scikit-learn - 尝试安装 scikit-learn 时出现“UnsatisfiableError”

Question

我需要 sklearn，这就是为什么我尝试在我的 conda env 中安装 scikit-learn，conda install 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

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

标签： scikit-learncondasklearn-pandas

Answer 1

好的，所以问题是我的环境正在运行 Python 3.9.0 但scikit-learn与 3.9 不兼容，所以我创建了一个新环境，同时特别提到 conda create -n newEnv python=3.7.3 python 3.7.3 的 Python 版本在我的基本环境中运行，所以我选择了它。