attached is the data set which generates the rgui.exe cpu loop...
here are commands :
library(rpart)
train<-read.csv("traindata.csv",header=T)
y<-as.numeric(train[,18])
x<-train[,1:3]
fit<-rpart(y~.,x)
On Thu, Apr 22, 2010 at 9:25 AM, Terry Therneau <thern...@mayo.edu> wrote:
> --- Begin included message
>
> I have attempted to email the author of this package without success,
> just wondering if anybody else has experienced this.
>
> I am having an using rpart on 4000 rows of data with 13 attributes.
> I can run the same test on 300 rows of the same data with no issue.
> When I run on 4000 rows, Rgui.exe runs consistently at 50% cpu and the
> UI hangs.... it will stay like this for at least 4-5hours if I let it
> run, and never exit or become responsive.
>
> here is the code I am using both on the 300 and 4000 size subset :
>
> train<-read.csv("input.csv",header=T)
> y<-train[,18]
> x<-train[,3:17]
> library(rpart)
> fit<-rpart(y~.,x)
>
> Is this a known limitation of rpart, am I doing something wrong?
> potential workarounds?
>
> -------------
>
> I don't remember seeing a message from you. If I accidentally deleted
> one along with the daily junk mail I apologize.
> I run rpart on larger problems than this without issue. I'd have to
> see the data; perchance you have found a never-before-seen infinite
> loop.
> Terry Therneau
>
>
>
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