I am working on a project where I encountered a component which takes 96 arguments (all integer values) and outputs 12 float values. I would like to find a useful combination of these 96 values to receive the output that I want while avoiding random guessing, so the desired behavior would be that I provide the outcome and receive the 96 inputs to use them in my component.

Unfortunately I am not that experienced in that field. If I think about how I can implement this, my first thought was a kind of classification task, since I could build a dataset but the problem here is that I need integer values.

A second guess was a regression but would that be possible for y as an output vector? Are there some other approaches that could fit to my use case?

  • $\begingroup$ "would that be possible for y as an output vector?": please, could you clarify this phrase ? $\endgroup$ Oct 23, 2020 at 15:56
  • $\begingroup$ I‘m sorry, I was talking about multi-output regression but in this case I would have 96 output values and I was wondering if this could yield any useful result. $\endgroup$
    – e.Fro
    Oct 23, 2020 at 16:05


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