https://github.com/srendle/libfm

Library for factorization machines
https://github.com/srendle/libfm

Last synced: about 1 month ago
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Library for factorization machines

• Host: GitHub
• URL: https://github.com/srendle/libfm
• Owner: srendle
• License: gpl-3.0
• Created: 2014-09-15T00:36:07.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2020-03-28T07:37:04.000Z (about 4 years ago)
• Last Synced: 2024-02-05T04:43:32.872Z (5 months ago)
• Language: C++
• Size: 120 KB
• Stars: 1,481
• Watchers: 72
• Forks: 415
• Open Issues: 21
• Metadata Files:
  • Readme: README.md
  • License: license.txt

Lists

• AI - libfm - A generic approach that allows to mimic most factorization models by feature engineering. (C++ / [Tools](#tools-1))
• awesome-machine-learning - libfm - A generic approach that allows to mimic most factorization models by feature engineering. (C++ / [Tools](#tools-1))
• awesome-machine-learning - libfm - A generic approach that allows to mimic most factorization models by feature engineering. (C++)
• awesome-machine-learnings - libfm - A generic approach that allows to mimic most factorization models by feature engineering. (C++ / [Tools](#tools-1))
• awesome-machine-learning - libfm - A generic approach that allows to mimic most factorization models by feature engineering. (C++ / [Tools](#tools-1))
• awesome-machine-learning - libfm - A generic approach that allows to mimic most factorization models by feature engineering. (C++ / [Tools](#tools-1))
• alex-mikhalev-awesome-stars - libfm - Library for factorization machines (C++)
• awesome-machine-learning - libfm - A generic approach that allows to mimic most factorization models by feature engineering. (C++ / Tools)
• awesome-machine-learning - libfm - A generic approach that allows to mimic most factorization models by feature engineering. (C++ / Tools)

README

        
libFM

=====

Library for factorization machines

web: http://www.libfm.org/

forum: https://groups.google.com/forum/#!forum/libfm

Factorization machines (FM) are a generic approach that allows to mimic most factorization models by feature engineering. This way, factorization machines combine the generality of feature engineering with the superiority of factorization models in estimating interactions between categorical variables of large domain. libFM is a software implementation for factorization machines that features stochastic gradient descent (SGD) and alternating least squares (ALS) optimization as well as Bayesian inference using Markov Chain Monte Carlo (MCMC).

Compile

=======

libFM has been tested with the GNU compiler collection and GNU make. libFM and the tools can be compiled with

> make all

Usage

=====

Please see the [libFM 1.4.2 manual](http://www.libfm.org/libfm-1.42.manual.pdf) for details about how to use libFM. If you have questions, please visit the [forum](https://groups.google.com/forum/#!forum/libfm).