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cuml4r  

R Interface for the RAPIDS cuML Suite of Libraries
View on CRAN: Click here


Download and install cuml4r package within the R console
Install from CRAN:
install.packages("cuml4r")

Install from Github:
library("remotes")
install_github("cran/cuml4r")

Install by package version:
library("remotes")
install_version("cuml4r", "0.1.0")



Attach the package and use:
library("cuml4r")
Maintained by
Yitao Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-26
Latest Update: 2022-12-31
Description:
The purpose of cuml4r is to provide a simple and intuitive Rinterface for cuML httpsgithub.comrapidsaicuml.CuML is a suite of GPU-accelerated machine learning libraries powered byCUDA httpsen.wikipedia.orgwikiCUDA.
How to cite:
Yitao Li (2021). cuml4r: R Interface for the RAPIDS cuML Suite of Libraries. R package version 0.1.0, https://cran.r-project.org/web/packages/cuml4r. Accessed 14 May. 2025.
Previous versions and publish date:
0.1.0 (2021-07-26 08:40)
Other packages that cited cuml4r R package
View cuml4r citation profile
Other R packages that cuml4r depends, imports, suggests or enhances
Functions, R codes and Examples using the cuml4r R package
Full cuml4r package functions and examples
Downloads during the last 30 days
04/1504/1705/06Downloads for cuml4r-0.100.10.20.30.40.50.60.70.80.911.1TrendBars

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