Creating real-time endpoints through the UI
The crux of any real-time scoring solution is a real-time scoring endpoint, a web URL through which you can pass data and immediately retrieve ML predictions. Endpoints are hosted on containerized services that are up and running 24 hours a day, 7 days a week, waiting for incoming requests.
Requests send data to the endpoint for scoring and can be written in any computer language including Python. As soon as a request comes through, your endpoint will automatically execute the underlying code and return results.
You can use these endpoints anywhere; any coding language from C# to Python to Java can make use of real-time scoring endpoints. Thus, once you obtain the URL that hosts the endpoint, you are free to implement it in any other piece of code. Commonly, real-time scoring endpoints are incorporated in streaming jobs, web applications, and mobile apps.
When using real-time scoring endpoints based on AutoML models, there are...
