Displaying 2 results from an estimated 2 matches for "eval_depth".
2008 Jan 26
2
Error: C stack usage is too close to the limit
...S.UTF-8;LC_NAME=C;LC_ADDRESS=C;LC_TELEPHONE=C;LC_MEASUREMENT=en_US.UTF-8;LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] rcompgen_0.1-17
Cstack_info()
size current direction eval_depth
8388608 2404 1 2
Many thanks,
Maarten Blaauw
--
Dr. Maarten Blaauw
School of Geography, Archaeology & Palaeoecology
Queen's University Belfast, U.K.
On leave from Department of Earth Sciences
Uppsala University, Sweden
maarten.blaauw at geo.uu.se
2018 Jan 31
0
using randomForest() with matrix() as input results to an Error: protect(): protection stack overflow
...s~., data=as.matrix(train), mtry=5, ntree=2000,
importance=TRUE)
and it always results in *Error: protect(): protection stack overflow.*
As you can see, I have already turned the training dataset into a matrix
but this didn't fix anything.
> Cstack_info()
size current direction eval_depth
7969177 13104 1 2
I also tried the options(expressions = 12e4) but nothing really changed.
The PC I'm running this on has 12 GB RAM and runs on Linux.
The dim(train) returns: 50 20040.
Is there something else to try, or I should run it on a different PC?
Thanks....