错误＆＃x27;名称＆＃x27;属性[35563]必须与向量[1]长度相同

发布于 2025-01-23 06:57:21 字数 472 浏览 0 评论 0原文

我正在尝试使用smognregress从ubl package r 中的smognregress使用smognregress。

当我运行代码时：

SMOGNRegress(Deceased~., normalized_data, rel = "auto", thr.rel = 0.9999, C.perc = "balance", k = 2, repl = F, dist = "Euclidean", pert = 0.01)

我会收到以下错误：

'名称'属性[35563]必须与向量[1]
的长度相同

，从有关此错误的类似问题中，我看到这是一个不匹配的长度的问题，但是我无法围绕如何按顺序解决该问题围绕如何修复该问题生成新的超采样数据集。

原文

I'm trying to oversample an imbalanced dataset with a continuous target variable using SMOGNRegress from the UBL package in R.

When I run the code:

SMOGNRegress(Deceased~., normalized_data, rel = "auto", thr.rel = 0.9999, C.perc = "balance", k = 2, repl = F, dist = "Euclidean", pert = 0.01)

I get the following error:

'names' attribute [35563] must be the same length as the vector [1]

From similar questions regarding this error, I saw that it is an issue of lengths not matching, but I cannot wrap my head around how to fix that in order to generate the new oversampled data set.

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鲜肉鲜肉永远不皱 2025-01-30 06:57:21

确保此函数知道“归一化_data”是对我有用的数据框架。

SMOGNRegress(Deceased~., as.data.frame(normalized_data), rel = "auto", thr.rel = 0.9999, C.perc = "balance", k = 2, repl = F, dist = "Euclidean", pert = 0.01)

Making sure this function knows that "normalized_data" is a data frame worked for me.

SMOGNRegress(Deceased~., as.data.frame(normalized_data), rel = "auto", thr.rel = 0.9999, C.perc = "balance", k = 2, repl = F, dist = "Euclidean", pert = 0.01)

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