R Interface for the RAPIDS cuML Suite of Libraries

R interface for RAPIDS cuML (<>), a suite of GPU-accelerated machine learning libraries powered by 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/
Author: Yitao Li ORCID iD [aut, cph], Tomasz Kalinowski [cph, ctb], Daniel Falbel [aut, cre, cph], RStudio [cph, fnd]
Maintainer: Daniel Falbel <daniel at>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: RAPIDS cuML (see
CRAN checks: results


Reference manual:


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: archive


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