Error: some required components are missing: prob?

Question

我按照这个指南创建了自己的插入符号模型 Creating Your Own Model。那里说

If a regression model is being used or if the classification model does not create class probabilities a value of NULL can be used here instead of a function

所以我这样做了

# Define the model cFBasic
cFBasic <- list(type = "Regression",
                library = c("lubridate", "stringr"),
                loop = NULL)
...
cFBasic$prob <- NULL
cFBasic$sort <- NULL

但是，当我尝试测试模型时，出现以下错误：

control <- trainControl(method = "cv", 
                        number = 10, 
                        p = .9, 
                        allowParallel = TRUE)
fit <- train(x = calib_set,
             y = calib_set$y,
             method = cFBasic,
             trControl = control)
Error: some required components are missing: prob

我该如何解决？除了添加函数 prob 来生成伪造的 pro 数据框以使 caret 快乐。

Answer 1

通过键入 cFBasic$prob <- NULL，您实际上并没有向列表中添加新项目。

看看这个：

cFBasic <- list(prob = NULL)
cFBasic
#> $prob
#> NULL

cFBasic$prob <- NULL
cFBasic
#> named list()

当您将 NULL 分配给列表的对象时，您将删除该对象。如果您想将一个名为 prob 的 NULL 对象和一个名为 sort 的 NULL 对象添加到列表中，您应该这样输入：

# Define the model cFBasic
cFBasic <- list(type = "Regression",
                library = c("lubridate", "stringr"),
                loop = NULL)
...
cFBasic <- c(cFBasic, list(prob = NULL))
cFBasic <- c(cFBasic, list(sort = NULL))

试一试。

Error: some required components are missing: prob?

Error: some required components are missing: prob?

r

r-caret