[R] CARET NN Too Much Output Even with Trace=False

[William Dunlap]

You can use capture.output to store all that tracing information in a
character vector instead of having it printed.  You can look at it to
diagnose problems or just throw it away.

NN.text  <-
capture.output(NN<-train(trainSet[,predictors],trainSet[,outcomeName],method='nnet',trControl=fitControl,tuneLength=5,nnet.trace=FALSE))

Bill Dunlap
TIBCO Software
wdunlap tibco.com

On Fri, Aug 17, 2018 at 10:34 AM, Sparks, John <jspark4 using uic.edu> wrote:

> Hi R Helpers,
>
>
> I am using the Neural Net build in the CARET package and it produces a
> large amount of output that I don't need to see and interferes with my
> ability to get to the output that I want to see.  I am using the
> nnet.trace=FALSE setting, but still getting a disproportionate amount of
> output from this one procedure.
>
>
> Is there another option setting that will turn off this output?
>
>
> Reproducible example is below.  It has a little extra complication in it
> because I hacked it from a post.  Let me know if I need to do anything to
> it to make it more use-able.
>
>
> Many thanks.
>
> --John Sparks
>
>
> library('caret')
> set.seed(1)
>
> data<-read.csv(url('https://datahack-prod.s3.ap-south-1.
> amazonaws.com/train_file/train_u6lujuX_CVtuZ9i.csv'))
>
> #Imputing missing values using median
> preProcValues <- preProcess(data, method = c("medianImpute","center","
> scale"))
> library('RANN')
> data_processed <- predict(preProcValues, data)
> index <- createDataPartition(data_processed$Loan_Status, p=0.75,
> list=FALSE)
> trainSet <- data_processed[ index,]
> testSet <- data_processed[-index,]
> fitControl <- trainControl(method = "cv",number = 5,savePredictions =
> 'final',classProbs = T)
>
> trainSet<-subset(trainSet,select=-c(Loan_ID))
> outcomeName<-"Loan_Status"
> predictors<-names(trainSet)[!names(trainSet) %in% outcomeName]
>
> NN<-train(trainSet[,predictors],trainSet[,outcomeName],method='nnet',
> trControl=fitControl,tuneLength=5,nnet.trace=FALSE)
>
>
>
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>
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