'UnsatisfiableError' 在尝试安装 scikit-learn 时

'UnsatisfiableError' while trying to install scikit-learn

我需要 sklearn,这就是为什么我尝试使用 conda install scikit-learn 在我的 conda env 中安装 scikit-learn 但结果是:

Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \ 
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
failed                                                                            

UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:

Specifications:

  - scikit-learn -> python[version='>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|>=3.5,<3.6.0a0']

Your python: python=3.9

If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.

The following specifications were found to be incompatible with your system:

  - feature:/linux-64::__cuda==9.1=0
  - feature:|@/linux-64::__cuda==9.1=0

Your installed version is: 9.1

如果我尝试 conda install -c anaconda scikit-learnconda install -c conda-forge scikit-learn,也会出现同样的情况。如何解决?

好的,所以问题是我的环境是 运行 Python 3.9.0 但 scikit-learn 与 3.9 不兼容所以我创建了一个新的环境,同时特别提到Python 版本由 conda create -n newEnv python=3.7.3 python 3.7.3 在我的基础环境中 运行 所以我选择了它。

我刚遇到这个问题,我的OS是Windows10。起初我尝试卸载 scikit-learn 包并重新安装它,但它失败了。然后我搜索了这个 website ,它专注于使用 wheel 的 python 包。幸运的是 scikit-learn 兼容 python3.9.0 现在可用。下载正确的 wheel 文件后,我将 cd 放入下载文件夹并使用 'pip install <wheel file name>' 进行安装。它适用于我的情况。祝福你。