如何检索通向sklearn决策树的每个叶节点的完整分支路径？

import numpy as np
from sklearn.datasets import load_iris
from sklearn.tree import DecisionTreeClassifier

# 加载数据集
iris = load_iris()
X = iris.data
y = iris.target

# 训练决策树模型
clf = DecisionTreeClassifier()
clf.fit(X, y)

# 递归函数来检索叶节点的路径
def get_leaf_paths(tree, node_id, path):
    if tree.children_left[node_id] == -1:  # 叶节点
        paths.append(path)
        return
    feature = tree.feature[node_id]
    threshold = tree.threshold[node_id]
    left_path = path + [(feature, '<=', threshold)]
    right_path = path + [(feature, '>', threshold)]
    get_leaf_paths(tree, tree.children_left[node_id], left_path)
    get_leaf_paths(tree, tree.children_right[node_id], right_path)

# 获取所有叶节点的路径
paths = []
get_leaf_paths(clf.tree_, 0, [])

# 打印结果
for path in paths:
    print(path)