azure machine learning SDK

Question

How to import data not by passing it as an argument,
I do not want to do as the tutorial https://learn.microsoft.com/en-us/azure/machine-learning/how-to-train-with-datasets?source=docs

Answer 1

Hello @ben wu

Thanks for reaching out to us, there is the code sample from engineering team

from azureml.core import ScriptRunConfig  
  
input_data=titanic_ds.as_named_input('input_data').as_mount()  
src = ScriptRunConfig(source_directory=script_folder,  
                      script='train_titanic.py',  
                      compute_target=compute_target)  
src.run_config.data = {input_data.name: input_data }  
# Submit the run configuration for your training run  
run = experiment.submit(src)  
run.wait_for_completion(show_output=True)    

In your script, you can get the mounted path via environment variable, which is the value you specified in as_named_input. For the sample code above, the environment variable will be input_data.

I hopet this helps.

Regards,
Yutong

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