iiioiia t1_iz6m52s wrote
Reply to comment by YoungXanto in Causal Explanations Considered Harmful: On the logical fallacy of causal projection by owlthatissuperb
> 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)?
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)
bornofthebeach t1_izcfjfi wrote
Here's one from Microsoft! https://github.com/py-why/dowhy
iiioiia t1_izcg8ku wrote
That looks great, thank you!
Viewing a single comment thread. View all comments