Published February 25, 2020
| Version 1.1.1
Software
Open
Pyglmnet: Python implementation of elastic-net regularized generalized linear models
Authors/Creators
-
Mainak Jas1
-
Titipat Achakulvisut2
- Aid Idrizović3
- Daniel E. Acuna4
- Matthew Antalek5
- Vinicius Marques3
- Tommy Odland6
- Ravi Prakash Garg5
- Mayank Agrawal7
- Yu Umegaki8
-
Peter Foley9
-
Hugo L Fernandes10
- Drew Harris11
- Beibin Li12
-
Olivier Pieters13
- Scott Otterson14
-
Giovanni De Toni15
-
Chris Rodgers16
- Eva Dyer17
- Matti Hamalainen1
- Konrad Kording2
-
Pavan Ramkumar18
- 1. Martinos Center of Biomedical Imaging
- 2. University of Pennsylvania
- 3. Loyola University
- 4. Syracuse University
- 5. Northwestern University
- 6. Sonat Consulting
- 7. Princeton University
- 8. NTT Data Mathematical Systems Inc
- 9. 605
- 10. Rockets of Awesome
- 11. Epoch Capital
- 12. University of Washington
- 13. Ghent University, Research Institute for Agriculture Fisheries and Food
- 14. Clean Power Research
- 15. University of Trento
- 16. Columbia University
- 17. Georgia Institute of Technology
- 18. System1 Biosciences Inc
Description
Pyglmnet is a Python library that provides an implementation of generalized linear models with advanced regularization methods, and a scikit-learn compatible API.
Files
glm-tools/pyglmnet-1.1.1.zip
Additional details
Related works
- Is supplement to
- https://github.com/glm-tools/pyglmnet/tree/1.1.1 (URL)