Package: randomPlantedForest 0.3.0

Lukas Burk

randomPlantedForest: Random Planted Forest: A Directly Interpretable Tree Ensemble

An implementation of the Random Planted Forest algorithm for directly interpretable tree ensembles based on a functional ANOVA decomposition.

Authors:Joseph Theo Meyer [aut], Munir Hiabu [aut], Maike Spankus [aut], Marvin N. Wright [aut], Lukas Burk [cre, aut]

randomPlantedForest_0.3.0.tar.gz
randomPlantedForest_0.3.0.zip(r-4.7)randomPlantedForest_0.3.0.zip(r-4.6)randomPlantedForest_0.3.0.zip(r-4.5)
randomPlantedForest_0.3.0.tgz(r-4.6-x86_64)randomPlantedForest_0.3.0.tgz(r-4.6-arm64)randomPlantedForest_0.3.0.tgz(r-4.5-x86_64)randomPlantedForest_0.3.0.tgz(r-4.5-arm64)
randomPlantedForest_0.3.0.tar.gz(r-4.7-arm64)randomPlantedForest_0.3.0.tar.gz(r-4.7-x86_64)randomPlantedForest_0.3.0.tar.gz(r-4.6-arm64)randomPlantedForest_0.3.0.tar.gz(r-4.6-x86_64)
randomPlantedForest_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
randomPlantedForest/json (API)

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

Bug tracker:https://github.com/plantedml/randomplantedforest/issues

Pkgdown/docs site:https://plantedml.com

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

intelligibilityinterpretable-machine-learninginterpretable-mlmachine-learningmlrandom-forestcpp

3.88 score 5 stars 60 scripts 5 exports 16 dependencies

Last updated from:78a6393ee9. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK216
linux-devel-x86_64OK194
source / vignettesOK267
linux-release-arm64OK228
linux-release-x86_64OK249
macos-release-arm64OK117
macos-release-x86_64OK281
macos-oldrel-arm64OK168
macos-oldrel-x86_64OK354
windows-develOK224
windows-releaseOK275
windows-oldrelOK217
wasm-releaseOK173

Exports:is_purifiedpredict_componentspreprocess_predictors_predictpurifyrpf

Dependencies:backportscheckmateclidata.tablegluehardhatlifecyclemagrittrpillarpkgconfigRcpprlangsparsevctrstibbleutf8vctrs

Readme and manuals

Help Manual

Help pageTopics
Extract predicted components from a Random Planted Forestpredict_components
Random Planted Forest Predictionspredict.rpf
Preprocess predictors for predictionpreprocess_predictors_predict
Print an rpf fitprint.rpf
Compact printing of forest structuresprint.rpf_forest str.rpf_forest
Purify a Random Planted Forestis_purified purify purify.default purify.rpf
Random Planted Forestrpf rpf.data.frame rpf.formula rpf.matrix rpf.recipe