azureml-workshop-2019
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Need documentation on how to use Experiment vs. Run
We have documentation on experiments and on runs, but no guidance in our "Concepts" section on how to decide whether something the user is doing is an experiment or a run.
That is kind of explained in this page: https://docs.microsoft.com/en-us/azure/machine-learning/concept-azure-machine-learning-architecture?view=azure-ml-py#experiments
However, that list of concepts looks to me a laundry list... I think we should have a more structured/hierarchical list of concepts, kind of a hierarchical taxonomy of concepts in that page.
I created a related DOCUMENTATION issue here: https://github.com/MicrosoftDocs/azure-docs/issues/46420