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Interface to the Google Cloud Machine Learning Platform <https://cloud.google.com/ml-engine>, which provides cloud tools for training machine learning models.
Version: | 0.6.1 |
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, testthat |
Published: | 2019-09-03 |
DOI: | 10.32614/CRAN.package.cloudml |
Author: | Daniel Falbel [aut, cre], Javier Luraschi [aut], JJ Allaire [aut], Kevin Ushey [aut], RStudio [cph] |
Maintainer: | Daniel Falbel <daniel at rstudio.com> |
License: | Apache License 2.0 |
NeedsCompilation: | no |
SystemRequirements: | Python (>= 2.7.0) |
Materials: | NEWS |
In views: | ModelDeployment |
CRAN checks: | cloudml results |
Reference manual: | cloudml.pdf |
Vignettes: |
Deploying Models Getting Started Google Cloud Storage Training with CloudML Hyperparameter Tuning |
Package source: | cloudml_0.6.1.tar.gz |
Windows binaries: | r-devel: cloudml_0.6.1.zip, r-release: cloudml_0.6.1.zip, r-oldrel: cloudml_0.6.1.zip |
macOS binaries: | r-release (arm64): cloudml_0.6.1.tgz, r-oldrel (arm64): cloudml_0.6.1.tgz, r-release (x86_64): cloudml_0.6.1.tgz, r-oldrel (x86_64): cloudml_0.6.1.tgz |
Old sources: | cloudml archive |
Reverse suggests: | tfdeploy |
Please use the canonical form https://CRAN.R-project.org/package=cloudml to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.