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Passing domain knowledge #4
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Oops, found it for PC. Must have overlooked it, sorry. I will try this out, but it would still be helpful to have the functionality for other algorithm types. |
Thanks for your feedback. Cause2e is a fantastic package! :) In the future, we will include 'background_knowledge' for other methods. We will update you when these functions are available. Thanks for your interest in causal-learn! |
Thanks a lot for the quick reply, sounds great! |
Hi @dg46, just a quick update :) We've re-implemented FCI. Now it includes the background_knowledge. Also, the speed of FCI has been improved a lot. |
Thank you for the update, I will give it a try! |
I am planning to get rid of Java dependencies in cause2e by replacing py-causal with causal-learn for the discovery step.
However, my applications require passing domain knowledge in the form of required or forbidden edges in the causal graph. Py-causal and Tetrad have a great interface for domain knowledge. Will this be included in causal-learn, too? In the docs, I have only found possibilities for LiNGAM-type models, but not for GES or PC.
Thanks for finally translating Tetrad to Python!
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