code: def __deleteOutputCache(self, modelID):
      
  
      # If this is our output, we should close the connection
      if modelID == self._modelID and self._predictionLogger is not None:
        self._predictionLogger.close()
        del self.__predictionCache
        self._predictionLogger = None
        self.__predictionCache = None
docs: Delete's the output cache associated with the given modelID. This actually
      clears up the resources associated with the cache, rather than deleting al
      the records in the cache
  
      Parameters:
      -----------------------------------------------------------------------
      modelID:      The id of the model whose output cache is being deleted