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iiioiia t1_iz6m52s wrote

> His do calculus is interesting, and he's highly influential in the machine learning literature, but he has a fair amount of detractors.

This is a completely uninformed question but I am curious: are there any ML libraries you know of that specifically address causality (like, chains of causality, not simply direct correlation)?

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YoungXanto t1_iz6vnu0 wrote

I can't think of any off the top of my head, but I'm sure there is a plethora out there depending on what you want to do. A good starting point for Google is "DAG" (directed acyclic graph) which are basically the basis of Pearl's framework (and wildly useful in many other contexts)

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