7281b68353fa8f9263e071716ac5081df5168f59,pgmpy/inference/ExactInference.py,VariableElimination,_variable_elimination,#VariableElimination#Any#Any#Any#Any#,9

Before Change

            return set(all_factors)

        eliminated_variables = set()
        working_factors = {node: [factor for factor in self.factors[node]]
                           for node in self.factors}

        // TODO: Modify it to find the optimal elimination order

After Change

        // Dealing with evidence. Reducing factors over it before VE is run.
        for evidence_var in evidence:
            for factor in working_factors[evidence_var]:
                factor_reduced = factor.reduce("{evidence_var}_{state}".format(
                    evidence_var=evidence_var, state=evidence[evidence_var]), inplace=False).normalize()
                for var in factor_reduced.scope():
                    working_factors[var].remove(factor).add(factor_reduced)

        // TODO: Modify it to find the optimal elimination order

Instances