t; between the two classes.
>
> Matthieu
>
> 2008/2/15, Davide Albanese <[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>>:
>
> Yes: https://mlpy.fbk.eu/wiki/MlpyExamplesWithDoc
>
> * svm()
> Initialize the svm class.
>
> Inputs:
&g
Whith "standard" Python:
>>> who()
Robin ha scritto:
> On Thu, Feb 14, 2008 at 8:43 PM, Alexander Michael <[EMAIL PROTECTED]> wrote:
>
>> Is there a way to list all of the arrays that are referencing a given
>> array? Similarly, is there a way to get a list of all arrays that are
>> currentl
nderlying 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
in other terms : how does it compare to libsvm,
> which is one of the most known packages for SVMs ?
>
> Matthieu
>
> 2008/2/15, Davide Albanese <[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>>:
>
> Dear Matthieu,
> I don't know very well sci
19(10), 1597-1611,
2006.
/* da */
Matthieu Brucher ha scritto:
> Hi,
>
> How does it compare to the elarn scikit, especially for the SVM part ?
> How was it implemented ?
>
> Matthieu
>
> 2008/2/14, Davide Albanese <[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>>
ss.org/software/
> ("mloss" is "machine learning open source software")
> Regards, D.
>
> Davide Albanese wrote:
>
>> *Machine Learning Py* (MLPY) is a *Python/NumPy* based package for
>> machine learning.
>> The package now includes:
>>
&g
*Machine Learning Py* (MLPY) is a *Python/NumPy* based package for
machine learning.
The package now includes:
* *Support Vector Machines* (linear, gaussian, polinomial,
terminated ramps) for 2-class problems
* *Fisher Discriminant Analysis* for 2-class problems
* *Iterative Rel
