def __call__(self, R):
        ranks = rankedFitness(R)
        return array([max(0., x) for x in log(len(R)/2.+1.0)-log(len(R)-array(ranks))])
dataset/ETHPy150Open pybrain/pybrain/pybrain/tools/rankingfunctions.py/HansenRanking.__call__/original