Can you set a random state for the sdv.tabular.ctgan.CTGAN.sample method?

[tjhallum]

SDV version: 0.11.0
Python version: 3.6.8
Operating System: Linux

When I use the CTGAN model's sample method, I'd like to be able to set a random state so that there's repeatability with regard to the synthetic observations generated by the model.

I'm imagining something along the lines of the random_state argument available in pandas pandas.DataFrame.sample method.

Does the capability to set a random state like this for CTGAN models currently exist? I don't see any arguments like that in the current documentation for CTGAN's sample method.

[tjhallum]

I found a workaround provided by @csala in #299 (comment).

In most cases, you can ensure reproducibility by fixing the numpy and torch seeds, as follows:

np.random.seed(SEED_VALUE)
torch.manual_seed(SEED_VALUE)