fseval 3.1.0

Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀

fseval

Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀

Demo

Install

1. Installation through PyPi ^{_{⭐️ RECOMMENDED OPTION}}

   pip install fseval
   

2. 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.

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2022 — Jeroen Overschie