Unable to register custom Azure ML designer with an environment configuration file.

Question

Hello Team, I wish to create a custom Azure ML designer component and run that component on an environment with some additional libraries. For this purpose i am using a conda configuration file and referencing this https://github.com/Azure/azureml-examples/tree/main/cli/jobs/pipelines-with-components/basics/5c_env_conda_file to create my component.

During the registration process i am repeatedly getting an error message in validating component spec as below:

Although my folder structure appears to be okay as well as the component.yml file . Any advice or suggestion would be great. Thank you in advance!

Answer 1

Hi Kundu, Pitambar

It seems you are encountering an error when trying to register a custom Azure ML designer component. The error message indicates that the YAML file conda.yaml is not found. This usually happens when the file is not in the expected location or there is a mismatch in the file name referenced in the component specification.

Looking at the screenshots you've provided, the structure of your files appears to be correct, and the conda.yaml file is present. Here are a few steps you can take to troubleshoot this issue:

• File Naming and Path: Double-check the file name and path in your component specification YAML file. Make sure that the conda.yaml file is named exactly as it is referenced (case-sensitive) and that the path specified is relative to the location of the component YAML file.
• Folder Structure: Ensure that when you are specifying the folder to upload, it contains the conda.yaml file within it. The structure should be exactly as the Azure ML expects.
• File Reference in YAML: In the component YAML file, make sure the reference to the conda.yaml file is correct. It should be under environment: block as conda_file: conda.yaml.
• YAML Syntax: YAML is very sensitive to indentation and formatting. Verify that there are no syntax errors in your YAML files.
• File Corruption or Permissions: Sometimes, the file might be corrupted or there might be permission issues. Try re-creating the conda.yaml file and ensure it is readable and not corrupted.
• Validation Against Schema: Use the schema provided by Azure ML to validate your component YAML file. There may be additional fields or structure required by Azure ML that you might need to include.

I hope this helps with your query?