Package: randomPlantedForest 0.2.1.9000

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_0.2.1.9000.tar.gz
randomPlantedForest_0.2.1.9000.zip(r-4.7)randomPlantedForest_0.2.1.9000.zip(r-4.6)randomPlantedForest_0.2.1.9000.zip(r-4.5)
randomPlantedForest_0.2.1.9000.tgz(r-4.6-x86_64)randomPlantedForest_0.2.1.9000.tgz(r-4.6-arm64)randomPlantedForest_0.2.1.9000.tgz(r-4.5-x86_64)randomPlantedForest_0.2.1.9000.tgz(r-4.5-arm64)
randomPlantedForest_0.2.1.9000.tar.gz(r-4.7-arm64)randomPlantedForest_0.2.1.9000.tar.gz(r-4.7-x86_64)randomPlantedForest_0.2.1.9000.tar.gz(r-4.6-arm64)randomPlantedForest_0.2.1.9000.tar.gz(r-4.6-x86_64)
randomPlantedForest_0.2.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
randomPlantedForest/json (API)
NEWS

# 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

3.75 score 5 stars 45 scripts 4 exports 16 dependencies

Last updated from:9ec06b3faa. Checks:11 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR198
linux-devel-x86_64ERROR179
source / vignettesOK186
linux-release-arm64ERROR171
linux-release-x86_64ERROR179
macos-release-arm64ERROR104
macos-release-x86_64ERROR377
macos-oldrel-arm64ERROR104
macos-oldrel-x86_64ERROR224
windows-develERROR162
windows-releaseERROR205
windows-oldrelERROR160
wasm-releaseOK136

Exports:is_purifiedpredict_componentspurifyrpf

Dependencies:backportscheckmateclidata.tablegluehardhatlifecyclemagrittrpillarpkgconfigRcpprlangsparsevctrstibbleutf8vctrs

Readme and manuals

Help Manual

Help pageTopics
Extract predicted components from a Random Planted Forestpredict_components
Random Planted Forest Predictionspredict.rpf
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