“在日志中遇到的被零除"当不除以零时

问题描述

当我这样做时:

summing += yval * np.log(sigmoid(np.dot(w.transpose(), xi.transpose()))) + (1-yval)* np.log(1-sigmoid(np.dot(w.transpose(), xi.transpose())))

没有除法的地方，为什么会出现在日志中除以零"的错误?结果，summing变为[nan].

where there is no division, why do I get a "divide by zero encountered in log" error? As a result, summing becomes [nan].

推荐答案

这是您尝试使用0评估日志时收到的警告:

That's the warning you get when you try to evaluate log with 0:

>>> import numpy as np
>>> np.log(0)
__main__:1: RuntimeWarning: divide by zero encountered in log

我同意这不是很清楚.

因此，在您的情况下，我将检查为什么您要输入的日志为0.

So in your case, I would check why your input to log is 0.

PS:这是在numpy 1.10.4上

PS: this is on numpy 1.10.4

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