NiaAML
NiaAML: AutoML framework based on stochastic population-based nature-inspired algorithms - Published in JOSS (2021)
Science Score: 87.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in JOSS metadata -
○Academic links in README
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○Committers with academic emails
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○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords from Contributors
automl
classification-pipelines
nature-inspired-algorithms
swarm-intelligence
data-mining
association-rule-mining
association-rules
evolutionary-algorithms
optimization-algorithms
uncertainty-quantification
Last synced: 10 months ago
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JSON representation
JOSS Publication
NiaAML: AutoML framework based on stochastic population-based nature-inspired algorithms
Published
May 23, 2021
Volume 6, Issue 61, Page 2949
Authors
Luka Pečnik
University of Maribor, Faculty of Electrical Engineering and Computer Science
University of Maribor, Faculty of Electrical Engineering and Computer Science
Iztok Fister
University of Maribor, Faculty of Electrical Engineering and Computer Science
University of Maribor, Faculty of Electrical Engineering and Computer Science
Editor
Arfon Smith
Tags
AutoML classification hyperparameter optimization nature-inspired algorithmsCommitters
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Luka Pečnik | l****6@g****m | 188 |
| firefly-cpp | i****k@i****u | 34 |
| Adi Singh | 1****3 | 8 |
| allcontributors[bot] | 4****] | 6 |
| zStupan | z****n@g****m | 3 |
| luka.pecnik | l****k@k****i | 3 |
| Benjamin A. Beasley | c****e@m****t | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 23
- Total pull requests: 58
- Average time to close issues: 3 months
- Average time to close pull requests: about 18 hours
- Total issue authors: 7
- Total pull request authors: 7
- Average comments per issue: 1.83
- Average comments per pull request: 0.22
- Merged pull requests: 58
- Bot issues: 0
- Bot pull requests: 3
Past Year
- Issues: 1
- Pull requests: 3
- Average time to close issues: N/A
- Average time to close pull requests: 42 minutes
- Issue authors: 1
- Pull request authors: 2
- Average comments per issue: 1.0
- Average comments per pull request: 0.33
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- firefly-cpp (14)
- sisco0 (3)
- carlosal1015 (1)
- rhododendrom (1)
- adi3 (1)
- musicinmybrain (1)
- hanamthang (1)
Pull Request Authors
- lukapecnik (25)
- firefly-cpp (24)
- lahovniktadej (4)
- allcontributors[bot] (3)
- zStupan (2)
- musicinmybrain (2)
- adi3 (1)
Top Labels
Issue Labels
enhancement (2)
documentation (1)
Pull Request Labels
Packages
- Total packages: 9
- Total downloads: unknown
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Total dependent packages: 4
(may contain duplicates) -
Total dependent repositories: 0
(may contain duplicates) - Total versions: 9
- Total maintainers: 1
alpine-v3.18: py3-niaaml-pyc
Precompiled Python bytecode for py3-niaaml
- Homepage: https://github.com/lukapecnik/NiaAML
- License: MIT
-
Latest release: 1.1.12-r0
published about 3 years ago
Rankings
Dependent repos count: 0.0%
Dependent packages count: 0.0%
Average: 12.6%
Stargazers count: 24.7%
Forks count: 25.9%
Maintainers (1)
Last synced:
10 months ago
alpine-v3.18: py3-niaaml
Python automated machine learning framework
- Homepage: https://github.com/lukapecnik/NiaAML
- License: MIT
-
Latest release: 1.1.12-r0
published about 3 years ago
Rankings
Dependent repos count: 0.0%
Dependent packages count: 0.0%
Average: 12.6%
Stargazers count: 24.7%
Forks count: 25.9%
Maintainers (1)
Last synced:
10 months ago
alpine-v3.18: py3-niaaml-doc
Python automated machine learning framework (documentation)
- Homepage: https://github.com/lukapecnik/NiaAML
- License: MIT
-
Latest release: 1.1.12-r0
published about 3 years ago
Rankings
Dependent repos count: 0.0%
Dependent packages count: 0.0%
Average: 12.6%
Stargazers count: 24.7%
Forks count: 25.9%
Maintainers (1)
Last synced:
10 months ago
alpine-v3.17: py3-niaaml
Python automated machine learning framework
- Homepage: https://github.com/lukapecnik/NiaAML
- License: MIT
-
Latest release: 1.1.11-r2
published over 3 years ago
Rankings
Dependent repos count: 0.0%
Dependent packages count: 9.9%
Average: 13.8%
Stargazers count: 22.3%
Forks count: 23.2%
Maintainers (1)
Last synced:
10 months ago
alpine-v3.16: py3-niaaml
Python automated machine learning framework.
- Homepage: https://github.com/lukapecnik/NiaAML
- License: MIT
-
Latest release: 1.1.7-r0
published about 4 years ago
Rankings
Dependent repos count: 0.0%
Average: 16.4%
Stargazers count: 18.7%
Forks count: 19.7%
Dependent packages count: 27.3%
Maintainers (1)
Last synced:
10 months ago
alpine-v3.17: py3-niaaml-doc
Python automated machine learning framework (documentation)
- Homepage: https://github.com/lukapecnik/NiaAML
- License: MIT
-
Latest release: 1.1.11-r2
published over 3 years ago
Rankings
Dependent repos count: 0.0%
Average: 18.2%
Stargazers count: 22.3%
Forks count: 23.2%
Dependent packages count: 27.3%
Maintainers (1)
Last synced:
10 months ago
alpine-v3.19: py3-niaaml-doc
Python automated machine learning framework (documentation)
- Homepage: https://github.com/lukapecnik/NiaAML
- License: MIT
-
Latest release: 1.1.12-r2
published over 2 years ago
Rankings
Dependent repos count: 0.0%
Dependent packages count: 0.0%
Average: 100%
Maintainers (1)
Last synced:
10 months ago
alpine-v3.19: py3-niaaml
Python automated machine learning framework
- Homepage: https://github.com/lukapecnik/NiaAML
- License: MIT
-
Latest release: 1.1.12-r2
published over 2 years ago
Maintainers (1)
Last synced:
10 months ago
alpine-v3.19: py3-niaaml-pyc
Precompiled Python bytecode for py3-niaaml
- Homepage: https://github.com/lukapecnik/NiaAML
- License: MIT
-
Latest release: 1.1.12-r2
published over 2 years ago
Maintainers (1)
Last synced:
10 months ago