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).
To install Scikit-learn on Windows, please follow these steps:
Open the command prompt on your system and type the following commands to check whether Python and pip is installed or not.
Python --version
If you have Python on your system, it will show the installed Python version. If not, you can install Python manually from //m.sbmmt.com/link/7fd3b80fb1884e2927df46a7139bb8bf.
pip --version
If pip is successfully installed on your system, it will display its version.
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.
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 −
Open Anaconda command prompt on your system and enter the following command to check whether Python and conda are installed.
Python --version
If Python is installed on your system, the installed Python version will be displayed.
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
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.
To install Scikit-learn on macOS, please follow the steps below:
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 //m.sbmmt.com/link/7fd3b80fb1884e2927df46a7139bb8bf.
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
To install Scikit-learn on macOS in a virtual environment, follow these steps:
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 //m.sbmmt.com/link/7fd3b80fb1884e2927df46a7139bb8bf.
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
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发行版上安装Scikit-learn，请按照以下步骤进行操作−
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。
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 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。
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
To install Scikit-learn on Linux in virtual environment, follow the steps given below:
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。
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 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。
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
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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