我可以在sklearn中的自定义记分器函数中获得额外的信息吗？

from sklearn.metrics import accuracy_score

def custom_scorer(y_true, y_pred):
    # 计算准确率
    accuracy = accuracy_score(y_true, y_pred)
    
    # 计算特征的重要性
    feature_importance = calculate_feature_importance()
    
    # 构建包含额外信息的字典
    extra_info = {
        'accuracy': accuracy,
        'feature_importance': feature_importance
    }
    
    return extra_info

from sklearn.metrics import make_scorer

# 创建记分器对象
custom_scorer = make_scorer(custom_scorer)

# 使用记分器对象进行交叉验证
cross_val_score(estimator, X, y, scoring=custom_scorer)