Dear Nina,

On Sun, 2009-11-01 at 17:29 +0200, Nina Jeliazkova wrote:
> chung wrote:
> > Dear Nina,
> >
> > On Sun, 2009-11-01 at 11:23 +0200, Nina Jeliazkova wrote:
> >   
> >> Dear Pantelis,
> >>
> >>
> >>     PMML 4.0 (June 2009) Extensions of Existing Elements: Addition of
> >>     multi-class classification for Support Vector Machines
> >>     <http://en.wikipedia.org/wiki/Support_Vector_Machines>,
> >>
> >>
> >> It seems to be specific to SVM, rather than generic support for multi
> >> class models, but this needs to be verified.  Regarding non-PMML API, if
> >> the number of target variables is not be fixed to 1, will this be
> >> sufficient?
> >>
> >>     
> >
> > In that case, we should have 2 different models. One for each target
> > feature.
> >   
> Not necessary, there are class of algorithms that can predict multiple
> targets at once.

Indeed! Here's the link: http://www.dmg.org/v4-0/MultipleModels.html 

Regards,
Pantelis

> 
> Regards,
> Nina
> >   
> >> Best regards,
> >> Nina
> >>
> >> chung wrote:
> >>     
> >>> Dear All,
> >>>   Is it possible to represent a classification model in the standard
> >>> PMML format if it consists of more than one discrimination functions
> >>> (i.e. there more than one classes)? If not we have to think about how we
> >>> could represent multi-class models. Intuitively, I say we could provide
> >>> a model for every discrimination function or modify the PMML schema but
> >>> I'm not much in favour of this solution.
> >>>   Well, I'm looking forward to read your thoughts on that.
> >>>
> >>> Best Regards,
> >>> Pantelis
> >>>
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> >>
> >>     
> >
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> >   
> 
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