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)qCBA_1.0.2.zip(r-4.6)qCBA_1.0.2.zip(r-4.5)
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✨
card.svg |card.png
qCBA/json (API)
NEWS

# 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 195 downloads 11 exports 19 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK148
source / vignettesOK176
linux-release-x86_64OK154
macos-release-arm64OK195
macos-oldrel-arm64OK214
windows-develOK114
windows-releaseOK111
windows-oldrelOK125
wasm-releaseOK118

Exports:arulesCBA2arcCBAModelbenchmarkQCBAgetConfVectorForROCmapDataTypesqcbaqcbaHumTempqcbaIrisqcbaIris2rcbaModel2CBARuleModelsbrlModel2arcCBARuleModelshow

Dependencies:arcarulesarulesCBAcodetoolsdiscretizationforeachgenericsglmnetiteratorslatticeMatrixR.methodsS3R.ooR.utilsRcppRcppEigenrJavashapesurvival