使用并行时的r包插入符号打印迭代

当并行使用

caret:：train

函数时，我们是否可以打印迭代？我知道有一个名为verbose的选项，但如果我使用多核，它似乎不会打印任何内容

我找到了解决办法。 我们只需要通过makeCluster函数注册内核

library(doSNOW)
cl <- makeCluster(30, outfile="")
registerDoSNOW(cl)

---

你在用RStudio吗？它以非标准方式指导输出。当我使用多核时，我不会得到任何日志，但我会用常规的R。嗨，Max！我尝试使用R studio和R server，但如果使用registerdomc/makecluster，它们中没有一个会打印日志。经过一些研究，我发现caret包不是问题，但是foreach包才是问题所在。打印日志有一些技巧。然而，大多数技巧必须在foreach循环内部完成，或者核心必须通过makecluster函数注册。但是，您可能知道，通过makecluster函数注册内核要比doMC运行foreach循环慢得多（两个包的创建者都证实了这一点）。但是，我仍然在寻找其他打印LogsName for RStudio、Win7 64位、R版本3.3.2的技巧：

randomForest\u 4.6-12

、

doSNOW\u 1.0.14

、

snow\u 0.4-2

、

迭代器\u 1.0.8

、

foreach\u 1.4.3

、

caret\u 6.0-73

。感谢这项工作，但准确性仍然缺失。如何在文本文件中打印准确度？

iris <- iris[1:100,]
iris$Species <- as.factor(as.character(iris$Species))

tc <- trainControl(method="LGOCV",
                   summaryFunction=twoClassSummary,
                   classProb=T,verboseIter=TRUE)
train.rf <- train(Species ~ .,data=iris, 
                  method="rf", trControl=tc, 
                   metric =  "ROC")

Type: EXEC 
loaded caret and set parent environment
Type: EXEC 
loaded caret and set parent environment
Type: EXEC 
Type: EXEC 
+ Resample01: mtry=2 
+ Resample01: mtry=3 
- Resample01: mtry=3 
Type: EXEC 
+ Resample02: mtry=2 
- Resample01: mtry=2 
Type: EXEC 
+ Resample01: mtry=4 
- Resample02: mtry=2 
Type: EXEC 
+ Resample02: mtry=3 
- Resample01: mtry=4 
Type: EXEC 
+ Resample02: mtry=4 
- Resample02: mtry=3 
Type: EXEC 
+ Resample03: mtry=2 
- Resample02: mtry=4 
Type: EXEC 
+ Resample03: mtry=3 
- Resample03: mtry=2 
Type: EXEC 
+ Resample03: mtry=4 
- Resample03: mtry=3 
Type: EXEC 
+ Resample04: mtry=2 
- Resample03: mtry=4 
Type: EXEC 
+ Resample04: mtry=3 
- Resample04: mtry=2 
Type: EXEC 
+ Resample04: mtry=4 
- Resample04: mtry=3 
Type: EXEC 
+ Resample05: mtry=2 
- Resample04: mtry=4 
Type: EXEC 
+ Resample05: mtry=3 
- Resample05: mtry=2 
Type: EXEC 
+ Resample05: mtry=4 
- Resample05: mtry=3 
Type: EXEC 
+ Resample06: mtry=2 
- Resample05: mtry=4 
Type: EXEC 
+ Resample06: mtry=3 
- Resample06: mtry=2 
Type: EXEC 
+ Resample06: mtry=4 
- Resample06: mtry=3 
Type: EXEC 
+ Resample07: mtry=2 
- Resample06: mtry=4 
Type: EXEC 
- Resample07: mtry=2 
+ Resample07: mtry=3 
Type: EXEC 
+ Resample07: mtry=4 
- Resample07: mtry=3 
- Resample07: mtry=4 
Type: EXEC 
Type: EXEC 
+ Resample08: mtry=2 
+ Resample08: mtry=3 
- Resample08: mtry=3 
Type: EXEC 
+ Resample09: mtry=2 
- Resample08: mtry=2 
Type: EXEC 
+ Resample08: mtry=4 
- Resample09: mtry=2 
Type: EXEC 
+ Resample09: mtry=3 
- Resample08: mtry=4 
Type: EXEC 
+ Resample09: mtry=4 
- Resample09: mtry=3 
Type: EXEC 
+ Resample10: mtry=2 
- Resample09: mtry=4 
Type: EXEC 
+ Resample10: mtry=3 
- Resample10: mtry=2 
Type: EXEC 
+ Resample10: mtry=4 
- Resample10: mtry=3 
Type: EXEC 
+ Resample11: mtry=2 
- Resample10: mtry=4 
Type: EXEC 
+ Resample11: mtry=3 
- Resample11: mtry=2 
Type: EXEC 
+ Resample11: mtry=4 
- Resample11: mtry=3 
Type: EXEC 
+ Resample12: mtry=2 
- Resample11: mtry=4 
Type: EXEC 
+ Resample12: mtry=3 
- Resample12: mtry=2 
Type: EXEC 
+ Resample12: mtry=4 
- Resample12: mtry=3 
Type: EXEC 
+ Resample13: mtry=2 
- Resample12: mtry=4 
Type: EXEC 
+ Resample13: mtry=3 
- Resample13: mtry=2 
Type: EXEC 
+ Resample13: mtry=4 
- Resample13: mtry=3 
Type: EXEC 
+ Resample14: mtry=2 
- Resample14: mtry=2 
Type: EXEC 
+ Resample14: mtry=4 
- Resample14: mtry=4 
Type: EXEC 
+ Resample15: mtry=2 
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Type: EXEC 
+ Resample15: mtry=3 
- Resample15: mtry=3 
Type: EXEC 
+ Resample15: mtry=4 
- Resample13: mtry=4 
Type: EXEC 
+ Resample14: mtry=3 
- Resample15: mtry=4 
Type: EXEC 
+ Resample16: mtry=2 
- Resample14: mtry=3 
Type: EXEC 
+ Resample16: mtry=3 
- Resample16: mtry=2 
Type: EXEC 
+ Resample16: mtry=4 
- Resample16: mtry=3 
Type: EXEC 
+ Resample17: mtry=2 
- Resample17: mtry=2 
Type: EXEC 
+ Resample17: mtry=4 
- Resample17: mtry=4 
Type: EXEC 
+ Resample18: mtry=2 
- Resample18: mtry=2 
Type: EXEC 
+ Resample18: mtry=3 
- Resample16: mtry=4 
Type: EXEC 
+ Resample17: mtry=3 
- Resample18: mtry=3 
Type: EXEC 
+ Resample18: mtry=4 
- Resample17: mtry=3 
Type: EXEC 
+ Resample19: mtry=2 
- Resample18: mtry=4 
Type: EXEC 
+ Resample19: mtry=3 
- Resample19: mtry=2 
Type: EXEC 
+ Resample19: mtry=4 
- Resample19: mtry=3 
Type: EXEC 
+ Resample20: mtry=2 
- Resample19: mtry=4 
Type: EXEC 
+ Resample20: mtry=3 
- Resample20: mtry=2 
Type: EXEC 
+ Resample20: mtry=4 
- Resample20: mtry=3 
Type: EXEC 
+ Resample21: mtry=2 
- Resample20: mtry=4 
Type: EXEC 
+ Resample21: mtry=3 
- Resample21: mtry=2 
Type: EXEC 
+ Resample21: mtry=4 
- Resample21: mtry=3 
Type: EXEC 
- Resample21: mtry=4 
+ Resample22: mtry=2 
Type: EXEC 
+ Resample22: mtry=3 
- Resample22: mtry=3 
Type: EXEC 
+ Resample23: mtry=2 
- Resample22: mtry=2 
Type: EXEC 
+ Resample22: mtry=4 
- Resample23: mtry=2 
Type: EXEC 
+ Resample23: mtry=3 
- Resample22: mtry=4 
Type: EXEC 
+ Resample23: mtry=4 
- Resample23: mtry=3 
Type: EXEC 
+ Resample24: mtry=2 
- Resample23: mtry=4 
Type: EXEC 
+ Resample24: mtry=3 
- Resample24: mtry=2 
Type: EXEC 
+ Resample24: mtry=4 
- Resample24: mtry=3 
Type: EXEC 
+ Resample25: mtry=2 
- Resample24: mtry=4 
Type: EXEC 
+ Resample25: mtry=3 
- Resample25: mtry=2 
Type: EXEC 
+ Resample25: mtry=4 
- Resample25: mtry=3 
- Resample25: mtry=4 
Aggregating results
Selecting tuning parameters
Fitting mtry = 2 on full training set