Make your model a web service (using Microsoft Azure machine learning studio)

Make your model a web service (using Microsoft Azure machine learning studio)

1. construct an experiment using the studio.

Make your model a web service (using Microsoft Azure machine learning studio)

2. Set up the web service.

Run this experiment firstly and then click the button at bottom right to set up it as a web service. It will automatically generate a predictive experiment.
Make your model a web service (using Microsoft Azure machine learning studio)

2. Deploy the web service.

Run this new predictive experiment and then click the deploy button to deploy a web service. It will look like this:
Make your model a web service (using Microsoft Azure machine learning studio)
Then we have a web service which can help to predict the how much a flight will delay when it arrived. Firstly, open an online excel and click insert (office add-ins) to install azure machine learning which will allow the webservice use data in the excel.
Make your model a web service (using Microsoft Azure machine learning studio)

4. Use the web service.

Add this application. Then click add web service:
Make your model a web service (using Microsoft Azure machine learning studio)Make your model a web service (using Microsoft Azure machine learning studio)
Fill the url and API key by right clicking of the “Test” button and copying the API key in the same page.
Make your model a web service (using Microsoft Azure machine learning studio)
Make your model a web service (using Microsoft Azure machine learning studio)
specify the input data and output location and then press predict to get the results for new data.
Make your model a web service (using Microsoft Azure machine learning studio)