GOBNILP is a score based method using integer linear programming (ILP) for learning an optimal DAG
for a Bayesian network with limit on the maximal number of parents for each node. It is a two-stage approach where candidate parent sets for each node are discovered in
the first phase and the optimal sets are determined in a second phase.

.. important:: 

  This module only works on the AMD64 architecture.