97b2ccec94583a7876566a340f06e84a63340272,pgmpy/inference/ExactInference.py,VariableElimination,induced_graph,#VariableElimination#Any#,210

Before Change

        edges = []
        // add edges corresponding to each clique
        for clique in filter(lambda x: len(x) > 1, cliques):
            for i, j in itertools.combinations(clique, 2):
                edges.append((i, j))

        // Final induced graph

After Change

                working_factors[variable].append(list(phi))
            eliminated_variables.add(var)

        edges_comb = [itertools.combinations(c, 2) 
                      for c in filter(lambda x: len(x) > 1, cliques)]
        return nx.Graph(itertools.chain(*edges_comb))


class BeliefPropagation(Inference):

Instances