I have training data for 11 inputs and 2 outputs. Is there a library that can optimize the 11 inputs to minimize 1 output and maximize 1 output?
I have training data for 11 inputs and 2 outputs. Is there a library that can optimize the 11 inputs to minimize 1 output and maximize 1 output?
The outputs are distinct, so I can’t combine them. One has to be as close to 0 as possible and the other has to be as high as possible, and I need to optimize the inputs to do that.
output 1 - c*|output 2|
How about a custom loss function so you have something like loss=y1^2 -y2 for the two outputs? You can use PyTorch and optimize directly for the inputs.