code: def predict_unseen(self, times, config):
      """
      predict the loss of an unseen configuration
  
      Parameters:
      -----------
  
      times: numpy array
          times where to predict the loss
      config: numpy array
          the numerical representation of the config
  
      Returns:
      --------
  
      mean and variance prediction at input times for the given config
      """
      raise NotImplementedError()
  
label_desc: Use image node_id 2 for calling the LCModel obj's underlying member method code with example usage: obj.predict_unseen(times, config) without return types