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enco's Issues

How to generate/create the interventions

Dear Authors,
Thank you for sharing complete and comprehensive code of the article. I have some questions.

  1. I want to apply this model on the fMRI data, so I only have observational data/graph (num_time * num_var), and don't have interventional data.
  2. Can I run this model without interventional data or how could I generate the interventions on this kind of data.

Thanks a lot.
Warmest Regards,

convergence_guarantees_ENCO

sorry to bother,
but did u remove the file named 'convergence_guarantees_ENCO.ipynb'?
it's mentioned in the paper but cannot be found.

Exponentiating `log_var` twice in NLL function of `GaussianNoiseModel`

Hey,

I know you haven't applied your model to continuous data, but we have used the GaussianNoiseModel in one of our projects.

At

nll = - log_normal(x, y[...,0], torch.exp(y[...,1]))

you exponentiate the third argument, which is already exponentiated in
def log_normal(x, mean, log_var, eps=0.00001):
return - (x - mean) ** 2 / (2. * torch.exp(log_var) + eps) - log_var / 2. + c

This leads to y[..., 1] being exponentiated twice, which we think shouldn't.

Best,
Heiner

Missing SID metric

Hi, Phillip

Nice Work! But I didn't find the implementation of SID metric in your code, can you add it?
I found it in another R package, but it seems that the implementation is not good.
Thank you so much!

Best,
Wei.

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