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How to Use Amazon Machine Learning with Multivalued Data

Amazon Machine Learning works with CSV data files. It doesn't seem to have the ability to work with relational data to represent one-to-many relationships.

How do I transform a relational dataset so it can be used for machine learning?

Would it be better to denormalize the dataset, or am I thinking about it wrong?

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Your best bet would be to denormalize the dataset so that each input observation has all the attributes (columns) needed for prediction. If you can provide multiple lines of example data, even using the input data values, I would be happy to help more.



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