Skip to content

Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python.

Notifications You must be signed in to change notification settings

Cun-Jiang/Parallel-SGD

 
 

Repository files navigation

Parallel-SGD

Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python.

Please see Benchmark notebook for characterization of 5 techniques showing their speed-up and accuracy. PSGD5, based on 'Hogwild!', performs the best with no loss of accuracy.

This project is a work-in-progress for a feature request on SciKit-Learn: #1174

Team Members

About

Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 90.4%
  • C 4.7%
  • Jupyter Notebook 2.7%
  • C++ 1.7%
  • PowerShell 0.2%
  • Shell 0.1%
  • Other 0.2%