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 <albanese@fbk.eu>:
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 <albanese@fbk.eu <mailto:albanese@fbk.eu>>:

>
>     I don't know very well libsvm too, the core of svm-mlpy is written
>     in C
>     and was developed by Stefano Merler (merler@fbk.eu

>     <mailto:merler@fbk.eu>).

>     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