Azure ML Action Agent

Description

The Azure ML action agent allows the user to connect to Azure Machine Learning web service.

Limitations

• None at this time.

Release Notes

Configuration

To add the Azure ML action agent to a stream, follow the steps below:

1. Ensure you have a use case open in the stream designer, this can be a new use case or an existing use case
2. From the toolbox on the left expand the Action Agents option and scroll down until you can see “Azure ML”
   • You can also use the search in the header to find the stream object quickly
3. Click and drag the Azure ML action agent from the toolbox onto the canvas
4. Rename the action agent by clicking into the text area to the right of the icon
5. Save the stream by clicking the save button in the action bar
6. Hover over the icon for the stream object until it turns orange and then double click to open the configuration page
   • You can also click on the configure option in the action bar after selecting the stream object
7. Configuration options
   • The Collection drop down allows you to associate this stream object with a specific collection.  The selected option would be, by default, the same as the collection that was selected for the use case. If you do need to change it to another collection, select a different collection from the drop down.
8.  Machine Learning Model options
   • Enter the URL of the Azure Machine Learning web service
     • Specify the web service URL to get to the input and output of Azure Machine Learning web service
   • Enter the Azure Machine Learning web service API Key
9. Click Apply on the action bar, and then save the stream using the Save button