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Models you create using Machine Learning are typically not static.

As new data becomes available or when the consumer of the API has their own data the model needs to be retrained.

The Batch Execution activity takes the training data as input and produces an i Learner file as an output.

The Update Resource activity then takes this i Learner file and use it to update the predictive web service.

We strongly recommend that you do not disable the update feature.

The update Resource Endpoint in the linked service is of the format: You can get values for place holders in the URL when querying the web service on the Azure Machine Learning Web Services Portal.

The new type of update resource endpoint requires service principal authentication.

Instead, change preferences for how often you'd like to be notified of newer versions.

The default setting is to notify on a weekly basis.

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