Rcpp jupyter 笔记本

Question

我已经使用此命令在 R 控制台中安装了 Rcpp，该命令直到现在通常用于安装要在 jupyter 笔记本上运行的软件包:

install.packages('Rcpp', '/home/user/anaconda3/lib/R/library/')

然后在控制台我做:

library(Rcpp)
evalCpp("2+2")

它可以工作，但是当我在 Jupyter notebooks 上做同样的事情时它不起作用，给我这个错误信息:

/home/tyatabe/anaconda3/bin/x86_64-conda_cos6-linux-gnu-c++ -I/home/tyatabe/anaconda3/lib/R/include -DNDEBUG -I'/home/tyatabe/anaconda3/lib/R/library/SimInf/include' -I"/home/tyatabe/anaconda3/lib/R/library/Rcpp/include" -I"/tmp/RtmpC4usUT/sourceCpp-x86_64-conda_cos6-linux-gnu-0.12.15" -D_FORTIFY_SOURCE=2 -O2 -I/home/tyatabe/anaconda3/include -fpic -O3 -mtune=native -march=native -Wno-unused-variable -Wno-unused-function -flto -ffat-lto-objects -Wno-unused-local-typedefs -Wno-ignored-attributes -Wno-deprecated-declarations -c file345f2e80a7c7.cpp -o file345f2e80a7c7.o /home/tyatabe/anaconda3/lib/R/etc/Makeconf:167: recipe for target 'file345f2e80a7c7.o' failed Error in sourceCpp(code = code, env = env, rebuild = rebuild, cacheDir = cacheDir, : Error 1 occurred building shared library. Traceback:

1. evalCpp("2+2")
2. cppFunction(code, depends = depends, plugins = plugins, includes = includes, . env = env, rebuild = rebuild, cacheDir = cacheDir, showOutput = showOutput, . verbose = verbose)
3. sourceCpp(code = code, env = env, rebuild = rebuild, cacheDir = cacheDir, . showOutput = showOutput, verbose = verbose)
4. stop("Error ", status, " occurred building shared library.")

WARNING: The tools required to build C++ code for R were not found.

Please install GNU development tools including a C++ compiler.

我在装有 Ubuntu 16.04 的 64 位机器上运行。

关于如何让 Rcpp 在 jupyter 上工作有什么想法吗？

谢谢，

多田

Answer 1

正如@DirkEddelbuettel 提到的...Anaconda 在 Ubuntu 上并不理想...

如果您真的想要进行此设置，Rcpp FAQ 中有一个最近的条目关于编译器和 Anaconda...特别是，我们有:

In a comment to issue ticket#770 it is stated that running

sh conda install gxx_linux-64

helps within this enivronment as it installs the corresponding x86_64-conda_cos6-linux-gnu-c++ compiler.