Leveraging Azure's Machine Learning capabilities through a Javascript Ajax request

Has anyone successfully called the Azure Machine Learning webservice using JavaScript Ajax?

Azure ML provides sample code for C#, Python, and R, but I'm struggling with JQuery Ajax.

Despite my efforts, calling the webservice using JQuery Ajax results in a failure.

Interestingly, I have been able to call the same service using a python script.

Below is the Ajax code I've been using:

  $.ajax({
        url: webserviceurl,
        type: "POST",           
        data: sampleData,            
        dataType:'jsonp',                        
        headers: {
        "Content-Type":"application/json",            
        "Authorization":"Bearer " + apiKey                       
        },
        success: function (data) {
          console.log('Success');
        },
        error: function (data) {
           console.log('Failure ' +  data.statusText + " " + data.status);
        },
  });

Answer №1

The issue arises from CORS not being activated on Azure ML web services. One potential solution is to enclose the Azure ML web service within Azure API management, allowing it to be accessed from JavaScript -

Answer №2

After conducting extensive research and experimentation, I successfully managed to utilize Azure ML by implementing some creative solutions.

One approach is to wrap the Azure ML webservice within an Azure API.

However, my innovative approach involved creating a python webservice to communicate with the Azure webservice.

Now, my HTML application interacts with the python webservice, which in turn accesses Azure ML and sends back the data to the HTML application.

Answer №3

In my personal experience, I have found that the issue appears to be related to a timeout. To resolve this, I suggest referencing the solution provided in the Stack Overflow thread Setting a timeout for AJAX requests using jQuery to adjust the timeout settings for the AJAX request.

I hope this suggestion proves to be helpful.


Another Stack Overflow thread that addresses a similar issue is Azure Machine Learning - CORS. I believe the solution provided there may also be useful for your situation, so I recommend giving it a try.

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