AzureML-package: Interface to Azure ML Studio datasets and experiments.

In RevolutionAnalytics/AzureML: Interface with Azure Machine Learning Datasets, Experiments and Web Services

Description

Allows you to work with Azure ML Studio datasets and experiments directly from R.

Summary of functions

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

RevolutionAnalytics/AzureML documentation built on July 28, 2019, 4:50 a.m.