Scikit-learn，也被称为Sklearn，是最有用和强大的开源Python库，它实现了机器学习和统计建模算法，包括分类、回归、聚类和降维，使用统一的接口。Scikit-learn库是用Python编写的，并建立在其他Python包（如NumPy（数值Python）和SciPy（科学Python））之上。
使用pip在Windows上安装Scikit-learn
在Windows上安装Scikit-learn，请按照以下步骤进行操作：
步骤1-确保Python和pip已预安装
Open the command prompt on your system and type the following commands to check whether Python and pip is installed or not.
To check Python
Python --version
如果您的系统上有Python，它将显示已安装的Python版本。如果没有，您可以从https://www.php.cn/link/7fd3b80fb1884e2927df46a7139bb8bf手动安装Python。
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To check pip
pip --version
如果pip在您的系统上成功安装，它将显示其版本。
Step2-Install Scikit-learn Library
Scikit-learn can be installed using pip. You can run the following command in command prompt to install scikit-learn −
pip install scikit-learn
The above command will start downloading and installing packages related to the Scikit-learn Python library. Once done, it will display the message of successful installation.
使用conda在Windows上安装Scikit-learn
Anaconda, a python distribution platform, offers scikit-learn as part of its free distribution.
You can update the scikit-learn package with the help of below given steps −
Step1-确保已预安装Python和conda
在您的系统上打开Anaconda命令提示符，然后输入以下命令来检查Python和conda是否已安装。
To check Python
Python --version
如果您的系统上安装了Python，则会显示已安装的Python版本。
检查 conda
conda --version
If conda is successfully installed on your system, it will display its version. It is always recommended to update conda to its latest version by using the following command −
conda update conda
Step2-更新Scikit-learn库
如上所讨论的，scikit-learn已经预装在Anaconda Python环境中。使用以下命令检查已安装的scikit-learn库的版本 -
conda list scikit-learn
It will display the version of scikit-learn installed on your system in Anaconda distribution.
Now to update it to the latest version, type the following command at the terminal −
conda update scikit-learn
Alternatively, you can update scikit-learn library to a specific version by typing −
conda install -c anaconda scikit-learn=1.0.2
The above command will start downloading and installing packages related to the Scikit-learn Python library. Once done, it will display the message of successful installation.
Installing Scikit-learn on macOS
在macOS上安装Scikit-learn，请按照以下步骤进行：
Step1-Install Python 3 using homebrew package manager
Before installing scikit-learn on your macOS, you need Python 3 preinstalled. Use homebrew package manager to install Python3.
brew install python
或者，您可以从https://www.php.cn/link/7fd3b80fb1884e2927df46a7139bb8bf手动安装Python。
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Step2-Install Scikit-learn Library
Scikit-learn can be installed using pip. You can run the following command to install the latest release of scikit-learn −
pip install -U scikit-learn
The above command will start downloading and installing packages related to the Scikit-learn Python library. Once done, it will display the message of successful installation.
Use the below command to check your installation −
python -m pip show scikit-learn
在虚拟环境中在 macOS 上安装 Scikit-learn
在虚拟环境中在macOS上安装Scikit-learn，请按照以下步骤进行操作：
Step1-Install Python 3 using homebrew package manager
Before installing scikit-learn on your macOS, you need Python 3 preinstalled. Use homebrew package manager to install Python3.
brew install python
或者，您可以从https://www.php.cn/link/7fd3b80fb1884e2927df46a7139bb8bf手动安装Python。
Step2-创建pip虚拟环境
Once python is installed on your system, you need to create a virtual environment by typing −
python -m venv sklearn-venv
The above command will create a virtual environment named Sklearn-venv. To activate this virtual environment, type −
source Sklearn-venv/bin/activate
第三步-安装Scikit-learn库
You can now use pip to install the latest release of scikit-learn in above created virtual environment.
pip install -U scikit-learn
要检查您的安装，请键入 -
python -m pip show scikit-learn
为了避免与其他已安装的软件包发生冲突，建议始终使用虚拟环境。
在Linux上安装Scikit-learn
在Linux发行版上安装Scikit-learn，请按照以下步骤进行操作−
Step1-Make Sure Python3 and pip3 is preinstalled
在您的系统上打开命令提示符，并输入以下命令以检查是否已安装Python3和pip3。
To check Python
Python3 --version
如果您的系统上安装了Python，则会显示已安装的Python版本。
如果没有，请运行以下命令安装Python3 −
sudo apt-get install python3.6
The above command will install Python 3.6 on Ubuntu 16.10 or newer.
To check pip
To see if pip3 is installed, open a command prompt, run the below command −
command -v pip3
如果pip在您的系统上成功安装，它将显示其版本。
Step2-Install Scikit-learn Library
输入并运行以下命令，以在您的Linux发行版上安装最新版本的scikit-learn −
Pip3 install -U scikit-learn
You can use the below command to check scikit-learn installation −
Python3 -m pip show scikit-learn
Installing Scikit-learn on Linux in virtual environment
To install Scikit-learn on Linux in virtual environment, follow the steps given below:
Step1-Make Sure Python3 and pip3 is preinstalled
在您的系统上打开命令提示符，并输入以下命令以检查是否已安装Python3和pip3。
To check Python
Python3 --version
如果您的系统上安装了Python，则会显示已安装的Python版本。
如果没有，请运行以下命令安装Python3 −
sudo apt-get install python3.6
The above command will install Python 3.6 on Ubuntu 16.10 or newer.
To check pip
To see if pip3 is installed, open a command prompt, run the below command −
command -v pip3
如果pip在您的系统上成功安装，它将显示其版本。
Step2-创建pip虚拟环境
通过输入以下命令创建一个虚拟环境 -
python3 -m venv sklearn-venv
The above command will create a virtual environment named Sklearn-venv. To activate this virtual environment, type −
source Sklearn-venv/bin/activate
第三步-安装Scikit-learn库
You can now use pip to install the latest release of scikit-learn in above created virtual environment.
Pip3 install -U scikit-learn
要检查您的安装，请运行以下命令 -
Python3 -m pip show scikit-learn
为了避免与其他已安装的软件包发生冲突，建议始终使用虚拟环境。
