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 |
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) |
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 suggests: | tfdeploy |
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