Repository and Package Name changed to sklearn-lvq!
Scikit-learn compatible implementation of GLVQ, GRLVQ, GMLVQ, LGMLVQ RSLVQ, MRSLVQ and LMRSLVQ.
Compatible with Python2.7 and Python3.6
This implementation is based on the Matlab implementation provided by Biehl, Schneider and Bunte (http://matlabserver.cs.rug.nl/gmlvqweb/web/)
- scikit-learn (http://scikit-learn.org/)
- documentation (https://mrnuggelz.github.io/sklearn-lvq/)
Before you can install this module you need to install numpy and scipy:
pip install numpy scipy
To install this module run:
python setup.py install
or
pip install sklearn-lvq
To run the examples matplotlib is needed
pip install matplotlib
The examples can be found in the examples directory.
Requires installation of nose package.
pip install nose
Tests are located in the sklearn_lvq/tests folder
and can be run with the nosetests command in the main directory.
To build the documentation locally, ensure that you have sphinx, sphinx-gallery, pillow, sphinx_rt_theme, metric_learn and matplotlib by executing:
pip install sphinx pillow sphinx-gallery sphinx_rtd_theme metric_learn