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GitHub / aksnzhy / xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aksnzhy%2Fxlearn

Stars: 3,079
Forks: 519
Open Issues: 194

License: apache-2.0
Language: C++
Repo Size: 10.7 MB
Dependencies: 9

Created: almost 7 years ago
Updated: 19 days ago
Last pushed: 9 months ago
Last synced: 17 days ago

Commit Stats

Commits: 1245
Authors: 30
Mean commits per author: 41.5
Development Distribution Score: 0.3
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/aksnzhy/xlearn

Topics: data-analysis, data-science, factorization-machines, ffm, fm, machine-learning, statistics

Files

Readme

Dependencies

R-package/DESCRIPTION cran

R >= 3.0.2 depends
Matrix * imports
knitr * suggests
rmarkdown * suggests
testthat * suggests

python-package/setup.py pypi

numpy *
scipy <1.3.0
scipy >=1.3.0

docker/Dockerfile docker

python 3.6 build