There are different ways to install scikit-learn:
So before installing Python packages with Homebrew, the default Python is installed in /usr/bin which is shipped with your macOS (e.g. Python 2.7.10 on High Sierra). Any versions found in /usr/local (such as /usr/local/bin ) are provided by external packages. Alpine Linux x86/x8664 Downloads Alpine Linux armhf Downloads MAC OS X Downloads Solaris Downloads FreeBSD Downloads OpenBSD Downloads. For Raspberry Pi 2/3, use Linux armhf/aarch64 downloads. See Chilkat2 Python vs CkPython for information about the differences between the two flavors of Chilkat Python API's.
- 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.
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.
![Python on mac Python on mac](/uploads/1/2/8/3/128332658/342093795.jpg)
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:- 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):
Note
Check out our guide for installing Python 3 on OS X.
Mac OS X comes with Python 2.7 out of the box.
You do not need to install or configure anything else to use Python. Having saidthat, I would strongly recommend that you install the tools and librariesdescribed in the next section before you start building Python applications forreal-world use. In particular, you should always install Setuptools, as it makesit much easier for you to install and manage other third-party Python libraries.
The version of Python that ships with OS X is great for learning, but it’s notgood for development. The version shipped with OS X may be out of date from theofficial current Python release,which is considered the stable production version.
Doing it Right¶
Let’s install a real version of Python.
![Sierra Sierra](/uploads/1/2/8/3/128332658/311461709.jpg)
Before installing Python, you’ll need to install a C compiler. The fastest wayis to install the Xcode Command Line Tools by running
xcode-select--install
. You can also download the full version ofXcode from the Mac App Store, or theminimal but unofficialOSX-GCC-Installerpackage.Note
If you already have Xcode installed, do not install OSX-GCC-Installer.In combination, the software can cause issues that are difficult todiagnose.
Note
If you perform a fresh install of Xcode, you will also need to add thecommandline tools by running
xcode-select--install
on the terminal.While OS X comes with a large number of Unix utilities, those familiar withLinux systems will notice one key component missing: a decent package manager.Homebrew fills this void.
To install Homebrew, open
Terminal
oryour favorite OS X terminal emulator and runThe script will explain what changes it will make and prompt you before theinstallation begins.Once you’ve installed Homebrew, insert the Homebrew directory at the topof your
PATH
environment variable. You can do this by adding the followingline at the bottom of your ~/.profile
fileNow, we can install Python 2.7:
Because
python@2
is a “keg”, we need to update our PATH
again, to point at our new installation:Homebrew names the executable
python2
so that you can still run the system Python via the executable python
.Setuptools & Pip¶
Homebrew installs Setuptools and
pip
for you.Setuptools enables you to download and install any compliant Pythonsoftware over a network (usually the Internet) with a single command(
easy_install
). It also enables you to add this network installationcapability to your own Python software with very little work.pip
is a tool for easily installing and managing Python packages,that is recommended over easy_install
. It is superior to easy_install
in several ways,and is actively maintained.Virtual Environments¶
A Virtual Environment (commonly referred to as a ‘virtualenv’) is a tool to keep the dependencies required by different projectsin separate places, by creating virtual Python environments for them. It solves the“Project X depends on version 1.x but, Project Y needs 4.x” dilemma, and keepsyour global site-packages directory clean and manageable.
Python 2.7 Download Mac
For example, you can work on a project which requires Django 1.10 while alsomaintaining a project which requires Django 1.8.
Download Python Mac
To start using this and see more information: Virtual Environments docs.
Mac Upgrade Python 3
This page is a remixed version of another guide,which is available under the same license.