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 Li [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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=cuda.ml to link to this page.
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