Comments (4)
Your gcc version is too old to support C++11. You will need to upgrade to 4.7 or newer.
@ALL: Any idea how to check for this and throw an error?
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This works, but:
Found the following file(s) containing GNU extensions:
src/Makevars
Portable Makefiles do not use GNU extensions such as +=, :=, $(shell),
$(wildcard), ifeq ... endif. See section ‘Writing portable packages’ in
the ‘Writing R Extensions’ manual.
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New approach: Use std=c++11 flag instead of CXX_STD = CXX11, should work on gcc >=4.7 and throw an error on earlier versions. But this time:
Non-portable flags in variable 'PKG_CPPFLAGS':
-std=c++11
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And one more approach: Created a cpp file checking for the preprocessor directive "__cplusplus". Seems to work.
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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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