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I am exploring your Causal Discovery Toolbox, and I am having some issues at the very start.
I.e., when I run the SAM example code outlined in the documentation, I receive a full undirected graph (all nodes connected to every other node) as a result. This seems odd, of course, as it is equivalent to the input. I adopted the example without any changes.
Long story short : SAM actually provides a graph with a confidence score for each edge ; so you need to filter out the low weight value edges to have a reasonable solution.
Maybe a should add a threshold parameter...
Hello!
I am exploring your Causal Discovery Toolbox, and I am having some issues at the very start.
I.e., when I run the SAM example code outlined in the documentation, I receive a full undirected graph (all nodes connected to every other node) as a result. This seems odd, of course, as it is equivalent to the input. I adopted the example without any changes.
SAM example here: https://fentechsolutions.github.io/CausalDiscoveryToolbox/html/causality.html#sam
Am I approaching this the wrong way?
Thanks for your help!
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