[R] Caret - Recursive Feature Elimination Error

[Manish MAHESHWARI]

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

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