将 sklearn 从 0.14.1 升级到 0.16.1 不起作用 [英] upgrading sklearn from 0.14.1 to 0.16.1 not working

问题描述

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 凝聚聚类.

I need to upgrade my sklearn installation to 0.14.1 since my current version doesn't have agglomerative clustering.

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

I downloaded the source for 0.16.1, extract it and within the folder I run the installation with pip this way:

sudo pip install .

尽管在以下摘录中抱怨缺少地图集

Despite complaining about missing atlas as in the following extract

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

安装显示成功信息:

Successfully installed scikit-learn
Cleaning up...

但是在安装后检查 scikit-learn 版本显示为 0.14 并且导入 AgglomerativeClustering 失败.你能帮我吗?

Yet checking the scikit-learn version after installation is showing 0.14 and importing the AgglomerativeClustering is failing. Can you help?

推荐答案

apt 和 pip 都是包管理器，可用于全局安装 python 包.经验法则:切勿将试图安装到相同目录的两个包管理器混在一起.

apt and pip are both package managers that can be used to install python packages globally. Rule of thumb: Never mix two package managers that try to install into the same directories.

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.最简单的解决方法是先执行 apt-get remove python-sklearn.

In this case pip was smart enough not to break the installation by apt and therefore the old version was still present after the update. The simplest fix is to do apt-get remove python-sklearn first.

更好的方法是在安装包时将 apt 和 pip 严格分开.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 来创建可以安装最新软件包的隔离环境.

A better way is to strictly separate apt and pip when installing packages. I would recommend not to use sudo pip at all. In this scenario only apt is allowed to install python packages globally. Locally you can use virtualenv either directly or through anaconda to create isolated environments in which you can install the latest packages.

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