Description:
fseval 3.1.0
fseval
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
Demo
Install
Installation through PyPi
⭐️ RECOMMENDED OPTION
pip install fseval
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
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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