Interface with Azure Machine Learning Datasets, Experiments and Web Services

Functions and datasets to support Azure Machine Learning. This allows you to interact with datasets, as well as publish and consume R functions as API services.


AzureML v0.2.13


  • Fixes a bug that lead to a memory leak on the AzureML web service during consume(). Load exportenv only once (during first call) # 117

AzureML v0.2.12

This version was released to CRAN on 2017-07-12


  • Upload packages from a local repository using publishWebservice() #109


  • Produce more informative error messages from consume() (#57)
  • Better documentation and examples for endpoint settings, especially for regional AML instances (#105)

This version also contains many other internal improvements that probably won't be visible to most users

AzureML v0.2.11 Bug fix and refactor release

This release fixes multiple internal issues:

  • Add additional skip logic to skip tests on CRAN and if no Internet connection tests (#114)
  • Fix unit tests and code for download.datasets() to deal with multiple datasets bug tests (#111)
  • Upload packages from a local repository using publishWebservice() enhancement (#109)
  • Missing workspace parameter on download.datasets() leads to cryptic error message bug (#93)
  • Fix bug where example for download.datasets() doesn't work (#104)

Reference manual

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0.2.15 by Hong Ooi, 2 months ago

Report a bug at

Browse source code at

Authors: Hong Ooi [cre] , Rich Calaway [ctb] , Andrie de Vries [aut] , Microsoft Corporation [cph] , Revolution Analytics [cph] (Code adapted from the foreach package)

Documentation:   PDF Manual  

Task views:

MIT + file LICENSE license

Imports jsonlite, curl, foreign, codetools, base64enc, miniCRAN, uuid

Suggests testthat, knitr, rmarkdown, lme4, gbm, MASS, mockery

System requirements: Requires external zip utility, available in path. On windows, it's sufficient to install RTools.

See at CRAN