Abstract
SAND2025-07645O
Conin is a Python library that supports constrained analysis of probabilistic graphical models (PGMs). It enables constrained inference and learning for hidden Markov models, Bayesian networks, dynamic Bayesian networks, and Markov networks. Conin interfaces with the pgmpy library to specify general probabilistic graphical models with a variety of optimization solvers to support learning and inference. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
- Developers:
-
Hart, William [1][2][3] ; Mattes, Connor [1][2][3] ; Qiu, Frank [1][2][3]
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Release Date:
- 2025-05-21
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
Python
- Version:
- 1.0.0
- Licenses:
-
BSD 3-clause "New" or "Revised" License
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:NA0003525
- Code ID:
- 162488
- Site Accession Number:
- SCR #3226.0
- Research Org.:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Country of Origin:
- United States
Citation Formats
Hart, William, Mattes, Connor, and Qiu, Frank.
Conin.
Computer Software.
https://github.com/sandialabs/conin.
USDOE.
21 May. 2025.
Web.
doi:10.11578/dc.20250904.10.
Hart, William, Mattes, Connor, & Qiu, Frank.
(2025, May 21).
Conin.
[Computer software].
https://github.com/sandialabs/conin.
https://doi.org/10.11578/dc.20250904.10.
Hart, William, Mattes, Connor, and Qiu, Frank.
"Conin." Computer software.
May 21, 2025.
https://github.com/sandialabs/conin.
https://doi.org/10.11578/dc.20250904.10.
@misc{
doecode_162488,
title = {Conin},
author = {Hart, William and Mattes, Connor and Qiu, Frank},
abstractNote = {SAND2025-07645O
Conin is a Python library that supports constrained analysis of probabilistic graphical models (PGMs). It enables constrained inference and learning for hidden Markov models, Bayesian networks, dynamic Bayesian networks, and Markov networks. Conin interfaces with the pgmpy library to specify general probabilistic graphical models with a variety of optimization solvers to support learning and inference. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.},
doi = {10.11578/dc.20250904.10},
url = {https://doi.org/10.11578/dc.20250904.10},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20250904.10}},
year = {2025},
month = {may}
}