参数的无效 'type'（字符）

Question

是关于题目的错误信息。当我尝试运行 naive.bayes 分类器时出现此错误。这是我的火车数据摘要：

'data.frame':   7269 obs. of  193 variables:
 $ pid       : int  2 4 5 7 10 11 14 18 25 31 ...
 $ acquir    : int  0 0 0 0 1 1 0 0 0 0 ...
 $ addit     : int  0 0 0 0 2 2 0 0 0 0 ...
 $ agre      : int  0 0 0 0 0 0 0 0 0 0 ...
 $ agreement : int  0 0 0 0 0 0 0 0 0 0 ...
 $ also      : int  1 0 0 0 2 2 0 0 0 0 ...
 $ american  : int  0 0 0 0 0 0 0 0 0 0 ...
 $ announc   : int  0 0 0 0 0 0 0 0 0 0 ...
 $ annual    : int  0 0 0 0 0 0 0 0 2 0 ...
 $ approv    : int  0 3 0 0 0 0 0 0 0 0 ...
 $ april     : int  0 0 0 0 0 0 0 0 1 0 ...
 $ bank      : int  0 7 0 0 0 0 0 0 0 0 ...
 $ base      : int  0 0 0 0 0 0 0 0 0 0 ...
 .
 .
 $... all of them are integer, except the class column
 .
 .
 $ class     : Factor w/ 10 levels "acq","corn","crude",..: 1 1 4 4 9 1 4 3 1 4 ...

这是 naive.bayes() 行：

model <- naiveBayes(as.factor(class) ~ ., data = as.matrix(train), laplace = 3)

谁能告诉我为什么会这样？:

Error in sum(x) : invalid 'type' (character) of argument

Answer 1

由于 as.matrix(train)，您的数据最终被转换为字符。尝试

model <- naiveBayes(class ~ ., data=train, laplace = 3)

或最终

model <- naiveBayes(train$class ~ ., data=train[, -c("class")], laplace = 3)

第二个变体与第一个变体大致相同。公式RHS中的.展开为'all other variables'；因此它排除了 LHS 中提到的列 class。（更多信息在 formula 的文档中）

参数的无效 'type'（字符）

invalid 'type' (character) of argument

r

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