scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See the AUTHORS.rst file for a complete list of contributors.
It is currently maintained by a team of volunteers.
Note scikit-learn was previously referred to as scikits.learn.
Important links
Official source code repo: https://github.com/scikit-learn/scikit-learn
HTML documentation (stable release): http://scikit-learn.org
HTML documentation (development version): http://scikit-learn.org/dev/
Download releases: http://sourceforge.net/projects/scikit-learn/files/
Issue tracker: https://github.com/scikit-learn/scikit-learn/issues
Mailing list: https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
IRC channel: #scikit-learn at irc.freenode.net
Dependencies
The required dependencies to build the software are Python >= 2.6, setuptools, Numpy >= 1.3, SciPy >= 0.7 and a working C/C++ compiler.
For running the examples Matplotlib >= 0.99.1 is required and for running the tests you need nose >= 0.10.
This configuration matches the Ubuntu 10.04 LTS release from April 2010.
Install
This package uses distutils, which is the default way of installing python modules. To install in your home directory, use:
python setup.py install --home
To install for all users on Unix/Linux:
python setup.py build sudo python setup.py install
Development
Code
GIT
You can check the latest sources with the command:
git clone git://github.com/scikit-learn/scikit-learn.git
or if you have write privileges:
git clone git@github.com:scikit-learn/scikit-learn.git
Testing
After installation, you can launch the test suite from outside the source directory (you will need to have nosetests installed):
$ nosetests --exe sklearn
See the web page http://scikit-learn.org/stable/install.html#testing for more information.
Random number generation can be controlled during testing by setting the SKLEARN_SEED environment variable.
9 maintainers
Release files for scikit-learn 0.13.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scikit-learn-0.13.1.tar.gz | 3.5 MB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scikit-learn-0.13.1.win32-py2.7.exe | Details | |||
| scikit-learn-0.13.1.win32-py2.6.exe | Details |
Total release size: 7.8 MB
Release files / scikit-learn-0.13.1.tar.gz
| Download URL | scikit-learn-0.13.1.tar.gz |
|---|---|
| Size | 3.5 MB |
| Tags | Source |
|
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Release files / scikit-learn-0.13.1.win32-py2.7.exe
| Download URL | scikit-learn-0.13.1.win32-py2.7.exe |
|---|---|
| Size | 2.2 MB |
| Tags | Source |
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Release files / scikit-learn-0.13.1.win32-py2.6.exe
| Download URL | scikit-learn-0.13.1.win32-py2.6.exe |
|---|---|
| Size | 2.2 MB |
| Tags | Source |
|
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