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Azure ML Pipeline Test
Purpose
Test deployment of Azure ML Pipeline and look at outputs and download trained model.
Key Things Learned
When you create train.py and prep.py or any other environment files, they should be stored under ./src in your notebook directory.
You need to understand a bit of what you are trying to have it do as it can't think or make suppositions in a normal way. Garbage in, garbage out.
Final Code
