How can I find the Bayesian network (of a survey data that I have) using python. I am planning to use the pgmpy library and test different structure learning algorithms (like: PC, Hill climbing, Tabu, K2.....) to find the network and dependencies of the variables. Can someone help me on how to start with that.
Bayesian Network Python
598 Views Asked by Salma AlBreiki At
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erdogant
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The bnlearn library can be useful in this case. There are many examples and a Colab notebook notebook. Disclaimer: I am the author of this library.
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You could also try pyAgrum (https://agrum.gitlab.io, https://pyagrum.readthedocs.io). Many notebooks can be found from http://webia.lip6.fr/~phw/aGrUM/docs/last/notebooks/.