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Hello all,
I coded some ML models using darts library on local desktop.
I am trying to build the pipeline in Azure ML Studio, using the in-built component 'Execute Python Script' in the designer tab.
What I am doing is, compressing the '.py' files of my code on local desktop into a zip file, and passing it into the 'Script bundle' argument of 'Execute Python Script' component of Azure ML, so that the code programmed on the local desktop could be reused in that component of pipeline.
What the issue is, the python version of 'Execute Python Script' component shows up as 3.6.8 and the darts library is suitable for python versions 3.8 and above. This version gap does not let the pipeline execute successfully and ends up throwing the following error:
azureml.studio.common.error.FailedToEvaluateScriptError: The following error occurred during script evaluation, please view the output log for more information:
----------
Start of error message from Python interpreter ----------
Got exception when invoking script at line 38 in function azureml_main: 'ImportError: cannot import name 'parse_version''.
----------
End of error message from Python interpreter ----------
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@Waghbakriwala, Arif Thanks for the question. Here is the sample repo for creating the components.
Can you please share the script that you are trying in execute python script.
Hi,
I went through the repo & understood context in yaml scripts & corresponding python files
I wonder how would you insert or push those modules (ones in the repo) onto azure ml and use it in designer feature to build pipeline. I know there are installation guidelines available in the link of the repo you shared, but I am not able to perform those actions from my end (especially from the front end)
Then I tried it using Azure CLI, what I did is, copied the code of one of the modules (yaml & py scripts) from the repo you shared, put both of them in one folder in the notebooks section of azure ml.
Then I opened the terminal on that folder and executed the following command- az ml component create --file add_lag_column.spec.yaml which ended up in the following error 'Unsupported component type: commandcomponent'.
Can you please tell me how do I overcome this?
Link to the module I was trying to replicate in my workspace : aml_add_lag_column
Thank you so much for your time
@Waghbakriwala, Arif Thanks for the details. Here is the troubleshooting guide for design error codes.
https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/designer-error-codes
Here is the sample notebook for creating the custom components and document for component SDK.