Choosing a model in ML.NET
I'm new to ML.NET (and ML in general) and I'm trying to learn a bit. My problem is the following:
I have n iterations of a constant set of variables, and depending on the values of these variables I will get a score. The next iteration, n + 1, is dependent on the variables input in iteration n for it's score, and the variables of the current (n + 1) iteration. How would I choose an ML model to optimize the values of the variables each iteration in order to maximize the total score of all iterations?
I have n iterations of a constant set of variables, and depending on the values of these variables I will get a score. The next iteration, n + 1, is dependent on the variables input in iteration n for it's score, and the variables of the current (n + 1) iteration. How would I choose an ML model to optimize the values of the variables each iteration in order to maximize the total score of all iterations?
