Srini Kadamati

Hi there @Vasanthpravin When you run `metadata.detect_from_dataframe(dp_pandas)`, SDV does a best-guess effort to automatically infer the metadata (and hence, the [sdtypes](https://docs.sdv.dev/sdv/reference/metadata-spec/sdtypes)) for all of your columns. However, this process isn't...

### Reported Example 1 **Out of regular memory error** https://github.com/sdv-dev/SDV/issues/1952 by @prupireddy ``` RuntimeError: [enforce fail at alloc_cpu.cpp:114] data. DefaultCPUAllocator: not enough memory: you tried to allocate 683656 bytes. ```...

### Reported Example 2 **Out of CUDA memory error** https://sdv-space.slack.com/archives/C01GSDFSQ93/p1713451980542979 by Isaac (Slack) Use Case: PAR for forecasting time series Scale of data: - 50k sequences - 45 rows per...

Hi there @liuup 👋 This is a neat idea and I'll leave this open as a feature request! We are a small team so we appreciate your patience as we...

Potentially related to https://github.com/sdv-dev/SDV/issues/1883

Hi @arfogg this is a great idea! We're going to work on adding DOI's for each version of our core libraries.

Closing out this issue since we have the other issue in SDV already. Let's use that for tracking instead!

Hey y'all! We've since added the ability to access the loss values from `CTGANSynthesizer` itself, documented here: https://docs.sdv.dev/sdv/single-table-data/modeling/synthesizers/ctgansynthesizer#get_loss_values I'm closing / resolving this issue. Also, I opened a new issue...

Hi there @wangrui9720 do you mind sharing a bit more about your use case? A few suggestions to consider: - [GaussianCopulaSynthesizer,](https://docs.sdv.dev/sdv/single-table-data/modeling/synthesizers/gaussiancopulasynthesizer) from SDV, is an alternative model that is significantly...

Hi there @weeebdev and @danielemolino 👋 This is a late reply but hoping it's still useful! - Curious to know the motivation behind using synthetic data if SMOTE is working...