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- NaN是什么 NaN == NaN 的结果是什么?为什么? - 知乎
NaN通常用于表示数学运算无法产生有意义的结果的情况，例如0除以0或对负数求平方根等。 NaN与任何其他值（包括NaN本身）进行比较的结果都是false，包括NaN == NaN。这是因为NaN被定义为不等于任何其他值，甚至不等于它自己。这是由于NaN的特殊性质导致的。
- What is the difference between NaN and NA? - Cross Validated
NA is for missing data NaN, as J M said is for arithmetic purpose NaN is usually the product of some arithmetic operation, such as 0 0 NA usually is declared in advance, or is a product of operation when you try to access something that is not there: > a <- c(1,2) > a[3] [1] NA
- pytorch中第一轮训练loss就是nan是为什么啊？ - 知乎
全连接层只留下nn Linear(512,4096)，奇怪的事发生了，nan问题没有出现，第一次iteration后也没有出现nan，输出正常(但当然我的num_classes=10，这样肯定是不对的)，那试试nn Linear(512,10000)（全连接只有这一层，卷积层啥也没改），我去也没问题！
- python - Getting nan scores from RandomizedSearchCV with Random Forest . . .
The cause of the nan score values was including a value of 1 as an option for min_samples_split Although it is not explicitly stated in the documentation that this parameter cannot be 1, it makes sense when one stops to think about what this parameter means; one cannot split a node into subgroups if there is only 1 sample!
- r - Why do I get NAN for p-values while using statsmodels logit . . .
R GLM and statsmodels GLM have different ways of handling "perfect separation" (which is what is happening when fitted probabilities are 0 or 1) In Statsmodels, a fitted probability of 0 or 1 creates Inf values on the logit scale, which propagates through all the other calculations, generally giving NaN values for everything
- How do I interpret NaN values in statsmodels. stats. anova_lm result
$\begingroup$ NaN is an absorbing operand for mathematical operations For example, a float plus a Nan is a Nan So first ensure that your original data is Nan-free The second issue that can come up which might produce a Nan is when an undefined operation, such as division by zero, is
- 训练深度学习网络时候，出现Nan是什么原因，怎么才能避免？ - 知乎
loss突然变nan的原因，很可惜并不是这里其他所有答主所说的“因为梯度爆炸”、“lr过大”、“不收敛”等等原因，而是因为training sample中出现了脏数据！ 脏数据的出现导致我的logits计算出了0，0传给 log(x|x=0) \rightarrow ∞, 即nan。
- Getting NaN value for X-Squared and N A for p-value in Chi-Square Test
I have to perform a chi-square test on this given data set: Upon doing so with the following code: I get the following result: Pearson's Chi-squared test data: data table X-squared = Na
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