我从一个使用scikit-learn-extra库的贡献者那里收到了一个python文件，当我试图安装它时，我得到了以下错误：
error: subprocess-exited-with-error
× Building wheel for scikit-learn-extra (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [49 lines of output]
C:\Users\bogda\AppData\Local\Temp\pip-build-env-0mronz9o\overlay\Lib\site-packages\setuptools\dist.py:775: UserWarning: Usage of dash-separated 'description-file' will not be supported in future versions. Please use the underscore name 'description_file' instead
warnings.warn(
running bdist_wheel
running build
running build_py
creating build
creating build\lib.win-amd64-cpython-310
creating build\lib.win-amd64-cpython-310\benchmarks
copying benchmarks\bench_rbfsampler_fastfood.py -> build\lib.win-amd64-cpython-310\benchmarks
copying benchmarks\__init__.py -> build\lib.win-amd64-cpython-310\benchmarks
creating build\lib.win-amd64-cpython-310\sklearn_extra
copying sklearn_extra\_version.py -> build\lib.win-amd64-cpython-310\sklearn_extra
copying sklearn_extra\__init__.py -> build\lib.win-amd64-cpython-310\sklearn_extra
creating build\lib.win-amd64-cpython-310\benchmarks\_bench
copying benchmarks\_bench\eigenpro_plot_mnist.py -> build\lib.win-amd64-cpython-310\benchmarks\_bench
copying benchmarks\_bench\eigenpro_plot_noisy_mnist.py -> build\lib.win-amd64-cpython-310\benchmarks\_bench
copying benchmarks\_bench\eigenpro_plot_synthetic.py -> build\lib.win-amd64-cpython-310\benchmarks\_bench
copying benchmarks\_bench\robust_plot_synthetic.py -> build\lib.win-amd64-cpython-310\benchmarks\_bench
copying benchmarks\_bench\__init__.py -> build\lib.win-amd64-cpython-310\benchmarks\_bench
creating build\lib.win-amd64-cpython-310\sklearn_extra\cluster
copying sklearn_extra\cluster\_commonnn.py -> build\lib.win-amd64-cpython-310\sklearn_extra\cluster
copying sklearn_extra\cluster\_k_medoids.py -> build\lib.win-amd64-cpython-310\sklearn_extra\cluster
copying sklearn_extra\cluster\__init__.py -> build\lib.win-amd64-cpython-310\sklearn_extra\cluster
creating build\lib.win-amd64-cpython-310\sklearn_extra\kernel_approximation
copying sklearn_extra\kernel_approximation\test_fastfood.py -> build\lib.win-amd64-cpython-310\sklearn_extra\kernel_approximation
copying sklearn_extra\kernel_approximation\_fastfood.py -> build\lib.win-amd64-cpython-310\sklearn_extra\kernel_approximation
copying sklearn_extra\kernel_approximation\__init__.py -> build\lib.win-amd64-cpython-310\sklearn_extra\kernel_approximation
creating build\lib.win-amd64-cpython-310\sklearn_extra\kernel_methods
copying sklearn_extra\kernel_methods\_eigenpro.py -> build\lib.win-amd64-cpython-310\sklearn_extra\kernel_methods
copying sklearn_extra\kernel_methods\__init__.py -> build\lib.win-amd64-cpython-310\sklearn_extra\kernel_methods
creating build\lib.win-amd64-cpython-310\sklearn_extra\robust
copying sklearn_extra\robust\mean_estimators.py -> build\lib.win-amd64-cpython-310\sklearn_extra\robust
copying sklearn_extra\robust\robust_weighted_estimator.py -> build\lib.win-amd64-cpython-310\sklearn_extra\robust
copying sklearn_extra\robust\__init__.py -> build\lib.win-amd64-cpython-310\sklearn_extra\robust
creating build\lib.win-amd64-cpython-310\sklearn_extra\tests
copying sklearn_extra\tests\test_common.py -> build\lib.win-amd64-cpython-310\sklearn_extra\tests
copying sklearn_extra\tests\__init__.py -> build\lib.win-amd64-cpython-310\sklearn_extra\tests
creating build\lib.win-amd64-cpython-310\sklearn_extra\cluster\tests
copying sklearn_extra\cluster\tests\test_commonnn.py -> build\lib.win-amd64-cpython-310\sklearn_extra\cluster\tests
copying sklearn_extra\cluster\tests\test_k_medoids.py -> build\lib.win-amd64-cpython-310\sklearn_extra\cluster\tests
copying sklearn_extra\cluster\tests\__init__.py -> build\lib.win-amd64-cpython-310\sklearn_extra\cluster\tests
creating build\lib.win-amd64-cpython-310\sklearn_extra\kernel_approximation\tests
copying sklearn_extra\kernel_approximation\tests\__init__.py -> build\lib.win-amd64-cpython-310\sklearn_extra\kernel_approximation\tests
creating build\lib.win-amd64-cpython-310\sklearn_extra\kernel_methods\tests
copying sklearn_extra\kernel_methods\tests\test_eigenpro.py -> build\lib.win-amd64-cpython-310\sklearn_extra\kernel_methods\tests
copying sklearn_extra\kernel_methods\tests\__init__.py -> build\lib.win-amd64-cpython-310\sklearn_extra\kernel_methods\tests
running build_ext
building 'sklearn_extra.utils._cyfht' extension
error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for scikit-learn-extra
Failed to build scikit-learn-extra
ERROR: Could not build wheels for scikit-learn-extra, which is required to install pyproject.toml-based projects我尝试安装Microsoft Visual C++的更高版本，但它不工作。在我的合作者的机器上，它的工作。他有一个linux操作系统。我也尝试通过下载仓库和运行python setup.py install安装，但我得到了这个错误：
Traceback (most recent call last):
File "C:\Users\bogda\Desktop\scikit-learn-extra-main\setup.py", line 8, in <module>
from Cython.Build import cythonize
ModuleNotFoundError: No module named 'Cython'
1条答案
按热度按时间ryevplcw1#
这个错误通常发生在scikit-learn-extra库所需的依赖项的安装有问题时。要解决这个错误，请尝试以下步骤：
检查scikit-learn-extra库文档中提到的要求，并确保所有必需的依赖项都安装在您的系统中。
尝试通过运行命令“pip install --upgrade pip”使用最新版本的pip安装库。
如果问题仍然存在，请尝试在虚拟环境中安装库，以避免与系统中安装的其他软件包发生任何冲突。
如果以上步骤不起作用，请尝试使用源代码安装库，方法是克隆存储库并运行“pythonsetup.pyinstall”。
如果以上步骤都不起作用，您可以尝试联系贡献者以获取更多信息或支持。