hao-peng / ADVGP

Asynchronous Distributed Variational Gaussian Processes for Regression

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

This is the code for the paper: Asynchronous Distributed Variational Gaussian Processes for Regression, H. Peng, S. Zhe, X. Zhang and Y. Qi. Accepted by Thirty-fourth International Conference on Machine Learning (ICML 2017) , August 2017.

Warning: this is only an experimental code for illustration purpose

Intallation guide:

  • Copy folder gp/ and file Makefile to ps-lite.
  • In ADVGP folder: export CPLUS_INCLUDE_PATH=$PWD/eigen
  • Go to folder ps-lite and compile using make/cmake. PS-lite may use wget to download some other softwares. See more information about ps-lite about how to install ps-lite
  • Go to folder ps-lite/gp/, test with "run.sh"

Contact:

For direct contact, please contact Hao (pengh [at] alumni {dot} purdue.edu

License:

Apache for ps-lite MPL2 for Eigen GPL3.0 for ADVGP

About

Asynchronous Distributed Variational Gaussian Processes for Regression

License:Other


Languages

Language:C++ 66.8%Language:MATLAB 28.6%Language:Makefile 3.0%Language:Shell 1.5%