def _load_training_data()

in ncf.py [0:0]


def _load_training_data(base_dir):
    """ load training data """
    df_train = np.load(os.path.join(base_dir, 'train.npy'))
    user_train, item_train, y_train = np.split(np.transpose(df_train).flatten(), 3)
    return user_train, item_train, y_train