optimization of rule-based model on discrete variables

[Elena]

Il Tue, 15 Jun 2021 10:40:05 +1200, Greg Ewing ha scritto:

> On 15/06/21 12:51 am, Elena wrote:
> Hmmm, so the problem breaks down into two parts:
> (1) find a vector Y that minimises g (2) find a set of rules that will
> allow you to predict each component of Y from its corresponding X values
> 
> Is that right?

Correct, the split can be an interesting approach.

> 
> I ztill don't really understand. What are you going to do with this
> function f once you have it?
> 
> I would have thought the idea was that if someone gives you a new
> mixture X[n+1] you can use f to predict how well it will work.
> But that will just give you a y[n+1], and it's not clear what to do with
> that. Do you append it to Y and feed an n+1 component vector into g?
> 
> I think I still need more information about the underlying problem
> before I can help you much.

After the optimization, I will use f just to predict new Xi.

Thanks