In EDS ansehen

fseval : a benchmarking framework for feature selection and feature ranking algorithms

Gespeichert in:
Bibliographische Detailangaben
Titel: fseval : a benchmarking framework for feature selection and feature ranking algorithms
Autoren: Overschie, Jeroen G. S., Alsahaf, Ahmad, Azzopardi, George
Verlagsinformationen: Open Journals
Publikationsjahr: 2022
Bestand: University of Malta: OAR@UM / L-Università ta' Malta
Schlagwörter: Open source software -- Evaluation, Open source software -- Testing, Python (Computer program language), SQL (Computer program language), Computer algorithms
Beschreibung: The fseval Python package allows benchmarking Feature Selection and Feature Ranking algorithms on a large scale, and facilitates the comparison of multiple algorithms in a systematic way. In particular, fseval enables users to run experiments in parallel and distributed over multiple machines, and export the results to an SQL database. The execution of an experiment can be fully determined by a configuration file, which means the experiment results can be reproduced easily, given only the configuration file. fseval has high test coverage, continuous integration, and rich documentation. The package is open source and can be installed through PyPI. The source code is available at: https://github.com/dunnkers/fseval. ; peer-reviewed
Publikationsart: article in journal/newspaper
Sprache: English
Relation: Overschie, J. G., Alsahaf, A., & Azzopardi, G. (2022). fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms. Journal of Open Source Software, 7(79), 4611.; https://www.um.edu.mt/library/oar/handle/123456789/112950
Verfügbarkeit: https://www.um.edu.mt/library/oar/handle/123456789/112950
Rights: info:eu-repo/semantics/openAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.
Dokumentencode: edsbas.DC6C64A1
Datenbank: BASE
Beschreibung
Abstract:The fseval Python package allows benchmarking Feature Selection and Feature Ranking algorithms on a large scale, and facilitates the comparison of multiple algorithms in a systematic way. In particular, fseval enables users to run experiments in parallel and distributed over multiple machines, and export the results to an SQL database. The execution of an experiment can be fully determined by a configuration file, which means the experiment results can be reproduced easily, given only the configuration file. fseval has high test coverage, continuous integration, and rich documentation. The package is open source and can be installed through PyPI. The source code is available at: https://github.com/dunnkers/fseval. ; peer-reviewed