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I have a list of ML experiments which I have created in Azure Machine Learning Studio. I have deployed them as web services (the new version, not classic).

How can I go into Azure Machine Learning Web Services, click on a web service (which was deployed from an experiment), then navigate back to the experiment / predictive model which feeds it?

The only link I can find between the two is by updating the web service from the predictive experiment, which then confirms what the web service is. I can see that the "ExperimentId" is a GUID in the URL when in the experiment and the web service, so hopefully, this is possible.

My reasoning is that relying on matching naming conventions, etc., to select the appropriate model to update is subject to human error.

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You can click here to see this document on retraining model. 

This article should give you more insights.

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