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
Author: Yitao Li ORCID 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 + file LICENSE
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.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-release (x86_64): cuda.ml_0.3.2.tgz, r-oldrel: cuda.ml_0.3.2.tgz
Old sources: cuda.ml archive

Linking:

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