def buildClassifier(self, trainFile):
        train = LibsvmFileImporter(trainFile).get_dataSet()
        self.__inst_train = train.get_numInstances()
        # no training needed
"builds" a classification model returning always 1 for each instance
dataset/ETHPy150Open whiskey/Machine-Learning/de/staticline/classification/dummys.py/Always1Predictor.buildClassifier