def prob_classify(self, featureset):
        if overridden(self.prob_classify_many):
            return self.prob_classify_many([featureset])[0]
        else:
            raise NotImplementedError()
:return: a probability distribution over labels for the given
dataset/ETHPy150Open nltk/nltk/nltk/classify/api.py/ClassifierI.prob_classify