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本次安装是在Anaconda的虚拟环境下进行
首先打开Anaconda Prompt (Anaconda),输入以下命令激活自己创建的虚拟环境DL
conda activate DL
查看python包安装情况,查看是否已经安装scikit-learn
pip list
或者直接查看
pip show scikit-learn
若显示WARNING: Package(s) not found: scikit-learn
,则未安装
https://www.lfd.uci.edu/~gohlke/pythonlibs/#scikit-learn
选择这个最新版本
scikit_learn‑1.1.1‑cp39‑cp39‑win_amd64.whl
pip install ‘scikit_learn‑1.1.1‑cp39‑cp39‑win_amd64.whl存放的位置’
比如我存放在如下
(DL) C:\Users\re>pip install E:\whl\scikit_learn-1.1.1-cp39-cp39-win_amd64.whl Processing e:\whl\scikit_learn-1.1.1-cp39-cp39-win_amd64.whl Requirement already satisfied: numpy>=1.17.3 in e:\anaconda\envs\dl\lib\site-packages (from scikit-learn==1.1.1) (1.21.5) Collecting scipy>=1.3.2 (from scikit-learn==1.1.1) Downloading scipy-1.11.1-cp39-cp39-win_amd64.whl (44.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.1/44.1 MB 188.6 kB/s eta 0:00:00 Collecting joblib>=1.0.0 (from scikit-learn==1.1.1) Downloading joblib-1.3.1-py3-none-any.whl (301 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 302.0/302.0 kB 172.8 kB/s eta 0:00:00 Collecting threadpoolctl>=2.0.0 (from scikit-learn==1.1.1) Downloading threadpoolctl-3.2.0-py3-none-any.whl (15 kB) Collecting numpy>=1.17.3 (from scikit-learn==1.1.1) Downloading numpy-1.25.1-cp39-cp39-win_amd64.whl (15.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.1/15.1 MB 230.9 kB/s eta 0:00:00 Installing collected packages: threadpoolctl, numpy, joblib, scipy, scikit-learn Attempting uninstall: numpy Found existing installation: numpy 1.21.5 Uninstalling numpy-1.21.5: Successfully uninstalled numpy-1.21.5 Successfully installed joblib-1.3.1 numpy-1.25.1 scikit-learn-1.1.1 scipy-1.11.1 threadpoolctl-3.2.0
安装成功
(DL) C:\Users\re>pip show scikit-learn
Name: scikit-learn
Version: 1.1.1
Summary: A set of python modules for machine learning and data mining
Home-page: http://scikit-learn.org
Author:
Author-email:
License: new BSD
Location: e:\anaconda\envs\dl\lib\site-packages
Requires: joblib, numpy, scipy, threadpoolctl
Required-by:
安装无误
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