azuremlsdk: Interface to the 'Azure Machine Learning' 'SDK' (original) (raw)
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:
2020-09-22
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
URL:
https://github.com/azure/azureml-sdk-for-r
NeedsCompilation:
no
Materials:
CRAN checks: