如何在不同的作業系統上安裝Python Scikit-learn？

Scikit-learn，也被稱為Sklearn，是最有用且強大的開源Python庫，它實現了機器學習和統計建模演算法，包括分類、迴歸、聚類和降維，使用統一的介面。 Scikit-learn函式庫是用Python編寫的，並建立在其他Python套件（如NumPy（數值Python）和SciPy（科學Python））之上。

使用pip在Windows上安裝Scikit-learn

在Windows上安裝Scikit-learn，請依照下列步驟進行：

步驟1-確保Python和pip已預先安裝

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

如果您的系統上有Python，它將顯示已安裝的Python版本。如果沒有，您可以從https://www.php.cn/link/7fd3b80fb1884e2927df46a7139bb8bf手動安裝Python。

To check pip

pip --version

如果pip在您的系統上成功安裝，它將顯示其版本。

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上安裝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-確保已預先安裝Python和conda

在您的系統上開啟Anaconda命令提示符，然後輸入以下命令來檢查Python和conda是否已安裝。

To check Python

#

Python --version

如果您的系統上安裝了Python，則會顯示已安裝的Python版本。

檢查 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函式庫

如上所討論的，scikit-learn已經預先安裝在Anaconda Python環境中。使用以下指令檢查已安裝的scikit-learn函式庫的版本 -

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上安裝Scikit-learn，請依照下列步驟進行：

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，您可以從https://www.php.cn/link/7fd3b80fb1884e2927df46a7139bb8bf手動安裝Python。

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

在虛擬環境中在 macOS 上安裝 Scikit-learn

在虛擬環境中在macOS上安裝Scikit-learn，請依照下列步驟進行：

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，您可以從https://www.php.cn/link/7fd3b80fb1884e2927df46a7139bb8bf手動安裝Python。

Step2-建立pip虛擬環境

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-安裝Scikit-learn函式庫

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

pip install -U scikit-learn

要檢查您的安裝，請鍵入 -

python -m pip show scikit-learn

為了避免與其他已安裝的軟體包發生衝突，建議始終使用虛擬環境。

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。

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