ca25da7c55ba436ab557410d5f2e2e9b557d2840,pgmpy/models/MarkovModel.py,MarkovModel,to_junction_tree,#MarkovModel#,412

Before Change

        all_vars = set(self.nodes())

        for node in clique_trees.nodes():
            marginalised_nodes = all_vars - set(node)
            factor_copy = factor.marginalize(list(marginalised_nodes),
                                             inplace=False)
            clique_trees.add_factors(factor_copy)

After Change

        clique_trees = JunctionTree(nx.minimum_spanning_tree(complete_graph).edges())

        // Check whether the factors are defined for all the random variables or not
        all_vars = itertools.chain(*[factor.scope() for factor in self.factors])
        if set(all_vars) != set(self.nodes()):
            ValueError("Factor for all the random variables not specified")

Instances