Skip to content

Implementation of Soft margin svm using Interior Point Methods (1.Barrier method, 2.Primal-Dual method)

Notifications You must be signed in to change notification settings

msdkhairi/svm-ipm

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 

Repository files navigation

solving SVM using interior point methods

In the notebook svm_IPmethods.ipynb, Interior Point Methods are used to solve SVM. Two methods are implemented:

  • Barrier method
  • PDIP (Primal-Dual Interior Point method)

These methods are techniques to solve quadratic programming(QP) problems and Since support vector machines (SVM) can be solved by QP, they have been used. For more information about these methods, you can refer to chapter 11 of Convex Optimization book by Stephen Boyd.

About

Implementation of Soft margin svm using Interior Point Methods (1.Barrier method, 2.Primal-Dual method)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published