[Numpy-discussion] MLPY - Machine Learning Py - Python/NumPy based package for machine learning

Davide Albanese albanese at fbk.eu
Fri Feb 15 09:59:21 EST 2008


Ok, sorry! The cost function is embedded into the C smo() function. I 
think that you cannot access it directly.

Matthieu Brucher ha scritto:
> 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 at fbk.eu <mailto:albanese at 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 at fbk.eu
>     <mailto:albanese at fbk.eu> <mailto:albanese at fbk.eu
>     <mailto:albanese at 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 at fbk.eu
>     <mailto:merler at fbk.eu>
>
>     >     <mailto:merler at fbk.eu <mailto:merler at 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 




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