运行GBM时如何修复PSOCKcluster错误

如何解决运行GBM时如何修复PSOCKcluster错误

我正在尝试运行gbm

gbm(formula=loan_status~.,data=mdTrnGBM,distribution = 'bernoulli',n.trees= 100,interaction.depth= 5,bag.fraction= 0.5,cv.folds= 5)

并不断收到此错误：

Error in makePSOCKcluster(names = spec,...) : 
  Cluster setup Failed. 8 of 8 workers Failed to connect. 

关于如何解决此问题的任何想法？如果我消除了袋的分数和cv折叠，它的确会奏效，但我不想消除这些。

解决方法

当您指定cv = 5时，gbm使用parallel软件包将每个交叉验证作业发送到单独的核心。对于新的R 4.0和Mac ..或您使用的任何系统，这可能是一个新问题，请参见this link。

现在，使用示例数据集，如果数据不是那么大，您可以尝试仅使用1个核：

library(gbm)
fl = "https://raw.githubusercontent.com/hrishibawane/DataLit/master/credit_train.csv"
dat = read.csv(fl)
dat = dat[dat$Loan.Status !="",]
dat = droplevels(dat[complete.cases(dat),-c(1:2)])
dat$Loan.Status = as.numeric(dat$Loan.Status)-1

mdl = gbm(formula=Loan.Status~.,data=dat,distribution = 'bernoulli',n.trees= 100,interaction.depth= 5,bag.fraction= 0.5,cv.folds= 5,n.cores=1)

gbm(formula = Loan.Status ~ .,distribution = "bernoulli",data = dat,n.trees = 100,interaction.depth = 5,bag.fraction = 0.5,cv.folds = 5,n.cores = 1)
A gradient boosted model with bernoulli loss function.
100 iterations were performed.
The best cross-validation iteration was 98.
There were 16 predictors of which 16 had non-zero influence.