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cloudml: Interface to the Google Cloud Machine Learning Platform

Interface to the Google Cloud Machine Learning Platform <https://cloud.google.com/vertex-ai>, which provides cloud tools for training machine learning models.

Version:0.7.1
Depends:R (≥ 3.3.0),tfruns (≥ 1.3)
Imports:config,jsonlite,packrat,processx,rprojroot,rstudioapi, tools, utils,withr,yaml
Suggests:tensorflow (≥ 1.4.2),keras (≥ 2.1.2),knitr,rmarkdown,testthat
Published:2025-08-18
DOI:10.32614/CRAN.package.cloudml
Author:Tomasz Kalinowski [cre], Daniel Falbel [aut], Javier Luraschi [aut], JJ Allaire [aut], Kevin Ushey [aut], RStudio [cph]
Maintainer:Tomasz Kalinowski <tomasz at posit.co>
BugReports:https://github.com/rstudio/cloudml/issues
License:Apache License 2.0
URL:https://github.com/rstudio/cloudml
NeedsCompilation:no
SystemRequirements:Python (>= 2.7.0)
Materials:NEWS
In views:ModelDeployment
CRAN checks:cloudml results

Documentation:

Reference manual:cloudml.html ,cloudml.pdf
Vignettes:Deploying Models (source,R code)
Getting Started (source,R code)
Google Cloud Storage (source,R code)
Training with CloudML (source,R code)
Hyperparameter Tuning (source,R code)

Downloads:

Package source: cloudml_0.7.1.tar.gz
Windows binaries: r-devel:cloudml_0.7.1.zip, r-release:cloudml_0.7.1.zip, r-oldrel:cloudml_0.7.1.zip
macOS binaries: r-release (arm64):cloudml_0.7.1.tgz, r-oldrel (arm64):cloudml_0.7.1.tgz, r-release (x86_64):cloudml_0.7.1.tgz, r-oldrel (x86_64):cloudml_0.7.1.tgz
Old sources: cloudml archive

Reverse dependencies:

Reverse suggests:tfdeploy

Linking:

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


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