问题描述
我正在尝试使用cforest函数(R,聚会包).
I'm trying to use cforest function(R, party package).
这就是我要做的森林建设
This's what I do to construct forest:
library("party")
set.seed(42)
readingSkills.cf <- cforest(score ~ ., data = readingSkills,
control = cforest_unbiased(mtry = 2, ntree = 50))
然后我要打印第一棵树,然后做
Then I want to print the first tree and I do
party:::prettytree(readingSkills.cf@ensemble[[1]],names(readingSkills.cf@data@get("input")))
结果看起来像这样
1) shoeSize <= 28.29018; criterion = 1, statistic = 89.711
2) age <= 6; criterion = 1, statistic = 48.324
3) age <= 5; criterion = 0.997, statistic = 8.917
4)* weights = 0
3) age > 5
5)* weights = 0
2) age > 6
6) age <= 7; criterion = 1, statistic = 13.387
7) shoeSize <= 26.66743; criterion = 0.214, statistic = 0.073
8)* weights = 0
7) shoeSize > 26.66743
9)* weights = 0
6) age > 7
10)* weights = 0
1) shoeSize > 28.29018
11) age <= 9; criterion = 1, statistic = 36.836
12) nativeSpeaker == {}; criterion = 0.998, statistic = 9.347
13)* weights = 0
12) nativeSpeaker == {}
14)* weights = 0
11) age > 9
15) nativeSpeaker == {}; criterion = 1, statistic = 19.124
16) age <= 10; criterion = 1, statistic = 18.441
17)* weights = 0
16) age > 10
18)* weights = 0
15) nativeSpeaker == {}
19)* weights = 0
为什么它为空(每个节点的权重等于零)?
Why is it empty(weights in each node is equal to zero)?
推荐答案
简短的答案:每个节点中的案例权重weights
为NULL
,即不存储. prettytree
函数输出weights = 0
,因为sum(NULL)
在R中等于0.
Short answer: the case weights weights
in each node are NULL
, i.e. not stored. The prettytree
function outputs weights = 0
, since sum(NULL)
equals 0 in R.
请考虑以下ctree
示例:
library("party")
x <- ctree(Species ~ ., data=iris)
plot(x, type="simple")
对于生成的对象x
(类BinaryTree
),案例权重存储在每个节点中:
For the resulting object x
(class BinaryTree
) the case weights are stored in each node:
R> sum(x@tree$left$weights)
[1] 50
R> sum(x@tree$right$weights)
[1] 100
R> sum(x@tree$right$left$weights)
[1] 54
R> sum(x@tree$right$right$weights)
[1] 46
现在让我们仔细看看cforest
:
y <- cforest(Species ~ ., data=iris, control=cforest_control(mtry=2))
tr <- party:::prettytree(y@ensemble[[1]], names(y@data@get("input")))
plot(new("BinaryTree", tree=tr, data=y@data, responses=y@responses))
案例权重未存储在树集合中,可以通过以下内容看到:
The case weights are not stored in the tree ensemble, which can be seen by the following:
fixInNamespace("print.TerminalNode", "party")
将print
方法更改为
function (x, n = 1, ...)·
{
print(names(x))
print(x$weights)
cat(paste(paste(rep(" ", n - 1), collapse = ""), x$nodeID,·
")* ", sep = "", collapse = ""), "weights =", sum(x$weights),·
"\n")
}
现在我们可以观察到每个节点中的weights
是NULL
:
Now we can observe that weights
is NULL
in every node:
R> tr
1) Petal.Width <= 0.4; criterion = 10.641, statistic = 10.641
[1] "nodeID" "weights" "criterion" "terminal" "psplit"
[6] "ssplits" "prediction" "left" "right" NA
NULL
2)* weights = 0
1) Petal.Width > 0.4
3) Petal.Width <= 1.6; criterion = 8.629, statistic = 8.629
[1] "nodeID" "weights" "criterion" "terminal" "psplit"
[6] "ssplits" "prediction" "left" "right" NA
NULL
4)* weights = 0
3) Petal.Width > 1.6
[1] "nodeID" "weights" "criterion" "terminal" "psplit"
[6] "ssplits" "prediction" "left" "right" NA
NULL
5)* weights = 0
更新:这是一种用于显示案例权重总和的技巧:
Update this is a hack to display the sums of the case weights:
update_tree <- function(x) {
if(!x$terminal) {
x$left <- update_tree(x$left)
x$right <- update_tree(x$right)
} else {
x$weights <- x[[9]]
x$weights_ <- x[[9]]
}
x
}
tr_weights <- update_tree(tr)
plot(new("BinaryTree", tree=tr_weights, data=y@data, responses=y@responses))
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