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Yea you are right, at least for these LiNGAM-based methods we could definitely visualize them in a similar way as follows:
from causallearn.search.FCMBased import lingam
model = lingam.ICALiNGAM()
model.fit(data)
from causallearn.search.FCMBased.lingam.utils import make_dot
make_dot(model.adjacency_matrix_, labels=labels)
We will include these usages into the doc, and preferably make the visualization way consistent with other methods. For ANM or PNL, the multivariate version could be a little bit more tricky, see e.g. https://proceedings.mlr.press/v177/uemura22a/uemura22a.pdf.
Hi there,
I noticed that the FCM methods don't produce a Graph object.
Why they are not following the other approach like in Constrained based and in Score Based?
Cheers.
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