Interface to the Google Cloud Machine Learning Platform <https://cloud.google.com/ml-engine>, which provides cloud tools for training machine learning models.
Version: | 0.5.1 |
Depends: | R (≥ 3.3.0), tfruns (≥ 1.3) |
Imports: | jsonlite, packrat, processx, rprojroot, rstudioapi, tools, utils, withr, yaml |
Suggests: | tensorflow (≥ 1.4.2), keras (≥ 2.1.2), knitr, testthat |
Published: | 2018-06-12 |
Author: | Javier Luraschi [aut, cre], JJ Allaire [aut], Kevin Ushey [aut], RStudio [cph] |
Maintainer: | Javier Luraschi <javier at rstudio.com> |
License: | Apache License 2.0 |
NeedsCompilation: | no |
SystemRequirements: | Python (>= 2.7.0) |
Materials: | NEWS |
CRAN checks: | cloudml results |
Reference manual: | cloudml.pdf |
Vignettes: |
Deploying Models Getting Started Google Cloud Storage Training with CloudML Hyperparameter Tuning |
Package source: | cloudml_0.5.1.tar.gz |
Windows binaries: | r-devel: cloudml_0.5.1.zip, r-release: cloudml_0.5.1.zip, r-oldrel: cloudml_0.5.1.zip |
OS X binaries: | r-release: cloudml_0.5.1.tgz, r-oldrel: cloudml_0.5.1.tgz |
Old sources: | cloudml archive |
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