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

Matthieu Brucher matthieu.brucher@gmail....
Thu Feb 14 12:48:57 CST 2008


Hi,

How does it compare to the elarn scikit, especially for the SVM part ? How
was it implemented ?

Matthieu

2008/2/14, Davide Albanese <albanese@fbk.eu>:
>
> *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 Relief* for feature weighting for 2-class problems
>     * *Feature Ranking* methods based on Recursive Feature Elimination
>       (rfe, onerfe, erfe, bisrfe, sqrtrfe) and Recursive Forward
>       Selection (rfs)
>     * *Input Data* functions
>     * *Confidence Interval* functions
>
> Requires Python <http://www.python.org/> >= 2.4 and NumPy
> <http://www.scipy.org/> >= 1.0.3.*
> MLPY* is a project of MPBA Group <http://mpa.fbk.eu/> (mpa.fbk.eu) at
> Fondazione Bruno Kessler (www.fbk.eu). <http://www.fbk.eu/>*
> MLPY* is free software. It is licensed under the GNU General Public
> License (GPL) version 3 <http://www.gnu.org/licenses/gpl-3.0.html>.
>
> HomePage: mlpy.fbk.eu
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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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