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normslope
2012 May 30
1
caret() train based on cross validation - split dataset to keep sites together?
...ainControl(method = "repeatedcv", number=10, repeats=3)
tuning <- read.table("temptunegrid.txt",head=T,sep=",")
tuning
# # Model with 100 iterations
registerDoMC(4)
tempmod100its <- train(watmntemp~tempa + tempb + tempc + tempd + tempe +
netarea + netbuffor + strmslope +
netsoilprm + netslope + gwndx + mnaspect + urb + ag + forest +
buffor + tempa7day + tempb7day +
tempc7day + tempd7day + tempe7day + tempa30day + tempb30day +
tempc30day + tempd30day +
tempe30day, data = temp.train, method = "nnet", linout=T, maxit =
100,
MaxNWts = 100000, metric...