README.md
In rstudio/cloudml: Interface to the Google Cloud Machine Learning Platform
R interface to Google CloudML
The cloudml package provides an R interface to Google Cloud Machine Learning Engine, a managed service that enables:
-
Scalable training of models built with the keras, tfestimators, and tensorflow R packages.
-
On-demand access to training on GPUs, including the new Tesla P100 GPUs from NVIDIA®.
-
Hyperparameter tuning to optimize key attributes of model architectures in order to maximize predictive accuracy.
-
Deployment of trained models to the Google global prediction platform that can support thousands of users and TBs of data.
CloudML is a managed service where you pay only for the hardware resources that you use. Prices vary depending on configuration (e.g. CPU vs. GPU vs. multiple GPUs). See https://cloud.google.com/ml-engine/pricing for additional details.
For documentation on using the R interface to CloudML see the package website at https://tensorflow.rstudio.com/tools/cloudml/
rstudio/cloudml documentation built on Aug. 12, 2020, 8:22 p.m.
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R interface to Google CloudML
The cloudml package provides an R interface to Google Cloud Machine Learning Engine, a managed service that enables:
-
Scalable training of models built with the keras, tfestimators, and tensorflow R packages.
-
On-demand access to training on GPUs, including the new Tesla P100 GPUs from NVIDIA®.
-
Hyperparameter tuning to optimize key attributes of model architectures in order to maximize predictive accuracy.
-
Deployment of trained models to the Google global prediction platform that can support thousands of users and TBs of data.
CloudML is a managed service where you pay only for the hardware resources that you use. Prices vary depending on configuration (e.g. CPU vs. GPU vs. multiple GPUs). See https://cloud.google.com/ml-engine/pricing for additional details.
For documentation on using the R interface to CloudML see the package website at https://tensorflow.rstudio.com/tools/cloudml/
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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