Scripts, code, and resources supporting a JBCA machine learning tutorial.
See http://www.jb.man.ac.uk/~cusworth/jacs.html for more information.
The scripts show how to build and evaluate classifiers in SciKit learn and in Matlab. Also provides code useful for visualising feature separability within Matlab. Python scripts designed to run on python 2.4 or later. Matlab scripts tested on Matlab 2014a.
This is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
Its distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
See http://www.gnu.org/licenses/ for more license details.
Author: Rob Lyon
Contact: [email protected] or [email protected]