安装sklearn成功出现Version为0.0.post1运行报错no module named sklearn

博客讲述了在安装sklearn后运行时遇到nomodulenamedsklearn错误的情况。通过检查发现sklearn版本为0.0.post1,这不是有效版本。解决方法是使用特定命令重新安装scikit-learn:pip install scikit-learn-ihttp://pypi.douban.com/simple/--trusted-host pypi.douban.com。

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前提:
ljx
通过pip install sklearn指令安装成功了sklearn,但是运行的时候却依旧报错no module named sklearn。

查看sklearn的版本信息。发现是0.0.post1。
ljx
解决办法:
输入命令。

pip install scikit-learn -i http://pypi.douban.com/simple/ --trusted-host pypi.douban.com

ljx
就可以了。

(aa) PS D:\TW\TwinLiteNet-原版> pip install sklearn==0.0.post5 Looking in indexes: http://mirrors.aliyun.com/pypi/simple/ Collecting sklearn==0.0.post5 Using cached http://mirrors.aliyun.com/pypi/packages/7a/93/e0e1b1e98f39dfca7ec9795cb46f6e09e88a2fd5d4a28e4b3d1f618a2aec/sklearn-0.0.post5.tar.gz (3.7 kB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [18 lines of output] The 'sklearn' PyPI package is deprecated, use 'scikit-learn' rather than 'sklearn' for pip commands. Here is how to fix this error in the main use cases: - use 'pip install scikit-learn' rather than 'pip install sklearn' - replace 'sklearn' by 'scikit-learn' in your pip requirements files (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...) - if the 'sklearn' package is used by one of your dependencies, it would be great if you take some time to track which package uses 'sklearn' instead of 'scikit-learn' and report it to their issue tracker - as a last resort, set the environment variable SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error More information is available at https://github.com/scikit-learn/sklearn-pypi-package If the previous advice does not cover your use case, feel free to report it at https://github.com/scikit-learn/sklearn-pypi-package/issues/new [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed × Encountered error while generating package metadata. ╰─> See above for output. note: This is an issue with the package mentioned above, not pip. hint: See above for details.
03-22
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