What version of caret and R? We'll also need a reproducible example.
On Mon, Jan 24, 2011 at 12:44 PM, Neeti <nikkiha...@gmail.com> wrote: > > Hi, > I am trying to construct a svmpoly model using the "caret" package (please > see code below). Using the same data, without changing any setting, I am > just changing the seed value. Sometimes it constructs the model > successfully, and sometimes I get an “Error in indexes[[j]] : subscript out > of bounds”. > For example when I set seed to 357 following code produced result only for 8 > iterations and for 9th iteration it reaches to an error that “subscript out > of bonds” error. I don’t understand why > > Any help would be great > thanks > ####### > for (i in 1:10) > { > fit1<-NULL; > x<-NULL; > x<-which(number==i) > trainset<-d[-x,] > testset<-d[x,] > train1<-trainset[,-ncol(trainset)] > train1<-train1[,-(1)] > test_t<-testset[,-ncol(testset)] > species_test<-as.factor(testset[,ncol(testset)]) > test_t<-test_t[,-(1)] > #### > #CARET::TRAIN > #### > > > fit1<-train(train1,as.factor(trainset[,ncol(trainset)]),"svmpoly",trControl > = trainControl((method = "cv"),10,verboseIter = F),tuneLength=3) > pred<-predict(fit1,test_t) > t_train[[i]]<-table(predicted=pred,observed=testset[,ncol(testset)]) > tune_result[[i]]<-fit1$results; > tune_best<-fit1$bestTune; > scale1[i]<-tune_best[[3]] > degree[i]<-tune_best[[2]] > c1[i]<-tune_best[[1]] > > } > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Train-error-subscript-out-of-bonds-tp3234510p3234510.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Max ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.