@staticmethod
def __scale(data, mean, std, process_cols_list):
    for i in process_cols_list:
        data.features[i] = np.around(((data.features[i] - mean[i]) / std[i]), 6)
    return data
@staticmethod
def __scale(data, mean, std, process_cols_list):
    for i in process_cols_list:
        data.features[i] = np.around(((data.features[i] - mean[i]) / std[i]), 6)
    return data