Katrina,
I made some changes to accomidate gbm's new feature for 3+ categories,
then had to "harmonize" how gbm and caret work together.
I have a new version of caret that is not released yet (maybe within a
month), but you should get it from:
install.packages("caret", repos="http://R-Forge.R-project.org";)
You may also need to ungrade gbm. That package page is:
https://code.google.com/p/gradientboostedmodels/downloads/list
Let me know if you have any issues.
Max
On Sat, May 4, 2013 at 5:33 PM, Katrina Bennett <kebenn...@alaska.edu> wrote:
> I am running caret for model exploration. I developed my code a number of
> months ago and I've been running it with no issues. Recently, I updated my
> version of caret however, and now I am getting a new error. I'm wondering
> if this is due to the new release.
>
> The error I am getting is when I am running GBM.
>
> print(paste("calculating GBM for", i))
> #gbm runs over and over again
> set.seed(1)
> trainModelGBM <- train(trainClass3, trainAsym, "gbm", metric="RMSE",
> tuneLength = 5, trControl = con)
>
> The error I am getting is at the end of the run once all the iterations
> have been processed:
> Error in { :
> task 1 failed - "arguments imply differing number of rows: 5, 121"
>
> trainClass3 and trainAsym have 311 values in them. I'm using 5 variables in
> my matrix. I'm not sure where the 117 is coming from.
>
> I found solutions online that suggested that updated the version of glmnet,
> Matrix and doing something with cv.folds would work. None of these
> solutions have worked for me.
>
> Here is my R session info.
>
> R version 2.15.1 (2012-06-22)
> Platform: x86_64-unknown-linux-gnu (64-bit)
>
> caret version 5.15-61
>
> Thank you,
>
> Katrina
>
> [[alternative HTML version deleted]]
>
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--
Max
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