Probabilistic-Matrix-Factorization

(β˜… 178)

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

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Download Latest Version (.zip)
  • .gitignore
  • .travis.yml
  • LICENSE
  • LoadData.py
  • ProbabilisticMatrixFactorization.py
  • README.md
  • requirements.txt
  • RunExample.py
  • test_pmf.py

# Installation Guide

1. Get the code
git clone https://github.com/fuhailin/Probabilistic-Matrix-Factorization

Downloads the entire project code from GitHub to your computer.

cd Probabilistic-Matrix-Factorization

Moves into the project folder you just downloaded.

2. Python

Easy Recommended
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
pip install -r requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

python <μ‹€ν–‰ν•  파일λͺ…>.py # READMEμ—μ„œ μ •ν™•ν•œ μ‹€ν–‰ 파일λͺ…을 ν™•μΈν•˜μ„Έμš”

Runs the Python script (or module).

βœ… If it runs without errors and prints output in the terminal, it worked.

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// repository documentation