The easiest way to install the latest version from PyPI is by using pip.
There are different ways to install scikit-learn:
- Open the Command Prompt and navigate to the get-pip.py file. Run the following command: python get-pip.py; How to Install PIP on Mac. Modern Mac systems come with Python and PIP already installed. However, this version of Python tends to be outdated and not the best choice for serious Python development.
- Python and OS Compatibility¶. Pip works with CPython versions 2.7, 3.5, 3.6, 3.7, 3.8 and also PyPy. This means pip works on the latest patch version of each of.
- Get-pip.py is another way to install pip in MacOS. Get-pip.py is a Python script that will simply download and install the Pip package for Python. First, we will download the get-pip.py script with the curl command. We will provide the URL with the -o option where we will set the name of the downloaded get-pip.
- Pip free download - PiP, and many more programs. Pip free download - PiP, and many more programs. Var bingData =. Enter to Search. My Profile Logout.
- Install the latest official release. Thisis the best approach for most users. It will provide a stable versionand pre-built packages are available for most platforms.
- Install the version of scikit-learn provided by youroperating system or Python distribution.This is a quick option for those who have operating systems or Pythondistributions that distribute scikit-learn.It might not provide the latest release version.
- Building the package from source. This is best for users who want thelatest-and-greatest features and aren’t afraid of runningbrand-new code. This is also needed for users who wish to contribute to theproject.
Installing the latest release¶
Operating SystemPackager
Install the 64bit version of Python 3, for instance from https://www.python.org.Install Python 3 using homebrew (
brew install python
) or by manually installing the package from https://www.python.org.Install python3 and python3-pip using the package manager of the Linux Distribution.Install conda (no administrator permission required).Then run:
In order to check your installation you can use
Note that in order to avoid potential conflicts with other packages it isstrongly recommended to use a virtual environment, e.g. python3
virtualenv
(see python3 virtualenv documentation) or conda environments.Using an isolated environment makes possible to install a specific version ofscikit-learn and its dependencies independently of any previously installedPython packages.In particular under Linux is it discouraged to install pip packages alongsidethe packages managed by the package manager of the distribution(apt, dnf, pacman…).
Note that you should always remember to activate the environment of your choiceprior to running any Python command whenever you start a new terminal session.
If you have not installed NumPy or SciPy yet, you can also install these usingconda or pip. When using pip, please ensure that binary wheels are used,and NumPy and SciPy are not recompiled from source, which can happen when usingparticular configurations of operating system and hardware (such as Linux ona Raspberry Pi).
If you must install scikit-learn and its dependencies with pip, you can installit as
scikit-learn[alldeps]
.Scikit-learn plotting capabilities (i.e., functions start with “plot_”and classes end with “Display”) require Matplotlib (>= 2.1.1). For running theexamples Matplotlib >= 2.1.1 is required. A few examples requirescikit-image >= 0.13, a few examples require pandas >= 0.18.0, some examplesrequire seaborn >= 0.9.0.
Warning
Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4.Scikit-learn 0.21 supported Python 3.5-3.7.Scikit-learn 0.22 supported Python 3.5-3.8.Scikit-learn now requires Python 3.6 or newer.
Note
For installing on PyPy, PyPy3-v5.10+, Numpy 1.14.0+, and scipy 1.1.0+are required.
Third party distributions of scikit-learn¶
Some third-party distributions provide versions ofscikit-learn integrated with their package-management systems.
These can make installation and upgrading much easier for users sincethe integration includes the ability to automatically installdependencies (numpy, scipy) that scikit-learn requires.
The following is an incomplete list of OS and python distributionsthat provide their own version of scikit-learn.
Arch Linux¶
Arch Linux’s package is provided through the official repositories as
python-scikit-learn
for Python.It can be installed by typing the following command:Debian/Ubuntu¶
The Debian/Ubuntu package is splitted in three different packages called
python3-sklearn
(python modules), python3-sklearn-lib
(low-levelimplementations and bindings), python3-sklearn-doc
(documentation).Only the Python 3 version is available in the Debian Buster (the more recentDebian distribution).Packages can be installed using apt-get
:Fedora¶
The Fedora package is called
python3-scikit-learn
for the python 3 version,the only one available in Fedora30.It can be installed using dnf
:NetBSD¶
scikit-learn is available via pkgsrc-wip:
MacPorts for Mac OSX¶
The MacPorts package is named
py<XY>-scikits-learn
,where XY
denotes the Python version.It can be installed by typing the followingcommand:Canopy and Anaconda for all supported platforms¶
Canopy and Anaconda both ship a recentversion of scikit-learn, in addition to a large set of scientific pythonlibrary for Windows, Mac OSX and Linux.
Anaconda offers scikit-learn as part of its free distribution.
Intel conda channel¶
Intel maintains a dedicated conda channel that ships scikit-learn:
This version of scikit-learn comes with alternative solvers for some commonestimators. Those solvers come from the DAAL C++ library and are optimized formulti-core Intel CPUs.
Note that those solvers are not enabled by default, please refer to thedaal4py documentationfor more details.
Pip Software Download
Compatibility with the standard scikit-learn solvers is checked by running thefull scikit-learn test suite via automated continuous integration as reportedon https://github.com/IntelPython/daal4py.
WinPython for Windows¶
The WinPython project distributesscikit-learn as an additional plugin.
Troubleshooting¶
Error caused by file path length limit on Windows¶
It can happen that pip fails to install packages when reaching the default pathsize limit of Windows if Python is installed in a nested location such as the
AppData
folder structure under the user home directory, for instance:In this case it is possible to lift that limit in the Windows registry byusing the
regedit
tool:Download Pip
- Type “regedit” in the Windows start menu to launch
regedit
. - Go to the
ComputerHKEY_LOCAL_MACHINESYSTEMCurrentControlSetControlFileSystem
key. - Edit the value of the
LongPathsEnabled
property of that key and setit to 1. - Reinstall scikit-learn (ignoring the previous broken installation):
As a popular open source development project, Python has an activesupporting community of contributors and users that also make their softwareavailable for other Python developers to use under open source license terms.
This allows Python users to share and collaborate effectively, benefitingfrom the solutions others have already created to common (and sometimeseven rare!) problems, as well as potentially contributing their ownsolutions to the common pool.
This guide covers the installation part of the process. For a guide tocreating and sharing your own Python projects, refer to thedistribution guide.
Note
For corporate and other institutional users, be aware that manyorganisations have their own policies around using and contributing toopen source software. Please take such policies into account when makinguse of the distribution and installation tools provided with Python.
Key terms¶
pip
is the preferred installer program. Starting with Python 3.4, itis included by default with the Python binary installers.- A virtual environment is a semi-isolated Python environment that allowspackages to be installed for use by a particular application, rather thanbeing installed system wide.
venv
is the standard tool for creating virtual environments, and hasbeen part of Python since Python 3.3. Starting with Python 3.4, itdefaults to installingpip
into all created virtual environments.virtualenv
is a third party alternative (and predecessor) tovenv
. It allows virtual environments to be used on versions ofPython prior to 3.4, which either don’t providevenv
at all, oraren’t able to automatically installpip
into created environments.- The Python Packaging Index is a publicrepository of open source licensed packages made available for use byother Python users.
- the Python Packaging Authority is the group ofdevelopers and documentation authors responsible for the maintenance andevolution of the standard packaging tools and the associated metadata andfile format standards. They maintain a variety of tools, documentation,and issue trackers on both GitHub andBitbucket.
distutils
is the original build and distribution system first added tothe Python standard library in 1998. While direct use ofdistutils
isbeing phased out, it still laid the foundation for the current packagingand distribution infrastructure, and it not only remains part of thestandard library, but its name lives on in other ways (such as the nameof the mailing list used to coordinate Python packaging standardsdevelopment).
Changed in version 3.5: The use of
venv
is now recommended for creating virtual environments.Install Pip Mac
See also
Basic usage¶
The standard packaging tools are all designed to be used from the commandline.
The following command will install the latest version of a module and itsdependencies from the Python Packaging Index:
Note
For POSIX users (including Mac OS X and Linux users), the examples inthis guide assume the use of a virtual environment.
For Windows users, the examples in this guide assume that the option toadjust the system PATH environment variable was selected when installingPython.
It’s also possible to specify an exact or minimum version directly on thecommand line. When using comparator operators such as
>
, <
or some otherspecial character which get interpreted by shell, the package name and theversion should be enclosed within double quotes:Normally, if a suitable module is already installed, attempting to installit again will have no effect. Upgrading existing modules must be requestedexplicitly:
More information and resources regarding
pip
and its capabilities can befound in the Python Packaging User Guide.Creation of virtual environments is done through the
venv
module.Installing packages into an active virtual environment uses the commands shownabove.See also
How do I …?¶
These are quick answers or links for some common tasks.
… install pip
in versions of Python prior to Python 3.4?¶
Python only started bundling
pip
with Python 3.4. For earlier versions,pip
needs to be “bootstrapped” as described in the Python PackagingUser Guide.See also
… install packages just for the current user?¶
Passing the
--user
option to python-mpipinstall
will install apackage just for the current user, rather than for all users of the system.… install scientific Python packages?¶
A number of scientific Python packages have complex binary dependencies, andaren’t currently easy to install using
pip
directly. At this point intime, it will often be easier for users to install these packages byother meansrather than attempting to install them with pip
.See also
… work with multiple versions of Python installed in parallel?¶
On Linux, Mac OS X, and other POSIX systems, use the versioned Python commandsin combination with the
-m
switch to run the appropriate copy ofpip
:Download Pip Mac Terminal
Appropriately versioned
pip
commands may also be available.On Windows, use the
py
Python launcher in combination with the -m
switch:Common installation issues¶
Installing into the system Python on Linux¶
On Linux systems, a Python installation will typically be included as partof the distribution. Installing into this Python installation requiresroot access to the system, and may interfere with the operation of thesystem package manager and other components of the system if a componentis unexpectedly upgraded using
pip
.On such systems, it is often better to use a virtual environment or aper-user installation when installing packages with
pip
.Pip not installed¶
It is possible that
pip
does not get installed by default. One potential fix is:There are also additional resources for installing pip.
Installing binary extensions¶
![Install pip mac Install pip mac](/uploads/1/1/8/2/118237000/776833881.jpg)
Python has typically relied heavily on source based distribution, with endusers being expected to compile extension modules from source as part ofthe installation process.
With the introduction of support for the binary
wheel
format, and theability to publish wheels for at least Windows and Mac OS X through thePython Packaging Index, this problem is expected to diminish over time,as users are more regularly able to install pre-built extensions ratherthan needing to build them themselves.Some of the solutions for installing scientific softwarethat are not yet available as pre-built
wheel
files may also help withobtaining other binary extensions without needing to build them locally.See also