Azure ML Studio error while testing real-time endpoint - list index out of range

Question

I am new to the Azure ML Studio and just deployed the bike-rental regression model. When I tried to test it using the built in test tool in the studio, I am getting the attached error. Similar results running the Python code as well. Can someone please help me?

Answer 1

@Kumar, Priya Thanks for the question. It's known issue and the product team working on the fix to change in the UI.

Workaround: As shown below please set the GlobalParameters flag to 1.0 or a float number or remove it.

Answer 2

@Fernando José Ribeiro Júnior I had to modify the notebook as follows to get it to work:

x = [[1,1,2022,1,0,6,0,2,0.344167,0.363625,0.805833,0.160446],   
  
    [2,1,2022,1,0,0,0,2,0.363478,0.353739,0.696087,0.248539],   
  
    [3,1,2022,1,0,1,1,1,0.196364,0.189405,0.437273,0.248309],   
  
    [4,1,2022,1,0,2,1,1,0.2,0.212122,0.590435,0.160296],   
  
    [5,1,2022,1,0,3,1,1,0.226957,0.22927,0.436957,0.1869]]   
  
columns = ["day","mnth", "year", "season", "holiday", "weekday", "workingday", "weathersit", "temp", "atemp", "hum", "windspeed"]  
data = [{columns[i]: v for i, v in enumerate(x_i)} for x_i in x]  
  
request = {  
  "Inputs": {  
    "data": data  
  },  
  "GlobalParameters": 0.0 # not sure if this value matters  
}  
  
input_json = json.dumps(request)  

Answer 3

Azure ML Studio error while testing real-time endpoint - Input data are inconsistent with schema

Kindly help me to resolve this issue.

Thanks in Advance

Regards,
Prashanth K

Answer 4

Change GlobalParameters flag value from integer 1 to decimal 1.0 to make it works.

Answer 5

What about when making GET requests to the score endpoint or doing a POST? Is there a way of setting the GlobalParameters flag there? I get this just by doing an authorized GET to my endpoint from postman.