SVM ALGORITHM

SVM.py:

• Input: document-term matrix
• Output: trained model and predictions with model
• Overview: Contains an svm class use to build, train and predict a given data set. It also has a function for creating the confusion matrix

Packages:

The following packages are required:

• numpy for scientific computing
• scipy for mathematics, science and engineering calculations

CITATIONS:

I consulted a matlab code from Machine Learning course on coursera taught by Stanford University professor Andrew Ng.

Reference

• Sequential Minimal Optimization- A Fast Algorithm for Training Support Vector Machines
• CS 229, Autumn 2009 | The Simplified SMO Algorithm