[R] train nnet

[Manuel Castejón Limas]

Dear Ilh

I was planning to dedicate a few hours this christmas to improve the AMORE
package. I would like to explore the possibilities of the openMP library
and to  programm a few more training algorithms. Right now the rbf
extension is ready but under testing.

I think that what you ask for would not need much time to get done. If you
provide me a detailed definition of your needs I can include them in my
to-do list. For that purpose it could be adequate to send me an email to
mcasl at unileon.es

Best wishes.

Manuel



> Hi R-helpers,
>
> Can some one tell me how to train 'mynn' of this type?:
> mynn <- nnet(y ~ x1 + ..+ x8, data = lgist, size = 2, rang = 0.1,
> decay = 5e-4, maxit = 200)
>
> I assume that this nn is untrained, and to train I have to split the
> original data into train:test data set,
> do leave-one-out refitting to refine the weights (please straighten
> this up if I was wrong).
>
> I just don't know how to do it in R. Is 'training' and
> 'training.reports' in (AMORE) able to do it?
>
> Thank you for any light on this.
>
> Ilh
>
>
>


-- 
Manuel Castejón Limas
Área de Proyectos de Ingeniería
Departamento de Ingenierías Mecánica, Informática y Aeroespacial
Universidad de León.
e-mail: manuel.castejon en unileon.es

Escuela de Ingenierías Industrial e Informática
Campus de Vegazana, sn. 24007. León