https://github.com/koukyosyumei/senjyu

parallel machine learning with MPI
https://github.com/koukyosyumei/senjyu

machine-learning mpi mpi4py parallel-computing parallel-machine-learning parallel-programming random-forest

Last synced: 4 months ago
JSON representation

parallel machine learning with MPI

• Host: GitHub
• URL: https://github.com/koukyosyumei/senjyu
• Owner: Koukyosyumei
• License: apache-2.0
• Created: 2021-07-30T03:06:19.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-07-30T05:33:48.000Z (almost 4 years ago)
• Last Synced: 2025-01-11T12:35:36.308Z (5 months ago)
• Topics: machine-learning, mpi, mpi4py, parallel-computing, parallel-machine-learning, parallel-programming, random-forest
• Language: Python
• Homepage:
• Size: 16.6 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Senjyu

Senjyu is a framework for parallel machine learning using MPI.

## supported algorithms

| algorithm     | example                                  |

| ------------- | ---------------------------------------- |

| Random Forest | [example](examples/test_randomforest.py) |

| K-means       | Coming Soon                              |

## example

You can easily experiment paralell random forest on iris dataset.

    mpiexec -np 3 python examples/test_randomforest.py