“插入'包中的错误”找不到功能“,R

时间:2015-08-06 03:56:13

标签: r parallel-processing r-caret gbm

我正在尝试通过R中的插入符包运行“gbm”。接收'方法“gbm.fit”未找到'错误。 gbm包已加载,R,RStudio,caret和gbm已更新至其最新版本(请参阅下面的版本信息)

这是[可复制的]示例

加载必需的包

library(caret)
library(gbm)
library(foreach)
library(doParallel)
library(magrittr)
library(plyr)

开始并行(或不开始,结果相同)

cl=makeCluster(5)
registerDoParallel(cl)

设置插入符号的控制参数 - 几乎所有默认值

gbm.fit.control = trainControl(method = "cv", 
                               number = 5,
                               repeats = 1,
                               p = 0.75, 
                               verboseIter = T,
                               returnData = TRUE,
                               summaryFunction = defaultSummary
                               selectionFunction = "best",
                               allowParallel = FALSE)

为参数搜索设置网格 - 没什么特别的

gbmGrid <-  expand.grid(interaction.depth = c(2,5,8),
                        n.trees = c(500,2000,5000),
                        shrinkage = c(0.1,0.01),
                        n.minobsinnode = c(10))

为示例生成虚拟数据。真实数据更复杂,但结果与此玩具示例相同

tn.XY=data.frame(y=runif(100), x1=runif(100), x2=runif(100), x3=runif(100))

尝试运行列车功能

gbmFit3 <- train(y~x1+x2+x3, data = tn.XY,
                 method = "gbm",
                 trControl = gbm.fit.control,
                 verbose = FALSE,
                 tuneGrid = gbmGrid,
                 ## Specify which metric to optimize
                 metric = "RMSE")

找不到错误= gbm.fit

+ Fold1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=5000 
model fit failed for Fold1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=5000 
Error in do.call("gbm.fit", modArgs) : could not find function "gbm.fit"

- Fold1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=5000 
+ Fold1: shrinkage=0.01, interaction.depth=5, n.minobsinnode=10, n.trees=5000 
model fit failed for Fold1: shrinkage=0.01, interaction.depth=5, n.minobsinnode=10, n.trees=5000 
Error in do.call("gbm.fit", modArgs) : could not find function "gbm.fit"
...
And it continues for every fold

我怀疑它可能是并行问题(例如在here中)。但是,禁用并行执行没有帮助。我有点迷茫。我知道有些人使用插头取得了巨大的成功。它可能需要一些基本的东西,我缺少的东西。

R版本信息

R version 3.2.1 (2015-06-18)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    

attached base packages:
[1] parallel  splines   stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] plyr_1.8.3       magrittr_1.5     doParallel_1.0.8 iterators_1.0.7  foreach_1.4.2    gbm_2.1-06       survival_2.38-3 
 [8] caret_6.0-52     ggplot2_1.0.1    lattice_0.20-33  readr_0.1.1      installr_0.16.0 

1 个答案:

答案 0 :(得分:2)

我弄清楚问题是什么。我认为不是删除我的问题,而是将它留在这里,也许它会帮助某人。问题是我从github安装了新版本,由于某种原因没有gbm.fit方法。所以我从CRAN存储库重新安装了它,错误就消失了。