CRAN Release

New features

• Add foreach backend for distributed training and batch inferencing. (#215)
• Add R Section in Environment Definition.
• Add Azure Data Lake Gen2 Datastore support as an experimental feature.(#279)
• Add github_package() and cran_package() constructors to specify packages and
  package versions in Estimator and Environment Definition.(#310)
• Expose query_timeout parameter for create_tabular_dataset_from_sql_query().(#308)
• Add data_path() so that Dataset constructors can take in DataPath objects. (#271)
• Add dataset_consumption_config(). (#272)
• Add support for ResourceConfiguration and registering models from run.(#300)
• Expose cluster_purpose param for create_aks_compute(). (#276)
• Add interactive_login_authentication() and service_principal_authentication. (#263) (#241)
• Deprecate live run widget.

Bug fixes

• Fix issues with Dataset creation and usage.
• Fix Interactive Authentication.

Documentation

• Add "Troubleshooting" article.
• Add "Deploying models" vignette.
• Add sample for batch inferencing with foreach backend.
• Make all vignettes discoverable via CRAN. (#320)