06499512a889d3dfe38e4a7e705ff09c7acd759d,GPflowOpt/acquisition/hvpoi.py,HVProbabilityOfImprovement,__init__,#HVProbabilityOfImprovement#,67

Before Change

        
        super(HVProbabilityOfImprovement, self).__init__(models)
        assert self.data[1].shape[1] > 1
        self.pareto = Pareto(np.hstack((m.predict_f(self.data[0])[0] for m in self.models)))
        self.reference = DataHolder(self._estimate_reference())

    def _estimate_reference(self):

After Change

        // Keep pareto empty for now - its updated in setup()
        self.pareto = Pareto(np.empty((0, num_objectives)))
        self.reference = DataHolder(np.ones((1, num_objectives)))

    def _estimate_reference(self):
        pf = self.pareto.front.value

Instances