Comments (5)
好的,我会找时间看下,如果是我弄错了会修改的,谢谢反馈。
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还有个bug,在qmath.py文件下pearson_sp这个函数第62行,return语句需要向前移动一格。
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你好,我刚确认了一下,这个公式是我自己推导的。对比了一下nju的那篇文章,似乎是一致的?可能是我没有看仔细,你可以指出是哪个地方不一致吗?一般公式要是推导错误的话,运算时都是会溢出的。实测这个方法是可以收敛的。qmath的bug我已经修复了,谢谢。
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主要是对U的求导那块,我看文章里给的迭代公式是按照我上面的写法,对于Ui,公式中有两项,分别代表Ui信任的朋友和信任Ui的朋友,也就是一个代表Ui的入度,一个代表出度,我看您只是计算了UI的出度,然后分别对Ui和Uk更新,这儿不知道是不是等价,所以这儿有点疑问。
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文章里给的是批梯度优化的目标函数,我用的是SGD的,是等价的。
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Related Issues (20)
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