Package: fru 0.0.7

Miron Bartosz Kursa

fru: A Blazing Fast Implementation of Random Forest

Yet another implementation of the Random Forest method by Breiman (2001) <doi:10.1023/A:1010933404324>, written in Rust and tailored towards stability, correctness, efficiency and scalability on modern multi-core machines. Handles both classification and regression, as well as provides permutation feature importance via a novel, highly optimised algorithm.

Authors:Miron Bartosz Kursa [aut, cre], Krzysztof Piotr Piwoński [aut]

fru_0.0.7.tar.gz

fru_0.0.7.tgz(r-4.6-x86_64)fru_0.0.7.tgz(r-4.6-arm64)fru_0.0.7.tgz(r-4.5-x86_64)fru_0.0.7.tgz(r-4.5-arm64)
fru_0.0.7.tar.gz(r-4.7-arm64)fru_0.0.7.tar.gz(r-4.7-x86_64)fru_0.0.7.tar.gz(r-4.6-arm64)fru_0.0.7.tar.gz(r-4.6-x86_64)
fru_0.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
fru/json (API)
NEWS

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

Bug tracker:https://gitlab.com/mbq/fru

On CRAN:

Conda:

rustcargo

5.26 score 5 packages 7.6k downloads 4 exports 0 dependencies

Last updated from:f6680affc2. Checks:8 NOTE, 2 OK, 3 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE2005
linux-devel-x86_64NOTE126
source / vignettesOK138
linux-release-arm64NOTE138
linux-release-x86_64NOTE123
macos-release-arm64NOTE155
macos-release-x86_64NOTE197
macos-oldrel-arm64NOTE189
macos-oldrel-x86_64NOTE253
windows-develFAIL106
windows-releaseFAIL75
windows-oldrelFAIL87
wasm-releaseOK1155

Exports:extract_forestfruimportancesolidify

Dependencies: