Displaying 1 result from an estimated 1 matches for "trainingframe".
2013 Jun 11
1
Caret train with glmnet give me Error "arguments imply differing number of rows"
...ze I get
the following error:
Error en { :
task 1 failed - "arguments imply differing number of rows: 9, 10"
and several warnings like this one:
1: In eval(expr, envir, enclos) :
model fit failed for Resample01
My call to train function is like this:
fit <- train(TrainingPreCols, TrainingFrame[,PCol], method="glmnet",
preProcess = c("center","scale"))
When TrainingPreCols is 17420 obs. of 27 variables, the function works ok.
But with a size of 47000 obs of 27 variables I get the former error.
¿Could be the amount of data the cause of this error?
Any help...