[D] A problem that seems like a ML problem.

Hello.

I work on a system that is highly parameterized i.e. has a high number of parameters (binary values or a range of integers). These parameters are not independent. Although a lot of the possible combinations are not valid, they still result in a very high number of possible configurations.

Now, the task at hand is to find the best configuration of this parameterized system that will maximize a metric that is directly measurable, subject to the input setting. Again …

binary hello independent integers machinelearning parameters values work