code: def __call__(self, data):
      assert hasattr(data, self._feature_name)
      feature = data[self._feature_name]
      if self._standardize:
          feature = (feature - feature.mean()) / (feature.std())
      else:
          feature = (feature - feature.min()) / (
              feature.max() - feature.min()
          )
      data[self._feature_name] = feature
      return data
  
label_desc: Use image node_id 2 for calling the NormalizeFeature obj's underlying member method code with example usage: obj.__call__(data) and returns: data