Package: perpetual 2.1.0

Mutlu Simsek

perpetual: PerpetualBooster

A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization.

Authors:Mutlu Simsek [aut, cre], Serkan Korkmaz [aut], Pieter Pel [aut]

perpetual_2.1.0.tar.gz
perpetual_2.1.0.zip(r-4.7)perpetual_2.1.0.zip(r-4.6)perpetual_2.1.0.zip(r-4.5)
perpetual_2.1.0.tgz(r-4.6-x86_64)perpetual_2.1.0.tgz(r-4.6-arm64)perpetual_2.1.0.tgz(r-4.5-x86_64)perpetual_2.1.0.tgz(r-4.5-arm64)
perpetual_2.1.0.tar.gz(r-4.7-arm64)perpetual_2.1.0.tar.gz(r-4.7-x86_64)perpetual_2.1.0.tar.gz(r-4.6-arm64)perpetual_2.1.0.tar.gz(r-4.6-x86_64)
perpetual_2.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
perpetual/json (API)

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

Bug tracker:https://github.com/perpetual-ml/perpetual/issues

Pkgdown/docs site:https://perpetual-ml.github.io

On CRAN:

Conda:

data-sciencegbdtgbmgradient-boosted-treesgradient-boostinggradient-boosting-decision-treeskagglemachine-learningpythonrustcargo

4.96 score 699 stars 13 scripts 9 exports 0 dependencies

Last updated from:58267379df (on r-universe). Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK188
linux-devel-x86_64OK177
source / vignettesOK228
linux-release-arm64OK170
linux-release-x86_64OK228
macos-release-arm64OK148
macos-release-x86_64OK314
macos-oldrel-arm64OK177
macos-oldrel-x86_64OK286
windows-develOK241
windows-releaseOK195
windows-oldrelOK209
wasm-releaseOK150

Exports:perpetualperpetual_base_scoreperpetual_calibrateperpetual_importanceperpetual_loadperpetual_n_treesperpetual_saveperpetual_to_jsonPerpetualBooster

Dependencies: