How to install Python Scikit-learn on different operating systems?

Scikit-learn, also known as Sklearn, is the most useful and powerful open source Python library that implements machine learning and Statistical modeling algorithms, including classification, regression, clustering, and dimensionality reduction, use a unified interface. The Scikit-learn library is written in Python and built on top of other Python packages such as NumPy (Numerical Python) and SciPy (Scientific Python).

Install Scikit-learn on Windows using pip

To install Scikit-learn on Windows, please follow these steps:

Step 1 - Make sure Python and pip are pre-installed

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

If you have Python on your system, it will show the installed Python version. If not, you can install Python manually from https://www.php.cn/link/7fd3b80fb1884e2927df46a7139bb8bf.

To check pip

pip --version

If pip is successfully installed on your system, it will display its version.

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.

Install Scikit-learn on Windows using conda

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-Make sure Python and conda are pre-installed

Open Anaconda command prompt on your system and enter the following command to check whether Python and conda are installed.

To check Python

Python --version

If Python is installed on your system, the installed Python version will be displayed.

Check 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-Update Scikit-learn library

As discussed above, scikit-learn comes pre-installed in the Anaconda Python environment. Check the version of the installed scikit-learn library using the following command -

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

To install Scikit-learn on macOS, please follow the steps below:

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

Alternatively, you can install Python manually from https://www.php.cn/link/7fd3b80fb1884e2927df46a7139bb8bf.

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

Installing Scikit-learn on macOS in a virtual environment

To install Scikit-learn on macOS in a virtual environment, follow these steps:

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

Alternatively, you can install Python manually from https://www.php.cn/link/7fd3b80fb1884e2927df46a7139bb8bf.

Step2-Create pip virtual environment

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

Step 3-Install Scikit-learn library

You can now use pip to install the latest release of scikit-learn in above created virtual environment.

pip install -U scikit-learn

To check your installation, type -

python -m pip show scikit-learn

To avoid conflicts with other installed packages, it is recommended to always use a virtual environment.

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。

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