docs: def _build_predict(self, Xnew, full_cov=False):
          """
          Xnew is a data matrix, point at which we want to predict
  
          This method computes
  
              p(F* | (F=LV) )
  
          where F* are points on the GP at Xnew, F=LV are points on the GP at X.
  
          """
          mu, var = conditional(Xnew, self.X, self.kern, self.V,
                                full_cov=full_cov,
                                q_sqrt=None, white=True)
          return mu + self.mean_function(Xnew), var