azureml-workshop-2019
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Data guardrails need some explanation
It's good to know that I passed a check for high cardinality features, but why do I care? What's the impact on my ability to fit a good model? What action should I take to avoid generating high-quality data in the future?
Bug filed here: https://msdata.visualstudio.com/Vienna/_workitems/edit/587858