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.
Release files for groupyr 0.3.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| groupyr-0.3.4.tar.gz | 262.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| groupyr-0.3.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 332.5 kB
Release files / groupyr-0.3.4.tar.gz
| Download URL | groupyr-0.3.4.tar.gz |
|---|---|
| Size | 262.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
56f9b7e7bd1142dad20b9279d62e612891f66111241fbb69803b901d3949e9e2
|
|
BLAKE2b-256 checksum How to use checksums |
f13ae7e69923ab97e4952b9d47bae01e0428f340f3d407ecaaf6e13d2ac69ca2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
|
Release files / groupyr-0.3.4-py3-none-any.whl
| Download URL | groupyr-0.3.4-py3-none-any.whl |
|---|---|
| Size | 70.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d98268e325eb55a9561de0586da637dac15d49af322306aae816449bc731de23
|
|
BLAKE2b-256 checksum How to use checksums |
684062ef43659e25290b88aa04ba3852e5340d2403fa501bf597d70efc3a5696
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
|
Security for groupyr 0.3.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
