我想安装scikit-learn,但我不能这样做。我使用最新的Fedora。要安装scikit-learn,我会这样做。
pip install scikit-learn
我收到错误:
g++ -pthread -shared -Wl,-z,relro -specs=/usr/lib/rpm/redhat/redhat-hardened-ld build/temp.linux-x86_64-3.4/sklearn/svm/liblinear.o build/temp.linux-x86_64-3.4/sklearn/svm/src/liblinear/tron.o build/temp.linux-x86_64-3.4/sklearn/svm/src/liblinear/linear.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-3.4 -lcblas -lm -lpython3.4m -o build/lib.linux-x86_64-3.4/sklearn/svm/liblinear.cpython-34m.so
/usr/bin/ld: cannot find -lcblas
collect2: error: ld returned 1 exit status
Partial import of sklearn during the build process.
error: Command "g++ -pthread -shared -Wl,-z,relro -specs=/usr/lib/rpm/redhat/redhat-hardened-ld build/temp.linux-x86_64-3.4/sklearn/svm/liblinear.o build/temp.linux-x86_64-3.4/sklearn/svm/src/liblinear/tron.o build/temp.linux-x86_64-3.4/sklearn/svm/src/liblinear/linear.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-3.4 -lcblas -lm -lpython3.4m -o build/lib.linux-x86_64-3.4/sklearn/svm/liblinear.cpython-34m.so" failed with exit status 1
/usr/bin/ld: cannot find -lcblas
collect2: error: ld returned 1 exit status
----------------------------------------
Command "/home/mstankiewicz/.virtualenvs/sus/bin/python3 -c "import setuptools, tokenize;__file__='/tmp/pip-build-4scm2pb_/scikit-learn/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-8fh7u6fy-record/install-record.txt --single-version-externally-managed --compile --install-headers /home/mstankiewicz/.virtualenvs/sus/include/site/python3.4/scikit-learn" failed with error code 1 in /tmp/pip-build-4scm2pb_/scikit-learn
我试图安装地图集,就像我在谷歌上找到的那样,但它没有帮助
sudo dnf -y install atlas3gf-base atlas-devel
答案 0 :(得分:1)
我在Fedora 24上遇到了类似的问题。
Atlas改变了他们的图书馆。见Fedora Mailing list。
谢天谢地,fedora的repo中有一个包,运行:
# dnf install python2-scikit-learn.x86_64
答案 1 :(得分:-1)
您可能需要先安装一些依赖项。
sudo dnf install atlas lapack atlas-devel blas-devel gcc-gfortran jupyter ipython fftw fftw-devel
编辑:最佳做法是使用虚拟python环境管理。你可以安装Annaconda来做它。