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: [EMAIL PROTECTED] Escuela de Ingenierías Industrial e Informática Campus de Vegazana, sn. 24007. León ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
