Comments (8)
Strange. Is this only the case for ranger
? What about other Rcpp
packages, such as dplyr
?
from ranger.
If it is a server running something like CentOS, it could be interesting getting stuff compiled properly that uses Rcpp
. I haven't debugged all our issues, but I know one needs a very particular setup to properly compile Rcpp
stuff on CentOS.
from ranger.
Installing dplyr
via devtools::install_github(cran/dplyr)
is not a problem. I use devtools::install_github(cran/ranger)
and this normally works.
I do not exactly know on what the server is running.
from ranger.
Which version of gcc is running on the server?
By the way, why do you install CRAN packages using devtools::install_github
?
from ranger.
gcc 4.9.3
Normal installation does not work because of some reason. (I am a very recent user of the server structure) But that is not the reason.
from ranger.
Is this solved on your side?
from ranger.
Yes. It was solved by setting
CXX_STD = g++
CXX=g++
PKG_CPPFLAGS= -std=c++11 -DRBUILD
in the ranger/src/Makevars file. But I think Bernd has written you more about this.
from ranger.
Great. He said they solved it locally without modifying the ranger Makevars (CXX shouldn't be set in a package).
from ranger.
Related Issues (20)
- classProbs are not in line with the predicted label HOT 4
- Trees summary statistics: height, splits HOT 2
- Matrices without colnames. HOT 2
- A check on inbag size would be nice
- Feature Request: inclusion of the trivial random forest model HOT 2
- compilation failed for package 'ranger' HOT 2
- Clarify Gini index calculation HOT 2
- What is the difference between case.weights, class.weights and sample.fraction? HOT 1
- Identifying out-of-bag observations for each tree HOT 4
- parallel execution of importance_pvalues HOT 1
- Simple fix for installation issue found? HOT 1
- consistent errors with ranger on MacBook Pro Sonoma 14.1.1 HOT 1
- Create a list of forks, extensions etc.
- Multicollinearity and Variable Importance HOT 2
- Error: Too many levels in unordered categorical variable. Only 63 levels allowed on this system. Ranger will EXIT now. HOT 3
- Ranger does not throw an error when predicting with a categorical variable with new/unseen categories HOT 1
- Major Performance Degradation when mtry Parameter is Large HOT 2
- FindBestSplit of C++ version may not find the best split HOT 1
- Question about Calculation of Feature Importance in Regression HOT 1
- Order of feature in formula seems to matter (last place, particularly) HOT 6
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