Package: praznik 12.0.0

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_12.0.0.tar.gz
praznik_12.0.0.tar.gz(r-4.7-arm64)praznik_12.0.0.tar.gz(r-4.7-x86_64)praznik_12.0.0.tar.gz(r-4.6-arm64)praznik_12.0.0.tar.gz(r-4.6-x86_64)
praznik_12.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
praznik/json (API)
| # Install 'praznik' in R: |
| install.packages('praznik', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://gitlab.com/mbq/praznik
- MadelonD - Pre-discretised Madelon dataset
Last updated from:0a6cc4c0ac. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 135 | ||
| linux-devel-x86_64 | OK | 118 | ||
| source / vignettes | OK | 151 | ||
| linux-release-arm64 | OK | 151 | ||
| linux-release-x86_64 | OK | 125 | ||
| wasm-release | OK | 104 |
Exports:CMICMIMcmiMatrixcmiScoresDISRdnmiMatrixhScoresicmiMatriximpScoresjhScoresJIMJMIJMI3JMIMjmiMatrixjmiScoresjoinfkInversekTransformmaxCmiScoresmaxJmiScoresMIMmiMatrixminCmiScoresminMaxCmiScoresmiScoresMRMRNJMIMnjmiMatrixnjmiScoresnmiMatrixtriScorestspTransform
Dependencies: