d68beca6f553622b92f2709cf984023dbf284e98,core/intentClassifier.py,IntentClassifier,__init__,#IntentClassifier#,15

Before Change

                    trainLabels.append([str(story.id)])
            else:
                continue
        self.Y = self.lb.fit_transform(trainLabels)

    def train(self):
        trainFeatures = []
        for labeledSentence in self.labeledSentences:

After Change

            raise Exception("NO_DATA")
        trainLabels = []
        self.labeledSentences = []
        self.trainLabels = []
        self.PATH = "models/intent.model"
        for story in stories:
            labeledSentencesTemp = story.labeledSentences
            if not isListEmpty(labeledSentencesTemp):

Instances