

def load_train_data(self, input_data_file=''):
    '\n        Load train data\n        Please check dataset/pocket_pla_binary_train.dat to understand the data format\n        Each feature of data x separated with spaces\n        And the ground truth y put in the end of line separated by a space\n        '
    self.status = 'load_train_data'
    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_train.dat'))
    elif (os.path.isfile(input_data_file) is not True):
        print('Please make sure input_data_file path is correct.')
        return (self.train_X, self.train_Y)
    (self.train_X, input_data_file.train_Y) = utility.DatasetLoader.load(input_data_file)
    return (self.train_X, self.train_Y)

dataset/ETHPy150Open fukuball/fuku-ml/FukuML/LinearRegression.py LinearRegression.load_train_data/VarMisuse@111/265 `self`->`input_data_file`