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varimp（R partykit）为条件重要性设置重新计算错误_R_Machine Learning_Random Forest_Feature Selection_Party - Fatal编程技术网
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varimp（R partykit）为条件重要性设置重新计算错误

r machine-learning

varimp（R partykit）为条件重要性设置重新计算错误,r,machine-learning,random-forest,feature-selection,party,R,Machine Learning,Random Forest,Feature Selection,Party,首先，我构建了一个模型 cf1 <- cforest(y~., data = DATA, strata = DATA$y, ntree = 200L, mtry = 10) 它回来了 Error in x[strata == s] <- .resample(x[strata == s]) : NAs are not allowed in subscripted assignments x[strata==s]中的错误事实是，如果我保持所有整数类型的协变量，

首先，我构建了一个模型

cf1 <- cforest(y~., data = DATA, strata = DATA$y,
           ntree = 200L, mtry = 10)
它回来了

Error in x[strata == s] <- .resample(x[strata == s]) : 
NAs are not allowed in subscripted assignments

x[strata==s]中的错误事实是，如果我保持所有
整数
类型的协变量，而不是将它们转换为
因子
，应用
varimp
不会产生错误。
你能给出一个最小的可重复性示例吗？否则很难调试。@AchimZeileis我正在尝试这样做。顺便问一下，你认为我设置
地层的方式是应该的吗？@AchimZeileis示例补充道。谢谢。但是，在执行
test@AchimZeileis之后，我成功地运行了这个程序。您的意思是您没有遇到相同的错误吗？我安装了1.2.1版本的
partykit
。

Error in x[strata == s] <- .resample(x[strata == s]) : 
NAs are not allowed in subscripted assignments



cf2 <- cforest(X5_years_survival~., data = test, strata = X5_years_survival,
           ntree = 200L, mtry = 6)
cf2.imp_cond <- varimp(cf2, conditional = TRUE)



Error in x[strata == s] <- .resample(x[strata == s]) : 
NAs are not allowed in subscripted assignments