[R] Caret - Recursive Feature Elimination Error

[Max Kuhn]

Providing a reproducible example and the results of `sessionInfo` will help
get your question answered.

Also, what is the point of using glmnet with RFE? It already does feature
selection.

On Wed, Dec 23, 2015 at 1:48 AM, Manish MAHESHWARI <manishm at dbs.com> wrote:

> Hi,
>
> I am trying to use caret, for feature selection on glmnet. I get a strange
> error like below - "arguments imply differing number of rows: 2, 3".
>
>
> x <- data.matrix(train[,features])
>
> y <- train$quoteconversion_flag
>
>
>
> > str(x)
>
>  num [1:260753, 1:297] NA NA NA NA NA NA NA NA NA NA ...
>
>  - attr(*, "dimnames")=List of 2
>
>   ..$ : NULL
>
>   ..$ : chr [1:297] "original_quote_date" "field6" "field7" "field8" ...
>
> > str(y)
>
>  Factor w/ 2 levels "X0","X1": 1 1 1 1 1 1 1 1 1 1 ...
>
> > RFE <- rfe(x,y,sizes = seq(50,300,by=10),
> +            metric = "ROC",maximize=TRUE,rfeControl = MyRFEcontrol,
> +            method='glmnet',
> +            tuneGrid = expand.grid(.alpha=0,.lambda=c(0.01,0.02)),
> +            trControl = MyTrainControl)
> +(rfe) fit Resample01 size: 297
> +(rfe) fit Resample02 size: 297
> +(rfe) fit Resample03 size: 297
> +(rfe) fit Resample04 size: 297
> +(rfe) fit Resample05 size: 297
> +(rfe) fit Resample06 size: 297
> +(rfe) fit Resample07 size: 297
> +(rfe) fit Resample08 size: 297
> +(rfe) fit Resample09 size: 297
> +(rfe) fit Resample10 size: 297
> +(rfe) fit Resample11 size: 297
> +(rfe) fit Resample12 size: 297
> +(rfe) fit Resample13 size: 297
> +(rfe) fit Resample14 size: 297
> +(rfe) fit Resample15 size: 297
> +(rfe) fit Resample16 size: 297
> +(rfe) fit Resample17 size: 297
> +(rfe) fit Resample18 size: 297
> +(rfe) fit Resample19 size: 297
> +(rfe) fit Resample20 size: 297
> +(rfe) fit Resample21 size: 297
> +(rfe) fit Resample22 size: 297
> +(rfe) fit Resample23 size: 297
> +(rfe) fit Resample24 size: 297
> +(rfe) fit Resample25 size: 297
> Error in { :
>   task 1 failed - "task 1 failed - "arguments imply differing number of
> rows: 2, 3""
> In addition: There were 50 or more warnings (use warnings() to see the
> first 50)
>
> Any idea what does this mean?
>
> Thanks,
> Manish
>
> CONFIDENTIAL NOTE:
> The information contained in this email is intended on...{{dropped:13}}