Python没有安装sklearn

Question

我正在使用 ubuntu 14。我已经为 sklearn 下载了 dpkg 包并将其解压缩。我尝试运行 sudo python setup.py install但它似乎陷入了一个循环

    compiling C++ sources
C compiler: c++ -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC

creating build/temp.linux-x86_64-2.7/sklearn/utils/src
compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
c++: sklearn/utils/src/MurmurHash3.cpp
c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/murmurhash.o build/temp.linux-x86_64-2.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-x86_64-2.7 -o build/lib.linux-x86_64-2.7/sklearn/utils/murmurhash.so
building 'sklearn.utils.lgamma' extension
compiling C sources
C compiler: x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC

compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
x86_64-linux-gnu-gcc: sklearn/utils/lgamma.c
x86_64-linux-gnu-gcc: sklearn/utils/src/gamma.c
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/lgamma.o build/temp.linux-x86_64-2.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-x86_64-2.7 -lm -o build/lib.linux-x86_64-2.7/sklearn/utils/lgamma.so
building 'sklearn.utils.graph_shortest_path' extension
compiling C sources
C compiler: x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
x86_64-linux-gnu-gcc: sklearn/utils/graph_shortest_path.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/graph_shortest_path.c:256:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/graph_shortest_path.c:257:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
 _import_umath(void)
 ^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-x86_64-2.7 -o build/lib.linux-x86_64-2.7/sklearn/utils/graph_shortest_path.so
building 'sklearn.utils.fast_dict' extension
compiling C++ sources
C compiler: c++ -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
c++: sklearn/utils/fast_dict.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/fast_dict.cpp:320:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
sklearn/utils/fast_dict.cpp: In function ‘PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)’:
sklearn/utils/fast_dict.cpp:18786:44: warning: ‘__pyx_v_min_key’ may be used uninitialized in this function [-Wmaybe-uninitialized]
             return PyInt_FromLong((long)val);
                                            ^
sklearn/utils/fast_dict.cpp:3316:46: note: ‘__pyx_v_min_key’ was declared here
   __pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key;
                                              ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/fast_dict.cpp:321:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h: At global scope:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘int _import_umath()’ defined but not used [-Wunused-function]
 _import_umath(void)
 ^

..并继续这样。

我已经安装了numpy，但是我是通过ubuntu的软件中心安装的。当我尝试在 python 中导入 sklearn 时，我得到

from sklearn.ensemble import RandomForestClassifier Traceback (most recent call last): File "", line 1, in File "sklearn/init.py", line 37, in from . import check_build File "sklearn/__check_build/__init.py", line 46, in raise_build_error(e) File "sklearn/check_build/__init.py", line 41, in raise_build_error %s""" % (e, local_dir, ''.join(dir_content).strip(), msg)) ImportError: No module named _check_build _______________________________________________________________________ Contents of sklearn/check_build: setup.py
__init.py _check_build.pyx _check_build.c setup.pyc init.pyc _______________________________________________________________________ It seems that scikit-learn has not been built correctly.

If you have installed scikit-learn from source, please do not forget to build the package before using it: run python setup.py install or make in the source directory.

If you have used an installer, please check that it is suited for your Python version, your operating system and your platform.

我不知道 sklearn/check_build 的位置。

我在/usr/lib/python2.7/dist-packages 中的文件夹是空的，但我可以在 python 中导入 numpy。就像我说的，我使用 ubuntu 软件中心安装了 numpy，但没有安装我现在后悔的 sklearn。

Answer 1

我建议使用 Anaconda 包安装 sklearn 和所有依赖项:https://www.continuum.io/downloads#_unix

它将与 numpy 和其他软件包一起安装，完整列表可在此处获得:http://docs.continuum.io/anaconda/pkg-docs