code: def _compute_acq(self,x):
           
          means, stds = self.model.predict(x)
          f_acqu = 0
          for m,s in zip(means, stds):
              f_acqu += -m + self.exploration_weight * s
          return f_acqu/(len(means))
docs: Integrated GP-Lower Confidence Bound