def METHOD_NAME(predictions, gts, raw_df_lst, capacity,
                              output_len):
    """
    Desc:
        Some common metrics for regression problems
    Args:
        predictions:
        gts: ground truth vector
        raw_df_lst:
        settings:
    Returns:
        A tuple of metrics
    """
    all_mae, all_rmse = [], []
    for i in range(capacity):
        prediction = predictions[i]
        gt = gts[i]
        raw_df = raw_df_lst[i]
        _mae, _rmse = turbine_scores(prediction, gt, raw_df, output_len, 1)
        all_mae.append(_mae)
        all_rmse.append(_rmse)
    total_mae = np.array(all_mae).sum()
    total_rmse = np.array(all_rmse).sum()
    return total_mae, total_rmse