Carles Sala

@kevinykuo I totally agree on exposing as many hyperparameters as possible, but I have some doubts about the subsampling, since this is something that could be easily done by the...

> @csala what do you think? I can see the use of this for CTGAN, but I’m not sure if it’s applicable to SDV as well. Well, the interesting thing...

I like the idea behind your suggestion, @kevinykuo , of moving the `epochs` argument to the `fit`method and allowing one to resume a previous fitting process (see https://github.com/DAI-Lab/CTGAN/issues/5#issuecomment-558707986). However, doing...

I lean towards just returning a DataFrame with no rows in it rather than throwing an error.

I think that this has some overlap with #361 Maybe we could close the other one, and open another issue for the extra types

This looks more like an invalid input problem (if there is only one data point, there is no sequence). We should confirm that this is still a problem and then...

Great suggestion, @ludovicc ! We could definitely look at adding options to load them into our Metadata class.

Python3.5 has already been dropped, but Python3.9 still needs to be added. The changes involved are: - [ ] Change the `setup.py` python specifications - [ ] Review the dependency...

Hi @akarpf thanks for opening this issue. It looks like this could be achieved by writing your faker provider in a module and registering it globally. For example, I can...

Let's also keep this issue open to add support for custom providers directly within SDV without having to follow the workaround explained above. I think that it would be interesting...