Published February 23, 2020
| Version 1.1.1
Software
Open
Pyglmnet: Python implementation of elastic-net regularized generalized linear models
Creators
- Pavan Ramkumar1
- Mainak Jas2
- Titipat Achakulvisut3
- Aid Idrizović4
- Matthew Antalek5
- Daniel E. Acuna6
- Vinicius Marques4
- Tommy Odland7
- Ravi Prakash Garg5
- Mayank Agrawal8
- Hugo L Fernandes9
- Peter Foley10
- Olivier Pieters11
- Giovanni De Toni12
- Scott Otterson13
- Drew Harris14
- Chris Rodgers15
- Beibin Li16
- Eva Dyer17
- Yu Umegaki18
- Matti Hamalainen2
- Konrad Kording3
- 1. System1 Biosciences Inc
- 2. Martinos Center of Biomedical Imaging
- 3. University of Pennsylvania
- 4. Loyola University
- 5. Northwestern University
- 6. Syracuse University
- 7. Sonat Consulting
- 8. Princeton University
- 9. Rockets of Awesome
- 10. 605
- 11. Ghent University, Research Institute for Agriculture Fisheries and Food
- 12. University of Trento
- 13. Clean Power Research
- 14. Epoch Capital
- 15. Columbia University
- 16. University of Washington
- 17. Georgia Institute of Technology
- 18. NTT Data Mathematical Systems Inc
Description
- Graceful handling of small Hessian term in coordinate descent solver that led to exploding update term
- Ensure full compatibility of
GLM
class withscikit-learn
Files
glm-tools/pyglmnet-1.1.1.zip
Files
(991.0 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/glm-tools/pyglmnet/tree/1.1.1 (URL)