Hi,
I’m reading the Rossman forecasting notebook from Lesson 3 and I wonder if it’s “fair” (or realistic) for us to include the actual google trend and weather data in our training and testing. Consider a real-world scenario where we need to forecast sales in the future and, at the moment of forecasting, we don’t have the future google trend or weather data, and if we really want those features, we’ll need to do another forecast for them. In the notebook (if I read it correctly), it looks like we just joined our test data directly with the actual google trend and weather as follows:
joined_test = join_df(joined_test, googletrend, ["State","Year", "Week"])
joined_test = join_df(joined_test, weather, ["State","Date"])
What do you think?