def prob_classify(self, featureset):
        if overridden(self.prob_classify_many):
            return self.prob_classify_many([featureset])[0]
        else:
            raise NotImplementedError()
Modifying several rows at once, with a step (Row.update)
dataset/ETHPy150Open nltk/nltk/nltk/classify/api.py/ClassifierI.prob_classify--crossover with--dataset/ETHPy150Open PyTables/PyTables/tables/tests/test_tablesMD.py/UpdateRowTestCase.test04