- Source
- Commits
- Network (17)
- Issues (2)
- Wiki (4)
- Graphs
-
Branch:
master
| name | age | message | |
|---|---|---|---|
| |
.gitignore | Sun Aug 08 06:37:46 -0700 2010 | |
| |
.mailmap | Tue Oct 05 07:21:50 -0700 2010 | |
| |
AUTHORS.rst | Wed Oct 06 05:16:14 -0700 2010 | |
| |
COPYING | Wed Jan 06 06:23:12 -0800 2010 | |
| |
MANIFEST.in | Mon Oct 11 02:07:56 -0700 2010 | |
| |
Makefile | Thu Oct 14 07:32:23 -0700 2010 | |
| |
README-py3k.rst | Tue Jul 27 00:42:50 -0700 2010 | |
| |
README.rst | Mon Oct 11 02:24:22 -0700 2010 | |
| |
doc/ | Tue Oct 12 08:10:00 -0700 2010 | |
| |
examples/ | Tue Oct 12 21:20:00 -0700 2010 | |
| |
scikits/ | Fri Oct 15 03:11:58 -0700 2010 | |
| |
setup.cfg | Thu Oct 14 07:32:23 -0700 2010 | |
| |
setup.py | Mon Oct 11 02:09:17 -0700 2010 | |
| |
site.cfg | Wed Jun 23 07:05:50 -0700 2010 |
About
scikits.learn is a python module for machine learning built on top of scipy.
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.
Download
You can download source code and Windows binaries from SourceForge:
Dependencies
The required dependencies to build the software are python >= 2.5, NumPy >= 1.1, SciPy >= 0.6 (although having at least 0.7 is highly recommended and required by some modules) and a working C++ compiler.
To run the tests you will also need nose >= 0.10.
Install
This packages uses distutils, which is the default way of installing python modules. The install command is:
python setup.py install
Mailing list
There's a general and development mailing list, visit https://lists.sourceforge.net/lists/listinfo/scikit-learn-general to subscribe to the mailing list.
IRC channel
Some developers tend to hang around the channel #scikit-learn at irc.freenode.net, especially during the week preparing a new release. If nobody is available to answer your questions there don't hesitate to ask it on the mailing list to reach a wider audience.
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
Bugs
Please submit bugs you might encounter, as well as patches and feature requests to the tracker located at the address https://sourceforge.net/apps/trac/scikit-learn/report
Testing
After installation, you can launch the test suite (you will need to have nosetest installed):
python -c "import scikits.learn as skl; skl.test()"
Note that this must be run from outisde the project's root directory. See web page http://scikit-learn.sourceforge.net/developers/ for complete documentation on developement