I hope this message finds you well.
I recently reviewed the time series analysis performed at the following link: “https://www.tensorflow.org/tutorials/structured_data/time_series.”
I have a specific question regarding the methodology outlined in the tutorial, particularly concerning a window with an input length of 24, an output length of 24, and a shift of 1. After training, validating, and testing the model, I am curious about the process of forecasting an unknown series using the provided input data.
In the tutorial, it is mentioned that 19 features, including the output label, were utilized. My query pertains to the feasibility of forecasting when only 18 features are available, excluding the output label data. This is particularly relevant because the input incorporates the temperature (output label) series.
I appreciate your assistance in clarifying this matter.
Thanks & Regards