I am looking into how to properly setup a regression problem. My concern is with the targets. For example, for each example in my input, I have 3x5 numerical outputs.
Example 1: output_1 - 5, 6, 7, 53, 0.5
output_2 - 5, 0.3, 7, 53, 0.5
output_3 - 5, 6.2, 7, 53, 0.5
And so on. Basically it is a multi-target regression if I am not mistaken. In the end, I want to predict only final 5 values based on 3 outputs available for each input example. I would like some guidance on how to process such data and what kind of architecture would be best suited to begin with.