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: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: cloudml archive

Reverse dependencies:

Reverse suggests: tfdeploy

Linking:

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