Interface to the 'Azure Machine Learning' 'SDK' [R package azuremlsdk version 1.10.0]

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: <https://docs.microsoft.com/en-us/azure/machine-learning/service/overview-what-is-azure-ml>.

Version: 1.10.0

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, foreach, iterators, utils

Published: 2020年09月22日

DOI: 10.32614/CRAN.package.azuremlsdk

Author: Diondra Peck [cre, aut], Minna Xiao [aut], AzureML R SDK Team [ctb], Microsoft [cph, fnd], Google Inc. [cph] (Examples and Tutorials), The TensorFlow Authors [cph] (Examples and Tutorials), RStudio Inc. [cph] (Examples and Tutorials)

Maintainer: Diondra Peck <Diondra.Peck 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