causal-learn
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multi-threading support
I found algorithm takes a long time to run, maybe should add multi-threading support
Yes, you are totally right. At the same time, regarding some tests, the theoretical guarantees might not hold when being performed in a parallel manner. Please feel free to let us know if you have any proposals on adding multi-threading support, which will certainly be greatly appreciated :)
I found on Macbook M2, fisherz can reach 550-700% CPU, is it a single thread algorithm?
I find https://github.com/cmu-phil/tetrad which support multi-threading