Abstract
Interactive machine learning interface
Our invention allows the user to interact with individual instances, see recommendations for similar items, and make
adjustments. The scalable nature of our solution allows it to perform instantaneously from the user's perspective, even for
100K+ data items.
- Developers:
-
Arendt, Dustin [1] ; Grace, Emily [1] ; Volkova, Svitlana [1]
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Release Date:
- 2018-04-24
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Licenses:
-
BSD 2-clause "Simplified" License
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC05-76RL01830
- Code ID:
- 10736
- Site Accession Number:
- Battelle IPID 31250-E
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Country of Origin:
- United States
Citation Formats
Arendt, Dustin, Grace, Emily, and Volkova, Svitlana.
pnnl/chissl.
Computer Software.
https://github.com/pnnl/chissl.
USDOE.
24 Apr. 2018.
Web.
doi:10.11578/dc.20240614.16.
Arendt, Dustin, Grace, Emily, & Volkova, Svitlana.
(2018, April 24).
pnnl/chissl.
[Computer software].
https://github.com/pnnl/chissl.
https://doi.org/10.11578/dc.20240614.16.
Arendt, Dustin, Grace, Emily, and Volkova, Svitlana.
"pnnl/chissl." Computer software.
April 24, 2018.
https://github.com/pnnl/chissl.
https://doi.org/10.11578/dc.20240614.16.
@misc{
doecode_10736,
title = {pnnl/chissl},
author = {Arendt, Dustin and Grace, Emily and Volkova, Svitlana},
abstractNote = {Interactive machine learning interface
Our invention allows the user to interact with individual instances, see recommendations for similar items, and make
adjustments. The scalable nature of our solution allows it to perform instantaneously from the user's perspective, even for
100K+ data items.},
doi = {10.11578/dc.20240614.16},
url = {https://doi.org/10.11578/dc.20240614.16},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240614.16}},
year = {2018},
month = {apr}
}