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R interface to Google Cloud Machine Learning Engine

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## R interface to Google CloudML

[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/cloudml)](https://cran.r-project.org/package=cloudml)

The **cloudml** package provides an R interface to [Google Cloud Machine Learning Engine](https://cloud.google.com/vertex-ai), a managed service that enables:

* Scalable training of models built with the [keras](https://keras3.posit.co/), [tfestimators](https://github.com/rstudio/tfestimators), and [tensorflow](https://tensorflow.rstudio.com/) R packages.

* On-demand access to training on GPUs, including the new [Tesla P100 GPUs](https://www.nvidia.com/en-us/data-center/) from NVIDIA&reg;.

* 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/vertex-ai/pricing> for additional details.

For documentation on using the R interface to CloudML see the package website at <https://github.com/rstudio/cloudml>

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