Allows you to work with Azure ML Studio datasets and experiments directly from R.
1. Create a reference to an Azure ML workspace
Workspace: workspace
2. Datasets
List available datasets: datasets
Download datasets: download.datasets
Upload a dataset: upload.dataset
Delete datasets: delete.datasets
3. Experiments
Get experiments: experiments
Get data from an experiment port: download.intermediate.dataset
4. Web Services
List available services: services
Consume a web service (run data through it and retrieve result): consume
Publish an R function as a web service: publishWebService
Update an existing web service: updateWebService
List web service endpoints: endpoints
5. Configure a settings file with your AzureML secrets
The workspace
function optionally reads your AzureML credentials from a settings file located at ~/.azureml/settings.json
. You can read and write this file using:
Write: write.AzureML.config
Read: read.AzureML.config