code: def load(cls, path):
          
          data = json.load(open(path))
  
          weights = data['weights']
          weights = np.asarray(weights, dtype=np.float64)
  
          s = cls(data['map_dimensions'],
                  data['params']['lr']['orig'],
                  data['data_dimensionality'],
                  influence=data['params']['infl']['orig'],
                  lr_lambda=data['params']['lr']['factor'],
                  infl_lambda=data['params']['infl']['factor'])
  
          s.weights = weights
          s.trained = True
  
          return s
docs: Load a SOM from a JSON file saved with this package..
  
          Parameters
          ----------
          path : str
              The path to the JSON file.
  
          Returns
          -------
          s : cls
              A som of the specified class.