Sparse Structure Learning for Massive Datasets

[arainboldt]

Hi,

Great package. I really enjoy using it!

I'm working on a project with datasets where the number of variables is 3000+ for which a bayesian network would be ideal choice to model the data. Unfortunately, as we all know, structure learning for Bayes Nets is exponential and consequently, unfeasible for such a wide dataset.

In my research, I've come across this paper which looks very encouraging as a method for addressing the exponential complexity of structure learning.

Is there a straightforward way to implement the parent constraint method described in the paper using the existing structure learning framework in the package?

Any insights or direction is much appreciated

Thanks!

Andrew

[erdogant]

Thanks for your question. Did you already find a solution for this?