Dear Tiago,
I am trying to understand the output of get_edges_prob when using it for spurious edges. What value is the routine returning? Am I getting the "likelihood" of the edge being spurious or the "likelihood" of it "actually" existing? Say, if I have two edges I am assuming to be spurious, "a" and "b", and edge "a" scores a higher likelihood ratio value than edge "b" (having used `s.get_edges_prob([],[a], entropy_args=dict(partition_dl=False))` and `s.get_edges_prob([],[b], entropy_args=dict(partition_dl=False))`). Is "a" more likely to be a spurious edge than "b" or is it the other way round (i.e. "a" being more likely to indeed exist than "b")? Best, Philipp
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