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ironcrypto avatar ironcrypto commented on May 24, 2024

Hello @qbphilip
Any chance I get get an answer or help on this?
Thank you

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mingli2607 avatar mingli2607 commented on May 24, 2024

Same problem when I do intervention on a little large dataset. Some nodes can be queried easily while some cannot be.

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qbphilip avatar qbphilip commented on May 24, 2024

@ironcrypto Could you replicate this on a minimum example, e.g. on a small synthetic dataset?

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ironcrypto avatar ironcrypto commented on May 24, 2024

@qbphilip yes I think so. Do you have such dataset or should I create it?

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SteveLerQB avatar SteveLerQB commented on May 24, 2024

Hi @ironcrypto, it would be great if you could provide us this dataset to debug this. Thanks :)

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ironcrypto avatar ironcrypto commented on May 24, 2024

@SteveLerQB
Sure. here attached the Notebook and the dataset to reproduce.
You will see that I interrupted the last two instructions of Do-Calculus as an effect of very high latency.
I would be curious to see if you get the same problem or if error is on my side. Maybe a bad discretization policy? I doubt because it is pretty simple though.

github_qb_bug_45.zip

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ironcrypto avatar ironcrypto commented on May 24, 2024

Hi @SteveLerQB @qbphilip
Have you been avale to reproduce the bug or do you observe the same latency?
Thank you

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FrancescaSogaroQB avatar FrancescaSogaroQB commented on May 24, 2024

thank you @ironcrypto for reporting this. This is also linked to issue #100. The above has been fixed with this commit will be available in the next CausalNex release.

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