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2006 Jul 26
3
memory problems when combining randomForests
Dear all,
I am trying to train a randomForest using all my control data (12,000 cases, ~
20 explanatory variables, 2 classes). Because of memory constraints, I have
split my data into 7 subsets and trained a randomForest for each, hoping that
using combine() afterwards would solve the memory issue. Unfortunately,
combine() still runs out of memory. Is there anything else I can do? (I am not
using
2001 Oct 15
0
predict.fda difficulties
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Toy Example
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# Dummy cross-validation routine
set.seed(7771)
TotalN<-162
TestN<-80
TrainN<-TotalN-TestN
# Make a dummy frame with 11 kinds of "CellType" labels and 17 normal
variables
DummyCellTypes<-floor(runif(TotalN,0,11)+1)
DummyParams<-data.frame(CellType=DummyCellTypes,
matrix(rnorm(TotalN*17),TotalN,17))
DummyParams$CellType<-factor(DummyParams$CellType)...