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fseval

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Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀

Demo

Open In Colab

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

docs preview

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

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Built distribution (wheel)

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Total release size: 87.0 kB

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