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cuda.ml: R Interface for the RAPIDS cuML Suite of Libraries

R interface for RAPIDS cuML (<https://github.com/rapidsai/cuml>), a suite of GPU-accelerated machine learning libraries powered by CUDA (<https://en.wikipedia.org/wiki/CUDA>).

Version:0.3.2
Depends:R (≥ 3.2)
Imports:ellipsis,hardhat,parsnip,Rcpp (≥ 1.0.6),rlang (≥ 0.1.4)
LinkingTo:Rcpp
Suggests:callr,glmnet,MASS,magrittr,mlbench,purrr,reticulate,testthat,xgboost
OS_type:unix
Published:2022-01-08
DOI:10.32614/CRAN.package.cuda.ml
Author:Yitao LiORCID iD [aut, cph], Tomasz Kalinowski [cph, ctb], Daniel Falbel [aut, cre, cph], RStudio [cph, fnd]
Maintainer:Daniel Falbel <daniel at rstudio.com>
BugReports:https://github.com/mlverse/cuda.ml/issues
License:MIT + fileLICENSE
URL:https://mlverse.github.io/cuda.ml/
NeedsCompilation:yes
SystemRequirements:RAPIDS cuML (see https://rapids.ai/start.html)
CRAN checks:cuda.ml results

Documentation:

Reference manual:cuda.ml.html ,cuda.ml.pdf

Downloads:

Package source: cuda.ml_0.3.2.tar.gz
Windows binaries: r-devel:not available, r-release:not available, r-oldrel:not available
macOS binaries: r-release (arm64):cuda.ml_0.3.2.tgz, r-oldrel (arm64):cuda.ml_0.3.2.tgz, r-release (x86_64):cuda.ml_0.3.2.tgz, r-oldrel (x86_64):cuda.ml_0.3.2.tgz
Old sources: cuda.ml archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=cuda.mlto link to this page.


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