how to visualize the FCM based approaches
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Description
Hi there,
I noticed that the FCM methods don't produce a Graph object.
from causallearn.search.FCMBased import lingam
model = lingam.DirectLiNGAM(random_state=None, prior_knowledge=None, apply_prior_knowledge_softly=False, measure='pwling')
model.fit(dataset)
print(model.causal_order_)
print(model.adjacency_matrix_)
Why they are not following the other approach like in Constrained based and in Score Based?
Cheers.
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Research direction
Start with the FCM-based DirectLiNGAM example and compare its causal_order_ and adjacency_matrix_ outputs with the Graph objects used by constrained-based and score-based approaches. Determine whether the expected outcome is an explanation, documentation, or Graph support for FCM methods; done should clearly resolve that inconsistency for users.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100