Re: Model object as output after fitting the linear model

[Markus]

Am 2014-09-22 13:53, schrieb Krishnaprasad:
> Hallo all,
>
> I am using Octave 3.8.0 to build a linear model that has several input
> features and one output feature. I am using this model in order to 
> predict
> the output for the given set of input features. When I searched on the 
> web
> for statistical packages, I found the following functions: polyfit and
> regress. But none of these functions returns me a model object which I 
> can
> use it for prediction.
>
> Can I kindly know from the forum is there a function in octave that 
> returns
> me a model object for linear regression?


Something like that?


function f = fitml(y)

        B = polyfit (1:length(y),y,1);
        f = @(x) (B(1))*x + B(2);

end



octave:1> y = [0 1 3 2 4 3 6 5 6 7];
octave:2> model1 = fitml(y)
model1 =

@(x) B (1) * x + B (2)

octave:3> model1(192)
ans =     138.206060606061
octave:4> polyfit (1:length(y),y,1)
ans =

     0.721212121212121    -0.266666666666668

octave:5> ans(1)*192+ans(2)
ans =     138.206060606061


And if you need informations about m and b

function f = fitml(y)

        B = polyfit (1:length(y),y,1);
        f.mdl = @(x) B(1)*x + B(2);
        f.m = rats(B(1)); % this is a char!
        f.b = rats(B(2)); % this is a char!

end


use f = fitml(y); and f.mdl(192) or f.m e.g.

But maybe I don't understand what you're looking for.




> Best regards,
> Krishnaprasad
>
>
>
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