azuremlsdk: Interface to the 'Azure Machine Learning' 'SDK'

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: <>.

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>
License: MIT + file LICENSE
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:, r-release:, r-oldrel:
macOS binaries: r-release: azuremlsdk_0.6.85.tgz, r-oldrel: azuremlsdk_0.6.85.tgz
Old sources: azuremlsdk archive


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