glmpca

generalized principal component analysis (GLM-PCA) implemented in python

https://github.com/willtownes/glmpca-py

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.5%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

generalized principal component analysis (GLM-PCA) implemented in python

Basic Info
  • Host: GitHub
  • Owner: willtownes
  • License: lgpl-3.0
  • Language: Python
  • Default Branch: master
  • Size: 26.4 KB
Statistics
  • Stars: 60
  • Watchers: 1
  • Forks: 8
  • Open Issues: 10
  • Releases: 0
Created almost 7 years ago · Last pushed over 5 years ago
Metadata Files
Readme License

README.md

Python package: glmpca

Build Status

Generalized PCA for non-normally distributed data. If you find this useful please cite Feature Selection and Dimension Reduction based on a Multinomial Model.

An R implementation is also available.

Install

The release version of glmpca package can be installed from pypi

python pip3 install glmpca

The development version can be installed from github

python pip3 install git+https://github.com/willtownes/glmpca-py.git@master

Issues and bug reports

Please use https://github.com/willtownes/glmpca-py/issues to submit issues, bug reports, and comments.

Owner

  • Name: Will Townes
  • Login: willtownes
  • Kind: user
  • Location: Pittsburgh, PA
  • Company: Carnegie Mellon University

Assistant Professor of Statistics and Data Science

GitHub Events

Total
  • Watch event: 4
  • Fork event: 1
Last Year
  • Watch event: 4
  • Fork event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 20
  • Total Committers: 2
  • Avg Commits per committer: 10.0
  • Development Distribution Score (DDS): 0.1
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Will Townes w****s@g****m 18
Jan Lause j****e@u****e 2
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 16
  • Total pull requests: 1
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 7 days
  • Total issue authors: 9
  • Total pull request authors: 1
  • Average comments per issue: 2.63
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • willtownes (5)
  • batson (3)
  • jlause (2)
  • fedeago (1)
  • AngCamp (1)
  • arutik (1)
  • flying-sheep (1)
  • hyhuang00 (1)
  • les-klimczak (1)
Pull Request Authors
  • jlause (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 160 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 5
  • Total versions: 1
  • Total maintainers: 1
pypi.org: glmpca

Generalized PCA for dimension reduction of non-normally distributed data

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 5
  • Downloads: 160 Last month
Rankings
Dependent repos count: 6.7%
Stargazers count: 9.2%
Dependent packages count: 10.0%
Forks count: 11.9%
Average: 15.4%
Downloads: 39.4%
Maintainers (1)
Last synced: 11 months ago

Dependencies

setup.py pypi
  • scipy *
  • statsmodels *