Huge buzz going on Machine Learning. What for? Building intelligent apps is one of the dominant usages of machine learning. Web service is one of the understandable “language” for software developers. If the data scientists can provide a web service for the line of devs, they’ll be super excited because they only have to deal with JSON; not regression algorithms or neural networks! 😀
Azure ML studio provides you the power to deploy web services easily and nice interface that a software developer can understand. Consuming a web service built with Azure machine learning has become pretty easy because it even provide you the code samples and the sample JSONs that transfer in and out.
Recently AzureML Studio has come out with a new interface for managing the web services. Now it’s pretty easy for manage and monitor the behavior of your web services.
Go for your ML Studio. In web services section, you’ll find a new link directing to “New web services experience”. Currently it’s in the preview.
Dashboard shows the performance of the web service that you built. The average execution time is shown there. Even you can get a glimpse on monetary terms attached with consuming the web service with the dashboard.
Testing the web services can be done through the new portal. If you want to build web application to consume the web service you built, can direct to the azure web app template that is pre-built for consuming ML web services.
Take a look from (http://services.azureml.net) you’ll get used to it! 😀