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python - 将 sklearn 从 0.14.1 升级到 0.16.1 不工作

转载 作者:太空宇宙 更新时间:2023-11-04 03:27:44 25 4
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我需要将我的 sklearn 安装升级到 0.14.1,因为我当前的版本没有 agglomerative clustering .

我下载了 0.16.1 的源代码,将其解压缩并在文件夹中以这种方式使用 pip 运行安装:

sudo pip install .

尽管在下面的摘录中提示缺少 map 集

Installing collected packages: scikit-learn
Found existing installation: scikit-learn 0.14.1
Not uninstalling scikit-learn at /usr/lib/python2.7/dist-packages, owned by OS
Running setup.py install for scikit-learn
Partial import of sklearn during the build process.
blas_opt_info:
blas_mkl_info:
libraries mkl,vml,guide not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
NOT AVAILABLE

openblas_info:
libraries not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
NOT AVAILABLE

atlas_blas_threads_info:
Setting PTATLAS=ATLAS
libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
NOT AVAILABLE

atlas_blas_info:
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
NOT AVAILABLE

/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1521: UserWarning:
Atlas (http://math-atlas.sourceforge.net/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [atlas]) or by setting
the ATLAS environment variable.
warnings.warn(AtlasNotFoundError.__doc__)
blas_info:
FOUND:
libraries = ['blas']
library_dirs = ['/usr/lib']
language = f77

FOUND:
libraries = ['blas']
library_dirs = ['/usr/lib']
define_macros = [('NO_ATLAS_INFO', 1)]
language = f77

sklearn/setup.py:73: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
warnings.warn(BlasNotFoundError.__doc__)
unifing config_cc, config, build_clib, build_ext, build commands --compiler options

安装成功提示:

Successfully installed scikit-learn
Cleaning up...

然而,安装后检查 scikit-learn 版本显示为 0.14,并且导入 AgglomerativeClustering 失败。你能帮我吗?

最佳答案

aptpip 都是包管理器,可用于全局安装 python 包。经验法则:切勿混用试图安装到同一目录中的两个包管理器。

在这种情况下,pip 足够聪明,不会破坏 apt 的安装,因此旧版本在更新后仍然存在。最简单的修复方法是先执行 apt-get remove python-sklearn

更好的方法是在安装包时严格区分aptpip。我建议根本不要使用 sudo pip。在这种情况下,只允许 apt 全局安装 python 包。在本地,您可以直接或通过 anaconda 使用 virtualenv 创建隔离环境,您可以在其中安装最新的软件包。

关于python - 将 sklearn 从 0.14.1 升级到 0.16.1 不工作,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/32316328/

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