How to calculate features in future time frames in azure ml

Question

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

Answer 1

@Alex B ,

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)

We are actively working to onboard all services. We will make a public announcement once complete.
Thank you for your patience as we evolve the Q&A platform.

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