In a previous post, we created an Income Prediction experiment in Azure ML. Let’s now look at how to deploy this to a web service.
In Azure ML Studio, in our experiment, select Setup Web Service:
And then Predictive Web Service:
We get a Predictive experiment tab created, with Web service input and Web Service output nodes added:
Select Columns in a dataset:
Join Connect Columns in Dataset to Adult Census Income Binary Classification dataset and Score Model:
And select Launch Column Selector:
Exclude all columns except income:
And after scoring the model, we will output the scored labels and scored probabilities. Add another Connect Columns in Dataset and connect it like below:
Click on Launch Column Selector:
And select only Scored Labels and Scored Probabilities:
We’re now ready to deploy the web service. Click on Deploy Web Service. First click Run to validate the experiment:
Then Deploy Web Service:
The service is ready. Let’s test it. Click on the Test button:
We are prompted for some data. Fill in some fields below to test the service:
We get the results of the experiment in the web service:
We can now use this web service to get income predictions.
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