我想用下面的代码插入符运行GBM:加字符和GBM:任务1失败 - “参数意味着,不同的行数”
library(caret)
library(doParallel)
detectCores()
registerDoParallel(detectCores() - 1)
set.seed(668)
in.train <- createDataPartition(y = dat$target, p = 0.80, list = T)
ctrl <- trainControl(method = 'cv', number = 2, classProbs = T, verboseIter = T,
summaryFunction = LogLossSummary2)
gbm.grid <- expand.grid(interaction.depth = 10,
n.trees = (2:7) * 50,
shrinkage = 0.1)
Sys.time()
set.seed(1234)
gbm.fit <- train(target ~., data = otto.new[in.train, ],
method = 'gbm', distribution = 'multinomial',
metric = 'LogLoss', maximize = F,
tuneGrid = gbm.grid, trControl = ctrl,
n.minobsinnode = 4, bag.fraction = 0.9)
Sys.time()
但是,它失败,出现错误:
Error in { :
task 1 failed - "arguments imply differing number of rows: 0, 24754"
In addition: Warning messages:
1: package ‘gbm’ was built under R version 3.0.3
2: package ‘survival’ was built under R version 3.0.3
3: package ‘plyr’ was built under R version 3.0.3
这里是我的会话信息:
> sessionInfo()
R version 3.0.2 (2013-09-25)
Platform: x86_64-w64-mingw32/x64 (64-bit)
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] splines parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] plyr_1.8.1 gbm_2.1.1 survival_2.38-1 doParallel_1.0.8 iterators_1.0.7 foreach_1.4.2 data.table_1.9.4
[8] caret_6.0-41 ggplot2_1.0.1 Revobase_7.1.0 RevoMods_7.1.0 RevoScaleR_7.1.0 lattice_0.20-27 rpart_4.1-5
loaded via a namespace (and not attached):
[1] BradleyTerry2_1.0-6 brglm_0.5-9 car_2.0-25 chron_2.3-45 class_7.3-12 codetools_0.2-11
[7] colorspace_1.2-6 compiler_3.0.2 digest_0.6.8 e1071_1.6-4 grid_3.0.2 gtable_0.1.2
[13] gtools_3.4.1 lme4_1.1-7 MASS_7.3-37 Matrix_1.1-5 mgcv_1.8-5 minqa_1.2.4
[19] munsell_0.4.2 nlme_3.1-120 nloptr_1.0.4 nnet_7.3-9 pbkrtest_0.4-2 proto_0.3-10
[25] quantreg_5.11 Rcpp_0.11.5 reshape2_1.4.1 scales_0.2.4 SparseM_1.6 stringr_0.6.2
[31] tools_3.0.2
我已经注意到这个问题间歇性发生,似乎在减少,当我确保我的数据集是k倍的倍数。 (在上面的例子中,我的数据集有49506行)。尽管如此,它似乎时不时出现。有没有其他人遇到过这种情况,并遇到阻止它的方法?
它可能是任何东西。提供可重复的示例将有助于您的问题得到解答。 – topepo 2015-04-17 16:49:17