code: def sampleset(self, factor_bbox=10.0, num=1000):
          
          w1, w2 = self.bounding_box(factor=factor_bbox)
  
          if self._n_models == 1:
              w = np.logspace(w1, w2, num)
          else:
              w = list(map(partial(np.logspace, num=num), w1, w2))
  
          return np.asarray(w)
docs: Return ``x`` array that samples the feature.
  
          Parameters
          ----------
          factor_bbox : float
              Factor for ``bounding_box`` calculations.
  
          num : int
              Number of points to generate.