Interface to the 'Azure Machine Learning' Software Development Kit ('SDK'). Data scientists can use the 'SDK' to train, deploy, automate, and manage machine learning models on the 'Azure Machine Learning' service. To learn more about 'Azure Machine Learning' visit the website: <https://docs.microsoft.com/en-us/azure/machine-learning/service/overview-what-is-azure-ml>.
| Version: | 0.6.85 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2, reticulate (≥ 1.12), plyr (≥ 1.8), DT, rstudioapi (≥ 0.7), htmltools, servr, shiny, shinycssloaders |
| Suggests: | rmarkdown, knitr, testthat, dplyr, jsonlite |
| Published: | 2020-02-05 |
| Author: | Heemanshu Suri [cre, aut], Billy Hu [aut], Diondra Peck [aut], Minna Xiao [aut], Himanshu Chandola [ctb], Abe Omorogbe [ctb], Microsoft [cph, fnd], Google Inc. [cph] (Examples and Tutorials), The TensorFlow Authors [cph] (Examples and Tutorials), RStudio Inc. [cph] (Examples and Tutorials) |
| Maintainer: | Heemanshu Suri <Heemanshu.Suri at microsoft.com> |
| BugReports: | https://github.com/azure/azureml-sdk-for-r/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/azure/azureml-sdk-for-r |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | azuremlsdk results |
| Reference manual: | azuremlsdk.pdf |
| Vignettes: |
Set up an Azure ML workspace Install the Azure ML SDK for R |
| Package source: | azuremlsdk_0.6.85.tar.gz |
| Windows binaries: | r-devel: azuremlsdk_0.6.85.zip, r-release: azuremlsdk_0.6.85.zip, r-oldrel: azuremlsdk_0.6.85.zip |
| macOS binaries: | r-release: azuremlsdk_0.6.85.tgz, r-oldrel: azuremlsdk_0.6.85.tgz |
| Old sources: | azuremlsdk archive |
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