Package: fru 1.0.0

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_1.0.0.tar.gz
fru_1.0.0.tgz(r-4.6-x86_64)fru_1.0.0.tgz(r-4.6-arm64)fru_1.0.0.tgz(r-4.5-x86_64)fru_1.0.0.tgz(r-4.5-arm64)
fru_1.0.0.tar.gz(r-4.7-arm64)fru_1.0.0.tar.gz(r-4.7-x86_64)fru_1.0.0.tar.gz(r-4.6-arm64)fru_1.0.0.tar.gz(r-4.6-x86_64)
fru_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fru/json (API)

# 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

6.07 score 6 packages 6.8k downloads 4 exports 0 dependencies

Last updated from:c267819720. Checks:8 NOTE, 2 OK, 5 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE87
linux-devel-x86_64NOTE130
source / vignettesOK152
linux-release-arm64NOTE122
linux-release-x86_64NOTE101
macos-release-arm64NOTE85
macos-release-x86_64NOTE256
macos-oldrel-arm64NOTE81
macos-oldrel-x86_64NOTE339
windows-devel-arm64FAIL192
windows-devel-x86_64FAIL68
windows-release-arm64FAIL192
windows-release-x86_64FAIL94
windows-oldrel-x86_64FAIL61
wasm-releaseOK93

Exports:extract_forestfruimportancesolidify

Dependencies: