Groupyr
Groupyr: Sparse Group Lasso in Python - Published in JOSS (2021)
Science Score: 93.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 9 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org, zenodo.org -
○Committers with academic emails
-
○Institutional organization owner
-
✓JOSS paper metadata
Published in Journal of Open Source Software
Scientific Fields
Repository
groupyr: Sparse Group Lasso in Python
Basic Info
- Host: GitHub
- Owner: richford
- License: bsd-3-clause
- Language: Python
- Default Branch: main
- Homepage: https://richford.github.io/groupyr
- Size: 414 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Groupyr: Sparse Group Lasso in Python
Groupyr is a Python library for penalized regression of grouped covariates. This is the groupyr development site. You can view the source code, file new issues, and contribute to groupyr's development. If you just want to learn how to install and use groupyr, please look at the groupyr documentation.
Contributing
We love contributions! Groupyr is open source, built on open source, and we'd love to have you hang out in our community.
We have developed some guidelines for contributing to groupyr.
Citing groupyr
If you use groupyr in a scientific publication, please see cite us:
Richie-Halford et al., (2021). Groupyr: Sparse Group Lasso in Python. Journal of Open Source Software, 6(58), 3024, https://doi.org/10.21105/joss.03024
@article{richie-halford-groupyr,
doi = {10.21105/joss.03024},
url = {https://doi.org/10.21105/joss.03024},
year = {2021},
publisher = {The Open Journal},
volume = {6},
number = {58},
pages = {3024},
author = {Adam {R}ichie-{H}alford and Manjari Narayan and Noah Simon and Jason Yeatman and Ariel Rokem},
title = {{G}roupyr: {S}parse {G}roup {L}asso in {P}ython},
journal = {Journal of Open Source Software}
}
Acknowledgements
Groupyr development is supported through a grant from the Gordon and Betty Moore Foundation and from the Alfred P. Sloan Foundation to the University of Washington eScience Institute, as well as NIMH BRAIN Initiative grant 1RF1MH121868-01 to Ariel Rokem (University of Washington).
The API design of groupyr was facilitated by the scikit-learn project template and it therefore borrows heavily from scikit-learn. Groupyr relies on the copt optimization library for its solver. The groupyr logo is a flipped silhouette of an image from J. E. Randall and is licensed CC BY-SA.
Owner
- Name: Adam Richie-Halford
- Login: richford
- Kind: user
- Location: Seattle, WA
- Company: Stanford Universtiy
- Website: richiehalford.org
- Repositories: 103
- Profile: https://github.com/richford
JOSS Publication
Groupyr: Sparse Group Lasso in Python
Authors
eScience Institute, University of Washington
Department of Psychiatry and Behavioral Sciences, Stanford University
Department of Biostatistics, University of Washington
Graduate School of Education and Division of Developmental and Behavioral Pediatrics, Stanford University
Department of Psychology, University of Washington
Editor
Gabriela Alessio Robles
Tags
group lasso penalized regression classificationPapers & Mentions
Total mentions: 1
Multidimensional analysis and detection of informative features in human brain white matter
- DOI: 10.1371/journal.pcbi.1009136
- OpenAlex ID: https://openalex.org/W3173376743
- Published: June 2021
GitHub Events
Total
Last Year
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Adam Richie-Halford | r****d@g****m | 191 |
| Ariel Rokem | a****m@g****m | 24 |
| Kristen Thyng | k****g@g****m | 1 |
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 32
- Total pull requests: 53
- Average time to close issues: 28 days
- Average time to close pull requests: 1 day
- Total issue authors: 9
- Total pull request authors: 3
- Average comments per issue: 0.97
- Average comments per pull request: 1.68
- Merged pull requests: 50
- 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
- richford (20)
- JohannesWiesner (4)
- arokem (2)
- janfreyberg (1)
- bakerhassan (1)
- cruyffturn (1)
- jonas-hag (1)
- hillb13 (1)
- tim-oh (1)
Pull Request Authors
- richford (41)
- arokem (13)
- kthyng (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 265 last-month
- Total dependent packages: 1
- Total dependent repositories: 1
- Total versions: 25
- Total maintainers: 2
pypi.org: groupyr
groupyr: Sparse Groups Lasso in Python
- Homepage: https://richford.github.io/groupyr
- Documentation: https://groupyr.readthedocs.io/
- License: BSD License
-
Latest release: 0.3.4
published over 1 year ago
Rankings
Dependencies
- actions/checkout v2 composite
- actions/create-release v1 composite
- JamesIves/github-pages-deploy-action releases/v3 composite
- actions/checkout v1 composite
- actions/setup-python v1 composite
- actions/upload-artifact v1 composite
- actions/checkout master composite
- actions/setup-python v1 composite
- pypa/gh-action-pypi-publish master composite
- actions/checkout v1 composite
- actions/setup-python v1 composite