There are different ways to install scikit-learn:
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- 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).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. Sims 4 for mac.
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¶
Logitech wireless performance mouse mx for mac. 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¶
Mac to pc file converter. 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:
_ipyw_jlab_nb_ext_conf
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.
Zoo tycoon 2 mac download reddit. Note that those solvers are not enabled by default, please refer to thedaal4py documentationfor more details.
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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¶
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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:Download Anaconda Python For Windows 10
In this case it is possible to lift that limit in the Windows registry byusing the
regedit
tool:Anaconda Mac Download
- 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):