Skip to content

aurora1625/lightning

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

lightning

Large-scale sparse linear classification and regression in Python/Cython.

Dependencies

The required dependencies to build the software are Python >= 2.6, setuptools, Numpy >= 1.3, SciPy >= 0.7, scikit-learn (git version), Cython >= 0.15.1 and a working C/C++ compiler.

To run the tests you will also need nose >= 0.10.

Install

First run:

make cython

Then 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

Citation

If you used lightning in your research, please consider citing the following paper:

Block Coordinate Descent Algorithms for Large-scale Sparse Multiclass Classification. [BibTeX]
Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara.
Machine Learning, May 2013.

For more information, see http://www.mblondel.org/journal/2013/05/12/large-scale-sparse-multiclass-classification/

About

Large-scale sparse linear classification and regression in Python/Cython.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published