Abstract
SAND2021-4723 O CausalFS is a Python package that evaluates causal relationships between dataset features and the metric to be predicted. 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:
-
Nguyen, Bernard [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:
- 2021-09-08
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
Python
- Version:
- 1.0
- Licenses:
-
BSD 3-clause "New" or "Revised" License
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:NA0003525
- Code ID:
- 67591
- Site Accession Number:
- SCR #2622
- Research Org.:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Country of Origin:
- United States
Citation Formats
Nguyen, Bernard.
CausalFS.
Computer Software.
https://github.com/sandialabs/CausalFS.
USDOE.
08 Sep. 2021.
Web.
doi:10.11578/dc.20211202.5.
Nguyen, Bernard.
(2021, September 08).
CausalFS.
[Computer software].
https://github.com/sandialabs/CausalFS.
https://doi.org/10.11578/dc.20211202.5.
Nguyen, Bernard.
"CausalFS." Computer software.
September 08, 2021.
https://github.com/sandialabs/CausalFS.
https://doi.org/10.11578/dc.20211202.5.
@misc{
doecode_67591,
title = {CausalFS},
author = {Nguyen, Bernard},
abstractNote = {SAND2021-4723 O CausalFS is a Python package that evaluates causal relationships between dataset features and the metric to be predicted. 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.20211202.5},
url = {https://doi.org/10.11578/dc.20211202.5},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20211202.5}},
year = {2021},
month = {sep}
}