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py-why / dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
https://www.pywhy.org/dowhy
MIT License
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Evaluation Metrics for Causal Graphs #1085

Closed elakhatibi closed 6 months ago

elakhatibi commented 7 months ago

Hello,

I would like to know is there any evaluation metrics like SHD or SID for evaluating the causal discovery algorithms. If so, can you please send me the related sample notebook and the ground truth graphs.

I think I saw them before on this notebook:; however, cannot find it now https://github.com/py-why/dowhy/blob/main/docs/source/example_notebooks/dowhy_causal_discovery_example.ipynb

Looking forward to hearing from you.

Thanks a lot,

Best, Elahe

github-actions[bot] commented 7 months ago

This issue is stale because it has been open for 14 days with no activity.

bloebp commented 7 months ago

Hey, did you check the https://github.com/py-why/causal-learn package? They might have the relevant notebooks you are looking fore.

github-actions[bot] commented 6 months ago

This issue is stale because it has been open for 14 days with no activity.

github-actions[bot] commented 6 months ago

This issue was closed because it has been inactive for 7 days since being marked as stale.