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49 lines (49 loc) · 1.67 KB
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cff-version: 1.2.0
message: If you use ECabc, please cite the JOSS paper and this software.
title: "ECabc: A feature tuning program focused on Artificial Neural Network hyperparameters"
type: software
authors:
- family-names: Sharma
given-names: Sanskriti
orcid: https://orcid.org/0000-0002-9884-7351
- family-names: Gelaf-Romer
given-names: Hernan
orcid: https://orcid.org/0000-0003-0690-576X
- family-names: Kessler
given-names: Travis
orcid: https://orcid.org/0000-0002-7363-4050
email: travis.j.kessler@gmail.com
- family-names: Mack
given-names: John Hunter
orcid: https://orcid.org/0000-0002-5455-8611
version: 3.0.2
license: MIT
repository-code: https://github.com/ecrl/ecabc
url: https://pypi.org/project/ecabc/
abstract: >-
ECabc is an open-source Python package that tunes parameters of user-supplied
objective functions using the Artificial Bee Colony (ABC) algorithm.
keywords:
- artificial bee colony
- hyperparameter optimization
- optimization
preferred-citation:
type: article
authors:
- family-names: Sharma
given-names: Sanskriti
orcid: https://orcid.org/0000-0002-9884-7351
- family-names: Gelaf-Romer
given-names: Hernan
orcid: https://orcid.org/0000-0003-0690-576X
- family-names: Kessler
given-names: Travis
orcid: https://orcid.org/0000-0002-7363-4050
- family-names: Mack
given-names: John Hunter
orcid: https://orcid.org/0000-0002-5455-8611
title: "ECabc: A feature tuning program focused on Artificial Neural Network hyperparameters"
journal: Journal of Open Source Software
year: 2019
doi: 10.21105/joss.01420
url: https://doi.org/10.21105/joss.01420