Support Vector Machine

This repository is a simple Python implementation of SVM, using cvxopt as base solver.

• Linear SVM for 2 classes
• Kernel SVM for 2 classes
• Multi classification

Example

svm.py works as an entry point. Just run

python example.py

Python environment

It's recommended to install a virtual environment

virtualenv -p python3 env

For activating the virtual environment,

source env/bin/activate

To deactivate, just run deactivate.

Then, you need to install the requirements

pip install -r requirements.txt

You can install just the requirements if you don't want to create a virtual environment.