The maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node. #Definition for a binary tree node.#class TreeNode(object):#def __init__(self, x):#self.val = x#self.left = None#self.right = NoneclassSolution(object):defmaxDepth(...
# Definition for a binary tree node # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None classSolution: # @param root, a tree node # @return an integer defmaxDepth(self, root): ifroot==None: return0 l,r=1,1 ifroot.left !
leetcode104 MaximumDepthOfTree classSolution():defmaximunDepthOfTree(self,root):ifrootisNone:return0## 分治算法left=self.maximunDepthOfTree(root.left)right=self.maximunDepthOfTree(root.right)## 忽略具体过程,想象左右子树长度已经得到depth=max(left,right)+1returndepth 二叉树节点的最近公共祖先 leetco...
t=TreeNode(2)root.righ t=TreeNode(3)root.left.lef t=TreeNode(4)root.left.righ t=TreeNode(5)python Copy code # 计算最大深度和最小深度 max_depth_value=max_depth(root)min_depth_value=min_depth(root)print("树的最大深度:",max_depth_value)print("树的最小深度:",min_depth_value) 输...
# Definition for a binary tree node. # class TreeNode: # def __init__(self, val=0, left=None, right=None): # self.val = val # self.left = left # self.right = right class Solution: def minDepth(self, root: Optional[TreeNode]) -> int: # def getdepth(node): if root == ...
| | max_depth : int, default=None | The maximum depth of the tree.#树的最大深度 If None, then nodes are expanded until | all leaves are pure or until all leaves contain less than | min_samples_split samples. | | min_samples_split : int or float, default=2 | The minimum number...
104 Maximum Depth of Binary Tree C++ Python O(n) O(h) Easy 105 Construct Binary Tree from Preorder and Inorder Traversal C++ Python O(n) O(n) Medium 106 Construct Binary Tree from Inorder and Postorder Traversal C++ Python O(n) O(n) Medium 108 Convert Sorted Array to Binary Sea...
| The function to measure the quality of a split. Supported criteria are | "gini" for the Gini impurity and "entropy" for the information gain. | Note: this parameter is tree-specific. | | max_depth : int, default=None | The maximum depth of the tree.#树的最大深度 ...
maximum_depth_of_binary_tree maximum_product_of_word_lenghts maximum_subarray median_of_two_sorted_arrays merge_intervals merge_k_sorted_lists merge_sorted_array merge_two_sorted_lists minimum_depth_of_binary_tree minimum_genetic_mutation minimum_path_sum minimum_window_substring min_stack missing_nu...
Maximum depth of the tree can be used as a control variable for pre-pruning. In the following the example, you can plot a decision tree on the same data with max_depth=3. Other than pre-pruning parameters, You can also try other attribute selection measure such as entropy. # Create ...