pormflakes-o_o t1_ix5ko3w wrote on November 20, 2022 at 10:34 PM

I'm looking for an algorithm that will do the following: the user chooses some parameters, the algorithm then looks for the remaining parameters which minimize some value that is dependent on all of the parameters.
I'm thinking of genetic algorithms but I have no idea which would be appropriate.
I'm open to any suggestions! I'm new to ML if it wasn't obvious ;)

I-am_Sleepy t1_ix8d95u wrote on November 21, 2022 at 3:14 PM

Genetic or gradient-based is okay, but if you really don't want to do anything and have only few parameters, you can use HyperOpt (It usually being used to optimize hyper-parameters, because it treat the objective as a black-box)