Deploying a Predictive Model as a Web Service

3 minutes, 21 seconds

Download

Right click “Save as…”

Azure Machine Learning API service enables you to deploy predictive models build in Azure Machine Learning studio as scalable, fault tolerant Web services. Azure ML API service leverages Microsoft Azure for deployment, hosting and management of the Azure ML web services. Two types of services can be created using Azure ML API service. Batch Execution service for asynchronous, batch access and Request Response service for low-latency synchronous response.

This video walks through creating a Web service graph for a predictive model and putting the predictive model into staging, using the Azure Machine Learning API service.

 

Visit Develop a predictive solution by using Azure Machine Learning to learn more.

Tags:

Follow the discussion

  • Oops, something didn't work.

    Getting subscription
    Subscribe to this conversation
    Unsubscribing
    Subscribing

Comments closed

Comments have been closed since this content was published more than 30 days ago, but if you'd like to continue the conversation, please create a new thread in our Forums, or Contact Us and let us know.