glm-tools / pyglmnet
Python implementation of elastic-net regularized generalized linear models
Why this job: works in the areas we cover, but does not say which job it does
What it does
Newton update, active sets, update caching, and warm restarts. This optimization approach is identical to the one used in R package.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 days ago
- Stars
- 288
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 1.1.1
- Released 6 years ago
- Built with
- Python
- 97% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 83% closed
- 33 still open
- Pull requests
- 170 merged
- 7 waiting
- Releases
- 3
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 97%
- TeX 2%
- Makefile 1%
Topics
- glm
- machine-learning
- elastic-net
- data-science
- python
- lasso
Project record
- JobOther AI tools
- StatusListed
- Commits861
- Forks86
- Watching12
- Stars in 28 days0
- CreatedApr 2, 2016
- First seen by usNov 7, 2026
- CheckedNov 9, 2026

