def predict(self, entity, fields=None):
        panda = self.pandas[0]
        score = panda.predict(entity)
        if sign0(score) > 0:
            self.tigress.measure(entity, panda.name)
            monitor_accuracy(panda.name, self.creator, score, 'True')
            return panda.name
        else:
            self.tigress.measure(entity, cons.DEFAULT_NONE)
            monitor_accuracy(panda.name, self.creator, score, 'False')
            return cons.DEFAULT_NONE
dataset/ETHPy150Open xumiao/pymonk/monk/core/turtle.py/SingleTurtle.predict/original