Body: <p>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.</p>
  <p>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.</p>
  <p>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?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-10-23T15:56:12.313Z
Comments.Text: "would that be possible for y as an output vector?": please, could you clarify this phrase ?
Comments.UserDisplayName: pasaba por aqui
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-10-23T16:05:24.827Z
Comments.Text: 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.
Comments.UserDisplayName: e.Fro
Tags: <machine-learning><classification><ai-design><regression><algorithm-request>
Title: How to find a parameter combination for a black box using AI?
UserDisplayName: e.Fro
ThreadText: # How to find a parameter combination for a black box using AI?
  
  (Asked by: username_0 on 2020-10-23)
  
  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?
  
  **Tags:** machine-learning, classification, ai-design, regression, algorithm-request
  
  > **Comments:**
  > **username_1**: "would that be possible for y as an output vector?": please, could you clarify this phrase ?  
  > **username_0**: 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.  
  
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  ## 0 answers
  
  