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

Before Change

        <networkx.classes.graph.Graph at 0x7f34ac8c5160>
        
        // If the elimination_order list is incomplete, raise an error
        if len(elimination_order) < len(self.variables):
            raise ValueError("Elimination order incomplete")
        // If the elimination_order list is incomplete, raise an error
        if set(elimination_order) != set(self.variables):
            raise ValueError("Set of variables in elimination order"
                             " different from variables in model")

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