Package: qCBA 1.0.2

qCBA: Postprocessing of Rule Classification Models Learnt on Quantized Data

Implements the Quantitative Classification-based on Association Rules (QCBA) algorithm (<doi:10.1007/s10489-022-04370-x>). QCBA postprocesses rule classification models making them typically smaller and in some cases more accurate. Supported are 'CBA' implementations from 'rCBA', 'arulesCBA' and 'arc' packages, and 'CPAR', 'CMAR', 'FOIL2' and 'PRM' implementations from 'arulesCBA' package and 'SBRL' implementation from the 'sbrl' package. The result of the post-processing is an ordered CBA-like rule list.

Authors:Tomáš Kliegr [aut, cre]

qCBA_1.0.2.tar.gz
qCBA_1.0.2.zip(r-4.7-any)qCBA_1.0.2.zip(r-4.6-any)qCBA_1.0.2.zip(r-4.5-any)
qCBA_1.0.2.tgz(r-4.6-any)qCBA_1.0.2.tgz(r-4.5-any)
qCBA_1.0.2.tar.gz(r-4.7-any)qCBA_1.0.2.tar.gz(r-4.6-any)
qCBA_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
qCBA/json (API)

# Install 'qCBA' in R:
install.packages('qCBA', repos = c('https://kliegr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kliegr/qcba/issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

openjdk

3.92 score 11 stars 15 scripts 300 downloads 11 exports 19 dependencies

Last updated from:1fc51b68af. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK127
source / vignettesOK170
linux-releaseOK129
macos-releaseOK129
macos-oldrelOK211
windows-develOK98
windows-releaseOK89
windows-oldrelOK80
wasm-releaseOK101

Exports:arulesCBA2arcCBAModelbenchmarkQCBAgetConfVectorForROCmapDataTypesqcbaqcbaHumTempqcbaIrisqcbaIris2rcbaModel2CBARuleModelsbrlModel2arcCBARuleModelshow

Dependencies:arcarulesarulesCBAcodetoolsdiscretizationforeachgenericsglmnetiteratorslatticeMatrixR.methodsS3R.ooR.utilsRcppRcppEigenrJavashapesurvival