Crab - A Recommendation Engine library for Python
Crab is a ﬂexible, fast recommender engine for Python that integrates classic information ﬁltering recommendation algorithms in the world of scientiﬁc Python packages (numpy, scipy, matplotlib). The engine aims to provide a rich set of components from which you can construct a customized recommender system from a set of algorithms.
For Usage and Instructions checkout the Crab Wiki
The project was started in 2010 by Marcel Caraciolo as a M.S.C related project, and since then many people interested joined to help in the project. It is currently maintained by a team of volunteers, members of the Python-Recsys Labs.
Please submit bugs you might encounter, as well Patches and Features Requests to the Issues Tracker located at GitHub.
See the AUTHORS.rst file for a complete list of contributors.
If you want to submit a patch to this project, it is AWESOME. Follow this guide:
- Fork Crab
- Make your alterations and commit
- Create a topic branch - git checkout -b my_branch
- Push to your branch - git push origin my_branch
- Create a Pull Request from your branch.
- You just contributed to the Crab project!
The required dependencies to build the software are Python >= 2.6, setuptools, Numpy >= 1.3, SciPy >= 0.7 and a working C/C++ compiler. This configuration matches the Ubuntu 10.04 LTS release from April 2010.
To run the tests you will also need nose >= 0.10.
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
After installation, you can launch the test suite from outside the source directory (you will need to have nosetest installed)::
python -c "import crab; crab.test()"
Or you can test by calling::
See web page http://python-recsys.github.com/install.html#testing for more information.
Please check our Wiki wiki, for further information on how to start developing or use Crab in your projects.
Copyright (c) 2012, Python Recsys Labs
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the Muriçoca Labs nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL MURIÇOCA LABS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.