Abstract
SAND2021-14370 O Tesuract (tensor surrogate approximation and computation) provides Python tools to build machine learning regressors that include polynomial chaos expansions. The software also offers methods for creation regressors for tensor outputs such as spatially varying fields and using a reduced order modeling methodology. The library is built on and compatible with the scikit-learn API, which allows integration with one of the most ubiquitous machine learning Python libraries out there. 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:
-
Chowdhary, Kamaljit [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:
- 2021-10-06
- 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:
- 72641
- Site Accession Number:
- SCR 2694.0
- Research Org.:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Country of Origin:
- United States
Citation Formats
Chowdhary, Kamaljit.
tesuract v.1.0.
Computer Software.
https://github.com/sandialabs/tesuract.
USDOE.
06 Oct. 2021.
Web.
doi:10.11578/dc.20220405.1.
Chowdhary, Kamaljit.
(2021, October 06).
tesuract v.1.0.
[Computer software].
https://github.com/sandialabs/tesuract.
https://doi.org/10.11578/dc.20220405.1.
Chowdhary, Kamaljit.
"tesuract v.1.0." Computer software.
October 06, 2021.
https://github.com/sandialabs/tesuract.
https://doi.org/10.11578/dc.20220405.1.
@misc{
doecode_72641,
title = {tesuract v.1.0},
author = {Chowdhary, Kamaljit},
abstractNote = {SAND2021-14370 O Tesuract (tensor surrogate approximation and computation) provides Python tools to build machine learning regressors that include polynomial chaos expansions. The software also offers methods for creation regressors for tensor outputs such as spatially varying fields and using a reduced order modeling methodology. The library is built on and compatible with the scikit-learn API, which allows integration with one of the most ubiquitous machine learning Python libraries out there. 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.20220405.1},
url = {https://doi.org/10.11578/dc.20220405.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20220405.1}},
year = {2021},
month = {oct}
}