def predictProba(self, message):
        featVec = self._vectorizer.transform([message])
        df = self._classifier.decision_function(featVec)
        prb = platt.SigmoidPredict(df, self._plattModel)
        probaDic = {}
        probaDic['pos'] = prb
        probaDic['neg'] = 1 - prb
        return probaDic
dataset/ETHPy150Open dssg/ushine-learning/dssg/classifier.py/DssgBinaryClassifierSVC.predictProba/original