search for: rfecontrol

...As we know, there are a number of pre-defined sets of functions, like random Forest(rfFuncs), however,I want to tune the parameters (mtr) when RFE, and then I write code below, but there is something wrong message, How can I deal with it? > rfGrid<-expand.grid(.mtry=c(1:2)) > rfectrl<-rfeControl(functions=caretFuncs,method="cv",verbose=F,returnResamp="final",number=10) > subsets<-c(3,4) > set.seed(2) > rf.RFE<-rfe(trx,try,sizes=subsets,rfeControl=rfectrl,method="rf",tuneGrid=rfGrid) Loading required package: class Attaching package: 'class&...

...E) : undefined columns selected In addition: Warning message: In predict.lm(object, x) : prediction from a rank-deficient fit may be misleading I try to that manual example, that is good, my data is wrong. I do not know what reanson? my code is : subsets<-c(1:5,10,15,20,25) ctrl<-rfeControl(functions=lmFuncs, method = "cv", verbose=FALSE,returnResamp="final") lmProfile<-rfe(trainDescr,trainY,sizes=subsets,rfeControl=ctrl) before it, I have do some pre-process and my data is in the attachment. Please help me. thank you! kevin http://n4.nabble....

...es a dummy variable with 3 levels. x <- chlDescr y <- chl #crate dummy variable levels(x$State) <- c("AL","GA","FL") dummy <- model.matrix(~State,x) z <- cbind(dummy, x) #remove State category variable w <- z[,c(-4)] subsets <- c(2:8) ctrl<- rfeControl(functions = lmFuncs, method="cv", verbose=FALSE, returnResamp = "final") lmProfile <- rfe(w, y, sizes = subsets, rfeControl = ctrl) Returns: Error in `[.data.frame`(x, , retained, drop = FALSE) : undefined columns selected In addition: Warning message: In predict.lm(obje...

On a Unix machine I ran caret::rfe using the multicore package, and I saved the resulting object using save(lm2, file = "lm2.RData"). [Reproducible example below.] When I try to load("lm2.RData") on my Windows laptop, I get Error in loadNamespace(name) : there is no package called 'multicore' I completely understand the error and I would like to ignore it and

...sets of > functions, like > random Forest(rfFuncs), however,I want to tune the > parameters (mtr) when > RFE, and then I write code below, but there is something > wrong message, How > can I deal with it?? > > rfGrid<-expand.grid(.mtry=c(1:2)) > > > rfectrl<-rfeControl(functions=caretFuncs,method="cv",verbose=F,returnResamp="final",number=10) > > subsets<-c(3,4) > > set.seed(2) > > > rf.RFE<-rfe(trx,try,sizes=subsets,rfeControl=rfectrl,method="rf",tuneGrid=rfGrid) > Loading required package: class >...