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 LICENSE URL: https://github.com/azure/azureml-sdk-for-r NeedsCompilation: no Materials: README CRAN checks: azuremlsdk resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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