fseval
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
Demo
Install
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Installation through PyPi ⭐️ RECOMMENDED OPTION
pip install fseval
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Installation from source
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. It stemmed from a previous project that proposed the feature selection algorithm called FeatBoost (see full citation below). The open source Python code of FeatBoost is available in https://github.com/amjams/FeatBoost.
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.
2022 — Jeroen Overschie
Metadata
Release files for fseval 3.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| fseval-3.1.0.tar.gz | 34.5 kB | Without provenance | Details for fseval-3.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| fseval-3.1.0-py3-none-any.whl | Python 3 | none | any | Details for fseval-3.1.0-py3-none-any.whl |
Total release size: 87.0 kB
Release files / fseval-3.1.0.tar.gz
| Download URL | fseval-3.1.0.tar.gz |
|---|---|
| Size | 34.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.11.0
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Release files / fseval-3.1.0-py3-none-any.whl
| Download URL | fseval-3.1.0-py3-none-any.whl |
|---|---|
| Size | 52.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.0
|
Security for fseval 3.1.0
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