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✨
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 349 downloads 11 exports 19 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK153
source / vignettesOK175
linux-release-x86_64OK146
macos-release-arm64OK155
macos-oldrel-arm64OK171
windows-develOK93
windows-releaseOK95
windows-oldrelOK92
wasm-releaseOK146

Exports:arulesCBA2arcCBAModelbenchmarkQCBAgetConfVectorForROCmapDataTypesqcbaqcbaHumTempqcbaIrisqcbaIris2rcbaModel2CBARuleModelsbrlModel2arcCBARuleModelshow

Dependencies:arcarulesarulesCBAcodetoolsdiscretizationforeachgenericsglmnetiteratorslatticeMatrixR.methodsS3R.ooR.utilsRcppRcppEigenrJavashapesurvival