Support Vector Machines SVM are a group of classification algorithms that find a decision boundary that separates the data into different classes. The decision boundary is defined by a set of points called support vectors.
These methods evolved from what are known as maximum margin classifiers. Which solve a linear program to find a hyperplane that separates the data with the largest margin possible given some budget of misclassifications. See The following LP
Ensure the requirements are installed (see requirements.txt in the root project directory).
cd ../svm # Change to the directory containing the code from the root project directory
python svm.pyPretty picture in plots directory.