Comments (4)
MAX00008888
commented on May 27, 2024
@kunwuz 请问一下怎么把产生的general graph 转换成 matrix的形式
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kunwuz
commented on May 27, 2024
Hi, you could try to use G.graph (G is a general graph) to output a matrix (https://github.com/cmu-phil/causal-learn/blob/ed86eb7bac8973caaf758ed4bb2e6f5ec7f37850/causallearn/graph/GeneralGraph.py#L38). And the explanation of endpoints could be found here: https://github.com/cmu-phil/causal-learn/blob/main/causallearn/graph/Endpoint.py)
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MAX00008888
commented on May 27, 2024
Thank you soooo much!!!!!! @kunwuz
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kunwuz
commented on May 27, 2024
You are welcome!
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Related Issues (20)
- [RFC, META-ISSUE] Complete continuous integration (CI) for unit-testing, documentation, and test coverage HOT 4
- QUESTION: To get DAG/Graph from FCM-based methods HOT 1
- Add Error Handling for cit.py line 165/166 HOT 3
- Derivation of the Fisher-z independence test HOT 1
- the direct of two nodes in adjacency matrix which is result of ICALiNGAM HOT 3
- Passing required domain knowledge using add_required_by_node HOT 3
- GeneralGraph.subgraph bug HOT 1
- math domain error HOT 6
- I could add cluster background knowledge HOT 2
- p-values for edges using FCI HOT 1
- operands could not be broadcast together with shapes error with GES HOT 1
- PC algorithm graph matrix syntax
- GES graph node names issue HOT 1
- PC algorithm logic HOT 2
- Generalized score with mixed data HOT 1
- Using background knowledge makes FCI algorithm slower HOT 4
- Using scoring function 'local_score_marginal_multi' on ges() function gives error HOT 5
- PC algorithm and Meek rules HOT 9
- FAS does not use required edges anymore HOT 3
- Question: Clarification on Edge properties from FCI algo HOT 4
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