尝试安装 scikit-learn 时出现“UnsatisfiableError”

Question

我需要 sklearn，这就是为什么我尝试使用

conda install scikit-learn

在我的 conda 环境中安装 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-learn

或

conda install -c conda-forge scikit-learn

，也会出现同样的情况。怎么解决这个问题？

Answer 1

好吧，问题是我的环境运行的是 Python 3.9.0，但是

scikit-learn

与 3.9 不兼容，所以我创建了一个新的环境，同时特别提到了 Python 版本

conda create -n newEnv python=3.7.3

。我决定去 python 3.7.3，因为它已经存在于我的基础环境中，所以我就使用它。

Answer 2

我刚刚遇到这个问题，我的操作系统是Windows10。起初我尝试卸载 scikit-learn 包并重新安装，但失败了。然后我搜索了这个网站，它专注于使用wheel的python包。幸运的是，现在可以使用与 python3.9.0 兼容的 scikit-learn。下载正确的 Wheel 文件后，我 cd 进入下载文件夹并使用“pip install <wheel 文件名>”来安装它。它适合我的情况。为你祝福。