Il Wed, 16 Jun 2021 11:37:42 +1200, Greg Ewing ha scritto:
> On 15/06/21 10:07 pm, Elena wrote:
>> After the optimization, I will use f just to predict new Xi.
>
> So you're going to use f backwards?
>
> I don't see how that will work. Where are you going to find a new yi to
> feed into the inve
Il Tue, 15 Jun 2021 01:53:09 +, Martin Di Paola ha scritto:
> From what I'm understanding it is an "optimization problem" like the
> ones that you find in "linear programming".
>
> But in your case the variables are not Real (they are Integers) and the
> function to minimize g() is not linear
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
>
Il Mon, 14 Jun 2021 19:39:17 +1200, Greg Ewing ha scritto:
> On 14/06/21 4:15 am, Elena wrote:
>> Given a dataset of X={(x1... x10)} I can calculate Y=f(X) where f is
>> this rule-based function.
>>
>> I know an operator g that can calculate a real value from Y: e = g(Y)
>> g is too complex to be
Hi, I have, say 10 variables (x1 ... x10) which can assume discrete finite
values, for instance [0,1 or 2].
I need to build a set of rules, such as:
1) if x1==0 and x2==1 and x10==2 then y = 1
2) if x2==1 and x3==1 and x4==2 and x6==0 then y = 0
3) if x2==0 and x3==1 then y = 2
4) if x6==0 and x7
