IssueTracker

When deploying models on GCP AI paltform for online predictions, if the model is using low resources for testing purposes, the request might easily reach timeouts connections limits from the model endpoint and thus failing the predictions.

It would be a good enhancement to have the ability to set custom timeouts so that those deploying tests can be performed on reduced cost machines even if the prediction takes few minutes to be processed.