<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>

CC BY-SA 4.0
2020-10-23T15:56:12.313Z
"would that be possible for y as an output vector?": please, could you clarify this phrase ?
pasaba por aqui
CC BY-SA 4.0
2020-10-23T16:05:24.827Z
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.
e.Fro
<machine-learning><classification><ai-design><regression><algorithm-request>
How to find a parameter combination for a black box using AI?
e.Fro
# 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

