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wzhe06 avatar wzhe06 commented on May 24, 2024

不是非常理解你的思路。这段代码中probDistribution保存了点curElement所有邻接点的概率，这个概率是提前处理好的，总和为1的概率。
randomDouble选择了一个0-1之间的随机数。

然后剩下的过程类似于一个转盘的游戏，randomDouble是一个随机数指针，然后指到哪个邻接点的概率区间，就选择哪个邻接点，这个过程应该是充分利用了邻接点的概率分布，而且是完全随机的。

你说的方式np.random.choice(adj_nodes, node_distributions) 应该也是可行的，但二者的过程应该是完全等价的，效率问题要看np.random.choice函数的具体内部实现。

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shexuan avatar shexuan commented on May 24, 2024

应该是我理解错了，我试了下代码，老师的代码跟np.random.choice采样结果基本是一样的，而且速度要快40倍左右，相当意外了👍

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