Hello,
I'm new to azure and have run into a problem when deploying my first experiment. Suppose I'm trying to forecast the retail sales for a location, the features used are the historical weather and foot traffic. It seems that if I want to forecast the sales for a week into the future, I will have to provide the weather and foot traffic expected at that time, which means that I will need to forecast the features as well. Is this correct? What am I missing?
Thank you
Thanks for posting the question on Microsoft Q&A.
Azure Machine Learning service is yet to be migrated to Q&A. Please post your question directly on the MSDN forum for the service (Azure Machine Learning forum)
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Kindly re-post the question on the ML forum on MSDN with more details on your scenario and any error you may have seen with your first experiment.
Having mentioned that, I see a good document 'Auto-train a time-series forecast model' which describes on how to prepare the feature data for forecasting. Hope that helps!
You may wish to see the article: Microsoft Q&A - Frequently Asked Questions
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