将sklearn从0.14.1升级到0.16.1无法正常工作

Question

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聚合集群。

我下载了0.16.1的源代码，提取它，并在我使用pip运行安装的文件夹中:

sudo pip install .

尽管抱怨缺少地图集，如以下摘录

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

安装显示成功消息:

Successfully installed scikit-learn
Cleaning up...

然而，在安装后检查scikit-learn版本显示0.14，并且导入agglomerativecluster失败。你能帮忙吗?

Answer 1

apt和pip都是包管理器，可用于全局安装python包。经验法则:永远不要把两个试图安装到相同目录的包管理器混在一起。

在这种情况下，pip足够聪明，不会破坏apt的安装，因此更新后旧版本仍然存在。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分离apt和pip。我建议不要使用sudo pip。在这种情况下，只允许apt全局安装python包。在本地，您可以直接使用virtualenv或通过anaconda创建可以安装最新软件包的隔离环境。