== Support Vector Machines in Python ==
Author: Jeremy Stober Contact: email@example.com Version: 0.1
This is a simple support vector machine implementation based on the primal form of SVMs for linearly separable problems, and problems that also require slack variables. I used Bishop's PRML text as a basis for this implementation. This is meant as a guide for the basic ideas behind support vector machiens. The CVXOPT library is used for solving the quadratic program at the heart of the SVM.