Package: praznik 11.0.0

Miron B. Kursa
praznik: Tools for Information-Based Feature Selection and Scoring
A toolbox of fast, native and parallel implementations of various information-based importance criteria estimators and feature selection filters based on them, inspired by the overview by Brown, Pocock, Zhao and Lujan (2012) <https://www.jmlr.org/papers/v13/brown12a.html>. Contains, among other, minimum redundancy maximal relevancy ('mRMR') method by Peng, Long and Ding (2005) <doi:10.1109/TPAMI.2005.159>; joint mutual information ('JMI') method by Yang and Moody (1999) <https://papers.nips.cc/paper/1779-data-visualization-and-feature-selection-new-algorithms-for-nongaussian-data>; double input symmetrical relevance ('DISR') method by Meyer and Bontempi (2006) <doi:10.1007/11732242_9> as well as joint mutual information maximisation ('JMIM') method by Bennasar, Hicks and Setchi (2015) <doi:10.1016/j.eswa.2015.07.007>.
Authors:
praznik_11.0.0.tar.gz
praznik_11.0.0.tar.gz(r-4.5-noble)praznik_11.0.0.tar.gz(r-4.4-noble)
praznik_11.0.0.tgz(r-4.4-emscripten)praznik_11.0.0.tgz(r-4.3-emscripten)
praznik.pdf |praznik.html✨
praznik/json (API)
NEWS
# Install 'praznik' in R: |
install.packages('praznik', repos = 'https://cloud.r-project.org') |
Bug tracker:https://gitlab.com/mbq/praznik
- MadelonD - Pre-discretised Madelon dataset
Conda:r-praznik-11.0.0(2025-03-25)
Last updated 3 years agofrom:79bf81e849. Checks:3 OK. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 30 2025 |
R-4.5-linux-x86_64 | OK | Mar 30 2025 |
R-4.4-linux-x86_64 | OK | Mar 30 2025 |
Exports:CMICMIMcmiMatrixcmiScoresDISRdnmiMatrixhScoresicmiMatriximpScoresjhScoresJIMJMIJMI3JMIMjmiMatrixjmiScoresjoinfkInversekTransformmaxCmiScoresmaxJmiScoresMIMmiMatrixminCmiScoresminMaxCmiScoresmiScoresMRMRNJMIMnjmiMatrixnjmiScoresnmiMatrixtriScores
Dependencies:
Citation
To cite praznik in publications use:
Miron B. Kursa (2021). Praznik: High performance information-based feature selection. SoftwareX, 16, 100819. URL https://doi.org/10.1016/j.softx.2021.100819
Miron B. Kursa (2022). Kendall transformation brings a robust categorical representation of ordinal data. Scientific Reports, 12, 8341. URL https://doi.org/10.1038/s41598-022-12224-2
Corresponding BibTeX entries:
@Article{, title = {Praznik: High performance information-based feature selection}, author = {Miron B. Kursa}, journal = {SoftwareX}, year = {2021}, volume = {16}, pages = {100819}, url = {https://doi.org/10.1016/j.softx.2021.100819}, }
@Article{, title = {Kendall transformation brings a robust categorical representation of ordinal data}, author = {Miron B. Kursa}, journal = {Scientific Reports}, year = {2022}, volume = {12}, pages = {8341}, url = {https://doi.org/10.1038/s41598-022-12224-2}, }