def load_test_data(self, input_data_file=''):

        if (input_data_file == ''):
            input_data_file = os.path.normpath(os.path.join(os.path.join(os.getcwd(), os.path.dirname(__file__)), "dataset/pocket_pla_binary_test.dat"))
        else:
            if (os.path.isfile(input_data_file) is not True):
                print("Please make sure input_data_file path is correct.")
                return self.test_X, self.test_Y

        self.test_X, self.test_Y = utility.DatasetLoader.load(input_data_file)

        if (self.feature_transform_mode == 'polynomial') or (self.feature_transform_mode == 'legendre'):
            self.test_X = self.test_X[:, 1:]

            self.test_X = utility.DatasetLoader.featureTransform(
                self.test_X,
                self.feature_transform_mode,
                self.feature_transform_degree
            )

        return self.test_X, self.test_Y
Deletes everything in memcache.
dataset/ETHPy150Open fukuball/fuku-ml/FukuML/SupportVectorMachine.py/BinaryClassifier.load_test_data--crossover with--dataset/ETHPy150Open AppScale/appscale/AppServer/google/appengine/api/memcache/__init__.py/Client.flush_all