Comments (3)
Hi chengjun,
Thank you for your comment! Could you tell me which version you used?
We have moved the GIN to 'HiddenCausal'. So you can try to import GIN by 'from causallearn.search.HiddenCausal.GIN.GIN import GIN'.
Please let me know if there is any problem.
from causal-learn.
Hi, thanks for the question. We have just updated our document to make it consistent.
from causal-learn.
Hi, please feel free to let us know and reopen this issue if there is any further issue.
from causal-learn.
Related Issues (20)
- FCM lags suspicious results HOT 5
- PNL - Test2 HOT 3
- Data correlation matrix is singular HOT 5
- when will the Causal-Learn support causal evaluation HOT 2
- Reference PC stable HOT 1
- FCI implementation HOT 7
- Questions about is_dseparated_from HOT 3
- Using FCI with true graph known, specifying latent variables and background knowledge? HOT 8
- does this codebase support some recent causal discovery methods like, notears, dag-gnn,and so on HOT 2
- A potential Bug in GES.py HOT 1
- Null Hypothesis in Conditoinal Independence Tests HOT 2
- How to construct a causallearn.graph.Graph object from an numpy array? HOT 2
- Boostrap Utilities HOT 1
- Background knowledge not used correctly? HOT 1
- Implementation for CCI? HOT 1
- How to estimate the causal effect? HOT 1
- Different results with Tetrad and causal-learn implementations. HOT 6
- numpy version HOT 1
- Understanding the FCI outputs (graph vs. printed edges) HOT 3
- Handling Data with Interventions HOT 2
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