code: def inverse_transform(self, X):
          
          X = check_array(X, copy=self.copy)
          X -= self.min_
          X /= self.scale_
          return X
docs: Undo the scaling of X according to feature_range.
  
          Note that if truncate is true, any truncated points will not
          be restored exactly.
  
          Parameters
          ----------
          X : array-like with shape [n_samples, n_features]
              Input data that will be transformed.