Links[{"label":"azuremlsdk.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/refman/azuremlsdk.html"},{"label":"azuremlsdk.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/azuremlsdk.pdf"},{"label":"Set up an Azure ML workspace","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/configuration.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/configuration.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/configuration.R"},{"label":"Deploy a web service to Azure Kubernetes Service","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/deploy-to-aks.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/deploy-to-aks.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/deploy-to-aks.R"},{"label":"Deploying models","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/deploying-models.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/deploying-models.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/deploying-models.R"},{"label":"A Deeper Dive into Experiments","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/experiments-deep-dive.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/experiments-deep-dive.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/experiments-deep-dive.R"},{"label":"Hyperparameter tune a Keras model","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/hyperparameter-tune-with-keras.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/hyperparameter-tune-with-keras.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/hyperparameter-tune-with-keras.R"},{"label":"Install the Azure ML SDK for R","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/installation.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/installation.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/azuremlsdk/vignettes/installation.R"}]
TextReference manual: azuremlsdk.html , azuremlsdk.pdf Vignettes: Set up an Azure ML workspace ( source , R code ) Deploy a web service to Azure Kubernetes Service ( source , R code ) Deploying models ( source , R code ) A Deeper Dive into Experiments ( source , R code ) Hyperparameter tune a Keras model ( source , R code ) Install the Azure ML SDK for R ( source , R code ) Train and deploy your first model with Azure ML ( source , R code ) Train a TensorFlow model ( source , R code ) Known issues and troubleshooting ( source , R code )