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py-why / dodiscover

[Experimental] Global causal discovery algorithms
https://www.pywhy.org/dodiscover/
MIT License
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Benchmarking PC/FCI algorithms #123

Open adam2392 opened 1 year ago

adam2392 commented 1 year ago

Helpful in general because we want code that is easily re-runnable that generates a summary benchmark.

We would like to do the following, where we generate a bunch of graphs and datasets from those graphs and varying i) the number of nodes and ii) the edge probability and then testing our implantation for:

We can vary the edge probability model to be Erdos-Renyi, Weighted-Edge-Degree, and any of the common networkx models.

Ideally, this suite of benchmark scripts is easy to plug in an alternative algorithm e.g. causal-learn, so we can explicitly run the same benchmarks side-by-side.

cc: @jaron-lee

adam2392 commented 1 year ago

We probably need a good simulation suite to make this "complete", but we can start off simple.