I'm suddenly getting a 400 error when validating a component spec in Azure ML that worked before—any idea what might have changed or how to troubleshoot it?

Question

Getting this error in my workspaces when I try to register a component earlier it was working perfectly I even tried registering components that are given as examples in the azure ml examples repository it also getting the same error. Any idea how to debug it and can anyone explain what is this error

Answer 1

Hello @Nikhil Pothineni ,

It seems to be a temporary issue, till yesterday it was giving error like you mentioned.

I can confirm now you can create component successfully.

Below is the sample training component i have registered.

$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: my_train
display_name: Train_upper_case
#version: 1b
type: command
inputs:
  training_data: 
    type: uri_folder
  max_epocs:
    type: integer
    min: 0
    max: 100
  learning_rate: 
    type: number
    default: 0.01
  learning_rate_schedule: 
    type: string
    default: time-based 
    enum:
        - "step"
        - "time-based"


outputs:
  model_output:
    type: uri_folder
code: .
environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest
command: >-
  python train.py 
  --training_data ${{inputs.training_data}} 
  --max_epocs ${{inputs.max_epocs}}   
  --learning_rate ${{inputs.learning_rate}}
  --learning_rate_schedule ${{inputs.learning_rate_schedule}} 
  --model_output ${{outputs.model_output}}

Here, my train.py and train.yml are in sample folder so i given . for code.

Created successfully.

If you still facing any error please add your yaml file content in comments so that i can reproduce the issue from my end.

Thank you

Answer 2

Thank you guys it is working now no worries thanks for helping