def __deleteOutputCache(self, modelID):
<EOL>if modelID == self._modelID and self._predictionLogger is not None:<EOL><INDENT>self._predictionLogger.close()<EOL>del self.__predictionCache<EOL>self._predictionLogger = None<EOL>self.__predictionCache = None<EOL><DEDENT>
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:
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modelID:      The id of the model whose output cache is being deleted