact, we actually include the correlation...

Hi there @PhiThe 👋 We're a small team generally focused on making it easier for organizations to generate synthetic data (https://sdv.dev/). We also prioritize features based on community interest. So...

Hi @SivaKrishna-1996 👋 Do you mind sharing more about your use case or project goals? That will help us provide better guidance! > 1. Why the PAR model is not...

When you're reasoning about what PAR Synthesizer will do, I recommend thinking primarily in terms of sequences because PAR internally models closer to the sequence level not the 'total dataset'...

Hi @SivaKrishna-1996 if you check out our SDV documentation, you can see which synthesizers require SDV Enterprise (there's a * next to the name): https://docs.sdv.dev/sdv/multi-table-data/modeling/synthesizers In general, we keep this...

Hi there @SivaKrishna-1996 it's been a little while since we've heard from you so I'm going to move forward with closing this issue out! If you have more questions or...

Hi @Veeresh1996 I work with Neha, hope you don't mind me stepping in here. 1. The purpose of an ID column is to **uniquely identify rows**. In the multi-table context,...

Hi @Veeresh1996 it's been a while since we've had some activity here on this issue so I'm going to go ahead and close it out. If you have more questions...

Thanks for raising this @MichaelG-Uke I ran into an error during the `synthesizer.fit(df)` step itself: **Did you run into your error during fit or during sampling?**