对于未分组的变量，是否有一个高效的Python实现用于Somers d？

import numpy as np
from sklearn.metrics import somersd

# 示例数据
y_true = np.array([1, 2, 3, 4, 5])
y_pred = np.array([1.2, 2.3, 3.1, 4.4, 5.5])

# 计算Somers' D
somers_d = somersd(y_true, y_pred)

print("Somers' D:", somers_d)