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I've been testing a model using azureml for image classification. I see in this guide that it should be possible to view the underlying code: https://learn.microsoft.com/en-us/azure/machine-learning/v1/how-to-generate-automl-training-code?view=azureml-api-1&viewFallbackFrom=azureml-api-2

It's creating a seresnext model but when I go to the model and view generated code I just see some automl configs in script.py (automl_settings, mltable_data_json). I'd like to view the actual model code so I can adjust it in my own azureml compute session. Something like the generate_algorithm_config in the above tutorial. Is this possible?

Will
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1 Answers1

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You can view the training code in the Azure Machine Learning studio UI on the Outputs + logs tab of the selected model. The file script.py contains the model's training code that you may want to analyze with the featurization steps, specific algorithm used, and hyperparameters.

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“AutoML CodeGen” Preview documentation and feedback/issues channel: GitHub repo: Azure/automl-codegen-preview: AutoML code generation (github.com)

Ramprasad
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