I’m wondering if it’s possible to use machine learning to solve black box problems.
for example, if I have a black box that takes 6 inputs and outputs 6 value and i have a bunch of input-output sets generated from this black box, can I feed these sets into a machine learning algorithm so it can mimic the black box?
If so, what plugin can I use for this?
I’ve looked at lunchbox and crow, but their result have to be predefined, and te plugin just tells you which predefined result is most likely. But I dont want to predefine the possible results, cause lets say each of the 6 output is a number 1 to 180, I would have to define ten trillion possibilities…