Well this is an input parameter, I'd like to access the cost function
directly so that I can use it to follow its gradient to the limit between
the two classes.

Matthieu

2008/2/15, Davide Albanese <[EMAIL PROTECTED]>:
>
> Yes: https://mlpy.fbk.eu/wiki/MlpyExamplesWithDoc
>
> * svm()
> Initialize the svm class.
>
>         Inputs:
>         ...
>         cost     - for cost-sensitive classification [-1.0, 1.0]
>
>
>
> Matthieu Brucher ha scritto:
>
> > OK, I'll try it then :)
> >
> > Is there an access to the underlying cost function ? (this is mainly
> > what I need)
> >
> > Matthieu
> >
>
> > 2008/2/15, Davide Albanese <[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>>:
>
> >
> >     I don't know very well libsvm too, the core of svm-mlpy is written
> >     in C
> >     and was developed by Stefano Merler ([EMAIL PROTECTED]
>
> >     <mailto:[EMAIL PROTECTED]>).
>
> >     I have simply wrapped it into svm() Python class.
> >
> >     Regards,
> >
> >     /* da */
> >
> >
> >
> > --
> > French PhD student
> > Website : http://matthieu-brucher.developpez.com/
> > Blogs : http://matt.eifelle.com and http://blog.developpez.com/?blog=92
> > LinkedIn : http://www.linkedin.com/in/matthieubrucher
>
>
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>



-- 
French PhD student
Website : http://matthieu-brucher.developpez.com/
Blogs : http://matt.eifelle.com and http://blog.developpez.com/?blog=92
LinkedIn : http://www.linkedin.com/in/matthieubrucher
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