fseval
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms - Published in JOSS (2022)
Science Score: 98.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 7 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org, zenodo.org -
○Committers with academic emails
-
○Institutional organization owner
-
✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Keywords from Contributors
Scientific Fields
Repository
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
Basic Info
- Host: GitHub
- Owner: dunnkers
- License: mit
- Language: Python
- Default Branch: master
- Homepage: https://dunnkers.com/fseval
- Size: 23.6 MB
Statistics
- Stars: 19
- Watchers: 2
- Forks: 6
- Open Issues: 0
- Releases: 16
Topics
Metadata Files
README.md
fseval
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
Demo
Install
Installation through PyPi ⭐️ RECOMMENDED OPTION
shell pip install fsevalInstallation from source
shell git clone https://github.com/dunnkers/fseval.git cd fseval pip install -r requirements.txt pip install .
You can now import fseval import fseval in your Python code, or use the fseval command in your terminal. For an example, run fseval --help. For more information, see the documentation link below ⌄.
Documentation
See the documentation.
About
Built at the University of Groningen and published in The Journal of Open Source Software (JOSS): - https://joss.theoj.org/papers/10.21105/joss.04611
Project has some early roots in another project, which is a feature selection algorithm called FeatBoost (see full citation below).
A. Alsahaf, N. Petkov, V. Shenoy, G. Azzopardi, "A framework for feature selection through boosting", Expert Systems with Applications, Volume 187, 2022, 115895, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2021.115895. The open source Python code of FeatBoost is available in https://github.com/amjams/FeatBoost.2023 — Jeroen Overschie
Owner
- Name: Jeroen Overschie
- Login: dunnkers
- Kind: user
- Location: Amsterdam
- Company: @Xebia @GoDataDriven
- Website: https://jeroenoverschie.nl/
- Repositories: 30
- Profile: https://github.com/dunnkers
Machine Learning Engineer @ Xebia. Obtained a MSc Data Science and Systems Complexity at the University of Groningen.
JOSS Publication
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms
Authors
Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, P.O. Box 407, 9700 AK Groningen, The Netherlands
Tags
feature ranking feature selection benchmarking machine learning open-source software pythonCitation (CITATION.cff)
cff-version: 1.2.0
message: "If you use fseval, please cite it as below."
authors:
- family-names: "Overschie"
given-names: "Jeroen Gerard Sebastiaan"
orcid: "https://orcid.org/0000-0003-3304-3800"
- family-names: "Alsahaf"
given-names: "Ahmad"
orcid: "https://orcid.org/0000-0002-0770-1390"
- family-names: "Azzopardi"
given-names: "George"
orcid: "https://orcid.org/0000-0001-6552-2596"
title: "fseval"
version: 3.1.0
doi: 10.21105/joss.04611
date-released: 2022-11-23
url: "https://joss.theoj.org/papers/10.21105/joss.04611"
preferred-citation:
type: article
authors:
- family-names: "Overschie"
given-names: "Jeroen Gerard Sebastiaan"
orcid: "https://orcid.org/0000-0003-3304-3800"
- family-names: "Alsahaf"
given-names: "Ahmad"
orcid: "https://orcid.org/0000-0002-0770-1390"
- family-names: "Azzopardi"
given-names: "George"
orcid: "https://orcid.org/0000-0001-6552-2596"
doi: "10.21105/joss.04611"
journal: "Journal of Open Source Software"
month: 11
start: 1
end: 5
title: "fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms"
volume: 7
number: 79
publisher: "The Open Journal"
pages: 4611
year: 2022
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Jeroen Overschie | j****e@g****m | 394 |
| dependabot[bot] | 4****] | 11 |
| George Azzopardi | g****o | 2 |
| AJ | a****f@g****m | 2 |
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 55
- Total pull requests: 38
- Average time to close issues: about 1 month
- Average time to close pull requests: 9 days
- Total issue authors: 1
- Total pull request authors: 7
- Average comments per issue: 0.36
- Average comments per pull request: 0.97
- Merged pull requests: 32
- Bot issues: 0
- Bot pull requests: 16
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- dunnkers (55)
Pull Request Authors
- dunnkers (18)
- dependabot[bot] (15)
- lgtm-com[bot] (1)
- geazzo (1)
- xuanxu (1)
- amjams (1)
- danielskatz (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 30 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 12
- Total maintainers: 1
pypi.org: fseval
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
- Homepage: https://github.com/dunnkers/fseval
- Documentation: https://dunnkers.com/fseval
- License: MIT
-
Latest release: 3.1.0
published about 3 years ago
Rankings
Maintainers (1)
Dependencies
- @docusaurus/module-type-aliases ^2.0.0-beta.15 development
- @tsconfig/docusaurus ^1.0.4 development
- asciinema-player ^3.0.0-rc.1 development
- typescript ^4.5.5 development
- @docusaurus/core ^2.0.0-beta.15
- @docusaurus/plugin-google-gtag ^2.0.0-beta.15
- @docusaurus/preset-classic ^2.0.0-beta.15
- @mdx-js/react ^1.6.21
- clsx ^1.1.1
- prism-react-renderer ^1.2.1
- raw-loader ^4.0.2
- react ^17.0.1
- react-complex-tree ^1.1.3
- react-dom ^17.0.1
- 1042 dependencies
- Boruta >=0.3
- PyYAML >=6
- SQLAlchemy >=1
- dataclasses >=0.6
- humanfriendly >=9
- hydra-colorlog >=1.1
- hydra-core >=1.1
- l2x-synthetic >=2
- numpy >=1.19
- openml >=0.12
- overrides >=6
- pandas >=1
- pytest-dependency *
- scikit-learn >=0.24
- scipy >=1.5
- shortuuid >=1.0
- skfeature-chappers >=1.0
- skrebate >=0.62
- types-PyYAML >=6
- types-dataclasses >=0.6
- wandb >=0.12
- xgboost >=1
- SQLAlchemy >=1
- humanfriendly >=9
- hydra-colorlog >=1.1.0
- hydra-core >=1.1.0
- numpy >=1.19
- overrides >=6
- pandas >=1.1
- scikit-learn >=0.24
- shortuuid >=1.0
- actions/checkout v2 composite
- actions/setup-python v2 composite
- codecov/codecov-action v2.1.0 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- mcr.microsoft.com/vscode/devcontainers/python 3.9 build
- black * development
- mypy ==0.982 development
- pytest * development
- pytest-cov * development
- Boruta >=0.3
- fseval *
- skrebate >=0.62
- xgboost >=1
